From 0c5445bb41b13a5ef9c54cf367965b859839ed90 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Wed, 27 Jul 2022 00:16:25 -0700
Subject: [PATCH 01/16] Added AHP example to assist DAO decision methodology /
 system.

---
 .../Analytical Hierarchy Process.png          |  Bin 0 -> 230153 bytes
 bancor_research/bancor_ahp/ahp-example.ipynb  | 1251 +++++++++++++++++
 bancor_research/bancor_ahp/ahp_example.csv    |    5 +
 3 files changed, 1256 insertions(+)
 create mode 100644 bancor_research/bancor_ahp/Analytical Hierarchy Process.png
 create mode 100644 bancor_research/bancor_ahp/ahp-example.ipynb
 create mode 100644 bancor_research/bancor_ahp/ahp_example.csv

diff --git a/bancor_research/bancor_ahp/Analytical Hierarchy Process.png b/bancor_research/bancor_ahp/Analytical Hierarchy Process.png
new file mode 100644
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literal 0
HcmV?d00001

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# AHPy\n",
+    "\n",
+    "**AHPy** is an implementation of the Analytic Hierarchy Process ([AHP](https://en.wikipedia.org/wiki/Analytic_hierarchy_process)), a method used to structure, synthesize and evaluate the elements of a decision problem. Developed by [Thomas Saaty](http://www.creativedecisions.org/about/ThomasLSaaty.php) in the 1970s, AHP's broad use in fields well beyond that of operational research is a testament to its simple yet powerful combination of psychology and mathematics.\n",
+    "\n",
+    "<p align=\"center\">\n",
+    "<img width=\"680\" src=\"Analytical Hierarchy Process.png\" alt=\"bancor3\" />\n",
+    "</p>"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 994,
+   "outputs": [],
+   "source": [
+    "from fractions import Fraction\n",
+    "import itertools\n",
+    "import random\n",
+    "import pandas as pd\n",
+    "import ahpy"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### The following code demonstrates how to arrive at a decision matrix such as that shown below."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1027,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "    Fees  Resources  Deficit  Alignment   Risk  Total\n0  0.346       0.45    0.318      0.222  0.222  1.558\n1  0.269       0.40    0.273      0.259  0.185  1.386\n2  0.192       0.05    0.227      0.259  0.259  0.987\n3  0.192       0.10    0.182      0.259  0.333  1.066",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Fees</th>\n      <th>Resources</th>\n      <th>Deficit</th>\n      <th>Alignment</th>\n      <th>Risk</th>\n      <th>Total</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.346</td>\n      <td>0.45</td>\n      <td>0.318</td>\n      <td>0.222</td>\n      <td>0.222</td>\n      <td>1.558</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.269</td>\n      <td>0.40</td>\n      <td>0.273</td>\n      <td>0.259</td>\n      <td>0.185</td>\n      <td>1.386</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.192</td>\n      <td>0.05</td>\n      <td>0.227</td>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.987</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.192</td>\n      <td>0.10</td>\n      <td>0.182</td>\n      <td>0.259</td>\n      <td>0.333</td>\n      <td>1.066</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1027,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.read_csv('ahp_example.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 995,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Simulated survey takers (could be only the task force or volunteers or the entire dao survey respondents)\n",
+    "dao_survey_respondents = {\n",
+    "    'Mark': [],\n",
+    "    'Rick': [],\n",
+    "    'Stefan': [],\n",
+    "    'Tyler': []\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### "
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 996,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "[('Airswap Proposal', 'USDT liquidity Proposal'),\n ('Airswap Proposal', 'Remove BNT from pools Proposal'),\n ('Airswap Proposal', 'Enable deposits Proposal'),\n ('USDT liquidity Proposal', 'Remove BNT from pools Proposal'),\n ('USDT liquidity Proposal', 'Enable deposits Proposal'),\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal')]"
+     },
+     "execution_count": 996,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Alternative recovery proposals\n",
+    "alternatives = (\n",
+    "    'Airswap Proposal',\n",
+    "    'USDT liquidity Proposal',\n",
+    "    'Remove BNT from pools Proposal',\n",
+    "    'Enable deposits Proposal'\n",
+    ")\n",
+    "alternatives_pairs = list(itertools.combinations(alternatives, 2))\n",
+    "alternatives_pairs"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 997,
+   "outputs": [],
+   "source": [
+    "# Simulated survey takers with randomized responses for demonstration\n",
+    "def simulate_dao_survey(alternatives_pairs, survey, results={}, response={}):\n",
+    "    for alternative in alternatives_pairs:\n",
+    "        for comparison in survey:\n",
+    "            importance = random.randint(1, 9)\n",
+    "            results[comparison] = importance\n",
+    "    return [float(Fraction(results[alternatives_pairs[i][0]], results[alternatives_pairs[i][1]])) for i in range(len(alternatives_pairs))]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Pairwise survey questions using a standardized ranking system such the [fundamental scale](https://en.wikipedia.org/wiki/Analytic_hierarchy_process_–_car_example)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 998,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 1.4,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 0.7777777777777778,\n ('Airswap Proposal', 'Enable deposits Proposal'): 1.4,\n ('USDT liquidity Proposal',\n  'Remove BNT from pools Proposal'): 0.5555555555555556,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 1.0,\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal'): 1.8}"
+     },
+     "execution_count": 998,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fees_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "fees_comparisons = dict(zip(alternatives_pairs, fees_values))\n",
+    "fees_comparisons"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 999,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 8.0,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 0.8888888888888888,\n ('Airswap Proposal', 'Enable deposits Proposal'): 4.0,\n ('USDT liquidity Proposal',\n  'Remove BNT from pools Proposal'): 0.1111111111111111,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 0.5,\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal'): 4.5}"
+     },
+     "execution_count": 999,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "resources_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "resources_comparisons = dict(zip(alternatives_pairs, resources_values))\n",
+    "resources_comparisons"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1000,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 1.2,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 0.8571428571428571,\n ('Airswap Proposal', 'Enable deposits Proposal'): 1.5,\n ('USDT liquidity Proposal',\n  'Remove BNT from pools Proposal'): 0.7142857142857143,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 1.25,\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal'): 1.75}"
+     },
+     "execution_count": 1000,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deficit_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "deficit_comparisons = dict(zip(alternatives_pairs, deficit_values))\n",
+    "deficit_comparisons"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1001,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 1.0,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 1.1666666666666667,\n ('Airswap Proposal', 'Enable deposits Proposal'): 1.0,\n ('USDT liquidity Proposal',\n  'Remove BNT from pools Proposal'): 1.1666666666666667,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 1.0,\n ('Remove BNT from pools Proposal',\n  'Enable deposits Proposal'): 0.8571428571428571}"
+     },
+     "execution_count": 1001,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alignment_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "alignment_comparisons = dict(zip(alternatives_pairs, alignment_values))\n",
+    "alignment_comparisons"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1002,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 0.8,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 0.4444444444444444,\n ('Airswap Proposal', 'Enable deposits Proposal'): 0.5,\n ('USDT liquidity Proposal',\n  'Remove BNT from pools Proposal'): 0.5555555555555556,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 0.625,\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal'): 1.125}"
+     },
+     "execution_count": 1002,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "legal_risk_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "legal_risk_comparisons = dict(zip(alternatives_pairs, legal_risk_values))\n",
+    "legal_risk_comparisons\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1003,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 0.3333333333333333,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 3.0,\n ('Airswap Proposal', 'Enable deposits Proposal'): 1.0,\n ('USDT liquidity Proposal', 'Remove BNT from pools Proposal'): 9.0,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 3.0,\n ('Remove BNT from pools Proposal',\n  'Enable deposits Proposal'): 0.3333333333333333}"
+     },
+     "execution_count": 1003,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lp_alienation_risk_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "lp_alienation_risk_comparisons = dict(zip(alternatives_pairs, lp_alienation_risk_values))\n",
+    "lp_alienation_risk_comparisons\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1004,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 8.0,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 4.0,\n ('Airswap Proposal', 'Enable deposits Proposal'): 2.0,\n ('USDT liquidity Proposal', 'Remove BNT from pools Proposal'): 0.5,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 0.25,\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal'): 0.5}"
+     },
+     "execution_count": 1004,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reputational_risk_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "reputational_risk_comparisons = dict(zip(alternatives_pairs, reputational_risk_values))\n",
+    "reputational_risk_comparisons\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1005,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 3.0,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 3.0,\n ('Airswap Proposal', 'Enable deposits Proposal'): 1.5,\n ('USDT liquidity Proposal', 'Remove BNT from pools Proposal'): 1.0,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 0.5,\n ('Remove BNT from pools Proposal', 'Enable deposits Proposal'): 0.5}"
+     },
+     "execution_count": 1005,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "security_risk_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "security_risk_comparisons = dict(zip(alternatives_pairs, security_risk_values))\n",
+    "security_risk_comparisons\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1006,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{('Airswap Proposal', 'USDT liquidity Proposal'): 0.7142857142857143,\n ('Airswap Proposal', 'Remove BNT from pools Proposal'): 0.8333333333333334,\n ('Airswap Proposal', 'Enable deposits Proposal'): 0.5555555555555556,\n ('USDT liquidity Proposal',\n  'Remove BNT from pools Proposal'): 1.1666666666666667,\n ('USDT liquidity Proposal', 'Enable deposits Proposal'): 0.7777777777777778,\n ('Remove BNT from pools Proposal',\n  'Enable deposits Proposal'): 0.6666666666666666}"
+     },
+     "execution_count": 1006,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "risk_values = simulate_dao_survey(alternatives_pairs, alternatives)\n",
+    "risk_comparisons = dict(zip(alternatives_pairs, risk_values))\n",
+    "risk_comparisons"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Use the AHPy library to calculate comparison values."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1007,
+   "outputs": [],
+   "source": [
+    "comparisons=[]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1008,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Fees\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Remove BNT from pools Proposal\": 0.346,\n",
+      "        \"Airswap Proposal\": 0.269,\n",
+      "        \"USDT liquidity Proposal\": 0.192,\n",
+      "        \"Enable deposits Proposal\": 0.192\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.346,\n",
+      "            \"Airswap Proposal\": 0.269,\n",
+      "            \"USDT liquidity Proposal\": 0.192,\n",
+      "            \"Enable deposits Proposal\": 0.192\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.346,\n",
+      "            \"Airswap Proposal\": 0.269,\n",
+      "            \"USDT liquidity Proposal\": 0.192,\n",
+      "            \"Enable deposits Proposal\": 0.192\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "      Remove BNT from pools Proposal  Airswap Proposal  \\\nFees                           0.346             0.269   \n\n      USDT liquidity Proposal  Enable deposits Proposal  \nFees                    0.192                     0.192  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>Airswap Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Enable deposits Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Fees</th>\n      <td>0.346</td>\n      <td>0.269</td>\n      <td>0.192</td>\n      <td>0.192</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1008,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fees = ahpy.Compare('Fees', fees_comparisons, precision=3)\n",
+    "report = fees.report(show=True)\n",
+    "fees_df = pd.DataFrame(fees.target_weights, index=['Fees'])\n",
+    "comparisons.append(fees_df)\n",
+    "fees_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1009,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Resources\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Remove BNT from pools Proposal\": 0.45,\n",
+      "        \"Airswap Proposal\": 0.4,\n",
+      "        \"Enable deposits Proposal\": 0.1,\n",
+      "        \"USDT liquidity Proposal\": 0.05\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.45,\n",
+      "            \"Airswap Proposal\": 0.4,\n",
+      "            \"Enable deposits Proposal\": 0.1,\n",
+      "            \"USDT liquidity Proposal\": 0.05\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.45,\n",
+      "            \"Airswap Proposal\": 0.4,\n",
+      "            \"Enable deposits Proposal\": 0.1,\n",
+      "            \"USDT liquidity Proposal\": 0.05\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "           Remove BNT from pools Proposal  Airswap Proposal  \\\nResources                            0.45               0.4   \n\n           Enable deposits Proposal  USDT liquidity Proposal  \nResources                       0.1                     0.05  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>Airswap Proposal</th>\n      <th>Enable deposits Proposal</th>\n      <th>USDT liquidity Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Resources</th>\n      <td>0.45</td>\n      <td>0.4</td>\n      <td>0.1</td>\n      <td>0.05</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1009,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "resources = ahpy.Compare('Resources', resources_comparisons, precision=3)\n",
+    "report = resources.report(show=True)\n",
+    "resources_df = pd.DataFrame(resources.target_weights, index=['Resources'])\n",
+    "comparisons.append(resources_df)\n",
+    "resources_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1010,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Deficit\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Remove BNT from pools Proposal\": 0.318,\n",
+      "        \"Airswap Proposal\": 0.273,\n",
+      "        \"USDT liquidity Proposal\": 0.227,\n",
+      "        \"Enable deposits Proposal\": 0.182\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.318,\n",
+      "            \"Airswap Proposal\": 0.273,\n",
+      "            \"USDT liquidity Proposal\": 0.227,\n",
+      "            \"Enable deposits Proposal\": 0.182\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.318,\n",
+      "            \"Airswap Proposal\": 0.273,\n",
+      "            \"USDT liquidity Proposal\": 0.227,\n",
+      "            \"Enable deposits Proposal\": 0.182\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "         Remove BNT from pools Proposal  Airswap Proposal  \\\nDeficit                           0.318             0.273   \n\n         USDT liquidity Proposal  Enable deposits Proposal  \nDeficit                    0.227                     0.182  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>Airswap Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Enable deposits Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Deficit</th>\n      <td>0.318</td>\n      <td>0.273</td>\n      <td>0.227</td>\n      <td>0.182</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1010,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "deficit = ahpy.Compare('Deficit', deficit_comparisons, precision=3)\n",
+    "report = deficit.report(show=True)\n",
+    "deficit_df = pd.DataFrame(deficit.target_weights, index=['Deficit'])\n",
+    "comparisons.append(deficit_df)\n",
+    "deficit_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1011,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Alignment\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Airswap Proposal\": 0.259,\n",
+      "        \"USDT liquidity Proposal\": 0.259,\n",
+      "        \"Enable deposits Proposal\": 0.259,\n",
+      "        \"Remove BNT from pools Proposal\": 0.222\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Airswap Proposal\": 0.259,\n",
+      "            \"USDT liquidity Proposal\": 0.259,\n",
+      "            \"Enable deposits Proposal\": 0.259,\n",
+      "            \"Remove BNT from pools Proposal\": 0.222\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Airswap Proposal\": 0.259,\n",
+      "            \"USDT liquidity Proposal\": 0.259,\n",
+      "            \"Enable deposits Proposal\": 0.259,\n",
+      "            \"Remove BNT from pools Proposal\": 0.222\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "           Airswap Proposal  USDT liquidity Proposal  \\\nAlignment             0.259                    0.259   \n\n           Enable deposits Proposal  Remove BNT from pools Proposal  \nAlignment                     0.259                           0.222  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Airswap Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Enable deposits Proposal</th>\n      <th>Remove BNT from pools Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Alignment</th>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.222</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1011,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "alignment = ahpy.Compare('Alignment', alignment_comparisons, precision=3)\n",
+    "report = alignment.report(show=True)\n",
+    "alignment_df = pd.DataFrame(alignment.target_weights, index=['Alignment'])\n",
+    "comparisons.append(alignment_df)\n",
+    "alignment_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1012,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Legal Risk\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Remove BNT from pools Proposal\": 0.346,\n",
+      "        \"Enable deposits Proposal\": 0.308,\n",
+      "        \"USDT liquidity Proposal\": 0.192,\n",
+      "        \"Airswap Proposal\": 0.154\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.346,\n",
+      "            \"Enable deposits Proposal\": 0.308,\n",
+      "            \"USDT liquidity Proposal\": 0.192,\n",
+      "            \"Airswap Proposal\": 0.154\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Remove BNT from pools Proposal\": 0.346,\n",
+      "            \"Enable deposits Proposal\": 0.308,\n",
+      "            \"USDT liquidity Proposal\": 0.192,\n",
+      "            \"Airswap Proposal\": 0.154\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0,\n",
+      "        \"random_index\": \"Donegan & Dodd\",\n",
+      "        \"count\": 4,\n",
+      "        \"names\": [\n",
+      "            \"Airswap Proposal\",\n",
+      "            \"USDT liquidity Proposal\",\n",
+      "            \"Remove BNT from pools Proposal\",\n",
+      "            \"Enable deposits Proposal\"\n",
+      "        ]\n",
+      "    },\n",
+      "    \"children\": null,\n",
+      "    \"comparisons\": {\n",
+      "        \"count\": 6,\n",
+      "        \"input\": {\n",
+      "            \"Airswap Proposal, USDT liquidity Proposal\": 0.8,\n",
+      "            \"Airswap Proposal, Remove BNT from pools Proposal\": 0.4444444444444444,\n",
+      "            \"Airswap Proposal, Enable deposits Proposal\": 0.5,\n",
+      "            \"USDT liquidity Proposal, Remove BNT from pools Proposal\": 0.5555555555555556,\n",
+      "            \"USDT liquidity Proposal, Enable deposits Proposal\": 0.625,\n",
+      "            \"Remove BNT from pools Proposal, Enable deposits Proposal\": 1.125\n",
+      "        },\n",
+      "        \"computed\": null\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "            Remove BNT from pools Proposal  Enable deposits Proposal  \\\nLegal Risk                           0.346                     0.308   \n\n            USDT liquidity Proposal  Airswap Proposal  \nLegal Risk                    0.192             0.154  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>Enable deposits Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Airswap Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Legal Risk</th>\n      <td>0.346</td>\n      <td>0.308</td>\n      <td>0.192</td>\n      <td>0.154</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1012,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "legal_risk = ahpy.Compare('Legal Risk', legal_risk_comparisons, precision=3)\n",
+    "report = legal_risk.report(show=True, verbose=True)\n",
+    "legal_risk_df = pd.DataFrame(legal_risk.target_weights, index=['Legal Risk'])\n",
+    "# comparisons.append(legal_risk_df)\n",
+    "legal_risk_df\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1013,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Reputational Risk\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Airswap Proposal\": 0.533,\n",
+      "        \"Enable deposits Proposal\": 0.267,\n",
+      "        \"Remove BNT from pools Proposal\": 0.133,\n",
+      "        \"USDT liquidity Proposal\": 0.067\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Airswap Proposal\": 0.533,\n",
+      "            \"Enable deposits Proposal\": 0.267,\n",
+      "            \"Remove BNT from pools Proposal\": 0.133,\n",
+      "            \"USDT liquidity Proposal\": 0.067\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Airswap Proposal\": 0.533,\n",
+      "            \"Enable deposits Proposal\": 0.267,\n",
+      "            \"Remove BNT from pools Proposal\": 0.133,\n",
+      "            \"USDT liquidity Proposal\": 0.067\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0,\n",
+      "        \"random_index\": \"Donegan & Dodd\",\n",
+      "        \"count\": 4,\n",
+      "        \"names\": [\n",
+      "            \"Airswap Proposal\",\n",
+      "            \"USDT liquidity Proposal\",\n",
+      "            \"Remove BNT from pools Proposal\",\n",
+      "            \"Enable deposits Proposal\"\n",
+      "        ]\n",
+      "    },\n",
+      "    \"children\": null,\n",
+      "    \"comparisons\": {\n",
+      "        \"count\": 6,\n",
+      "        \"input\": {\n",
+      "            \"Airswap Proposal, USDT liquidity Proposal\": 8.0,\n",
+      "            \"Airswap Proposal, Remove BNT from pools Proposal\": 4.0,\n",
+      "            \"Airswap Proposal, Enable deposits Proposal\": 2.0,\n",
+      "            \"USDT liquidity Proposal, Remove BNT from pools Proposal\": 0.5,\n",
+      "            \"USDT liquidity Proposal, Enable deposits Proposal\": 0.25,\n",
+      "            \"Remove BNT from pools Proposal, Enable deposits Proposal\": 0.5\n",
+      "        },\n",
+      "        \"computed\": null\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "                   Airswap Proposal  Enable deposits Proposal  \\\nReputational Risk             0.533                     0.267   \n\n                   Remove BNT from pools Proposal  USDT liquidity Proposal  \nReputational Risk                           0.133                    0.067  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Airswap Proposal</th>\n      <th>Enable deposits Proposal</th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>USDT liquidity Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Reputational Risk</th>\n      <td>0.533</td>\n      <td>0.267</td>\n      <td>0.133</td>\n      <td>0.067</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1013,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reputational_risk = ahpy.Compare('Reputational Risk', reputational_risk_comparisons, precision=3)\n",
+    "report = reputational_risk.report(show=True, verbose=True)\n",
+    "reputational_risk_df = pd.DataFrame(reputational_risk.target_weights, index=['Reputational Risk'])\n",
+    "# comparisons.append(reputational_risk_df)\n",
+    "reputational_risk_df\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1014,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"LP Alienation Risk\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"USDT liquidity Proposal\": 0.562,\n",
+      "        \"Airswap Proposal\": 0.188,\n",
+      "        \"Enable deposits Proposal\": 0.188,\n",
+      "        \"Remove BNT from pools Proposal\": 0.062\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"USDT liquidity Proposal\": 0.562,\n",
+      "            \"Airswap Proposal\": 0.188,\n",
+      "            \"Enable deposits Proposal\": 0.188,\n",
+      "            \"Remove BNT from pools Proposal\": 0.062\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"USDT liquidity Proposal\": 0.562,\n",
+      "            \"Airswap Proposal\": 0.188,\n",
+      "            \"Enable deposits Proposal\": 0.188,\n",
+      "            \"Remove BNT from pools Proposal\": 0.062\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0,\n",
+      "        \"random_index\": \"Donegan & Dodd\",\n",
+      "        \"count\": 4,\n",
+      "        \"names\": [\n",
+      "            \"Airswap Proposal\",\n",
+      "            \"USDT liquidity Proposal\",\n",
+      "            \"Remove BNT from pools Proposal\",\n",
+      "            \"Enable deposits Proposal\"\n",
+      "        ]\n",
+      "    },\n",
+      "    \"children\": null,\n",
+      "    \"comparisons\": {\n",
+      "        \"count\": 6,\n",
+      "        \"input\": {\n",
+      "            \"Airswap Proposal, USDT liquidity Proposal\": 0.3333333333333333,\n",
+      "            \"Airswap Proposal, Remove BNT from pools Proposal\": 3.0,\n",
+      "            \"Airswap Proposal, Enable deposits Proposal\": 1.0,\n",
+      "            \"USDT liquidity Proposal, Remove BNT from pools Proposal\": 9.0,\n",
+      "            \"USDT liquidity Proposal, Enable deposits Proposal\": 3.0,\n",
+      "            \"Remove BNT from pools Proposal, Enable deposits Proposal\": 0.3333333333333333\n",
+      "        },\n",
+      "        \"computed\": null\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "                    USDT liquidity Proposal  Airswap Proposal  \\\nLP Alienation Risk                    0.562             0.188   \n\n                    Enable deposits Proposal  Remove BNT from pools Proposal  \nLP Alienation Risk                     0.188                           0.062  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>USDT liquidity Proposal</th>\n      <th>Airswap Proposal</th>\n      <th>Enable deposits Proposal</th>\n      <th>Remove BNT from pools Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>LP Alienation Risk</th>\n      <td>0.562</td>\n      <td>0.188</td>\n      <td>0.188</td>\n      <td>0.062</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1014,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "lp_alienation_risk = ahpy.Compare('LP Alienation Risk', lp_alienation_risk_comparisons, precision=3)\n",
+    "report = lp_alienation_risk.report(show=True, verbose=True)\n",
+    "lp_alienation_risk_df = pd.DataFrame(lp_alienation_risk.target_weights, index=['LP Alienation Risk'])\n",
+    "# comparisons.append(lp_alienation_risk_df)\n",
+    "lp_alienation_risk_df\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1015,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Security Risk\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {\n",
+      "        \"Airswap Proposal\": 0.429,\n",
+      "        \"Enable deposits Proposal\": 0.286,\n",
+      "        \"USDT liquidity Proposal\": 0.143,\n",
+      "        \"Remove BNT from pools Proposal\": 0.143\n",
+      "    },\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Airswap Proposal\": 0.429,\n",
+      "            \"Enable deposits Proposal\": 0.286,\n",
+      "            \"USDT liquidity Proposal\": 0.143,\n",
+      "            \"Remove BNT from pools Proposal\": 0.143\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Airswap Proposal\": 0.429,\n",
+      "            \"Enable deposits Proposal\": 0.286,\n",
+      "            \"USDT liquidity Proposal\": 0.143,\n",
+      "            \"Remove BNT from pools Proposal\": 0.143\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0,\n",
+      "        \"random_index\": \"Donegan & Dodd\",\n",
+      "        \"count\": 4,\n",
+      "        \"names\": [\n",
+      "            \"Airswap Proposal\",\n",
+      "            \"USDT liquidity Proposal\",\n",
+      "            \"Remove BNT from pools Proposal\",\n",
+      "            \"Enable deposits Proposal\"\n",
+      "        ]\n",
+      "    },\n",
+      "    \"children\": null,\n",
+      "    \"comparisons\": {\n",
+      "        \"count\": 6,\n",
+      "        \"input\": {\n",
+      "            \"Airswap Proposal, USDT liquidity Proposal\": 3.0,\n",
+      "            \"Airswap Proposal, Remove BNT from pools Proposal\": 3.0,\n",
+      "            \"Airswap Proposal, Enable deposits Proposal\": 1.5,\n",
+      "            \"USDT liquidity Proposal, Remove BNT from pools Proposal\": 1.0,\n",
+      "            \"USDT liquidity Proposal, Enable deposits Proposal\": 0.5,\n",
+      "            \"Remove BNT from pools Proposal, Enable deposits Proposal\": 0.5\n",
+      "        },\n",
+      "        \"computed\": null\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "               Airswap Proposal  Enable deposits Proposal  \\\nSecurity Risk             0.429                     0.286   \n\n               USDT liquidity Proposal  Remove BNT from pools Proposal  \nSecurity Risk                    0.143                           0.143  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Airswap Proposal</th>\n      <th>Enable deposits Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Remove BNT from pools Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Security Risk</th>\n      <td>0.429</td>\n      <td>0.286</td>\n      <td>0.143</td>\n      <td>0.143</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1015,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "security_risk = ahpy.Compare('Security Risk', security_risk_comparisons, precision=3)\n",
+    "report = security_risk.report(show=True, verbose=True)\n",
+    "security_risk_df = pd.DataFrame(security_risk.target_weights, index=['Security Risk'])\n",
+    "# comparisons.append(security_risk_df)\n",
+    "security_risk_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1016,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"name\": \"Risk\",\n",
+      "    \"global_weight\": 1.0,\n",
+      "    \"local_weight\": 1.0,\n",
+      "    \"target_weights\": {},\n",
+      "    \"elements\": {\n",
+      "        \"global_weights\": {\n",
+      "            \"Enable deposits Proposal\": 0.333,\n",
+      "            \"USDT liquidity Proposal\": 0.259,\n",
+      "            \"Remove BNT from pools Proposal\": 0.222,\n",
+      "            \"Airswap Proposal\": 0.185\n",
+      "        },\n",
+      "        \"local_weights\": {\n",
+      "            \"Enable deposits Proposal\": 0.333,\n",
+      "            \"USDT liquidity Proposal\": 0.259,\n",
+      "            \"Remove BNT from pools Proposal\": 0.222,\n",
+      "            \"Airswap Proposal\": 0.185\n",
+      "        },\n",
+      "        \"consistency_ratio\": 0.0,\n",
+      "        \"random_index\": \"Donegan & Dodd\",\n",
+      "        \"count\": 4,\n",
+      "        \"names\": [\n",
+      "            \"Airswap Proposal\",\n",
+      "            \"USDT liquidity Proposal\",\n",
+      "            \"Remove BNT from pools Proposal\",\n",
+      "            \"Enable deposits Proposal\"\n",
+      "        ]\n",
+      "    },\n",
+      "    \"children\": {\n",
+      "        \"count\": 4,\n",
+      "        \"names\": [\n",
+      "            \"Legal Risk\",\n",
+      "            \"Reputational Risk\",\n",
+      "            \"LP Alienation Risk\",\n",
+      "            \"Security Risk\"\n",
+      "        ]\n",
+      "    },\n",
+      "    \"comparisons\": {\n",
+      "        \"count\": 6,\n",
+      "        \"input\": {\n",
+      "            \"Airswap Proposal, USDT liquidity Proposal\": 0.7142857142857143,\n",
+      "            \"Airswap Proposal, Remove BNT from pools Proposal\": 0.8333333333333334,\n",
+      "            \"Airswap Proposal, Enable deposits Proposal\": 0.5555555555555556,\n",
+      "            \"USDT liquidity Proposal, Remove BNT from pools Proposal\": 1.1666666666666667,\n",
+      "            \"USDT liquidity Proposal, Enable deposits Proposal\": 0.7777777777777778,\n",
+      "            \"Remove BNT from pools Proposal, Enable deposits Proposal\": 0.6666666666666666\n",
+      "        },\n",
+      "        \"computed\": null\n",
+      "    }\n",
+      "}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "      Enable deposits Proposal  USDT liquidity Proposal  \\\nRisk                     0.333                    0.259   \n\n      Remove BNT from pools Proposal  Airswap Proposal  \nRisk                           0.222             0.185  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Enable deposits Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>Airswap Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Risk</th>\n      <td>0.333</td>\n      <td>0.259</td>\n      <td>0.222</td>\n      <td>0.185</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1016,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "risk = ahpy.Compare('Risk', risk_comparisons, precision=3)\n",
+    "risk.add_children([legal_risk, reputational_risk, lp_alienation_risk, security_risk])\n",
+    "report = risk.report(show=True, verbose=True)\n",
+    "risk_df = pd.DataFrame(report['elements']['global_weights'], index=['Risk'])\n",
+    "comparisons.append(risk_df)\n",
+    "risk_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1017,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "           Remove BNT from pools Proposal  Airswap Proposal  \\\nFees                                0.346             0.269   \nResources                           0.450             0.400   \nDeficit                             0.318             0.273   \nAlignment                           0.222             0.259   \nRisk                                0.222             0.185   \n\n           USDT liquidity Proposal  Enable deposits Proposal  \nFees                         0.192                     0.192  \nResources                    0.050                     0.100  \nDeficit                      0.227                     0.182  \nAlignment                    0.259                     0.259  \nRisk                         0.259                     0.333  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Remove BNT from pools Proposal</th>\n      <th>Airswap Proposal</th>\n      <th>USDT liquidity Proposal</th>\n      <th>Enable deposits Proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Fees</th>\n      <td>0.346</td>\n      <td>0.269</td>\n      <td>0.192</td>\n      <td>0.192</td>\n    </tr>\n    <tr>\n      <th>Resources</th>\n      <td>0.450</td>\n      <td>0.400</td>\n      <td>0.050</td>\n      <td>0.100</td>\n    </tr>\n    <tr>\n      <th>Deficit</th>\n      <td>0.318</td>\n      <td>0.273</td>\n      <td>0.227</td>\n      <td>0.182</td>\n    </tr>\n    <tr>\n      <th>Alignment</th>\n      <td>0.222</td>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.259</td>\n    </tr>\n    <tr>\n      <th>Risk</th>\n      <td>0.222</td>\n      <td>0.185</td>\n      <td>0.259</td>\n      <td>0.333</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1017,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "comparisons_df = pd.concat(comparisons)\n",
+    "comparisons_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1018,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                 Fees  Resources  Deficit  Alignment   Risk\nRemove BNT from pools Proposal  0.346       0.45    0.318      0.222  0.222\nAirswap Proposal                0.269       0.40    0.273      0.259  0.185\nUSDT liquidity Proposal         0.192       0.05    0.227      0.259  0.259\nEnable deposits Proposal        0.192       0.10    0.182      0.259  0.333",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Fees</th>\n      <th>Resources</th>\n      <th>Deficit</th>\n      <th>Alignment</th>\n      <th>Risk</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Remove BNT from pools Proposal</th>\n      <td>0.346</td>\n      <td>0.45</td>\n      <td>0.318</td>\n      <td>0.222</td>\n      <td>0.222</td>\n    </tr>\n    <tr>\n      <th>Airswap Proposal</th>\n      <td>0.269</td>\n      <td>0.40</td>\n      <td>0.273</td>\n      <td>0.259</td>\n      <td>0.185</td>\n    </tr>\n    <tr>\n      <th>USDT liquidity Proposal</th>\n      <td>0.192</td>\n      <td>0.05</td>\n      <td>0.227</td>\n      <td>0.259</td>\n      <td>0.259</td>\n    </tr>\n    <tr>\n      <th>Enable deposits Proposal</th>\n      <td>0.192</td>\n      <td>0.10</td>\n      <td>0.182</td>\n      <td>0.259</td>\n      <td>0.333</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1018,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "comparisons_df.T"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1019,
+   "outputs": [],
+   "source": [
+    "totals = [\n",
+    "    comparisons_df.T.iloc[0].sum(),\n",
+    "    comparisons_df.T.iloc[1].sum(),\n",
+    "    comparisons_df.T.iloc[2].sum(),\n",
+    "    comparisons_df.T.iloc[3].sum(),\n",
+    "]\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1020,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                                 Fees  Resources  Deficit  Alignment   Risk  \\\nRemove BNT from pools Proposal  0.346       0.45    0.318      0.222  0.222   \nAirswap Proposal                0.269       0.40    0.273      0.259  0.185   \nUSDT liquidity Proposal         0.192       0.05    0.227      0.259  0.259   \nEnable deposits Proposal        0.192       0.10    0.182      0.259  0.333   \n\n                                Total  \nRemove BNT from pools Proposal  1.558  \nAirswap Proposal                1.386  \nUSDT liquidity Proposal         0.987  \nEnable deposits Proposal        1.066  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Fees</th>\n      <th>Resources</th>\n      <th>Deficit</th>\n      <th>Alignment</th>\n      <th>Risk</th>\n      <th>Total</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Remove BNT from pools Proposal</th>\n      <td>0.346</td>\n      <td>0.45</td>\n      <td>0.318</td>\n      <td>0.222</td>\n      <td>0.222</td>\n      <td>1.558</td>\n    </tr>\n    <tr>\n      <th>Airswap Proposal</th>\n      <td>0.269</td>\n      <td>0.40</td>\n      <td>0.273</td>\n      <td>0.259</td>\n      <td>0.185</td>\n      <td>1.386</td>\n    </tr>\n    <tr>\n      <th>USDT liquidity Proposal</th>\n      <td>0.192</td>\n      <td>0.05</td>\n      <td>0.227</td>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.987</td>\n    </tr>\n    <tr>\n      <th>Enable deposits Proposal</th>\n      <td>0.192</td>\n      <td>0.10</td>\n      <td>0.182</td>\n      <td>0.259</td>\n      <td>0.333</td>\n      <td>1.066</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 1020,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "comparisons_df=comparisons_df.T\n",
+    "comparisons_df['Total']=totals\n",
+    "comparisons_df"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1022,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['Remove BNT from pools Proposal', 'Airswap Proposal',\n       'USDT liquidity Proposal', 'Enable deposits Proposal'],\n      dtype='object')"
+     },
+     "execution_count": 1022,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "comparisons_df.index"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1025,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(0.9989999999999999, 1.0000000000000002, 1.0)"
+     },
+     "execution_count": 1025,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "comparisons_df['Fees'].sum(),comparisons_df['Resources'].sum(),comparisons_df['Deficit'].sum()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1026,
+   "outputs": [],
+   "source": [
+    "comparisons_df.to_csv('ahp_example.csv', index=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/bancor_research/bancor_ahp/ahp_example.csv b/bancor_research/bancor_ahp/ahp_example.csv
new file mode 100644
index 00000000..1f4c2909
--- /dev/null
+++ b/bancor_research/bancor_ahp/ahp_example.csv
@@ -0,0 +1,5 @@
+Fees,Resources,Deficit,Alignment,Risk,Total
+0.346,0.45,0.318,0.222,0.222,1.558
+0.269,0.4,0.273,0.259,0.185,1.3860000000000001
+0.192,0.05,0.227,0.259,0.259,0.987
+0.192,0.1,0.182,0.259,0.333,1.066

From e9ddc154506df8aa3a6dd9856ee242cdb10e45b0 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Wed, 27 Jul 2022 05:04:35 -0700
Subject: [PATCH 02/16] update dataframe & image

---
 .../Analytical Hierarchy Process.png          | Bin 230153 -> 304317 bytes
 bancor_research/bancor_ahp/ahp-example.ipynb  |  12 ++++++------
 bancor_research/bancor_ahp/ahp_example.csv    |  10 +++++-----
 3 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/bancor_research/bancor_ahp/Analytical Hierarchy Process.png b/bancor_research/bancor_ahp/Analytical Hierarchy Process.png
index 9747852b8bd835b692e53821a53c721b637ce983..32adcc9df1834fc9ae246696f4195ac6b6dbd5cc 100644
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diff --git a/bancor_research/bancor_ahp/ahp-example.ipynb b/bancor_research/bancor_ahp/ahp-example.ipynb
index ecf5d75c..5a0746b7 100644
--- a/bancor_research/bancor_ahp/ahp-example.ipynb
+++ b/bancor_research/bancor_ahp/ahp-example.ipynb
@@ -51,14 +51,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1027,
+   "execution_count": 1029,
    "outputs": [
     {
      "data": {
-      "text/plain": "    Fees  Resources  Deficit  Alignment   Risk  Total\n0  0.346       0.45    0.318      0.222  0.222  1.558\n1  0.269       0.40    0.273      0.259  0.185  1.386\n2  0.192       0.05    0.227      0.259  0.259  0.987\n3  0.192       0.10    0.182      0.259  0.333  1.066",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Fees</th>\n      <th>Resources</th>\n      <th>Deficit</th>\n      <th>Alignment</th>\n      <th>Risk</th>\n      <th>Total</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.346</td>\n      <td>0.45</td>\n      <td>0.318</td>\n      <td>0.222</td>\n      <td>0.222</td>\n      <td>1.558</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.269</td>\n      <td>0.40</td>\n      <td>0.273</td>\n      <td>0.259</td>\n      <td>0.185</td>\n      <td>1.386</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.192</td>\n      <td>0.05</td>\n      <td>0.227</td>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.987</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.192</td>\n      <td>0.10</td>\n      <td>0.182</td>\n      <td>0.259</td>\n      <td>0.333</td>\n      <td>1.066</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "                       Unnamed: 0   Fees  Resources  Deficit  Alignment  \\\n0  Remove BNT from pools Proposal  0.346       0.45    0.318      0.222   \n1                Airswap Proposal  0.269       0.40    0.273      0.259   \n2         USDT liquidity Proposal  0.192       0.05    0.227      0.259   \n3        Enable deposits Proposal  0.192       0.10    0.182      0.259   \n\n    Risk  Total  \n0  0.222  1.558  \n1  0.185  1.386  \n2  0.259  0.987  \n3  0.333  1.066  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Fees</th>\n      <th>Resources</th>\n      <th>Deficit</th>\n      <th>Alignment</th>\n      <th>Risk</th>\n      <th>Total</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Remove BNT from pools Proposal</td>\n      <td>0.346</td>\n      <td>0.45</td>\n      <td>0.318</td>\n      <td>0.222</td>\n      <td>0.222</td>\n      <td>1.558</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Airswap Proposal</td>\n      <td>0.269</td>\n      <td>0.40</td>\n      <td>0.273</td>\n      <td>0.259</td>\n      <td>0.185</td>\n      <td>1.386</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>USDT liquidity Proposal</td>\n      <td>0.192</td>\n      <td>0.05</td>\n      <td>0.227</td>\n      <td>0.259</td>\n      <td>0.259</td>\n      <td>0.987</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Enable deposits Proposal</td>\n      <td>0.192</td>\n      <td>0.10</td>\n      <td>0.182</td>\n      <td>0.259</td>\n      <td>0.333</td>\n      <td>1.066</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 1027,
+     "execution_count": 1029,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1202,10 +1202,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1026,
+   "execution_count": 1028,
    "outputs": [],
    "source": [
-    "comparisons_df.to_csv('ahp_example.csv', index=False)"
+    "comparisons_df.to_csv('ahp_example.csv')"
    ],
    "metadata": {
     "collapsed": false,
diff --git a/bancor_research/bancor_ahp/ahp_example.csv b/bancor_research/bancor_ahp/ahp_example.csv
index 1f4c2909..c0b37d38 100644
--- a/bancor_research/bancor_ahp/ahp_example.csv
+++ b/bancor_research/bancor_ahp/ahp_example.csv
@@ -1,5 +1,5 @@
-Fees,Resources,Deficit,Alignment,Risk,Total
-0.346,0.45,0.318,0.222,0.222,1.558
-0.269,0.4,0.273,0.259,0.185,1.3860000000000001
-0.192,0.05,0.227,0.259,0.259,0.987
-0.192,0.1,0.182,0.259,0.333,1.066
+,Fees,Resources,Deficit,Alignment,Risk,Total
+Remove BNT from pools Proposal,0.346,0.45,0.318,0.222,0.222,1.558
+Airswap Proposal,0.269,0.4,0.273,0.259,0.185,1.3860000000000001
+USDT liquidity Proposal,0.192,0.05,0.227,0.259,0.259,0.987
+Enable deposits Proposal,0.192,0.1,0.182,0.259,0.333,1.066

From d657029c31aabda42317f6d1e65ad583e19fced9 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 1 Aug 2022 04:25:16 -0700
Subject: [PATCH 03/16] Added Governance Proposal Study

- Limit on-curve liquidity
---
 ...limit_tradingliquidity_proposal_study.html | 43 +++++++++++++++++++
 ...imit_tradingliquidity_proposal_study.ipynb |  1 +
 2 files changed, 44 insertions(+)
 create mode 100644 examples/studies/limit_tradingliquidity_proposal_study.html
 create mode 100644 examples/studies/limit_tradingliquidity_proposal_study.ipynb

diff --git a/examples/studies/limit_tradingliquidity_proposal_study.html b/examples/studies/limit_tradingliquidity_proposal_study.html
new file mode 100644
index 00000000..cdb617a5
--- /dev/null
+++ b/examples/studies/limit_tradingliquidity_proposal_study.html
@@ -0,0 +1,43 @@
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diff --git a/examples/studies/limit_tradingliquidity_proposal_study.ipynb b/examples/studies/limit_tradingliquidity_proposal_study.ipynb
new file mode 100644
index 00000000..c622c7a4
--- /dev/null
+++ b/examples/studies/limit_tradingliquidity_proposal_study.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","source":["Welcome to the Bancor Governance Forum. In this forum, the BancorDAO (Decentralized Autonomous Organization) proposes and discusses token Whitelistings, Trading liquidity limits, Fee changes, Bancor Improvement Proposals, and others.\n\nPlease head on to the [Information and Templates](https://gov.bancor.network/c/information-and-templates/16) category for more information on the DAO process.\n\nVoting happens on the [BancorDAO Snapshot Page](https://vote.bancor.network/)."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"681b934a-2625-4070-9b66-ba81e5913b98"}}},{"cell_type":"markdown","source":["[Proposal: Limit on-curve liquidity to max(520 x 7 day fees, 100k BNT)](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876)\n=============================================================================================================================================================================\n\n[LEVEL 1 Under Review](https://gov.bancor.network/c/level-1-under-review/14)\n\n\n[![](https://dub2.discourse-cdn.com/standard20/user_avatar/gov.bancor.network/thedavidmeister/90/129_2.png)](https://gov.bancor.network/u/thedavidmeister)\n\n[thedavidmeister](https://gov.bancor.network/u/thedavidmeister)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4efeefaa-431b-4ede-b2d6-9f53729739b3"}}},{"cell_type":"markdown","source":["TLDR:\n\n-   We pay IL on 100% of TKN available for trading\n-   We get diminishing returns on new fees per unit of trading liquidity\n-   If IL > fees then the protocol dies (and is already in crisis due to existing deficits)\n-   B3 has the unique ability to set a cap on trading liquidity\n-   Taking capital off-curve has a dual benefit of limiting IL exposure AND making it available to other revenue opportunities (native staking etc.)\n-   Currently the protocol deficit increases when ETH price increases by ~1.5x annually relative to BNT, making some assumptions, we could lift this to the protocol being profitable up to a ~4x ETH annual moon relative to BNT by limiting the on-curve trading liquidity to 520x 7 day trading fees + implementing some modest staking model (or similar)\n-   We should set a simple cap based on the data we have and commission a more sophisticated model in the near future\n\nProposal:\n\nWhen we look at the IL curve:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/optimized/2X/e/e0d10c4f716b77cc23de68cb160db8c6e9dc28e1_2_690x387.png)\n\n\nWe see that the losses due to IL are a % of all the capital deployed on the trading curve.\n\nIf TKN moons 2x relative to BNT then the IL is ~10%, a 4x moon has ~20% IL, etc.\n\nMeanwhile there are only so many fees due to trade volume across all of defi and almost all trades through bancor currently are based on arbitrage and aggregators only. That is to say, there is negligible trading being done directly on bancor due to retail etc. as that market is largely monopolized by aggregators and a few platforms that take the lion's share of human traders such as uniswap.\n\nIn considering this proposal, please consider mainly how arb bots and aggregators will respond, not human traders, as the former is 10x+ the latter in terms of protocol fee generation."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c7149321-2b9a-4cd0-878e-58e5b2367f38"}}},{"cell_type":"markdown","source":["Import Data"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c318fe9f-fd11-412f-a9b5-67d55e934f7d"}}},{"cell_type":"code","source":["import pandas as pd\n\nfilepath = 'https://bancorml.s3.us-east-2.amazonaws.com/preprocessed_tradingliquidity_vs_deficit.csv'\ndf = pd.read_csv(filepath)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"30b026a9-3151-42ac-be60-50b5be44630f"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Calculate Rolling Average Fee Revenue"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"8beb4fef-7b8f-4fa8-8b4c-75147450ce02"}}},{"cell_type":"code","source":["# For 7 day rolling averages\ndf['trade_revenue_real_rolling_7day_avg'] =  df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(7, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_7day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(7, min_periods=1).mean().reset_index(drop=True)\n\n# For 30 day rolling averages\ndf['trade_revenue_real_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5fb7205f-c2f8-4a49-b724-6129a472b5e4"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[41]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[41]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>3</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>2.284838</td>\n      <td>-2.999949e+00</td>\n      <td>-2.999949e+00</td>\n      <td>-6.854397e+00</td>\n      <td>-0.000014</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>2.231059</td>\n      <td>-4.806735e+00</td>\n      <td>-4.806735e+00</td>\n      <td>-1.072411e+01</td>\n      <td>-0.000011</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.227919</td>\n      <td>-6.742615e+00</td>\n      <td>-6.742615e+00</td>\n      <td>-1.502200e+01</td>\n      <td>-0.000016</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1760</th>\n      <td>2022-07-30</td>\n      <td>usdt</td>\n      <td>3</td>\n      <td>8048.896705</td>\n      <td>8006.239119</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>0.564534</td>\n      <td>-1.262901e+06</td>\n      <td>-2.190509e+06</td>\n      <td>-1.236617e+06</td>\n      <td>-0.407160</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n    </tr>\n    <tr>\n      <th>1761</th>\n      <td>2022-07-30</td>\n      <td>vbnt</td>\n      <td>12</td>\n      <td>49419.825171</td>\n      <td>23492.709503</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>0.564534</td>\n      <td>-1.939145e+05</td>\n      <td>-1.594473e+05</td>\n      <td>-9.001343e+04</td>\n      <td>-0.056916</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n    </tr>\n    <tr>\n      <th>1762</th>\n      <td>2022-07-30</td>\n      <td>wbtc</td>\n      <td>24</td>\n      <td>3.114918</td>\n      <td>74919.134757</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.564534</td>\n      <td>-1.726202e+02</td>\n      <td>-7.197113e+06</td>\n      <td>-4.063016e+06</td>\n      <td>-0.478564</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n    </tr>\n    <tr>\n      <th>1763</th>\n      <td>2022-07-30</td>\n      <td>woo</td>\n      <td>47</td>\n      <td>633485.015403</td>\n      <td>143133.895043</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>0.564534</td>\n      <td>-2.137629e+06</td>\n      <td>-8.456805e+05</td>\n      <td>-4.774155e+05</td>\n      <td>-0.267604</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n    </tr>\n    <tr>\n      <th>1764</th>\n      <td>2022-07-30</td>\n      <td>yfi</td>\n      <td>17</td>\n      <td>0.782309</td>\n      <td>9615.933365</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.564534</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n    </tr>\n  </tbody>\n</table>\n<p>1765 rows × 16 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>3</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>2.284838</td>\n      <td>-2.999949e+00</td>\n      <td>-2.999949e+00</td>\n      <td>-6.854397e+00</td>\n      <td>-0.000014</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>2.231059</td>\n      <td>-4.806735e+00</td>\n      <td>-4.806735e+00</td>\n      <td>-1.072411e+01</td>\n      <td>-0.000011</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.227919</td>\n      <td>-6.742615e+00</td>\n      <td>-6.742615e+00</td>\n      <td>-1.502200e+01</td>\n      <td>-0.000016</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1760</th>\n      <td>2022-07-30</td>\n      <td>usdt</td>\n      <td>3</td>\n      <td>8048.896705</td>\n      <td>8006.239119</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>0.564534</td>\n      <td>-1.262901e+06</td>\n      <td>-2.190509e+06</td>\n      <td>-1.236617e+06</td>\n      <td>-0.407160</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n    </tr>\n    <tr>\n      <th>1761</th>\n      <td>2022-07-30</td>\n      <td>vbnt</td>\n      <td>12</td>\n      <td>49419.825171</td>\n      <td>23492.709503</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>0.564534</td>\n      <td>-1.939145e+05</td>\n      <td>-1.594473e+05</td>\n      <td>-9.001343e+04</td>\n      <td>-0.056916</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n    </tr>\n    <tr>\n      <th>1762</th>\n      <td>2022-07-30</td>\n      <td>wbtc</td>\n      <td>24</td>\n      <td>3.114918</td>\n      <td>74919.134757</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.564534</td>\n      <td>-1.726202e+02</td>\n      <td>-7.197113e+06</td>\n      <td>-4.063016e+06</td>\n      <td>-0.478564</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n    </tr>\n    <tr>\n      <th>1763</th>\n      <td>2022-07-30</td>\n      <td>woo</td>\n      <td>47</td>\n      <td>633485.015403</td>\n      <td>143133.895043</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>0.564534</td>\n      <td>-2.137629e+06</td>\n      <td>-8.456805e+05</td>\n      <td>-4.774155e+05</td>\n      <td>-0.267604</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n    </tr>\n    <tr>\n      <th>1764</th>\n      <td>2022-07-30</td>\n      <td>yfi</td>\n      <td>17</td>\n      <td>0.782309</td>\n      <td>9615.933365</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.564534</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n    </tr>\n  </tbody>\n</table>\n<p>1765 rows × 16 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#current-situation-1)Current situation\n-----------------------------------------------------------------------------------------------------------------------------------------------\n\nLet's look at how that translates to the current state of play for ETH.\n\nThere is 8807 ETH on the trading curve right now:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/7/7fc569f4bf2f391578b84463ea82683fd815b20d.png)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"bebfedd4-6b11-4eef-94a1-3d6b8c65730d"}}},{"cell_type":"markdown","source":["Based on the above, set `oncurve_eth` and `token_symbol` constants:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d35d3dd9-3023-4049-b57e-cf27e0fbbcb5"}}},{"cell_type":"code","source":["oncurve_eth = 8800\ntoken_symbol = 'eth'"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7de6b8cb-94fd-4a7e-9586-15156233f240"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Get the latest date in the dataset:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea01a7ac-32a5-4422-afc1-93ab9c723cc1"}}},{"cell_type":"code","source":["latest_date = df.sort_values('date', ascending=False)['date'].values[0]\nlatest_date"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e8aba016-3643-403c-a470-81b2324264e3"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[76]: &#39;2022-07-30&#39;</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[76]: &#39;2022-07-30&#39;</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["30 day rolling average ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aa51a4c9-ad48-49a0-aaba-2c626a33d6bf"}}},{"cell_type":"code","source":["eth_rolling_30day_real_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_real_rolling_30day_avg'].values[0]\n\neth_rolling_30day_usd_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_usd_rolling_30day_avg'].values[0]\n\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_real_avg} (real/day) \\033[1m')\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_usd_avg} (usd/day) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"52eb8924-e303-4cc7-a5c2-d8655b246d92"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.3133156103817142 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 533.9804979857236 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.3133156103817142 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 533.9804979857236 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Estimated 7 day ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7f621e21-6cea-42b0-b991-fa8ecc906c3a"}}},{"cell_type":"code","source":["estimated_7day_eth_fees_real = eth_rolling_30day_real_avg * 7\nestimated_7day_eth_fees_usd = eth_rolling_30day_usd_avg * 7\n\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_real} (real) \\033[1m')\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_usd} (usd) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2a835fe0-7fea-402a-b811-f55b1a87c911"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 2.193209272671999 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3737.863485900065 (usd) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 2.193209272671999 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3737.863485900065 (usd) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Comparing the above to prior naive estimate (limited data):\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/3/3b2d3eb390e5564193283285bad0d7a4a333cf53.png)\n\nIf we annualize the estimated fees we get:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":true,"inputWidgets":{},"nuid":"386e63bd-882d-4834-9477-406569bf005c"}}},{"cell_type":"code","source":["eth_annualized = 52 * estimated_7day_eth_fees_real\neth_annualized_percent_of_oncurve = (eth_annualized / oncurve_eth) * 100\n\nprint(f'\\033[1m ETH Fees annualized: {eth_annualized} (real) \\033[1m')\nprint(f'\\033[1m ETH Fees annualized as a percent of ETH on curve: {eth_annualized_percent_of_oncurve} (%) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d87952a5-06e6-4320-bf8e-c32471167ee2"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 114.04688217894396 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.2959872974879996 (%) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 114.04688217894396 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.2959872974879996 (%) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Setting aside mechanics like leveraged vortexing for the moment, the baseline is that the protocol will break even on ETH if IL on 8800 ETH is 1.29% or less, relative to BNT."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea3f9edb-7889-4071-843e-9964859675f4"}}},{"cell_type":"markdown","source":["That means that if ETH increases by just 50% relative to BNT over a year, all else equal, the protocol loses ETH and the deficit increases."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ba4f4-545d-4e15-b70d-9f2e160e4de6"}}},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#proposed-2)Proposed\n-----------------------------------------------------------------------------------------------------------------------------\n\nLet's limit the ETH pool size to 520x the 7 day fees, i.e. an APR of 10% all else equal.\n\nThis gives us a limited trading liquidity of:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"937e79eb-d82c-4f93-b14f-ee7d3999d0c7"}}},{"cell_type":"code","source":["limited_pool_size_520 = int(round(520 * estimated_7day_eth_fees_real, 0))\nprint(f'\\033[1m {limited_pool_size_520} (ETH) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1f206032-7c22-4575-b5a2-503774458605"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 1140 (ETH) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 1140 (ETH) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["If we assume that the fees generated on the limited trading liquidity are not significantly less than the fees on the current on-curve liquidity then this gives us an APR of 10% on ETH."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cbc3f824-2a8e-40b6-bf78-1bf6b32ad50b"}}},{"cell_type":"markdown","source":["We spent all of bancor v2.1 with caps on trading pools showing that 10% APR is sustainable for many TKN, but the reality of how many fees we would miss on a 2400 ETH pool vs. an 8800 ETH pool is something that we would have to measure and monitor.\n\nContinuing with the assumption of comparable fees with the limited pool...\n\nThis now means that a 2x in ETH vs. BNT costs the protocol 240 ETH instead of 880 ETH. That is to say, over 1 year we can expect the protocol to break even on the 10% APR even if ETH moons 2x relative to BNT.\n\nWe also have 6400 ETH freed up to generate fees. Native staking on ETH yields about 3%.\n\n6400 ETH x 0.03 = 192 ETH ~= 200 ETH\n\nAssuming we do the most conservative thing other than doing nothing at all, use the native ETH staking mechanism, we now have a budget of 200 ETH from staking 6400 ETH and 240 ETH from a 10% APR on 2400 ETH to cover the IL on 2400 ETH.\n\nWith 440 ETH we can cover up to ~18% IL on 2400 ETH which allows ETH to annually moon ~4x relative to BNT\n\nClearly a 4x annual moon is a significantly larger safety margin than a 1.5x annual moon.\n\nAll we need to do is:\n\n-   Limit pool to 520x the 7 day fees to give a minimum 10% APR\n-   Move the off-curve liquidity into a conservative yield generating mechanism offering 3% e.g. native staking\n\nGenerally we could and should apply this 520x cap to all TKN on the platform as a rule of thumb and then backfill more sophisticated analytics over time.\n\nFor many TKN we might run into a situation where the 7 day fees are too small to support trading of any size, so we can set a minimum, which right now can be somewhat arbitrary like 100k BNT.\n\n[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#voting-3)Voting\n-------------------------------------------------------------------------------------------------------------------------\n\nYES: Cap all on-curve TKN trading liquidity to 520x their rolling 7 day fees\n\n-   Frequency and level of automation of the cap management TBD and improved over time\n-   Commit to alternative revenue generation for the off-curve capital\n-   Commit to monitoring and ongoing analysis that is more sophisticated than what is presented above\n\nNO: Continue to attempt to cover double digit annual % IL with single digit % annual TKN fees"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2f9033a8-e93b-4f49-8dad-ff4e62c0e100"}}}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"limit_tradingliquidity_proposal_study","dashboards":[],"notebookMetadata":{"pythonIndentUnit":4},"language":"python","widgets":{},"notebookOrigID":1744197420073319}},"nbformat":4,"nbformat_minor":0}

From 5ac725ae466cda263ec9f1907f6a193901452241 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 1 Aug 2022 06:04:37 -0700
Subject: [PATCH 04/16] Updated study

---
 ...limit_tradingliquidity_proposal_study.html | 43 -------------------
 ...imit_tradingliquidity_proposal_study.ipynb |  2 +-
 2 files changed, 1 insertion(+), 44 deletions(-)
 delete mode 100644 examples/studies/limit_tradingliquidity_proposal_study.html

diff --git a/examples/studies/limit_tradingliquidity_proposal_study.html b/examples/studies/limit_tradingliquidity_proposal_study.html
deleted file mode 100644
index cdb617a5..00000000
--- a/examples/studies/limit_tradingliquidity_proposal_study.html
+++ /dev/null
@@ -1,43 +0,0 @@
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-<link rel="icon" type="image/png" href="https://databricks-prod-cloudfront.cloud.databricks.com/static/fbf8cd327a5687aba9540cf8dac1e7c79f72d63957f7306dfa2c5c82fe6741e8/favicon.ico"/>
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diff --git a/examples/studies/limit_tradingliquidity_proposal_study.ipynb b/examples/studies/limit_tradingliquidity_proposal_study.ipynb
index c622c7a4..d1fc07b9 100644
--- a/examples/studies/limit_tradingliquidity_proposal_study.ipynb
+++ b/examples/studies/limit_tradingliquidity_proposal_study.ipynb
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","source":["Welcome to the Bancor Governance Forum. In this forum, the BancorDAO (Decentralized Autonomous Organization) proposes and discusses token Whitelistings, Trading liquidity limits, Fee changes, Bancor Improvement Proposals, and others.\n\nPlease head on to the [Information and Templates](https://gov.bancor.network/c/information-and-templates/16) category for more information on the DAO process.\n\nVoting happens on the [BancorDAO Snapshot Page](https://vote.bancor.network/)."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"681b934a-2625-4070-9b66-ba81e5913b98"}}},{"cell_type":"markdown","source":["[Proposal: Limit on-curve liquidity to max(520 x 7 day fees, 100k BNT)](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876)\n=============================================================================================================================================================================\n\n[LEVEL 1 Under Review](https://gov.bancor.network/c/level-1-under-review/14)\n\n\n[![](https://dub2.discourse-cdn.com/standard20/user_avatar/gov.bancor.network/thedavidmeister/90/129_2.png)](https://gov.bancor.network/u/thedavidmeister)\n\n[thedavidmeister](https://gov.bancor.network/u/thedavidmeister)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4efeefaa-431b-4ede-b2d6-9f53729739b3"}}},{"cell_type":"markdown","source":["TLDR:\n\n-   We pay IL on 100% of TKN available for trading\n-   We get diminishing returns on new fees per unit of trading liquidity\n-   If IL > fees then the protocol dies (and is already in crisis due to existing deficits)\n-   B3 has the unique ability to set a cap on trading liquidity\n-   Taking capital off-curve has a dual benefit of limiting IL exposure AND making it available to other revenue opportunities (native staking etc.)\n-   Currently the protocol deficit increases when ETH price increases by ~1.5x annually relative to BNT, making some assumptions, we could lift this to the protocol being profitable up to a ~4x ETH annual moon relative to BNT by limiting the on-curve trading liquidity to 520x 7 day trading fees + implementing some modest staking model (or similar)\n-   We should set a simple cap based on the data we have and commission a more sophisticated model in the near future\n\nProposal:\n\nWhen we look at the IL curve:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/optimized/2X/e/e0d10c4f716b77cc23de68cb160db8c6e9dc28e1_2_690x387.png)\n\n\nWe see that the losses due to IL are a % of all the capital deployed on the trading curve.\n\nIf TKN moons 2x relative to BNT then the IL is ~10%, a 4x moon has ~20% IL, etc.\n\nMeanwhile there are only so many fees due to trade volume across all of defi and almost all trades through bancor currently are based on arbitrage and aggregators only. That is to say, there is negligible trading being done directly on bancor due to retail etc. as that market is largely monopolized by aggregators and a few platforms that take the lion's share of human traders such as uniswap.\n\nIn considering this proposal, please consider mainly how arb bots and aggregators will respond, not human traders, as the former is 10x+ the latter in terms of protocol fee generation."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c7149321-2b9a-4cd0-878e-58e5b2367f38"}}},{"cell_type":"markdown","source":["Import Data"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c318fe9f-fd11-412f-a9b5-67d55e934f7d"}}},{"cell_type":"code","source":["import pandas as pd\n\nfilepath = 'https://bancorml.s3.us-east-2.amazonaws.com/preprocessed_tradingliquidity_vs_deficit.csv'\ndf = pd.read_csv(filepath)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"30b026a9-3151-42ac-be60-50b5be44630f"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Calculate Rolling Average Fee Revenue"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"8beb4fef-7b8f-4fa8-8b4c-75147450ce02"}}},{"cell_type":"code","source":["# For 7 day rolling averages\ndf['trade_revenue_real_rolling_7day_avg'] =  df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(7, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_7day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(7, min_periods=1).mean().reset_index(drop=True)\n\n# For 30 day rolling averages\ndf['trade_revenue_real_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5fb7205f-c2f8-4a49-b724-6129a472b5e4"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[41]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[41]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>3</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>2.284838</td>\n      <td>-2.999949e+00</td>\n      <td>-2.999949e+00</td>\n      <td>-6.854397e+00</td>\n      <td>-0.000014</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>2.231059</td>\n      <td>-4.806735e+00</td>\n      <td>-4.806735e+00</td>\n      <td>-1.072411e+01</td>\n      <td>-0.000011</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.227919</td>\n      <td>-6.742615e+00</td>\n      <td>-6.742615e+00</td>\n      <td>-1.502200e+01</td>\n      <td>-0.000016</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1760</th>\n      <td>2022-07-30</td>\n      <td>usdt</td>\n      <td>3</td>\n      <td>8048.896705</td>\n      <td>8006.239119</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>0.564534</td>\n      <td>-1.262901e+06</td>\n      <td>-2.190509e+06</td>\n      <td>-1.236617e+06</td>\n      <td>-0.407160</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n    </tr>\n    <tr>\n      <th>1761</th>\n      <td>2022-07-30</td>\n      <td>vbnt</td>\n      <td>12</td>\n      <td>49419.825171</td>\n      <td>23492.709503</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>0.564534</td>\n      <td>-1.939145e+05</td>\n      <td>-1.594473e+05</td>\n      <td>-9.001343e+04</td>\n      <td>-0.056916</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n    </tr>\n    <tr>\n      <th>1762</th>\n      <td>2022-07-30</td>\n      <td>wbtc</td>\n      <td>24</td>\n      <td>3.114918</td>\n      <td>74919.134757</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.564534</td>\n      <td>-1.726202e+02</td>\n      <td>-7.197113e+06</td>\n      <td>-4.063016e+06</td>\n      <td>-0.478564</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n    </tr>\n    <tr>\n      <th>1763</th>\n      <td>2022-07-30</td>\n      <td>woo</td>\n      <td>47</td>\n      <td>633485.015403</td>\n      <td>143133.895043</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>0.564534</td>\n      <td>-2.137629e+06</td>\n      <td>-8.456805e+05</td>\n      <td>-4.774155e+05</td>\n      <td>-0.267604</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n    </tr>\n    <tr>\n      <th>1764</th>\n      <td>2022-07-30</td>\n      <td>yfi</td>\n      <td>17</td>\n      <td>0.782309</td>\n      <td>9615.933365</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.564534</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n    </tr>\n  </tbody>\n</table>\n<p>1765 rows × 16 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>3</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>2.284838</td>\n      <td>-2.999949e+00</td>\n      <td>-2.999949e+00</td>\n      <td>-6.854397e+00</td>\n      <td>-0.000014</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>2.231059</td>\n      <td>-4.806735e+00</td>\n      <td>-4.806735e+00</td>\n      <td>-1.072411e+01</td>\n      <td>-0.000011</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.227919</td>\n      <td>-6.742615e+00</td>\n      <td>-6.742615e+00</td>\n      <td>-1.502200e+01</td>\n      <td>-0.000016</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1760</th>\n      <td>2022-07-30</td>\n      <td>usdt</td>\n      <td>3</td>\n      <td>8048.896705</td>\n      <td>8006.239119</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>0.564534</td>\n      <td>-1.262901e+06</td>\n      <td>-2.190509e+06</td>\n      <td>-1.236617e+06</td>\n      <td>-0.407160</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n      <td>81.301985</td>\n      <td>80.871100</td>\n    </tr>\n    <tr>\n      <th>1761</th>\n      <td>2022-07-30</td>\n      <td>vbnt</td>\n      <td>12</td>\n      <td>49419.825171</td>\n      <td>23492.709503</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>0.564534</td>\n      <td>-1.939145e+05</td>\n      <td>-1.594473e+05</td>\n      <td>-9.001343e+04</td>\n      <td>-0.056916</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n      <td>752.586170</td>\n      <td>357.756998</td>\n    </tr>\n    <tr>\n      <th>1762</th>\n      <td>2022-07-30</td>\n      <td>wbtc</td>\n      <td>24</td>\n      <td>3.114918</td>\n      <td>74919.134757</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.564534</td>\n      <td>-1.726202e+02</td>\n      <td>-7.197113e+06</td>\n      <td>-4.063016e+06</td>\n      <td>-0.478564</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n      <td>0.006242</td>\n      <td>150.135406</td>\n    </tr>\n    <tr>\n      <th>1763</th>\n      <td>2022-07-30</td>\n      <td>woo</td>\n      <td>47</td>\n      <td>633485.015403</td>\n      <td>143133.895043</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>0.564534</td>\n      <td>-2.137629e+06</td>\n      <td>-8.456805e+05</td>\n      <td>-4.774155e+05</td>\n      <td>-0.267604</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n      <td>1269.509049</td>\n      <td>286.841473</td>\n    </tr>\n    <tr>\n      <th>1764</th>\n      <td>2022-07-30</td>\n      <td>yfi</td>\n      <td>17</td>\n      <td>0.782309</td>\n      <td>9615.933365</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.564534</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n      <td>0.001568</td>\n      <td>19.270408</td>\n    </tr>\n  </tbody>\n</table>\n<p>1765 rows × 16 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#current-situation-1)Current situation\n-----------------------------------------------------------------------------------------------------------------------------------------------\n\nLet's look at how that translates to the current state of play for ETH.\n\nThere is 8807 ETH on the trading curve right now:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/7/7fc569f4bf2f391578b84463ea82683fd815b20d.png)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"bebfedd4-6b11-4eef-94a1-3d6b8c65730d"}}},{"cell_type":"markdown","source":["Based on the above, set `oncurve_eth` and `token_symbol` constants:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d35d3dd9-3023-4049-b57e-cf27e0fbbcb5"}}},{"cell_type":"code","source":["oncurve_eth = 8800\ntoken_symbol = 'eth'"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7de6b8cb-94fd-4a7e-9586-15156233f240"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Get the latest date in the dataset:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea01a7ac-32a5-4422-afc1-93ab9c723cc1"}}},{"cell_type":"code","source":["latest_date = df.sort_values('date', ascending=False)['date'].values[0]\nlatest_date"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e8aba016-3643-403c-a470-81b2324264e3"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[76]: &#39;2022-07-30&#39;</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[76]: &#39;2022-07-30&#39;</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["30 day rolling average ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aa51a4c9-ad48-49a0-aaba-2c626a33d6bf"}}},{"cell_type":"code","source":["eth_rolling_30day_real_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_real_rolling_30day_avg'].values[0]\n\neth_rolling_30day_usd_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_usd_rolling_30day_avg'].values[0]\n\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_real_avg} (real/day) \\033[1m')\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_usd_avg} (usd/day) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"52eb8924-e303-4cc7-a5c2-d8655b246d92"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.3133156103817142 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 533.9804979857236 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.3133156103817142 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 533.9804979857236 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Estimated 7 day ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7f621e21-6cea-42b0-b991-fa8ecc906c3a"}}},{"cell_type":"code","source":["estimated_7day_eth_fees_real = eth_rolling_30day_real_avg * 7\nestimated_7day_eth_fees_usd = eth_rolling_30day_usd_avg * 7\n\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_real} (real) \\033[1m')\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_usd} (usd) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2a835fe0-7fea-402a-b811-f55b1a87c911"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 2.193209272671999 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3737.863485900065 (usd) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 2.193209272671999 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3737.863485900065 (usd) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Comparing the above to prior naive estimate (limited data):\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/3/3b2d3eb390e5564193283285bad0d7a4a333cf53.png)\n\nIf we annualize the estimated fees we get:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":true,"inputWidgets":{},"nuid":"386e63bd-882d-4834-9477-406569bf005c"}}},{"cell_type":"code","source":["eth_annualized = 52 * estimated_7day_eth_fees_real\neth_annualized_percent_of_oncurve = (eth_annualized / oncurve_eth) * 100\n\nprint(f'\\033[1m ETH Fees annualized: {eth_annualized} (real) \\033[1m')\nprint(f'\\033[1m ETH Fees annualized as a percent of ETH on curve: {eth_annualized_percent_of_oncurve} (%) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d87952a5-06e6-4320-bf8e-c32471167ee2"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 114.04688217894396 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.2959872974879996 (%) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 114.04688217894396 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.2959872974879996 (%) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Setting aside mechanics like leveraged vortexing for the moment, the baseline is that the protocol will break even on ETH if IL on 8800 ETH is 1.29% or less, relative to BNT."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea3f9edb-7889-4071-843e-9964859675f4"}}},{"cell_type":"markdown","source":["That means that if ETH increases by just 50% relative to BNT over a year, all else equal, the protocol loses ETH and the deficit increases."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ba4f4-545d-4e15-b70d-9f2e160e4de6"}}},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#proposed-2)Proposed\n-----------------------------------------------------------------------------------------------------------------------------\n\nLet's limit the ETH pool size to 520x the 7 day fees, i.e. an APR of 10% all else equal.\n\nThis gives us a limited trading liquidity of:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"937e79eb-d82c-4f93-b14f-ee7d3999d0c7"}}},{"cell_type":"code","source":["limited_pool_size_520 = int(round(520 * estimated_7day_eth_fees_real, 0))\nprint(f'\\033[1m {limited_pool_size_520} (ETH) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1f206032-7c22-4575-b5a2-503774458605"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 1140 (ETH) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 1140 (ETH) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["If we assume that the fees generated on the limited trading liquidity are not significantly less than the fees on the current on-curve liquidity then this gives us an APR of 10% on ETH."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cbc3f824-2a8e-40b6-bf78-1bf6b32ad50b"}}},{"cell_type":"markdown","source":["We spent all of bancor v2.1 with caps on trading pools showing that 10% APR is sustainable for many TKN, but the reality of how many fees we would miss on a 2400 ETH pool vs. an 8800 ETH pool is something that we would have to measure and monitor.\n\nContinuing with the assumption of comparable fees with the limited pool...\n\nThis now means that a 2x in ETH vs. BNT costs the protocol 240 ETH instead of 880 ETH. That is to say, over 1 year we can expect the protocol to break even on the 10% APR even if ETH moons 2x relative to BNT.\n\nWe also have 6400 ETH freed up to generate fees. Native staking on ETH yields about 3%.\n\n6400 ETH x 0.03 = 192 ETH ~= 200 ETH\n\nAssuming we do the most conservative thing other than doing nothing at all, use the native ETH staking mechanism, we now have a budget of 200 ETH from staking 6400 ETH and 240 ETH from a 10% APR on 2400 ETH to cover the IL on 2400 ETH.\n\nWith 440 ETH we can cover up to ~18% IL on 2400 ETH which allows ETH to annually moon ~4x relative to BNT\n\nClearly a 4x annual moon is a significantly larger safety margin than a 1.5x annual moon.\n\nAll we need to do is:\n\n-   Limit pool to 520x the 7 day fees to give a minimum 10% APR\n-   Move the off-curve liquidity into a conservative yield generating mechanism offering 3% e.g. native staking\n\nGenerally we could and should apply this 520x cap to all TKN on the platform as a rule of thumb and then backfill more sophisticated analytics over time.\n\nFor many TKN we might run into a situation where the 7 day fees are too small to support trading of any size, so we can set a minimum, which right now can be somewhat arbitrary like 100k BNT.\n\n[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#voting-3)Voting\n-------------------------------------------------------------------------------------------------------------------------\n\nYES: Cap all on-curve TKN trading liquidity to 520x their rolling 7 day fees\n\n-   Frequency and level of automation of the cap management TBD and improved over time\n-   Commit to alternative revenue generation for the off-curve capital\n-   Commit to monitoring and ongoing analysis that is more sophisticated than what is presented above\n\nNO: Continue to attempt to cover double digit annual % IL with single digit % annual TKN fees"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2f9033a8-e93b-4f49-8dad-ff4e62c0e100"}}}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"limit_tradingliquidity_proposal_study","dashboards":[],"notebookMetadata":{"pythonIndentUnit":4},"language":"python","widgets":{},"notebookOrigID":1744197420073319}},"nbformat":4,"nbformat_minor":0}
+{"cells":[{"cell_type":"markdown","source":["Welcome to the Bancor Governance Forum. In this forum, the BancorDAO (Decentralized Autonomous Organization) proposes and discusses token Whitelistings, Trading liquidity limits, Fee changes, Bancor Improvement Proposals, and others.\n\nPlease head on to the [Information and Templates](https://gov.bancor.network/c/information-and-templates/16) category for more information on the DAO process.\n\nVoting happens on the [BancorDAO Snapshot Page](https://vote.bancor.network/)."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"681b934a-2625-4070-9b66-ba81e5913b98"}}},{"cell_type":"markdown","source":["[Proposal: Limit on-curve liquidity to max(520 x 7 day fees, 100k BNT)](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876)\n=============================================================================================================================================================================\n\n[LEVEL 1 Under Review](https://gov.bancor.network/c/level-1-under-review/14)\n\n\n![](https://dub2.discourse-cdn.com/standard20/user_avatar/gov.bancor.network/thedavidmeister/90/129_2.png)\n\n[thedavidmeister](https://gov.bancor.network/u/thedavidmeister)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4efeefaa-431b-4ede-b2d6-9f53729739b3"}}},{"cell_type":"markdown","source":["TLDR:\n\n-   We pay IL on 100% of TKN available for trading\n-   We get diminishing returns on new fees per unit of trading liquidity\n-   If IL > fees then the protocol dies (and is already in crisis due to existing deficits)\n-   B3 has the unique ability to set a cap on trading liquidity\n-   Taking capital off-curve has a dual benefit of limiting IL exposure AND making it available to other revenue opportunities (native staking etc.)\n-   Currently the protocol deficit increases when ETH price increases by ~1.5x annually relative to BNT, making some assumptions, we could lift this to the protocol being profitable up to a ~4x ETH annual moon relative to BNT by limiting the on-curve trading liquidity to 520x 7 day trading fees + implementing some modest staking model (or similar)\n-   We should set a simple cap based on the data we have and commission a more sophisticated model in the near future\n\nProposal:\n\nWhen we look at the IL curve:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/optimized/2X/e/e0d10c4f716b77cc23de68cb160db8c6e9dc28e1_2_690x387.png)\n\n\nWe see that the losses due to IL are a % of all the capital deployed on the trading curve.\n\nIf TKN moons 2x relative to BNT then the IL is ~10%, a 4x moon has ~20% IL, etc.\n\nMeanwhile there are only so many fees due to trade volume across all of defi and almost all trades through bancor currently are based on arbitrage and aggregators only. That is to say, there is negligible trading being done directly on bancor due to retail etc. as that market is largely monopolized by aggregators and a few platforms that take the lion's share of human traders such as uniswap.\n\nIn considering this proposal, please consider mainly how arb bots and aggregators will respond, not human traders, as the former is 10x+ the latter in terms of protocol fee generation."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c7149321-2b9a-4cd0-878e-58e5b2367f38"}}},{"cell_type":"markdown","source":["Import Data"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c318fe9f-fd11-412f-a9b5-67d55e934f7d"}}},{"cell_type":"code","source":["import pandas as pd\n\nfilepath = 'https://bancorml.s3.us-east-2.amazonaws.com/preprocessed_tradingliquidity_vs_deficit-3.csv'\ndf = pd.read_csv(filepath)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"30b026a9-3151-42ac-be60-50b5be44630f"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Calculate Rolling Average Fee Revenue"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"8beb4fef-7b8f-4fa8-8b4c-75147450ce02"}}},{"cell_type":"code","source":["# For 7 day rolling averages\ndf['trade_revenue_real_rolling_7day_avg'] =  df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(7, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_7day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(7, min_periods=1).mean().reset_index(drop=True)\n\n# For 30 day rolling averages\ndf['trade_revenue_real_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5fb7205f-c2f8-4a49-b724-6129a472b5e4"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[20]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[20]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 25 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 25 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#current-situation-1)Current situation\n-----------------------------------------------------------------------------------------------------------------------------------------------\n\nLet's look at how that translates to the current state of play for ETH.\n\nThere is 8807 ETH on the trading curve right now:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/7/7fc569f4bf2f391578b84463ea82683fd815b20d.png)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"bebfedd4-6b11-4eef-94a1-3d6b8c65730d"}}},{"cell_type":"markdown","source":["Get the latest date in the dataset:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea01a7ac-32a5-4422-afc1-93ab9c723cc1"}}},{"cell_type":"code","source":["latest_date = df.sort_values('date', ascending=False)['date'].values[0]\nlatest_date"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e8aba016-3643-403c-a470-81b2324264e3"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[21]: &#39;2022-07-13&#39;</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[21]: &#39;2022-07-13&#39;</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Based on the above, set `oncurve_eth` and `token_symbol` constants:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ca5b7-0e4d-4765-8839-f89d49062352"}}},{"cell_type":"code","source":["token_symbol = 'eth'"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"a14c9306-d442-44b5-8ce2-79bab7878ef5"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"code","source":["oncurve_eth = int(round(df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['tknTradingLiquidity_real'].values[0]))\noncurve_eth"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"99a3c628-d264-4ea7-9e2d-617f2d4b6d68"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[23]: 9724</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[23]: 9724</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["30 day rolling average ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aa51a4c9-ad48-49a0-aaba-2c626a33d6bf"}}},{"cell_type":"code","source":["eth_rolling_30day_real_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_real_rolling_30day_avg'].values[0]\n\neth_rolling_30day_usd_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_usd_rolling_30day_avg'].values[0]\n\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_real_avg} (real/day) \\033[1m \\n')\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_usd_avg} (usd/day) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"52eb8924-e303-4cc7-a5c2-d8655b246d92"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.5032507641136772 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 532.0927496151701 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.5032507641136772 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 532.0927496151701 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Estimated 7 day ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7f621e21-6cea-42b0-b991-fa8ecc906c3a"}}},{"cell_type":"code","source":["estimated_7day_eth_fees_real = eth_rolling_30day_real_avg * 7\nestimated_7day_eth_fees_usd = eth_rolling_30day_usd_avg * 7\n\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_real} (real) \\033[1m \\n')\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_usd} (usd) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2a835fe0-7fea-402a-b811-f55b1a87c911"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3.5227553487957404 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3724.649247306191 (usd) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3.5227553487957404 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3724.649247306191 (usd) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Comparing the above to prior naive estimate (limited data):\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/3/3b2d3eb390e5564193283285bad0d7a4a333cf53.png)\n\nIf we annualize the estimated fees we get:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":true,"inputWidgets":{},"nuid":"386e63bd-882d-4834-9477-406569bf005c"}}},{"cell_type":"code","source":["eth_annualized = round(52 * estimated_7day_eth_fees_real, 2)\neth_annualized_percent_of_oncurve = round((eth_annualized / oncurve_eth) * 100, 2)\n\nprint(f'\\033[1m ETH Fees annualized: {eth_annualized} (real) \\033[1m \\n')\nprint(f'\\033[1m ETH Fees annualized as a percent of ETH on curve: {eth_annualized_percent_of_oncurve} (%) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d87952a5-06e6-4320-bf8e-c32471167ee2"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 183.18 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.88 (%) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 183.18 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.88 (%) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Setting aside mechanics like leveraged vortexing for the moment, the baseline is that the protocol will break even on ETH if IL on 8800 ETH is 1.29% or less, relative to BNT."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea3f9edb-7889-4071-843e-9964859675f4"}}},{"cell_type":"markdown","source":["That means that if ETH increases by just 50% relative to BNT over a year, all else equal, the protocol loses ETH and the deficit increases."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ba4f4-545d-4e15-b70d-9f2e160e4de6"}}},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#proposed-2)Proposed\n-----------------------------------------------------------------------------------------------------------------------------\n\nLet's limit the ETH pool size to 520x the 7 day fees, i.e. an APR of 10% all else equal.\n\nThis gives us a limited trading liquidity of:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"937e79eb-d82c-4f93-b14f-ee7d3999d0c7"}}},{"cell_type":"code","source":["limited_pool_size_520 = int(round(520 * estimated_7day_eth_fees_real, 0))\nprint(f'\\033[1m {limited_pool_size_520} (ETH) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1f206032-7c22-4575-b5a2-503774458605"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 1832 (ETH) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 1832 (ETH) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["If we assume that the fees generated on the limited trading liquidity are not significantly less than the fees on the current on-curve liquidity then this gives us an APR of 10% on ETH."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cbc3f824-2a8e-40b6-bf78-1bf6b32ad50b"}}},{"cell_type":"markdown","source":["### TODO: Below not yet completed."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"3cd706e1-f95a-4c54-93a6-bd930a3d61fa"}}},{"cell_type":"markdown","source":["We spent all of bancor v2.1 with caps on trading pools showing that 10% APR is sustainable for many TKN, but the reality of how many fees we would miss on a 2400 ETH pool vs. an 8800 ETH pool is something that we would have to measure and monitor.\n\nContinuing with the assumption of comparable fees with the limited pool...\n\nThis now means that a 2x in ETH vs. BNT costs the protocol 240 ETH instead of 880 ETH. That is to say, over 1 year we can expect the protocol to break even on the 10% APR even if ETH moons 2x relative to BNT.\n\nWe also have 6400 ETH freed up to generate fees. Native staking on ETH yields about 3%.\n\n6400 ETH x 0.03 = 192 ETH ~= 200 ETH\n\nAssuming we do the most conservative thing other than doing nothing at all, use the native ETH staking mechanism, we now have a budget of 200 ETH from staking 6400 ETH and 240 ETH from a 10% APR on 2400 ETH to cover the IL on 2400 ETH.\n\nWith 440 ETH we can cover up to ~18% IL on 2400 ETH which allows ETH to annually moon ~4x relative to BNT\n\nClearly a 4x annual moon is a significantly larger safety margin than a 1.5x annual moon.\n\nAll we need to do is:\n\n-   Limit pool to 520x the 7 day fees to give a minimum 10% APR\n-   Move the off-curve liquidity into a conservative yield generating mechanism offering 3% e.g. native staking\n\nGenerally we could and should apply this 520x cap to all TKN on the platform as a rule of thumb and then backfill more sophisticated analytics over time.\n\nFor many TKN we might run into a situation where the 7 day fees are too small to support trading of any size, so we can set a minimum, which right now can be somewhat arbitrary like 100k BNT.\n\n[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#voting-3)Voting\n-------------------------------------------------------------------------------------------------------------------------\n\nYES: Cap all on-curve TKN trading liquidity to 520x their rolling 7 day fees\n\n-   Frequency and level of automation of the cap management TBD and improved over time\n-   Commit to alternative revenue generation for the off-curve capital\n-   Commit to monitoring and ongoing analysis that is more sophisticated than what is presented above\n\nNO: Continue to attempt to cover double digit annual % IL with single digit % annual TKN fees"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2f9033a8-e93b-4f49-8dad-ff4e62c0e100"}}}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"limit_tradingliquidity_proposal_study","dashboards":[],"notebookMetadata":{"pythonIndentUnit":4},"language":"python","widgets":{},"notebookOrigID":1744197420073319}},"nbformat":4,"nbformat_minor":0}

From c7de439927a0d4050377a11d71478c425eabeeab Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 1 Aug 2022 06:21:02 -0700
Subject: [PATCH 05/16] Update limit_tradingliquidity_proposal_study.ipynb

---
 examples/studies/limit_tradingliquidity_proposal_study.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/studies/limit_tradingliquidity_proposal_study.ipynb b/examples/studies/limit_tradingliquidity_proposal_study.ipynb
index d1fc07b9..a5cfb649 100644
--- a/examples/studies/limit_tradingliquidity_proposal_study.ipynb
+++ b/examples/studies/limit_tradingliquidity_proposal_study.ipynb
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","source":["Welcome to the Bancor Governance Forum. In this forum, the BancorDAO (Decentralized Autonomous Organization) proposes and discusses token Whitelistings, Trading liquidity limits, Fee changes, Bancor Improvement Proposals, and others.\n\nPlease head on to the [Information and Templates](https://gov.bancor.network/c/information-and-templates/16) category for more information on the DAO process.\n\nVoting happens on the [BancorDAO Snapshot Page](https://vote.bancor.network/)."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"681b934a-2625-4070-9b66-ba81e5913b98"}}},{"cell_type":"markdown","source":["[Proposal: Limit on-curve liquidity to max(520 x 7 day fees, 100k BNT)](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876)\n=============================================================================================================================================================================\n\n[LEVEL 1 Under Review](https://gov.bancor.network/c/level-1-under-review/14)\n\n\n![](https://dub2.discourse-cdn.com/standard20/user_avatar/gov.bancor.network/thedavidmeister/90/129_2.png)\n\n[thedavidmeister](https://gov.bancor.network/u/thedavidmeister)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4efeefaa-431b-4ede-b2d6-9f53729739b3"}}},{"cell_type":"markdown","source":["TLDR:\n\n-   We pay IL on 100% of TKN available for trading\n-   We get diminishing returns on new fees per unit of trading liquidity\n-   If IL > fees then the protocol dies (and is already in crisis due to existing deficits)\n-   B3 has the unique ability to set a cap on trading liquidity\n-   Taking capital off-curve has a dual benefit of limiting IL exposure AND making it available to other revenue opportunities (native staking etc.)\n-   Currently the protocol deficit increases when ETH price increases by ~1.5x annually relative to BNT, making some assumptions, we could lift this to the protocol being profitable up to a ~4x ETH annual moon relative to BNT by limiting the on-curve trading liquidity to 520x 7 day trading fees + implementing some modest staking model (or similar)\n-   We should set a simple cap based on the data we have and commission a more sophisticated model in the near future\n\nProposal:\n\nWhen we look at the IL curve:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/optimized/2X/e/e0d10c4f716b77cc23de68cb160db8c6e9dc28e1_2_690x387.png)\n\n\nWe see that the losses due to IL are a % of all the capital deployed on the trading curve.\n\nIf TKN moons 2x relative to BNT then the IL is ~10%, a 4x moon has ~20% IL, etc.\n\nMeanwhile there are only so many fees due to trade volume across all of defi and almost all trades through bancor currently are based on arbitrage and aggregators only. That is to say, there is negligible trading being done directly on bancor due to retail etc. as that market is largely monopolized by aggregators and a few platforms that take the lion's share of human traders such as uniswap.\n\nIn considering this proposal, please consider mainly how arb bots and aggregators will respond, not human traders, as the former is 10x+ the latter in terms of protocol fee generation."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c7149321-2b9a-4cd0-878e-58e5b2367f38"}}},{"cell_type":"markdown","source":["Import Data"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c318fe9f-fd11-412f-a9b5-67d55e934f7d"}}},{"cell_type":"code","source":["import pandas as pd\n\nfilepath = 'https://bancorml.s3.us-east-2.amazonaws.com/preprocessed_tradingliquidity_vs_deficit-3.csv'\ndf = pd.read_csv(filepath)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"30b026a9-3151-42ac-be60-50b5be44630f"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Calculate Rolling Average Fee Revenue"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"8beb4fef-7b8f-4fa8-8b4c-75147450ce02"}}},{"cell_type":"code","source":["# For 7 day rolling averages\ndf['trade_revenue_real_rolling_7day_avg'] =  df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(7, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_7day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(7, min_periods=1).mean().reset_index(drop=True)\n\n# For 30 day rolling averages\ndf['trade_revenue_real_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5fb7205f-c2f8-4a49-b724-6129a472b5e4"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[20]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[20]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 25 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 25 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#current-situation-1)Current situation\n-----------------------------------------------------------------------------------------------------------------------------------------------\n\nLet's look at how that translates to the current state of play for ETH.\n\nThere is 8807 ETH on the trading curve right now:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/7/7fc569f4bf2f391578b84463ea82683fd815b20d.png)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"bebfedd4-6b11-4eef-94a1-3d6b8c65730d"}}},{"cell_type":"markdown","source":["Get the latest date in the dataset:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea01a7ac-32a5-4422-afc1-93ab9c723cc1"}}},{"cell_type":"code","source":["latest_date = df.sort_values('date', ascending=False)['date'].values[0]\nlatest_date"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e8aba016-3643-403c-a470-81b2324264e3"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[21]: &#39;2022-07-13&#39;</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[21]: &#39;2022-07-13&#39;</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Based on the above, set `oncurve_eth` and `token_symbol` constants:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ca5b7-0e4d-4765-8839-f89d49062352"}}},{"cell_type":"code","source":["token_symbol = 'eth'"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"a14c9306-d442-44b5-8ce2-79bab7878ef5"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"code","source":["oncurve_eth = int(round(df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['tknTradingLiquidity_real'].values[0]))\noncurve_eth"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"99a3c628-d264-4ea7-9e2d-617f2d4b6d68"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[23]: 9724</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[23]: 9724</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["30 day rolling average ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aa51a4c9-ad48-49a0-aaba-2c626a33d6bf"}}},{"cell_type":"code","source":["eth_rolling_30day_real_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_real_rolling_30day_avg'].values[0]\n\neth_rolling_30day_usd_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_usd_rolling_30day_avg'].values[0]\n\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_real_avg} (real/day) \\033[1m \\n')\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_usd_avg} (usd/day) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"52eb8924-e303-4cc7-a5c2-d8655b246d92"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.5032507641136772 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 532.0927496151701 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.5032507641136772 (real/day) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> 30 day rolling avg: 532.0927496151701 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Estimated 7 day ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7f621e21-6cea-42b0-b991-fa8ecc906c3a"}}},{"cell_type":"code","source":["estimated_7day_eth_fees_real = eth_rolling_30day_real_avg * 7\nestimated_7day_eth_fees_usd = eth_rolling_30day_usd_avg * 7\n\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_real} (real) \\033[1m \\n')\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_usd} (usd) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2a835fe0-7fea-402a-b811-f55b1a87c911"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3.5227553487957404 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3724.649247306191 (usd) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3.5227553487957404 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3724.649247306191 (usd) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Comparing the above to prior naive estimate (limited data):\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/3/3b2d3eb390e5564193283285bad0d7a4a333cf53.png)\n\nIf we annualize the estimated fees we get:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":true,"inputWidgets":{},"nuid":"386e63bd-882d-4834-9477-406569bf005c"}}},{"cell_type":"code","source":["eth_annualized = round(52 * estimated_7day_eth_fees_real, 2)\neth_annualized_percent_of_oncurve = round((eth_annualized / oncurve_eth) * 100, 2)\n\nprint(f'\\033[1m ETH Fees annualized: {eth_annualized} (real) \\033[1m \\n')\nprint(f'\\033[1m ETH Fees annualized as a percent of ETH on curve: {eth_annualized_percent_of_oncurve} (%) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d87952a5-06e6-4320-bf8e-c32471167ee2"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 183.18 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.88 (%) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 183.18 (real) </span><span class=\"ansi-bold\">\n</span><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.88 (%) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Setting aside mechanics like leveraged vortexing for the moment, the baseline is that the protocol will break even on ETH if IL on 8800 ETH is 1.29% or less, relative to BNT."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea3f9edb-7889-4071-843e-9964859675f4"}}},{"cell_type":"markdown","source":["That means that if ETH increases by just 50% relative to BNT over a year, all else equal, the protocol loses ETH and the deficit increases."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ba4f4-545d-4e15-b70d-9f2e160e4de6"}}},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#proposed-2)Proposed\n-----------------------------------------------------------------------------------------------------------------------------\n\nLet's limit the ETH pool size to 520x the 7 day fees, i.e. an APR of 10% all else equal.\n\nThis gives us a limited trading liquidity of:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"937e79eb-d82c-4f93-b14f-ee7d3999d0c7"}}},{"cell_type":"code","source":["limited_pool_size_520 = int(round(520 * estimated_7day_eth_fees_real, 0))\nprint(f'\\033[1m {limited_pool_size_520} (ETH) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1f206032-7c22-4575-b5a2-503774458605"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 1832 (ETH) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 1832 (ETH) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["If we assume that the fees generated on the limited trading liquidity are not significantly less than the fees on the current on-curve liquidity then this gives us an APR of 10% on ETH."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cbc3f824-2a8e-40b6-bf78-1bf6b32ad50b"}}},{"cell_type":"markdown","source":["### TODO: Below not yet completed."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"3cd706e1-f95a-4c54-93a6-bd930a3d61fa"}}},{"cell_type":"markdown","source":["We spent all of bancor v2.1 with caps on trading pools showing that 10% APR is sustainable for many TKN, but the reality of how many fees we would miss on a 2400 ETH pool vs. an 8800 ETH pool is something that we would have to measure and monitor.\n\nContinuing with the assumption of comparable fees with the limited pool...\n\nThis now means that a 2x in ETH vs. BNT costs the protocol 240 ETH instead of 880 ETH. That is to say, over 1 year we can expect the protocol to break even on the 10% APR even if ETH moons 2x relative to BNT.\n\nWe also have 6400 ETH freed up to generate fees. Native staking on ETH yields about 3%.\n\n6400 ETH x 0.03 = 192 ETH ~= 200 ETH\n\nAssuming we do the most conservative thing other than doing nothing at all, use the native ETH staking mechanism, we now have a budget of 200 ETH from staking 6400 ETH and 240 ETH from a 10% APR on 2400 ETH to cover the IL on 2400 ETH.\n\nWith 440 ETH we can cover up to ~18% IL on 2400 ETH which allows ETH to annually moon ~4x relative to BNT\n\nClearly a 4x annual moon is a significantly larger safety margin than a 1.5x annual moon.\n\nAll we need to do is:\n\n-   Limit pool to 520x the 7 day fees to give a minimum 10% APR\n-   Move the off-curve liquidity into a conservative yield generating mechanism offering 3% e.g. native staking\n\nGenerally we could and should apply this 520x cap to all TKN on the platform as a rule of thumb and then backfill more sophisticated analytics over time.\n\nFor many TKN we might run into a situation where the 7 day fees are too small to support trading of any size, so we can set a minimum, which right now can be somewhat arbitrary like 100k BNT.\n\n[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#voting-3)Voting\n-------------------------------------------------------------------------------------------------------------------------\n\nYES: Cap all on-curve TKN trading liquidity to 520x their rolling 7 day fees\n\n-   Frequency and level of automation of the cap management TBD and improved over time\n-   Commit to alternative revenue generation for the off-curve capital\n-   Commit to monitoring and ongoing analysis that is more sophisticated than what is presented above\n\nNO: Continue to attempt to cover double digit annual % IL with single digit % annual TKN fees"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2f9033a8-e93b-4f49-8dad-ff4e62c0e100"}}}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"limit_tradingliquidity_proposal_study","dashboards":[],"notebookMetadata":{"pythonIndentUnit":4},"language":"python","widgets":{},"notebookOrigID":1744197420073319}},"nbformat":4,"nbformat_minor":0}
+{"cells":[{"cell_type":"markdown","source":["Welcome to the Bancor Governance Forum. In this forum, the BancorDAO (Decentralized Autonomous Organization) proposes and discusses token Whitelistings, Trading liquidity limits, Fee changes, Bancor Improvement Proposals, and others.\n\nPlease head on to the [Information and Templates](https://gov.bancor.network/c/information-and-templates/16) category for more information on the DAO process.\n\nVoting happens on the [BancorDAO Snapshot Page](https://vote.bancor.network/)."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"681b934a-2625-4070-9b66-ba81e5913b98"}}},{"cell_type":"markdown","source":["[Proposal: Limit on-curve liquidity to max(520 x 7 day fees, 100k BNT)](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876)\n=============================================================================================================================================================================\n\n[LEVEL 1 Under Review](https://gov.bancor.network/c/level-1-under-review/14)\n\n\n![](https://dub2.discourse-cdn.com/standard20/user_avatar/gov.bancor.network/thedavidmeister/90/129_2.png)\n\n[thedavidmeister](https://gov.bancor.network/u/thedavidmeister)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4efeefaa-431b-4ede-b2d6-9f53729739b3"}}},{"cell_type":"markdown","source":["TLDR:\n\n-   We pay IL on 100% of TKN available for trading\n-   We get diminishing returns on new fees per unit of trading liquidity\n-   If IL > fees then the protocol dies (and is already in crisis due to existing deficits)\n-   B3 has the unique ability to set a cap on trading liquidity\n-   Taking capital off-curve has a dual benefit of limiting IL exposure AND making it available to other revenue opportunities (native staking etc.)\n-   Currently the protocol deficit increases when ETH price increases by ~1.5x annually relative to BNT, making some assumptions, we could lift this to the protocol being profitable up to a ~4x ETH annual moon relative to BNT by limiting the on-curve trading liquidity to 520x 7 day trading fees + implementing some modest staking model (or similar)\n-   We should set a simple cap based on the data we have and commission a more sophisticated model in the near future\n\nProposal:\n\nWhen we look at the IL curve:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/optimized/2X/e/e0d10c4f716b77cc23de68cb160db8c6e9dc28e1_2_690x387.png)\n\n\nWe see that the losses due to IL are a % of all the capital deployed on the trading curve.\n\nIf TKN moons 2x relative to BNT then the IL is ~10%, a 4x moon has ~20% IL, etc.\n\nMeanwhile there are only so many fees due to trade volume across all of defi and almost all trades through bancor currently are based on arbitrage and aggregators only. That is to say, there is negligible trading being done directly on bancor due to retail etc. as that market is largely monopolized by aggregators and a few platforms that take the lion's share of human traders such as uniswap.\n\nIn considering this proposal, please consider mainly how arb bots and aggregators will respond, not human traders, as the former is 10x+ the latter in terms of protocol fee generation."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c7149321-2b9a-4cd0-878e-58e5b2367f38"}}},{"cell_type":"markdown","source":["Import Data"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c318fe9f-fd11-412f-a9b5-67d55e934f7d"}}},{"cell_type":"code","source":["import pandas as pd\n\nfilepath = 'https://bancorml.s3.us-east-2.amazonaws.com/preprocessed_tradingliquidity_vs_deficit-3.csv'\ndf = pd.read_csv(filepath)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"30b026a9-3151-42ac-be60-50b5be44630f"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Calculate Rolling Average Fee Revenue"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"8beb4fef-7b8f-4fa8-8b4c-75147450ce02"}}},{"cell_type":"code","source":["# For 7 day rolling averages\ndf['trade_revenue_real_rolling_7day_avg'] =  df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(7, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_7day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(7, min_periods=1).mean().reset_index(drop=True)\n\n# For 30 day rolling averages\ndf['trade_revenue_real_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_real'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf['trade_revenue_usd_rolling_30day_avg'] = df.groupby(['date', 'targetSymbol'])['trade_revenue_usd'].rolling(30, min_periods=1).mean().reset_index(drop=True)\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5fb7205f-c2f8-4a49-b724-6129a472b5e4"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[29]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[29]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 25 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n      <th>trade_revenue_real_rolling_7day_avg</th>\n      <th>trade_revenue_usd_rolling_7day_avg</th>\n      <th>trade_revenue_real_rolling_30day_avg</th>\n      <th>trade_revenue_usd_rolling_30day_avg</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 25 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#current-situation-1)Current situation\n-----------------------------------------------------------------------------------------------------------------------------------------------\n\nLet's look at how that translates to the current state of play for ETH.\n\nThere is 8807 ETH on the trading curve right now:\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/7/7fc569f4bf2f391578b84463ea82683fd815b20d.png)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"bebfedd4-6b11-4eef-94a1-3d6b8c65730d"}}},{"cell_type":"markdown","source":["Get the latest date in the dataset:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea01a7ac-32a5-4422-afc1-93ab9c723cc1"}}},{"cell_type":"code","source":["latest_date = df.sort_values('date', ascending=False)['date'].values[0]\nlatest_date"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e8aba016-3643-403c-a470-81b2324264e3"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[30]: &#39;2022-07-13&#39;</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[30]: &#39;2022-07-13&#39;</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Based on the above, set `oncurve_eth` and `token_symbol` constants:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ca5b7-0e4d-4765-8839-f89d49062352"}}},{"cell_type":"code","source":["token_symbol = 'eth'"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"a14c9306-d442-44b5-8ce2-79bab7878ef5"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"code","source":["oncurve_eth = int(round(df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['tknTradingLiquidity_real'].values[0]))\noncurve_eth"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"99a3c628-d264-4ea7-9e2d-617f2d4b6d68"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[32]: 9724</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[32]: 9724</div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["30 day rolling average ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aa51a4c9-ad48-49a0-aaba-2c626a33d6bf"}}},{"cell_type":"code","source":["eth_rolling_30day_real_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_real_rolling_30day_avg'].values[0]\n\neth_rolling_30day_usd_avg = df[(df['date']==latest_date) & (df['targetSymbol']==token_symbol)]['trade_revenue_usd_rolling_30day_avg'].values[0]\n\nprint(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_real_avg} (real/day) \\033[1m \\n')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"52eb8924-e303-4cc7-a5c2-d8655b246d92"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.5032507641136772 (real/day) </span><span class=\"ansi-bold\"> \n\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 0.5032507641136772 (real/day) </span><span class=\"ansi-bold\"> \n\n</span></div>"]}}],"execution_count":0},{"cell_type":"code","source":["print(f'\\033[1m 30 day rolling avg: {eth_rolling_30day_usd_avg} (usd/day) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"b9b9b980-07fe-4e3a-b533-26be6ea5e10d"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 532.0927496151701 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 30 day rolling avg: 532.0927496151701 (usd/day) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Estimated 7 day ETH fees are:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7f621e21-6cea-42b0-b991-fa8ecc906c3a"}}},{"cell_type":"code","source":["estimated_7day_eth_fees_real = eth_rolling_30day_real_avg * 7\nestimated_7day_eth_fees_usd = eth_rolling_30day_usd_avg * 7\n\nprint(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_real} (real) \\033[1m \\n')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2a835fe0-7fea-402a-b811-f55b1a87c911"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3.5227553487957404 (real) </span><span class=\"ansi-bold\"> \n\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3.5227553487957404 (real) </span><span class=\"ansi-bold\"> \n\n</span></div>"]}}],"execution_count":0},{"cell_type":"code","source":["print(f'\\033[1m Estimated 7 day ETH fees: {estimated_7day_eth_fees_usd} (usd) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"7ca63500-0877-4fde-8055-70dbf1fb9dfb"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3724.649247306191 (usd) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> Estimated 7 day ETH fees: 3724.649247306191 (usd) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Comparing the above to prior naive estimate (limited data):\n\n![image](https://aws1.discourse-cdn.com/standard20/uploads/bancordao/original/2X/3/3b2d3eb390e5564193283285bad0d7a4a333cf53.png)\n\nIf we annualize the estimated fees we get:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":true,"inputWidgets":{},"nuid":"386e63bd-882d-4834-9477-406569bf005c"}}},{"cell_type":"code","source":["eth_annualized = round(52 * estimated_7day_eth_fees_real, 2)\neth_annualized_percent_of_oncurve = round((eth_annualized / oncurve_eth) * 100, 2)\n\nprint(f'\\033[1m ETH Fees annualized: {eth_annualized} (real) \\033[1m \\n')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d87952a5-06e6-4320-bf8e-c32471167ee2"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 183.18 (real) </span><span class=\"ansi-bold\"> \n\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized: 183.18 (real) </span><span class=\"ansi-bold\"> \n\n</span></div>"]}}],"execution_count":0},{"cell_type":"code","source":["print(f'\\033[1m ETH Fees annualized as a percent of ETH on curve: {eth_annualized_percent_of_oncurve} (%) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1bdc4c18-33ef-4e3a-838c-1a9bf75fcc1d"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.88 (%) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> ETH Fees annualized as a percent of ETH on curve: 1.88 (%) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["Setting aside mechanics like leveraged vortexing for the moment, the baseline is that the protocol will break even on ETH if IL on 8800 ETH is 1.29% or less, relative to BNT."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea3f9edb-7889-4071-843e-9964859675f4"}}},{"cell_type":"markdown","source":["That means that if ETH increases by just 50% relative to BNT over a year, all else equal, the protocol loses ETH and the deficit increases."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"468ba4f4-545d-4e15-b70d-9f2e160e4de6"}}},{"cell_type":"markdown","source":["[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#proposed-2)Proposed\n-----------------------------------------------------------------------------------------------------------------------------\n\nLet's limit the ETH pool size to 520x the 7 day fees, i.e. an APR of 10% all else equal.\n\nThis gives us a limited trading liquidity of:"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"937e79eb-d82c-4f93-b14f-ee7d3999d0c7"}}},{"cell_type":"code","source":["limited_pool_size_520 = int(round(520 * estimated_7day_eth_fees_real, 0))\nprint(f'\\033[1m {limited_pool_size_520} (ETH) \\033[1m')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1f206032-7c22-4575-b5a2-503774458605"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"><span class=\"ansi-bold\"> 1832 (ETH) </span><span class=\"ansi-bold\">\n</span></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansi-bold\"> 1832 (ETH) </span><span class=\"ansi-bold\">\n</span></div>"]}}],"execution_count":0},{"cell_type":"markdown","source":["If we assume that the fees generated on the limited trading liquidity are not significantly less than the fees on the current on-curve liquidity then this gives us an APR of 10% on ETH."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cbc3f824-2a8e-40b6-bf78-1bf6b32ad50b"}}},{"cell_type":"markdown","source":["### TODO: Below not yet completed."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"3cd706e1-f95a-4c54-93a6-bd930a3d61fa"}}},{"cell_type":"markdown","source":["We spent all of bancor v2.1 with caps on trading pools showing that 10% APR is sustainable for many TKN, but the reality of how many fees we would miss on a 2400 ETH pool vs. an 8800 ETH pool is something that we would have to measure and monitor.\n\nContinuing with the assumption of comparable fees with the limited pool...\n\nThis now means that a 2x in ETH vs. BNT costs the protocol 240 ETH instead of 880 ETH. That is to say, over 1 year we can expect the protocol to break even on the 10% APR even if ETH moons 2x relative to BNT.\n\nWe also have 6400 ETH freed up to generate fees. Native staking on ETH yields about 3%.\n\n6400 ETH x 0.03 = 192 ETH ~= 200 ETH\n\nAssuming we do the most conservative thing other than doing nothing at all, use the native ETH staking mechanism, we now have a budget of 200 ETH from staking 6400 ETH and 240 ETH from a 10% APR on 2400 ETH to cover the IL on 2400 ETH.\n\nWith 440 ETH we can cover up to ~18% IL on 2400 ETH which allows ETH to annually moon ~4x relative to BNT\n\nClearly a 4x annual moon is a significantly larger safety margin than a 1.5x annual moon.\n\nAll we need to do is:\n\n-   Limit pool to 520x the 7 day fees to give a minimum 10% APR\n-   Move the off-curve liquidity into a conservative yield generating mechanism offering 3% e.g. native staking\n\nGenerally we could and should apply this 520x cap to all TKN on the platform as a rule of thumb and then backfill more sophisticated analytics over time.\n\nFor many TKN we might run into a situation where the 7 day fees are too small to support trading of any size, so we can set a minimum, which right now can be somewhat arbitrary like 100k BNT.\n\n[](https://gov.bancor.network/t/proposal-limit-on-curve-liquidity-to-max-520-x-7-day-fees-100k-bnt/3876/1#voting-3)Voting\n-------------------------------------------------------------------------------------------------------------------------\n\nYES: Cap all on-curve TKN trading liquidity to 520x their rolling 7 day fees\n\n-   Frequency and level of automation of the cap management TBD and improved over time\n-   Commit to alternative revenue generation for the off-curve capital\n-   Commit to monitoring and ongoing analysis that is more sophisticated than what is presented above\n\nNO: Continue to attempt to cover double digit annual % IL with single digit % annual TKN fees"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2f9033a8-e93b-4f49-8dad-ff4e62c0e100"}}}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"limit_tradingliquidity_proposal_study","dashboards":[],"notebookMetadata":{"pythonIndentUnit":4},"language":"python","widgets":{},"notebookOrigID":1744197420073319}},"nbformat":4,"nbformat_minor":0}

From 14bc04037f76074a5d705224ce2782c5a332e5b6 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Thu, 4 Aug 2022 12:43:34 -0700
Subject: [PATCH 06/16] Create join_tables.ipynb

---
 examples/studies/join_tables.ipynb | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 examples/studies/join_tables.ipynb

diff --git a/examples/studies/join_tables.ipynb b/examples/studies/join_tables.ipynb
new file mode 100644
index 00000000..7de689ed
--- /dev/null
+++ b/examples/studies/join_tables.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"code","source":["total_liquidity = spark.sql('select * from default.events_poolcollection_totalliquidityupdated_csv')\n\n# convert to python\ntotal_liquidity = total_liquidity.toPandas()\n\n# convert to date\ntotal_liquidity['date'] = total_liquidity['time'].dt.date\n\n# sort by timestamp\ntotal_liquidity = total_liquidity.sort_values('time', ascending=False)\n\n# drop all but the last timestamp\ntotal_liquidity = total_liquidity.drop_duplicates(subset=['date', 'poolSymbol'])\n\n# keep only what we need\ntotal_liquidity = total_liquidity[['date', 'poolSymbol', 'liquidity_real', 'stakedBalance_real', 'poolTokenSupply_real']]\n\n#cleanup\ntotal_liquidity = total_liquidity.rename({'poolSymbol':'targetSymbol'}, axis=1)\ntotal_liquidity"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"169b59db-3107-4a7f-a46c-e48d17450614"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">/databricks/spark/python/pyspark/sql/pandas/utils.py:79: UserWarning: The conversion of DecimalType columns is inefficient and may take a long time. Column names: [liquidity, stakedBalance, poolTokenSupply] If those columns are not necessary, you may consider dropping them or converting to primitive types before the conversion.\n  warnings.warn(\nOut[65]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">/databricks/spark/python/pyspark/sql/pandas/utils.py:79: UserWarning: The conversion of DecimalType columns is inefficient and may take a long time. Column names: [liquidity, stakedBalance, poolTokenSupply] If those columns are not necessary, you may consider dropping them or converting to primitive types before the conversion.\n  warnings.warn(\nOut[65]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>7448</th>\n      <td>2022-07-31</td>\n      <td>ocean</td>\n      <td>6.912618e+05</td>\n      <td>6.843423e+05</td>\n      <td>6.843039e+05</td>\n    </tr>\n    <tr>\n      <th>7447</th>\n      <td>2022-07-31</td>\n      <td>link</td>\n      <td>1.953899e+06</td>\n      <td>3.559284e+06</td>\n      <td>3.545272e+06</td>\n    </tr>\n    <tr>\n      <th>7442</th>\n      <td>2022-07-31</td>\n      <td>usdc</td>\n      <td>1.545114e+06</td>\n      <td>2.700176e+06</td>\n      <td>2.693568e+06</td>\n    </tr>\n    <tr>\n      <th>7441</th>\n      <td>2022-07-31</td>\n      <td>aave</td>\n      <td>8.895992e+02</td>\n      <td>9.905408e+02</td>\n      <td>9.896419e+02</td>\n    </tr>\n    <tr>\n      <th>7440</th>\n      <td>2022-07-31</td>\n      <td>eth</td>\n      <td>8.271622e+03</td>\n      <td>1.637554e+04</td>\n      <td>1.633647e+04</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>2022-04-19</td>\n      <td>dai</td>\n      <td>1.718687e+05</td>\n      <td>1.718687e+05</td>\n      <td>1.718687e+05</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-04-19</td>\n      <td>eth</td>\n      <td>5.711200e+01</td>\n      <td>5.711200e+01</td>\n      <td>5.711200e+01</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-04-18</td>\n      <td>dai</td>\n      <td>1.718457e+05</td>\n      <td>1.718457e+05</td>\n      <td>1.718457e+05</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-04-18</td>\n      <td>link</td>\n      <td>1.237110e+04</td>\n      <td>1.237110e+04</td>\n      <td>1.237110e+04</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-04-18</td>\n      <td>eth</td>\n      <td>5.710200e+01</td>\n      <td>5.710200e+01</td>\n      <td>5.710200e+01</td>\n    </tr>\n  </tbody>\n</table>\n<p>1360 rows × 5 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>7448</th>\n      <td>2022-07-31</td>\n      <td>ocean</td>\n      <td>6.912618e+05</td>\n      <td>6.843423e+05</td>\n      <td>6.843039e+05</td>\n    </tr>\n    <tr>\n      <th>7447</th>\n      <td>2022-07-31</td>\n      <td>link</td>\n      <td>1.953899e+06</td>\n      <td>3.559284e+06</td>\n      <td>3.545272e+06</td>\n    </tr>\n    <tr>\n      <th>7442</th>\n      <td>2022-07-31</td>\n      <td>usdc</td>\n      <td>1.545114e+06</td>\n      <td>2.700176e+06</td>\n      <td>2.693568e+06</td>\n    </tr>\n    <tr>\n      <th>7441</th>\n      <td>2022-07-31</td>\n      <td>aave</td>\n      <td>8.895992e+02</td>\n      <td>9.905408e+02</td>\n      <td>9.896419e+02</td>\n    </tr>\n    <tr>\n      <th>7440</th>\n      <td>2022-07-31</td>\n      <td>eth</td>\n      <td>8.271622e+03</td>\n      <td>1.637554e+04</td>\n      <td>1.633647e+04</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>2022-04-19</td>\n      <td>dai</td>\n      <td>1.718687e+05</td>\n      <td>1.718687e+05</td>\n      <td>1.718687e+05</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-04-19</td>\n      <td>eth</td>\n      <td>5.711200e+01</td>\n      <td>5.711200e+01</td>\n      <td>5.711200e+01</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-04-18</td>\n      <td>dai</td>\n      <td>1.718457e+05</td>\n      <td>1.718457e+05</td>\n      <td>1.718457e+05</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-04-18</td>\n      <td>link</td>\n      <td>1.237110e+04</td>\n      <td>1.237110e+04</td>\n      <td>1.237110e+04</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-04-18</td>\n      <td>eth</td>\n      <td>5.710200e+01</td>\n      <td>5.710200e+01</td>\n      <td>5.710200e+01</td>\n    </tr>\n  </tbody>\n</table>\n<p>1360 rows × 5 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["spot_rates = spark.sql('select * from default.events_v3_historical_spotrates_emarates_parquet')\nspot_rates = spot_rates.toPandas()\nspot_rates = spot_rates.rename({'poolSymbol':'targetSymbol'}, axis=1)\nspot_rates"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"Events - v3_historical_spotrates_emarates","showTitle":true,"inputWidgets":{},"nuid":"db5a4322-b7d1-48b4-b997-a2c974715ae8"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[7]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[7]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>time</th>\n      <th>targetSymbol</th>\n      <th>spotRate</th>\n      <th>emaRate</th>\n      <th>bntprice</th>\n      <th>spotRate_usd</th>\n      <th>emaRate_usd</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036819938</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2966630695016823</td>\n      <td>1.002984982026035027163148242</td>\n      <td>1.002984982026035027163138169</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1345.750198415145197216429676</td>\n      <td>1345.750198415145197206623839</td>\n      <td>2.2966630695016823</td>\n      <td>3090.734781474625359486062034</td>\n      <td>3090.734781474625359463541331</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>link</td>\n      <td>6.078602620087336244542068687</td>\n      <td>6.078602620087336244541484716</td>\n      <td>2.2966630695016823</td>\n      <td>13.96050215173075005065636302</td>\n      <td>13.96050215173075005065502183</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>14631356</td>\n      <td>2022-04-21</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036796103</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2848382209601885</td>\n      <td>0.9978209047787685848131251028</td>\n      <td>0.9978209047787685848131205279</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4897</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>wsteth</td>\n      <td>3150.605438862183002349325071</td>\n      <td>3222.200955037924168430422691</td>\n      <td>0.5687196261580798</td>\n      <td>1791.811147361313660293911392</td>\n      <td>1832.528922555375931418315045</td>\n    </tr>\n    <tr>\n      <th>4898</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>wxt</td>\n      <td>0</td>\n      <td>0E+18</td>\n      <td>0.5687196261580798</td>\n      <td>0E-16</td>\n      <td>0E+2</td>\n    </tr>\n    <tr>\n      <th>4899</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>yfi</td>\n      <td>19095.58648213066206067842982</td>\n      <td>19499.33223112877664638917964</td>\n      <td>0.5687196261580798</td>\n      <td>10860.03480538663230225934455</td>\n      <td>11089.65293681975395140237928</td>\n    </tr>\n    <tr>\n      <th>4900</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>zcn</td>\n      <td>0.3373845262408244294475070551</td>\n      <td>0.3431324574798884287148608234</td>\n      <td>0.5687196261580798</td>\n      <td>0.1918772016352025338782938767</td>\n      <td>0.1951461629406653599523725750</td>\n    </tr>\n    <tr>\n      <th>4901</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0.5687196261580798</td>\n      <td>0.5687196261580798</td>\n      <td>0.5687196261580798</td>\n    </tr>\n  </tbody>\n</table>\n<p>4902 rows × 8 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>time</th>\n      <th>targetSymbol</th>\n      <th>spotRate</th>\n      <th>emaRate</th>\n      <th>bntprice</th>\n      <th>spotRate_usd</th>\n      <th>emaRate_usd</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036819938</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2966630695016823</td>\n      <td>1.002984982026035027163148242</td>\n      <td>1.002984982026035027163138169</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1345.750198415145197216429676</td>\n      <td>1345.750198415145197206623839</td>\n      <td>2.2966630695016823</td>\n      <td>3090.734781474625359486062034</td>\n      <td>3090.734781474625359463541331</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>link</td>\n      <td>6.078602620087336244542068687</td>\n      <td>6.078602620087336244541484716</td>\n      <td>2.2966630695016823</td>\n      <td>13.96050215173075005065636302</td>\n      <td>13.96050215173075005065502183</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>14631356</td>\n      <td>2022-04-21</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036796103</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2848382209601885</td>\n      <td>0.9978209047787685848131251028</td>\n      <td>0.9978209047787685848131205279</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4897</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>wsteth</td>\n      <td>3150.605438862183002349325071</td>\n      <td>3222.200955037924168430422691</td>\n      <td>0.5687196261580798</td>\n      <td>1791.811147361313660293911392</td>\n      <td>1832.528922555375931418315045</td>\n    </tr>\n    <tr>\n      <th>4898</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>wxt</td>\n      <td>0</td>\n      <td>0E+18</td>\n      <td>0.5687196261580798</td>\n      <td>0E-16</td>\n      <td>0E+2</td>\n    </tr>\n    <tr>\n      <th>4899</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>yfi</td>\n      <td>19095.58648213066206067842982</td>\n      <td>19499.33223112877664638917964</td>\n      <td>0.5687196261580798</td>\n      <td>10860.03480538663230225934455</td>\n      <td>11089.65293681975395140237928</td>\n    </tr>\n    <tr>\n      <th>4900</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>zcn</td>\n      <td>0.3373845262408244294475070551</td>\n      <td>0.3431324574798884287148608234</td>\n      <td>0.5687196261580798</td>\n      <td>0.1918772016352025338782938767</td>\n      <td>0.1951461629406653599523725750</td>\n    </tr>\n    <tr>\n      <th>4901</th>\n      <td>15253305</td>\n      <td>2022-07-31</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0.5687196261580798</td>\n      <td>0.5687196261580798</td>\n      <td>0.5687196261580798</td>\n    </tr>\n  </tbody>\n</table>\n<p>4902 rows × 8 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["trading_liquidity = spark.sql('select * from default.events_poolcollection_tradingliquidityupdated_spotrates_csv')\n\n# convert to pandas\ntrading_liquidity = trading_liquidity.toPandas()\n\n# convert to date\ntrading_liquidity['date'] = trading_liquidity['time'].dt.date\n\n# sort by datetime\ntrading_liquidity = trading_liquidity.sort_values('time', ascending=False)\n\n# keep only needed columns\ntrading_liquidity = trading_liquidity[[\n    'blocknumber', \n    'date', \n    'poolSymbol', \n    'tknTradingLiquidity_real', \n    'bntTradingLiquidity_real', \n    'spotRate', \n    'price'\n]]\n\ntrading_liquidity = trading_liquidity.rename({'poolSymbol':'targetSymbol'}, axis=1)\ntrading_liquidity"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"Events - poolcollection_tradingliquidityupdated_spotrates","showTitle":true,"inputWidgets":{},"nuid":"de7d552c-ad83-4638-9979-c5d374327bfd"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[4]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[4]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>490763</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>temp</td>\n      <td>4.063618e+05</td>\n      <td>3.579333e+04</td>\n      <td>0.088082</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490726</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>reth</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490737</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>mfg</td>\n      <td>1.395533e+06</td>\n      <td>2.531836e+04</td>\n      <td>0.018142</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490736</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490735</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>mkr</td>\n      <td>4.071976e+01</td>\n      <td>7.632130e+04</td>\n      <td>1874.306453</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14623208</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1.486048e+01</td>\n      <td>2.000000e+04</td>\n      <td>1345.851528</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>14623208</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>4.580000e+04</td>\n      <td>2.000000e+04</td>\n      <td>0.436681</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14623206</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>4.580000e+04</td>\n      <td>2.000000e+04</td>\n      <td>0.436681</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14623206</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1.486048e+01</td>\n      <td>2.000000e+04</td>\n      <td>1345.851528</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>14623202</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1.486048e+01</td>\n      <td>2.000000e+04</td>\n      <td>1345.851528</td>\n      <td>2.2800</td>\n    </tr>\n  </tbody>\n</table>\n<p>490764 rows × 7 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>490763</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>temp</td>\n      <td>4.063618e+05</td>\n      <td>3.579333e+04</td>\n      <td>0.088082</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490726</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>reth</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490737</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>mfg</td>\n      <td>1.395533e+06</td>\n      <td>2.531836e+04</td>\n      <td>0.018142</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490736</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>490735</th>\n      <td>15136844</td>\n      <td>2022-07-13</td>\n      <td>mkr</td>\n      <td>4.071976e+01</td>\n      <td>7.632130e+04</td>\n      <td>1874.306453</td>\n      <td>0.4518</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14623208</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1.486048e+01</td>\n      <td>2.000000e+04</td>\n      <td>1345.851528</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>14623208</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>4.580000e+04</td>\n      <td>2.000000e+04</td>\n      <td>0.436681</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14623206</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>4.580000e+04</td>\n      <td>2.000000e+04</td>\n      <td>0.436681</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14623206</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1.486048e+01</td>\n      <td>2.000000e+04</td>\n      <td>1345.851528</td>\n      <td>2.2800</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>14623202</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1.486048e+01</td>\n      <td>2.000000e+04</td>\n      <td>1345.851528</td>\n      <td>2.2800</td>\n    </tr>\n  </tbody>\n</table>\n<p>490764 rows × 7 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["events_bancornetwork_tokenstraded_updated_csv = spark.sql('select * from default.events_bancornetwork_tokenstraded_updated_csv')\nevents_bancornetwork_tokenstraded_updated_csv = events_bancornetwork_tokenstraded_updated_csv.toPandas()\n\ntrade_count = events_bancornetwork_tokenstraded_updated_csv.groupby(['blocknumber', 'targetSymbol'])[[\n    'sourceAmount_real']].count()\ntrade_count = trade_count.reset_index()\ntrade_count = trade_count.rename({'sourceAmount_real':'trade_count'}, axis=1)\ntrade_count"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"Events - tokenstraded_updated","showTitle":true,"inputWidgets":{},"nuid":"a103bbfe-6824-402d-bda1-07bd5ebd7339"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[2]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[2]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>14623625</td>\n      <td>dai</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14623992</td>\n      <td>dai</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14624215</td>\n      <td>dai</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14628426</td>\n      <td>bnt</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>14628429</td>\n      <td>bnt</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>17641</th>\n      <td>15253029</td>\n      <td>wbtc</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17642</th>\n      <td>15253034</td>\n      <td>usdc</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17643</th>\n      <td>15253080</td>\n      <td>woo</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17644</th>\n      <td>15253095</td>\n      <td>wnxm</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17645</th>\n      <td>15253096</td>\n      <td>wnxm</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>17646 rows × 3 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>14623625</td>\n      <td>dai</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14623992</td>\n      <td>dai</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14624215</td>\n      <td>dai</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14628426</td>\n      <td>bnt</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>14628429</td>\n      <td>bnt</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>17641</th>\n      <td>15253029</td>\n      <td>wbtc</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17642</th>\n      <td>15253034</td>\n      <td>usdc</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17643</th>\n      <td>15253080</td>\n      <td>woo</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17644</th>\n      <td>15253095</td>\n      <td>wnxm</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>17645</th>\n      <td>15253096</td>\n      <td>wnxm</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>17646 rows × 3 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["trade_count['trade_count'].unique()"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"b1b5c8c8-24b1-404d-b015-e0ac6d93a860"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[3]: array([1, 2, 3, 4, 5, 6])</div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[3]: array([1, 2, 3, 4, 5, 6])</div>"]}}],"execution_count":0},{"cell_type":"code","source":["daily_trades = spark.sql('select * from default.events_combined_tokenstraded_daily_parquet')\ndaily_trades = daily_trades.toPandas()\ndaily_trades"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"Events - combined_tokenstraded_daily","showTitle":true,"inputWidgets":{},"nuid":"49443bb8-0ef4-4776-988a-ab7f88382b7b"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[5]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[5]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time</th>\n      <th>v2_totalVolume_real</th>\n      <th>v2_totalVolume_real_bnt</th>\n      <th>v2_totalVolume_real_usd</th>\n      <th>v2_daily_tx_count</th>\n      <th>v2_daily_trade_count</th>\n      <th>v2_average_trade_size_usd</th>\n      <th>poolSymbol</th>\n      <th>v2_targetFeeAmount_real</th>\n      <th>v2_targetFeeAmount_real_bnt</th>\n      <th>v2_targetFeeAmount_real_usd</th>\n      <th>v2_actualTotalFees_real_usd</th>\n      <th>v2_average_fee_size_usd</th>\n      <th>v3_totalVolume_real</th>\n      <th>v3_totalVolume_real_bnt</th>\n      <th>v3_totalVolume_real_usd</th>\n      <th>v3_daily_tx_count</th>\n      <th>v3_daily_trade_count</th>\n      <th>v3_average_trade_size_usd</th>\n      <th>v3_targetFeeAmount_real</th>\n      <th>v3_targetFeeAmount_real_bnt</th>\n      <th>v3_targetFeeAmount_real_usd</th>\n      <th>v3_actualTotalFees_real_usd</th>\n      <th>v3_average_fee_size_usd</th>\n      <th>__index_level_0__</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-01-01</td>\n      <td>4608.848378164935710148</td>\n      <td>7918.322504058137920432</td>\n      <td>26094.030114</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>13047.015057</td>\n      <td>aave</td>\n      <td>0.085072813908422931</td>\n      <td>6.717285491049108675</td>\n      <td>22.368560</td>\n      <td>22.368560</td>\n      <td>11.184280</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-01-01</td>\n      <td>6.564457235883314658</td>\n      <td>595.929884372800288980</td>\n      <td>1975.000389</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>987.5001945</td>\n      <td>alcx</td>\n      <td>0.013155224921609848</td>\n      <td>1.194248265276152793</td>\n      <td>3.957916</td>\n      <td>3.957916</td>\n      <td>1.978958</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-01-01</td>\n      <td>15902.227692357448998316</td>\n      <td>3207.420806078097003823</td>\n      <td>10501.222684</td>\n      <td>7.0</td>\n      <td>7</td>\n      <td>1500.174669142857142857142857</td>\n      <td>aleph</td>\n      <td>30.879845332313141268</td>\n      <td>5.439350570230271541</td>\n      <td>17.812639</td>\n      <td>17.812639</td>\n      <td>2.544662714285714285714285714</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-01-01</td>\n      <td>55643.000302957741468749</td>\n      <td>16164.000437033041199509</td>\n      <td>52745.909153</td>\n      <td>4.0</td>\n      <td>4</td>\n      <td>13186.47728825</td>\n      <td>alpha</td>\n      <td>99.758439526533671688</td>\n      <td>20.642207330291787381</td>\n      <td>67.281648</td>\n      <td>67.281648</td>\n      <td>16.820412</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-01-01</td>\n      <td>6289.525366749284234357</td>\n      <td>6289.525366749284234357</td>\n      <td>20692.538456</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>20692.538456</td>\n      <td>amp</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>21219</th>\n      <td>2022-07-23</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>vbnt</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>52270.307171814508909929</td>\n      <td>47149.68660825069492776345844</td>\n      <td>23881.13442069795089184057134</td>\n      <td>7.0</td>\n      <td>7</td>\n      <td>1695.485845923437346648596443</td>\n      <td>435.866736553418881934</td>\n      <td>356.8381934185755298295650850</td>\n      <td>180.7370698700110877124994117</td>\n      <td>181.4448845649799400245349117</td>\n      <td>25.9206977949971342892192731</td>\n      <td>21219</td>\n    </tr>\n    <tr>\n      <th>21220</th>\n      <td>2022-08-01</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>vbnt</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8984.007389347564329533</td>\n      <td>8189.023526367364629562669387</td>\n      <td>4625.160487692287542776995670</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>2298.735793393418233691474070</td>\n      <td>74.086043104193075602</td>\n      <td>61.97968986083978067859726802</td>\n      <td>35.00612883340230812727173698</td>\n      <td>35.00612883340230812727173698</td>\n      <td>35.00612883340230812727173698</td>\n      <td>21220</td>\n    </tr>\n    <tr>\n      <th>21221</th>\n      <td>2022-07-27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>wnxm</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1806.441323378191226103</td>\n      <td>25393.69701819452008327895821</td>\n      <td>12829.19713691181335857905933</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>3202.751627747802830774644422</td>\n      <td>4.251678063239722136</td>\n      <td>128.0614773553445423741899562</td>\n      <td>64.70205308581419858887833340</td>\n      <td>88.64952164745429816059353338</td>\n      <td>44.32476082372714908029676669</td>\n      <td>21221</td>\n    </tr>\n    <tr>\n      <th>21222</th>\n      <td>2022-07-21</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>wsteth</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4660.962833978745278730</td>\n      <td>559.5333854480719568705104399</td>\n      <td>290.3978270475493456157949183</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>147.0234727415913692791695221</td>\n      <td>0.000177416210343904</td>\n      <td>0.5676998418478215459146589231</td>\n      <td>0.2946362179190193823297079811</td>\n      <td>0.5861906219848937747647079810</td>\n      <td>0.5861906219848937747647079810</td>\n      <td>21222</td>\n    </tr>\n    <tr>\n      <th>21223</th>\n      <td>2022-07-27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>wsteth</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>496.847404475920428868</td>\n      <td>2073.617365768558751147740828</td>\n      <td>1041.169950354220062581534564</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>265.2963295227463087231965464</td>\n      <td>0.000649874057830526</td>\n      <td>2.117202641561095917136017151</td>\n      <td>1.063311941974933449183849550</td>\n      <td>1.715721633697740271905449550</td>\n      <td>0.857860816848870135952724775</td>\n      <td>21223</td>\n    </tr>\n  </tbody>\n</table>\n<p>21224 rows × 25 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time</th>\n      <th>v2_totalVolume_real</th>\n      <th>v2_totalVolume_real_bnt</th>\n      <th>v2_totalVolume_real_usd</th>\n      <th>v2_daily_tx_count</th>\n      <th>v2_daily_trade_count</th>\n      <th>v2_average_trade_size_usd</th>\n      <th>poolSymbol</th>\n      <th>v2_targetFeeAmount_real</th>\n      <th>v2_targetFeeAmount_real_bnt</th>\n      <th>v2_targetFeeAmount_real_usd</th>\n      <th>v2_actualTotalFees_real_usd</th>\n      <th>v2_average_fee_size_usd</th>\n      <th>v3_totalVolume_real</th>\n      <th>v3_totalVolume_real_bnt</th>\n      <th>v3_totalVolume_real_usd</th>\n      <th>v3_daily_tx_count</th>\n      <th>v3_daily_trade_count</th>\n      <th>v3_average_trade_size_usd</th>\n      <th>v3_targetFeeAmount_real</th>\n      <th>v3_targetFeeAmount_real_bnt</th>\n      <th>v3_targetFeeAmount_real_usd</th>\n      <th>v3_actualTotalFees_real_usd</th>\n      <th>v3_average_fee_size_usd</th>\n      <th>__index_level_0__</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-01-01</td>\n      <td>4608.848378164935710148</td>\n      <td>7918.322504058137920432</td>\n      <td>26094.030114</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>13047.015057</td>\n      <td>aave</td>\n      <td>0.085072813908422931</td>\n      <td>6.717285491049108675</td>\n      <td>22.368560</td>\n      <td>22.368560</td>\n      <td>11.184280</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-01-01</td>\n      <td>6.564457235883314658</td>\n      <td>595.929884372800288980</td>\n      <td>1975.000389</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>987.5001945</td>\n      <td>alcx</td>\n      <td>0.013155224921609848</td>\n      <td>1.194248265276152793</td>\n      <td>3.957916</td>\n      <td>3.957916</td>\n      <td>1.978958</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-01-01</td>\n      <td>15902.227692357448998316</td>\n      <td>3207.420806078097003823</td>\n      <td>10501.222684</td>\n      <td>7.0</td>\n      <td>7</td>\n      <td>1500.174669142857142857142857</td>\n      <td>aleph</td>\n      <td>30.879845332313141268</td>\n      <td>5.439350570230271541</td>\n      <td>17.812639</td>\n      <td>17.812639</td>\n      <td>2.544662714285714285714285714</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-01-01</td>\n      <td>55643.000302957741468749</td>\n      <td>16164.000437033041199509</td>\n      <td>52745.909153</td>\n      <td>4.0</td>\n      <td>4</td>\n      <td>13186.47728825</td>\n      <td>alpha</td>\n      <td>99.758439526533671688</td>\n      <td>20.642207330291787381</td>\n      <td>67.281648</td>\n      <td>67.281648</td>\n      <td>16.820412</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-01-01</td>\n      <td>6289.525366749284234357</td>\n      <td>6289.525366749284234357</td>\n      <td>20692.538456</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>20692.538456</td>\n      <td>amp</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>21219</th>\n      <td>2022-07-23</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>vbnt</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>52270.307171814508909929</td>\n      <td>47149.68660825069492776345844</td>\n      <td>23881.13442069795089184057134</td>\n      <td>7.0</td>\n      <td>7</td>\n      <td>1695.485845923437346648596443</td>\n      <td>435.866736553418881934</td>\n      <td>356.8381934185755298295650850</td>\n      <td>180.7370698700110877124994117</td>\n      <td>181.4448845649799400245349117</td>\n      <td>25.9206977949971342892192731</td>\n      <td>21219</td>\n    </tr>\n    <tr>\n      <th>21220</th>\n      <td>2022-08-01</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>vbnt</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8984.007389347564329533</td>\n      <td>8189.023526367364629562669387</td>\n      <td>4625.160487692287542776995670</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>2298.735793393418233691474070</td>\n      <td>74.086043104193075602</td>\n      <td>61.97968986083978067859726802</td>\n      <td>35.00612883340230812727173698</td>\n      <td>35.00612883340230812727173698</td>\n      <td>35.00612883340230812727173698</td>\n      <td>21220</td>\n    </tr>\n    <tr>\n      <th>21221</th>\n      <td>2022-07-27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>wnxm</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1806.441323378191226103</td>\n      <td>25393.69701819452008327895821</td>\n      <td>12829.19713691181335857905933</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>3202.751627747802830774644422</td>\n      <td>4.251678063239722136</td>\n      <td>128.0614773553445423741899562</td>\n      <td>64.70205308581419858887833340</td>\n      <td>88.64952164745429816059353338</td>\n      <td>44.32476082372714908029676669</td>\n      <td>21221</td>\n    </tr>\n    <tr>\n      <th>21222</th>\n      <td>2022-07-21</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>wsteth</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4660.962833978745278730</td>\n      <td>559.5333854480719568705104399</td>\n      <td>290.3978270475493456157949183</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>147.0234727415913692791695221</td>\n      <td>0.000177416210343904</td>\n      <td>0.5676998418478215459146589231</td>\n      <td>0.2946362179190193823297079811</td>\n      <td>0.5861906219848937747647079810</td>\n      <td>0.5861906219848937747647079810</td>\n      <td>21222</td>\n    </tr>\n    <tr>\n      <th>21223</th>\n      <td>2022-07-27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>wsteth</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>496.847404475920428868</td>\n      <td>2073.617365768558751147740828</td>\n      <td>1041.169950354220062581534564</td>\n      <td>2.0</td>\n      <td>2</td>\n      <td>265.2963295227463087231965464</td>\n      <td>0.000649874057830526</td>\n      <td>2.117202641561095917136017151</td>\n      <td>1.063311941974933449183849550</td>\n      <td>1.715721633697740271905449550</td>\n      <td>0.857860816848870135952724775</td>\n      <td>21223</td>\n    </tr>\n  </tbody>\n</table>\n<p>21224 rows × 25 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["events_bancornetwork_tokenstraded_updated_csv = spark.sql('select * from default.events_bancornetwork_tokenstraded_updated_csv')\nevents_bancornetwork_tokenstraded_updated_csv = events_bancornetwork_tokenstraded_updated_csv.toPandas()\nevents_bancornetwork_tokenstraded_updated_csv['date'] = events_bancornetwork_tokenstraded_updated_csv['time'].dt.date\n\ntrade_revenue = events_bancornetwork_tokenstraded_updated_csv.groupby(['date', 'targetSymbol'])[[\n    'sourceAmount_real', \n    'sourceAmount_real_usd', \n    'targetAmount_real', \n    'targetAmount_real_usd', \n    'targetFeeAmount_real',\n    'targetFeeAmount_real_usd']].sum()\n\ntrade_revenue = trade_revenue.reset_index()\ntrade_revenue = trade_revenue.rename({'targetFeeAmount_real':'trade_revenue_real',\n                                      'targetFeeAmount_real_usd':'trade_revenue_usd'}, axis=1)\ntrade_revenue"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"29788b8c-fa3f-4010-aec9-9e7a7c270702"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">/databricks/spark/python/pyspark/sql/pandas/utils.py:79: UserWarning: The conversion of DecimalType columns is inefficient and may take a long time. Column names: [sourceAmount, targetAmount, bntAmount, targetFeeAmount, bntFeeAmount] If those columns are not necessary, you may consider dropping them or converting to primitive types before the conversion.\n  warnings.warn(\nOut[68]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">/databricks/spark/python/pyspark/sql/pandas/utils.py:79: UserWarning: The conversion of DecimalType columns is inefficient and may take a long time. Column names: [sourceAmount, targetAmount, bntAmount, targetFeeAmount, bntFeeAmount] If those columns are not necessary, you may consider dropping them or converting to primitive types before the conversion.\n  warnings.warn(\nOut[68]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>0.002225</td>\n      <td>7.005821</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>0.001000</td>\n      <td>3.027553</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>0.856470</td>\n      <td>2496.187159</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1796</th>\n      <td>2022-07-31</td>\n      <td>wbtc</td>\n      <td>116717.873292</td>\n      <td>62546.179165</td>\n      <td>2.637393</td>\n      <td>62402.531087</td>\n      <td>0.005285</td>\n      <td>125.052651</td>\n    </tr>\n    <tr>\n      <th>1797</th>\n      <td>2022-07-31</td>\n      <td>wnxm</td>\n      <td>119062.457517</td>\n      <td>119188.163998</td>\n      <td>5622.047552</td>\n      <td>118663.693036</td>\n      <td>56.788359</td>\n      <td>1198.623162</td>\n    </tr>\n    <tr>\n      <th>1798</th>\n      <td>2022-07-31</td>\n      <td>woo</td>\n      <td>64690.343936</td>\n      <td>54149.251861</td>\n      <td>235042.606679</td>\n      <td>54043.104665</td>\n      <td>471.027268</td>\n      <td>108.302815</td>\n    </tr>\n    <tr>\n      <th>1799</th>\n      <td>2022-07-31</td>\n      <td>yfi</td>\n      <td>24847.736556</td>\n      <td>2877.613971</td>\n      <td>0.237586</td>\n      <td>2885.977492</td>\n      <td>0.000476</td>\n      <td>5.783522</td>\n    </tr>\n    <tr>\n      <th>1800</th>\n      <td>2022-07-31</td>\n      <td>zcn</td>\n      <td>1918.903651</td>\n      <td>1026.620672</td>\n      <td>5223.585262</td>\n      <td>1028.945523</td>\n      <td>26.249172</td>\n      <td>5.170581</td>\n    </tr>\n  </tbody>\n</table>\n<p>1801 rows × 8 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>0.002225</td>\n      <td>7.005821</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>0.001000</td>\n      <td>3.027553</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>0.856470</td>\n      <td>2496.187159</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1796</th>\n      <td>2022-07-31</td>\n      <td>wbtc</td>\n      <td>116717.873292</td>\n      <td>62546.179165</td>\n      <td>2.637393</td>\n      <td>62402.531087</td>\n      <td>0.005285</td>\n      <td>125.052651</td>\n    </tr>\n    <tr>\n      <th>1797</th>\n      <td>2022-07-31</td>\n      <td>wnxm</td>\n      <td>119062.457517</td>\n      <td>119188.163998</td>\n      <td>5622.047552</td>\n      <td>118663.693036</td>\n      <td>56.788359</td>\n      <td>1198.623162</td>\n    </tr>\n    <tr>\n      <th>1798</th>\n      <td>2022-07-31</td>\n      <td>woo</td>\n      <td>64690.343936</td>\n      <td>54149.251861</td>\n      <td>235042.606679</td>\n      <td>54043.104665</td>\n      <td>471.027268</td>\n      <td>108.302815</td>\n    </tr>\n    <tr>\n      <th>1799</th>\n      <td>2022-07-31</td>\n      <td>yfi</td>\n      <td>24847.736556</td>\n      <td>2877.613971</td>\n      <td>0.237586</td>\n      <td>2885.977492</td>\n      <td>0.000476</td>\n      <td>5.783522</td>\n    </tr>\n    <tr>\n      <th>1800</th>\n      <td>2022-07-31</td>\n      <td>zcn</td>\n      <td>1918.903651</td>\n      <td>1026.620672</td>\n      <td>5223.585262</td>\n      <td>1028.945523</td>\n      <td>26.249172</td>\n      <td>5.170581</td>\n    </tr>\n  </tbody>\n</table>\n<p>1801 rows × 8 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["trades_by_tkn = trade_count.merge(trade_revenue, on=['date', 'targetSymbol'])\ntrades_by_tkn"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ea4534d8-54ea-48a0-ab89-2d98701a0083"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[69]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[69]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>3</td>\n      <td>0.002225</td>\n      <td>7.005821</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>0.001000</td>\n      <td>3.027553</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>0.856470</td>\n      <td>2496.187159</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1796</th>\n      <td>2022-07-31</td>\n      <td>wbtc</td>\n      <td>22</td>\n      <td>116717.873292</td>\n      <td>62546.179165</td>\n      <td>2.637393</td>\n      <td>62402.531087</td>\n      <td>0.005285</td>\n      <td>125.052651</td>\n    </tr>\n    <tr>\n      <th>1797</th>\n      <td>2022-07-31</td>\n      <td>wnxm</td>\n      <td>51</td>\n      <td>119062.457517</td>\n      <td>119188.163998</td>\n      <td>5622.047552</td>\n      <td>118663.693036</td>\n      <td>56.788359</td>\n      <td>1198.623162</td>\n    </tr>\n    <tr>\n      <th>1798</th>\n      <td>2022-07-31</td>\n      <td>woo</td>\n      <td>29</td>\n      <td>64690.343936</td>\n      <td>54149.251861</td>\n      <td>235042.606679</td>\n      <td>54043.104665</td>\n      <td>471.027268</td>\n      <td>108.302815</td>\n    </tr>\n    <tr>\n      <th>1799</th>\n      <td>2022-07-31</td>\n      <td>yfi</td>\n      <td>6</td>\n      <td>24847.736556</td>\n      <td>2877.613971</td>\n      <td>0.237586</td>\n      <td>2885.977492</td>\n      <td>0.000476</td>\n      <td>5.783522</td>\n    </tr>\n    <tr>\n      <th>1800</th>\n      <td>2022-07-31</td>\n      <td>zcn</td>\n      <td>2</td>\n      <td>1918.903651</td>\n      <td>1026.620672</td>\n      <td>5223.585262</td>\n      <td>1028.945523</td>\n      <td>26.249172</td>\n      <td>5.170581</td>\n    </tr>\n  </tbody>\n</table>\n<p>1801 rows × 9 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-21</td>\n      <td>bnt</td>\n      <td>3</td>\n      <td>0.002225</td>\n      <td>7.005821</td>\n      <td>2.987996</td>\n      <td>6.991911</td>\n      <td>0.005988</td>\n      <td>0.014012</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-22</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>0.001000</td>\n      <td>3.027553</td>\n      <td>1.342914</td>\n      <td>3.021557</td>\n      <td>0.002691</td>\n      <td>0.006055</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-23</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>0.856470</td>\n      <td>2496.187159</td>\n      <td>1136.475338</td>\n      <td>2511.610497</td>\n      <td>2.277506</td>\n      <td>5.033288</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1796</th>\n      <td>2022-07-31</td>\n      <td>wbtc</td>\n      <td>22</td>\n      <td>116717.873292</td>\n      <td>62546.179165</td>\n      <td>2.637393</td>\n      <td>62402.531087</td>\n      <td>0.005285</td>\n      <td>125.052651</td>\n    </tr>\n    <tr>\n      <th>1797</th>\n      <td>2022-07-31</td>\n      <td>wnxm</td>\n      <td>51</td>\n      <td>119062.457517</td>\n      <td>119188.163998</td>\n      <td>5622.047552</td>\n      <td>118663.693036</td>\n      <td>56.788359</td>\n      <td>1198.623162</td>\n    </tr>\n    <tr>\n      <th>1798</th>\n      <td>2022-07-31</td>\n      <td>woo</td>\n      <td>29</td>\n      <td>64690.343936</td>\n      <td>54149.251861</td>\n      <td>235042.606679</td>\n      <td>54043.104665</td>\n      <td>471.027268</td>\n      <td>108.302815</td>\n    </tr>\n    <tr>\n      <th>1799</th>\n      <td>2022-07-31</td>\n      <td>yfi</td>\n      <td>6</td>\n      <td>24847.736556</td>\n      <td>2877.613971</td>\n      <td>0.237586</td>\n      <td>2885.977492</td>\n      <td>0.000476</td>\n      <td>5.783522</td>\n    </tr>\n    <tr>\n      <th>1800</th>\n      <td>2022-07-31</td>\n      <td>zcn</td>\n      <td>2</td>\n      <td>1918.903651</td>\n      <td>1026.620672</td>\n      <td>5223.585262</td>\n      <td>1028.945523</td>\n      <td>26.249172</td>\n      <td>5.170581</td>\n    </tr>\n  </tbody>\n</table>\n<p>1801 rows × 9 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["deficit_by_tkn = spark.sql('select * from default.events_v3_historical_deficit_by_tkn_csv')\ndeficit_by_tkn = deficit_by_tkn.toPandas()\ndeficit_by_tkn = deficit_by_tkn.rename({'time': 'date', 'poolSymbol':'targetSymbol'}, axis=1)\ndeficit_by_tkn = deficit_by_tkn.drop(['_c0', 'bntprice'], axis=1)\ndeficit_by_tkn"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":true,"inputWidgets":{},"nuid":"70d33053-89d7-44ea-9b9d-365ad3229cc8"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[10]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[10]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>targetSymbol</th>\n      <th>blocknumber</th>\n      <th>date</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>dai</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>eth</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>3.000000e-03</td>\n      <td>4.037251e+00</td>\n      <td>9.272204e+00</td>\n      <td>0.000053</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>link</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>bnt</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>-6.862458e-03</td>\n      <td>-6.862458e-03</td>\n      <td>-1.576075e-02</td>\n      <td>-0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>dai</td>\n      <td>14631356</td>\n      <td>2022-04-21</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.200929e+00</td>\n      <td>-0.000036</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4803</th>\n      <td>wsteth</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-8.002986e-01</td>\n      <td>-2.578723e+03</td>\n      <td>-1.455777e+03</td>\n      <td>-0.044810</td>\n    </tr>\n    <tr>\n      <th>4804</th>\n      <td>wxt</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-7.305932e+04</td>\n      <td>-0.000000e+00</td>\n      <td>-0.000000e+00</td>\n      <td>-0.755542</td>\n    </tr>\n    <tr>\n      <th>4805</th>\n      <td>yfi</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n    </tr>\n    <tr>\n      <th>4806</th>\n      <td>zcn</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-5.653728e+05</td>\n      <td>-2.004780e+05</td>\n      <td>-1.131767e+05</td>\n      <td>-0.623519</td>\n    </tr>\n    <tr>\n      <th>4807</th>\n      <td>bnt</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>4.081710e+07</td>\n      <td>4.081710e+07</td>\n      <td>2.304265e+07</td>\n      <td>0.934543</td>\n    </tr>\n  </tbody>\n</table>\n<p>4808 rows × 7 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>targetSymbol</th>\n      <th>blocknumber</th>\n      <th>date</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>dai</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>eth</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>3.000000e-03</td>\n      <td>4.037251e+00</td>\n      <td>9.272204e+00</td>\n      <td>0.000053</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>link</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>bnt</td>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>-6.862458e-03</td>\n      <td>-6.862458e-03</td>\n      <td>-1.576075e-02</td>\n      <td>-0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>dai</td>\n      <td>14631356</td>\n      <td>2022-04-21</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.200929e+00</td>\n      <td>-0.000036</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4803</th>\n      <td>wsteth</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-8.002986e-01</td>\n      <td>-2.578723e+03</td>\n      <td>-1.455777e+03</td>\n      <td>-0.044810</td>\n    </tr>\n    <tr>\n      <th>4804</th>\n      <td>wxt</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-7.305932e+04</td>\n      <td>-0.000000e+00</td>\n      <td>-0.000000e+00</td>\n      <td>-0.755542</td>\n    </tr>\n    <tr>\n      <th>4805</th>\n      <td>yfi</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n    </tr>\n    <tr>\n      <th>4806</th>\n      <td>zcn</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>-5.653728e+05</td>\n      <td>-2.004780e+05</td>\n      <td>-1.131767e+05</td>\n      <td>-0.623519</td>\n    </tr>\n    <tr>\n      <th>4807</th>\n      <td>bnt</td>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>4.081710e+07</td>\n      <td>4.081710e+07</td>\n      <td>2.304265e+07</td>\n      <td>0.934543</td>\n    </tr>\n  </tbody>\n</table>\n<p>4808 rows × 7 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["spot_rates['blocknumber']=spot_rates['blocknumber'].astype(int)\ndeficit_by_tkn['blocknumber']=deficit_by_tkn['blocknumber'].astype(int)\n\ndf = spot_rates.merge(deficit_by_tkn, on=['blocknumber', 'targetSymbol'])\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"98b71b8f-38ca-4327-bf09-7ba0b9506efa"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[14]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[14]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>time</th>\n      <th>targetSymbol</th>\n      <th>spotRate</th>\n      <th>emaRate</th>\n      <th>bntprice</th>\n      <th>spotRate_usd</th>\n      <th>emaRate_usd</th>\n      <th>date</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036819938</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2966630695016823</td>\n      <td>1.002984982026035027163148242</td>\n      <td>1.002984982026035027163138169</td>\n      <td>2022-04-20</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1345.750198415145197216429676</td>\n      <td>1345.750198415145197206623839</td>\n      <td>2.2966630695016823</td>\n      <td>3090.734781474625359486062034</td>\n      <td>3090.734781474625359463541331</td>\n      <td>2022-04-20</td>\n      <td>3.000000e-03</td>\n      <td>4.037251e+00</td>\n      <td>9.272204e+00</td>\n      <td>0.000053</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>link</td>\n      <td>6.078602620087336244542068687</td>\n      <td>6.078602620087336244541484716</td>\n      <td>2.2966630695016823</td>\n      <td>13.96050215173075005065636302</td>\n      <td>13.96050215173075005065502183</td>\n      <td>2022-04-20</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n      <td>2022-04-20</td>\n      <td>-6.862458e-03</td>\n      <td>-6.862458e-03</td>\n      <td>-1.576075e-02</td>\n      <td>-0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>14631356</td>\n      <td>2022-04-21</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036796103</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2848382209601885</td>\n      <td>0.9978209047787685848131251028</td>\n      <td>0.9978209047787685848131205279</td>\n      <td>2022-04-21</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.200929e+00</td>\n      <td>-0.000036</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4803</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>wsteth</td>\n      <td>3150.605438862183002349325071</td>\n      <td>3222.200955037924168430422691</td>\n      <td>0.5645341821237347</td>\n      <td>1778.624464622652710761560862</td>\n      <td>1819.042580790651367914229933</td>\n      <td>2022-07-30</td>\n      <td>-8.002986e-01</td>\n      <td>-2.578723e+03</td>\n      <td>-1.455777e+03</td>\n      <td>-0.044810</td>\n    </tr>\n    <tr>\n      <th>4804</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>wxt</td>\n      <td>0</td>\n      <td>0E+18</td>\n      <td>0.5645341821237347</td>\n      <td>0E-16</td>\n      <td>0E+2</td>\n      <td>2022-07-30</td>\n      <td>-7.305932e+04</td>\n      <td>-0.000000e+00</td>\n      <td>-0.000000e+00</td>\n      <td>-0.755542</td>\n    </tr>\n    <tr>\n      <th>4805</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>yfi</td>\n      <td>20385.06877607308056637746287</td>\n      <td>20005.58997148066921845637283</td>\n      <td>0.5645341821237347</td>\n      <td>11508.06812903649807924676751</td>\n      <td>11293.83937245262859949801690</td>\n      <td>2022-07-30</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n    </tr>\n    <tr>\n      <th>4806</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>zcn</td>\n      <td>0.3511248714015129636705823229</td>\n      <td>0.3545943465946885433009921828</td>\n      <td>0.5645341821237347</td>\n      <td>0.1982219920999546451335726952</td>\n      <td>0.2001806294405326074347870102</td>\n      <td>2022-07-30</td>\n      <td>-5.653728e+05</td>\n      <td>-2.004780e+05</td>\n      <td>-1.131767e+05</td>\n      <td>-0.623519</td>\n    </tr>\n    <tr>\n      <th>4807</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0.5645341821237347</td>\n      <td>0.5645341821237347</td>\n      <td>0.5645341821237347</td>\n      <td>2022-07-30</td>\n      <td>4.081710e+07</td>\n      <td>4.081710e+07</td>\n      <td>2.304265e+07</td>\n      <td>0.934543</td>\n    </tr>\n  </tbody>\n</table>\n<p>4808 rows × 13 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>blocknumber</th>\n      <th>time</th>\n      <th>targetSymbol</th>\n      <th>spotRate</th>\n      <th>emaRate</th>\n      <th>bntprice</th>\n      <th>spotRate_usd</th>\n      <th>emaRate_usd</th>\n      <th>date</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036819938</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2966630695016823</td>\n      <td>1.002984982026035027163148242</td>\n      <td>1.002984982026035027163138169</td>\n      <td>2022-04-20</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>eth</td>\n      <td>1345.750198415145197216429676</td>\n      <td>1345.750198415145197206623839</td>\n      <td>2.2966630695016823</td>\n      <td>3090.734781474625359486062034</td>\n      <td>3090.734781474625359463541331</td>\n      <td>2022-04-20</td>\n      <td>3.000000e-03</td>\n      <td>4.037251e+00</td>\n      <td>9.272204e+00</td>\n      <td>0.000053</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>link</td>\n      <td>6.078602620087336244542068687</td>\n      <td>6.078602620087336244541484716</td>\n      <td>2.2966630695016823</td>\n      <td>13.96050215173075005065636302</td>\n      <td>13.96050215173075005065502183</td>\n      <td>2022-04-20</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>14625066</td>\n      <td>2022-04-20</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n      <td>2.2966630695016823</td>\n      <td>2022-04-20</td>\n      <td>-6.862458e-03</td>\n      <td>-6.862458e-03</td>\n      <td>-1.576075e-02</td>\n      <td>-0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>14631356</td>\n      <td>2022-04-21</td>\n      <td>dai</td>\n      <td>0.4367140288643459389036796103</td>\n      <td>0.4367140288643459389036776080</td>\n      <td>2.2848382209601885</td>\n      <td>0.9978209047787685848131251028</td>\n      <td>0.9978209047787685848131205279</td>\n      <td>2022-04-21</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.200929e+00</td>\n      <td>-0.000036</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4803</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>wsteth</td>\n      <td>3150.605438862183002349325071</td>\n      <td>3222.200955037924168430422691</td>\n      <td>0.5645341821237347</td>\n      <td>1778.624464622652710761560862</td>\n      <td>1819.042580790651367914229933</td>\n      <td>2022-07-30</td>\n      <td>-8.002986e-01</td>\n      <td>-2.578723e+03</td>\n      <td>-1.455777e+03</td>\n      <td>-0.044810</td>\n    </tr>\n    <tr>\n      <th>4804</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>wxt</td>\n      <td>0</td>\n      <td>0E+18</td>\n      <td>0.5645341821237347</td>\n      <td>0E-16</td>\n      <td>0E+2</td>\n      <td>2022-07-30</td>\n      <td>-7.305932e+04</td>\n      <td>-0.000000e+00</td>\n      <td>-0.000000e+00</td>\n      <td>-0.755542</td>\n    </tr>\n    <tr>\n      <th>4805</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>yfi</td>\n      <td>20385.06877607308056637746287</td>\n      <td>20005.58997148066921845637283</td>\n      <td>0.5645341821237347</td>\n      <td>11508.06812903649807924676751</td>\n      <td>11293.83937245262859949801690</td>\n      <td>2022-07-30</td>\n      <td>-1.200985e+00</td>\n      <td>-2.402642e+04</td>\n      <td>-1.356373e+04</td>\n      <td>-0.202276</td>\n    </tr>\n    <tr>\n      <th>4806</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>zcn</td>\n      <td>0.3511248714015129636705823229</td>\n      <td>0.3545943465946885433009921828</td>\n      <td>0.5645341821237347</td>\n      <td>0.1982219920999546451335726952</td>\n      <td>0.2001806294405326074347870102</td>\n      <td>2022-07-30</td>\n      <td>-5.653728e+05</td>\n      <td>-2.004780e+05</td>\n      <td>-1.131767e+05</td>\n      <td>-0.623519</td>\n    </tr>\n    <tr>\n      <th>4807</th>\n      <td>15246902</td>\n      <td>2022-07-30</td>\n      <td>bnt</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0.5645341821237347</td>\n      <td>0.5645341821237347</td>\n      <td>0.5645341821237347</td>\n      <td>2022-07-30</td>\n      <td>4.081710e+07</td>\n      <td>4.081710e+07</td>\n      <td>2.304265e+07</td>\n      <td>0.934543</td>\n    </tr>\n  </tbody>\n</table>\n<p>4808 rows × 13 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["import pandas as pd\n\ndeficit_by_tkn['date'] = pd.to_datetime(deficit_by_tkn['date']).dt.date\ntrades_by_tkn['date'] = pd.to_datetime(trades_by_tkn['date']).dt.date\ntotal_liquidity['date'] = pd.to_datetime(total_liquidity['date']).dt.date\ntrading_liquidity['date'] = pd.to_datetime(trading_liquidity['date']).dt.date\n\ndf = trades_by_tkn.merge(deficit_by_tkn, on=['date', 'targetSymbol'])\ndf = df.merge(trading_liquidity, on=['date', 'targetSymbol'])\ndf = df.merge(total_liquidity, on=['date', 'targetSymbol'])\n\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"Primary Joins","showTitle":true,"inputWidgets":{},"nuid":"4ba2918c-a259-49aa-a384-8443740d7ac7"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[71]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[71]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 21 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 21 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["df = df.sort_values(['date', 'targetSymbol', 'trade_count'])\ndf\n"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"776385dc-a9c9-42ce-b5c5-6f4329dec998"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[72]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[72]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 21 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 21 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["df = df.drop_duplicates(subset=['date','targetSymbol'])\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c55edb7b-4ce9-491e-a4ff-a47903fad180"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\">Out[76]: </div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\">Out[76]: </div>"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 21 columns</p>\n</div>","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>targetSymbol</th>\n      <th>trade_count</th>\n      <th>sourceAmount_real</th>\n      <th>sourceAmount_real_usd</th>\n      <th>targetAmount_real</th>\n      <th>targetAmount_real_usd</th>\n      <th>trade_revenue_real</th>\n      <th>trade_revenue_usd</th>\n      <th>bntprice</th>\n      <th>surplus_tkn</th>\n      <th>surplus_bnt</th>\n      <th>surplus_usd</th>\n      <th>surplus_perc</th>\n      <th>tknTradingLiquidity_real</th>\n      <th>bntTradingLiquidity_real</th>\n      <th>spotRate</th>\n      <th>price</th>\n      <th>liquidity_real</th>\n      <th>stakedBalance_real</th>\n      <th>poolTokenSupply_real</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-04-20</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>0.003000</td>\n      <td>9.176236</td>\n      <td>9.205342</td>\n      <td>9.140794</td>\n      <td>0.018448</td>\n      <td>0.018318</td>\n      <td>2.296663</td>\n      <td>-9.221023e+00</td>\n      <td>-4.026950e+00</td>\n      <td>-9.248547e+00</td>\n      <td>-0.000054</td>\n      <td>9.161156e+04</td>\n      <td>4.000805e+04</td>\n      <td>0.436714</td>\n      <td>2.2900</td>\n      <td>1.718604e+05</td>\n      <td>1.718697e+05</td>\n      <td>1.718697e+05</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-04-22</td>\n      <td>dai</td>\n      <td>2</td>\n      <td>0.202159</td>\n      <td>601.632956</td>\n      <td>618.054738</td>\n      <td>601.526021</td>\n      <td>1.238587</td>\n      <td>1.205463</td>\n      <td>2.231059</td>\n      <td>-6.283286e+02</td>\n      <td>-2.744009e+02</td>\n      <td>-6.122045e+02</td>\n      <td>-0.001828</td>\n      <td>3.202751e+05</td>\n      <td>1.404095e+05</td>\n      <td>0.438403</td>\n      <td>2.2200</td>\n      <td>3.437408e+05</td>\n      <td>3.437500e+05</td>\n      <td>3.437500e+05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-04-25</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>1628.103621</td>\n      <td>3614.390039</td>\n      <td>1.217790</td>\n      <td>3649.399144</td>\n      <td>0.002440</td>\n      <td>7.313425</td>\n      <td>2.190786</td>\n      <td>-1.550104e-01</td>\n      <td>-2.076344e+02</td>\n      <td>-4.548826e+02</td>\n      <td>-0.001337</td>\n      <td>1.039690e+02</td>\n      <td>1.403459e+05</td>\n      <td>1349.882510</td>\n      <td>2.2200</td>\n      <td>1.169769e+02</td>\n      <td>1.159120e+02</td>\n      <td>1.159120e+02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-04-26</td>\n      <td>dai</td>\n      <td>3</td>\n      <td>7525.703648</td>\n      <td>15846.229453</td>\n      <td>16368.808603</td>\n      <td>15957.237984</td>\n      <td>32.803224</td>\n      <td>31.978433</td>\n      <td>2.214641</td>\n      <td>-2.101020e+04</td>\n      <td>-9.493450e+03</td>\n      <td>-2.102459e+04</td>\n      <td>-0.030559</td>\n      <td>6.197640e+05</td>\n      <td>2.918862e+05</td>\n      <td>0.470963</td>\n      <td>2.0700</td>\n      <td>6.828865e+05</td>\n      <td>6.875000e+05</td>\n      <td>6.874721e+05</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-04-26</td>\n      <td>eth</td>\n      <td>1</td>\n      <td>2403.614895</td>\n      <td>5071.627429</td>\n      <td>1.801257</td>\n      <td>5103.502330</td>\n      <td>0.003610</td>\n      <td>10.227460</td>\n      <td>2.214641</td>\n      <td>1.366771e+00</td>\n      <td>1.827579e+03</td>\n      <td>4.047433e+03</td>\n      <td>0.005718</td>\n      <td>2.187025e+02</td>\n      <td>2.888900e+05</td>\n      <td>1320.926933</td>\n      <td>2.0700</td>\n      <td>2.388591e+02</td>\n      <td>2.390141e+02</td>\n      <td>2.390098e+02</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>572</th>\n      <td>2022-07-13</td>\n      <td>ren</td>\n      <td>3</td>\n      <td>1768.630143</td>\n      <td>1315.906537</td>\n      <td>11368.242105</td>\n      <td>1331.755493</td>\n      <td>22.782048</td>\n      <td>2.668849</td>\n      <td>0.439336</td>\n      <td>-2.925943e+04</td>\n      <td>-7.788998e+03</td>\n      <td>-3.421986e+03</td>\n      <td>-0.074199</td>\n      <td>3.650763e+05</td>\n      <td>9.888587e+04</td>\n      <td>0.270864</td>\n      <td>0.4518</td>\n      <td>3.654831e+05</td>\n      <td>3.943198e+05</td>\n      <td>3.938701e+05</td>\n    </tr>\n    <tr>\n      <th>573</th>\n      <td>2022-07-13</td>\n      <td>usdc</td>\n      <td>11</td>\n      <td>12820.582315</td>\n      <td>39171.489157</td>\n      <td>40310.194464</td>\n      <td>40287.308795</td>\n      <td>407.173676</td>\n      <td>406.942508</td>\n      <td>0.439336</td>\n      <td>-1.319153e+06</td>\n      <td>-2.915052e+06</td>\n      <td>-1.280687e+06</td>\n      <td>-0.538241</td>\n      <td>9.223219e+05</td>\n      <td>2.044195e+06</td>\n      <td>2.216357</td>\n      <td>0.4518</td>\n      <td>1.112240e+06</td>\n      <td>2.450837e+06</td>\n      <td>2.447838e+06</td>\n    </tr>\n    <tr>\n      <th>574</th>\n      <td>2022-07-13</td>\n      <td>vbnt</td>\n      <td>13</td>\n      <td>17417.396004</td>\n      <td>17347.157459</td>\n      <td>49549.095840</td>\n      <td>17188.881593</td>\n      <td>754.554759</td>\n      <td>261.759618</td>\n      <td>0.439336</td>\n      <td>-5.969363e+04</td>\n      <td>-4.785695e+04</td>\n      <td>-2.102528e+04</td>\n      <td>-0.015282</td>\n      <td>1.550398e+06</td>\n      <td>1.250088e+06</td>\n      <td>0.806302</td>\n      <td>0.4518</td>\n      <td>3.851069e+06</td>\n      <td>3.906057e+06</td>\n      <td>3.889583e+06</td>\n    </tr>\n    <tr>\n      <th>575</th>\n      <td>2022-07-13</td>\n      <td>wbtc</td>\n      <td>8</td>\n      <td>77132.736065</td>\n      <td>40043.358891</td>\n      <td>2.075963</td>\n      <td>39984.699361</td>\n      <td>0.004160</td>\n      <td>80.128950</td>\n      <td>0.439336</td>\n      <td>-1.634478e+02</td>\n      <td>-7.133886e+06</td>\n      <td>-3.134172e+06</td>\n      <td>-0.483749</td>\n      <td>1.746781e+02</td>\n      <td>7.624048e+06</td>\n      <td>43646.270867</td>\n      <td>0.4518</td>\n      <td>1.746781e+02</td>\n      <td>3.378767e+02</td>\n      <td>3.378000e+02</td>\n    </tr>\n    <tr>\n      <th>576</th>\n      <td>2022-07-13</td>\n      <td>zcn</td>\n      <td>3</td>\n      <td>2857.359303</td>\n      <td>1643.043365</td>\n      <td>8442.390858</td>\n      <td>1667.280439</td>\n      <td>42.424075</td>\n      <td>8.378294</td>\n      <td>0.439336</td>\n      <td>-5.465076e+05</td>\n      <td>-2.432456e+05</td>\n      <td>-1.068665e+05</td>\n      <td>-0.655215</td>\n      <td>2.875819e+05</td>\n      <td>1.280001e+05</td>\n      <td>0.445091</td>\n      <td>0.4518</td>\n      <td>2.875819e+05</td>\n      <td>8.340895e+05</td>\n      <td>8.329419e+05</td>\n    </tr>\n  </tbody>\n</table>\n<p>577 rows × 21 columns</p>\n</div>"]}}],"execution_count":0},{"cell_type":"code","source":["df['trade_revenue_real_rolling_7day_avg'] = df[\n    'trade_revenue_real'\n].rolling(7, min_periods=1).mean()\n\ndf['trade_revenue_usd_rolling_7day_avg'] = df[\n    'trade_revenue_usd'\n].rolling(7, min_periods=1).mean()\n\ndf['trade_revenue_real_rolling_30day_avg'] = df[\n    'trade_revenue_real'\n].rolling(30, min_periods=1).mean()\n\ndf['trade_revenue_usd_rolling_30day_avg'] = df[\n    'trade_revenue_usd'\n].rolling(30, min_periods=1).mean()\n\ndf"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c8604fe0-55a1-47e9-b78d-7de5739a9b1e"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0},{"cell_type":"code","source":["import mlflow\n\nfilepath = '/dbfs/FileStore/tables/research/preprocessed_tradingliquidity_vs_deficit.csv'\ndf.to_csv(filepath, index=False)\nmlflow.log_artifact(filepath)\n"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d25989ae-f719-41b6-8106-5fc5f880a729"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"<div class=\"ansiout\"></div>","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"join_tables","dashboards":[],"notebookMetadata":{"pythonIndentUnit":4},"language":"python","widgets":{},"notebookOrigID":1744197420073310}},"nbformat":4,"nbformat_minor":0}

From eb9e88cde51c3df1d9f03cdb8ba0c42dbcb8176b Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Sun, 7 Aug 2022 06:11:55 -0700
Subject: [PATCH 07/16] updated scenario_generator imports

---
 bancor_research/scenario_generator/agents.py  |  15 ++++--
 .../scenario_generator/batch_run.py           |   7 +++
 bancor_research/scenario_generator/model.py   |  50 +++++++++---------
 .../{random_walk.py => monte_carlo.py}        |   6 +--
 bancor_research/scenario_generator/run.py     |   3 +-
 bancor_research/scenario_generator/server.py  |  10 ++++
 bancor_research/scenario_generator/utils.py   |   2 +
 .../ahp}/Analytical Hierarchy Process.png     | Bin
 .../studies/ahp}/ahp-example.ipynb            |   0
 .../studies/ahp}/ahp_example.csv              |   0
 .../proposal_with_data.ipynb}                 |   0
 .../simulation.ipynb                          |  36 +++++++++++++
 12 files changed, 96 insertions(+), 33 deletions(-)
 rename bancor_research/scenario_generator/{random_walk.py => monte_carlo.py} (87%)
 rename {bancor_research/bancor_ahp => examples/studies/ahp}/Analytical Hierarchy Process.png (100%)
 rename {bancor_research/bancor_ahp => examples/studies/ahp}/ahp-example.ipynb (100%)
 rename {bancor_research/bancor_ahp => examples/studies/ahp}/ahp_example.csv (100%)
 rename examples/studies/{limit_tradingliquidity_proposal_study.ipynb => limit_max_on_curve_liquidity/proposal_with_data.ipynb} (100%)
 create mode 100644 examples/studies/limit_max_on_curve_liquidity/simulation.ipynb

diff --git a/bancor_research/scenario_generator/agents.py b/bancor_research/scenario_generator/agents.py
index c8e80be6..ec23c550 100644
--- a/bancor_research/scenario_generator/agents.py
+++ b/bancor_research/scenario_generator/agents.py
@@ -3,16 +3,23 @@
 # Licensed under the MIT LICENSE. See License.txt in the project root for license information.
 # --------------------------------------------------------------------------------------------------------------------
 """Mesa Agent-based implementations of the Bancor protocol."""
+from decimal import Decimal
+from typing import Tuple
 
 import mesa
 
+from bancor_research.bancor_simulator.v3.spec import get_prices, State, get_bnt_trading_liquidity, \
+    get_tkn_trading_liquidity, get_trading_fee, get_user_balance, get_is_trading_enabled, get_network_fee, get_ema_rate, \
+    get_spot_rate, get_vault_balance, get_pooltoken_balance, get_staked_balance, get_external_protection_vault, \
+    get_protocol_wallet_balance, get_vortex_balance, get_bnt_funding_limit, get_bnbnt_rate, get_max_bnt_deposit, \
+    get_user_pending_withdrawals
 from bancor_research.bancor_simulator.v3.spec.actions import (
     unpack_withdrawal_cooldown,
     vortex_burner,
 )
 from bancor_research.bancor_simulator.v3.spec.network import BancorDapp
-from bancor_research.bancor_simulator.v3.simulation.random_walk import RandomWalker
-from bancor_research.bancor_simulator.v3.simulation.utils import (
+from bancor_research.scenario_generator.monte_carlo import MonteCarlo
+from bancor_research.scenario_generator.utils import (
     trade_tkn_to_ema,
     trade_bnt_to_ema,
     process_arbitrage_trade,
@@ -26,7 +33,7 @@
 )
 
 
-class Trader(RandomWalker):
+class Trader(MonteCarlo):
     """
     Represents a Bancor dapp user (trader and/or arbitrageur). Subclass to Mesa Agent
     """
@@ -328,7 +335,7 @@ def step(self):
         self.transact()
 
 
-class LP(RandomWalker):
+class LP(MonteCarlo):
     """
     Represents a Bancor dapp liquidity provider. Subclass to Mesa Agent
     """
diff --git a/bancor_research/scenario_generator/batch_run.py b/bancor_research/scenario_generator/batch_run.py
index 5333d27d..1f89141f 100644
--- a/bancor_research/scenario_generator/batch_run.py
+++ b/bancor_research/scenario_generator/batch_run.py
@@ -22,6 +22,13 @@
 """
 import os
 
+import mesa
+from bancor_research.scenario_generator.constants import SIMULATION_MAX_STEPS, SIMULATION_OUTPUT_PATH
+
+from bancor_research.scenario_generator.model import BancorSimulation
+
+from bancor_research.bancor_simulator.v3.spec import *
+
 # Add any desired parameters to sweep below.
 br_params = {
     "trading_fee": [
diff --git a/bancor_research/scenario_generator/model.py b/bancor_research/scenario_generator/model.py
index 2c6ccd0b..0e2c059c 100644
--- a/bancor_research/scenario_generator/model.py
+++ b/bancor_research/scenario_generator/model.py
@@ -2,20 +2,20 @@
 # --------------------------------------------------------------------------------------------------------------------
 # Licensed under the MIT LICENSE. See License.txt in the project root for license information.
 # --------------------------------------------------------------------------------------------------------------------
-"""Main Bancor Simulation module interface."""
-
+"""Main Bancor Simulation module interface.
+If you want to perform a parameter sweep, call batch_run.py instead of run.py.
+For details see batch_run.py in the same directory as run.py.
+"""
 import mesa
 import itertools
 from decimal import Decimal
-from mesa.datacollection import DataCollector
-from pydantic.types import Any
 
-from bancor_research.bancor_simulator.v3.simulation.agents import Trader, LP, Protocol
+from bancor_research.scenario_generator.agents import Protocol, Trader, LP
 
-"""
-If you want to perform a parameter sweep, call batch_run.py instead of run.py.
-For details see batch_run.py in the same directory as run.py.
-"""
+from bancor_research.bancor_simulator.v3.spec import *
+from bancor_research.scenario_generator.constants import *
+from mesa.datacollection import DataCollector
+from pydantic.types import Any
 
 
 def track_params(model):
@@ -53,22 +53,22 @@ class BancorSimulation(mesa.Model):
     max_steps = SIMULATION_MAX_STEPS
 
     def __init__(
-        self,
-        height=grid_h,
-        width=grid_w,
-        init_traders=SIMULATION_NUM_TRADERS,
-        init_lps=SIMULATION_NUM_LPs,
-        whale_threshold=SIMULATION_WHALE_THRESHOLD,
-        trading_fee=float(DEFAULT_TRADING_FEE),
-        network_fee=float(DEFAULT_NETWORK_FEE),
-        withdrawal_fee=float(DEFAULT_WITHDRAWAL_FEE),
-        whitelisted_tokens=None,
-        target_tvl=SIMULATION_TARGET_TVL,
-        price_feeds=DEFAULT_PRICE_FEEDS,
-        bnt_funding_limit=float(DEFAULT_BNT_FUNDING_LIMIT),
-        bnt_min_liquidity=float(DEFAULT_BNT_MIN_LIQUIDITY),
-        *args: Any,
-        **kwargs: Any
+            self,
+            height=grid_h,
+            width=grid_w,
+            init_traders=SIMULATION_NUM_TRADERS,
+            init_lps=SIMULATION_NUM_LPs,
+            whale_threshold=SIMULATION_WHALE_THRESHOLD,
+            trading_fee=float(DEFAULT_TRADING_FEE),
+            network_fee=float(DEFAULT_NETWORK_FEE),
+            withdrawal_fee=float(DEFAULT_WITHDRAWAL_FEE),
+            whitelisted_tokens=None,
+            target_tvl=SIMULATION_TARGET_TVL,
+            price_feeds=DEFAULT_PRICE_FEEDS,
+            bnt_funding_limit=float(DEFAULT_BNT_FUNDING_LIMIT),
+            bnt_min_liquidity=float(DEFAULT_BNT_MIN_LIQUIDITY),
+            *args: Any,
+            **kwargs: Any
     ):
 
         if whitelisted_tokens is None:
diff --git a/bancor_research/scenario_generator/random_walk.py b/bancor_research/scenario_generator/monte_carlo.py
similarity index 87%
rename from bancor_research/scenario_generator/random_walk.py
rename to bancor_research/scenario_generator/monte_carlo.py
index 6ea3efb2..e5645a38 100644
--- a/bancor_research/scenario_generator/random_walk.py
+++ b/bancor_research/scenario_generator/monte_carlo.py
@@ -4,15 +4,15 @@
 # --------------------------------------------------------------------------
 
 """
-Generalized behavior for random walking, one grid cell at a time.
+Generalized behavior for monte carlo simulation
 """
 
 import mesa
 
 
-class RandomWalker(mesa.Agent):
+class MonteCarlo(mesa.Agent):
     """
-    Class implementing random walker methods in a generalized manner.
+    Class implementing monte carlo methods in a generalized manner.
     """
 
     grid = None
diff --git a/bancor_research/scenario_generator/run.py b/bancor_research/scenario_generator/run.py
index 1350945c..1a06b4dc 100644
--- a/bancor_research/scenario_generator/run.py
+++ b/bancor_research/scenario_generator/run.py
@@ -1,3 +1,4 @@
-from bancor_research.bancor_simulator.v3.simulation.server import server
+# coding=utf-8
+from bancor_research.scenario_generator.server import server
 
 server.launch()
diff --git a/bancor_research/scenario_generator/server.py b/bancor_research/scenario_generator/server.py
index d47cdb22..815646e0 100644
--- a/bancor_research/scenario_generator/server.py
+++ b/bancor_research/scenario_generator/server.py
@@ -3,8 +3,18 @@
 # Licensed under the MIT LICENSE. See License.txt in the project root for license information.
 # --------------------------------------------------------------------------------------------------------------------
 """Sets up the interactive visualization server for the Mesa Agent-based simulation."""
+from decimal import Decimal
+
+import mesa
 
 # The colors here are taken from Matplotlib's tab10 palette
+from bancor_research.scenario_generator.model import BancorSimulation
+
+from bancor_research.scenario_generator.constants import SIMULATION_WHALE_THRESHOLD
+
+from bancor_research.bancor_simulator.v3.spec import DEFAULT_TRADING_FEE, DEFAULT_NETWORK_FEE, DEFAULT_WITHDRAWAL_FEE
+from bancor_research.scenario_generator.agents import Trader, LP
+
 RICH_COLOR = "#2ca02c"  # Green
 POOR_COLOR = "#d62728"  # Red
 MID_COLOR = "#1f77b4"  # Blue
diff --git a/bancor_research/scenario_generator/utils.py b/bancor_research/scenario_generator/utils.py
index bfe637bb..9984df47 100644
--- a/bancor_research/scenario_generator/utils.py
+++ b/bancor_research/scenario_generator/utils.py
@@ -3,6 +3,8 @@
 # Licensed under the MIT LICENSE. See License.txt in the project root for license information.
 # --------------------------------------------------------------------------------------------------------------------
 """Simulation utility functions."""
+from decimal import Decimal
+from typing import Tuple
 
 
 def trade_tkn_to_ema(
diff --git a/bancor_research/bancor_ahp/Analytical Hierarchy Process.png b/examples/studies/ahp/Analytical Hierarchy Process.png
similarity index 100%
rename from bancor_research/bancor_ahp/Analytical Hierarchy Process.png
rename to examples/studies/ahp/Analytical Hierarchy Process.png
diff --git a/bancor_research/bancor_ahp/ahp-example.ipynb b/examples/studies/ahp/ahp-example.ipynb
similarity index 100%
rename from bancor_research/bancor_ahp/ahp-example.ipynb
rename to examples/studies/ahp/ahp-example.ipynb
diff --git a/bancor_research/bancor_ahp/ahp_example.csv b/examples/studies/ahp/ahp_example.csv
similarity index 100%
rename from bancor_research/bancor_ahp/ahp_example.csv
rename to examples/studies/ahp/ahp_example.csv
diff --git a/examples/studies/limit_tradingliquidity_proposal_study.ipynb b/examples/studies/limit_max_on_curve_liquidity/proposal_with_data.ipynb
similarity index 100%
rename from examples/studies/limit_tradingliquidity_proposal_study.ipynb
rename to examples/studies/limit_max_on_curve_liquidity/proposal_with_data.ipynb
diff --git a/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb b/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb
new file mode 100644
index 00000000..f5746948
--- /dev/null
+++ b/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb
@@ -0,0 +1,36 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    ""
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file

From 295d7206947beb5c5435bed70fbbaa8329247410 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Sun, 7 Aug 2022 07:30:49 -0700
Subject: [PATCH 08/16] fixed scenario_generator

---
 .../bancor_simulator/v3/spec/network.py       | 19 ++++++------
 bancor_research/scenario_generator/agents.py  | 25 ++++++++--------
 .../scenario_generator/constants.py           | 23 ++++++++++++--
 examples/simulation-example.ipynb             |  6 ++--
 .../simulation.ipynb                          | 30 +++++++++++++++----
 5 files changed, 70 insertions(+), 33 deletions(-)

diff --git a/bancor_research/bancor_simulator/v3/spec/network.py b/bancor_research/bancor_simulator/v3/spec/network.py
index a7bad838..d7e79e0b 100644
--- a/bancor_research/bancor_simulator/v3/spec/network.py
+++ b/bancor_research/bancor_simulator/v3/spec/network.py
@@ -15,8 +15,8 @@
 
 
 def userAmount(state: State, tkn_name: str, user_name: str, amount: str):
-    if amount.endswith("%"):
-        return get_user_balance(state, user_name, tkn_name) * Decimal(amount[:-1]) / 100
+    if str(amount).endswith("%"):
+        return get_user_balance(state, user_name, tkn_name) * Decimal(str(amount)[:-1]) / 100
     return Decimal(amount)
 
 
@@ -164,17 +164,16 @@ def show_history(self):
     def deposit(
         self,
         tkn_name: str,
-        tkn_amt_abs_or_rel: str,
+        tkn_amt: str,
         user_name: str,
         timestamp: int = 0,
-        bntkn: Decimal = Decimal("0"),
         action_name="deposit",
     ):
         """
         Top level logic for deposit actions.
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt_abs_or_rel)
+        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
         state, tkn_name, tkn_amt, user_name = validate_input(
             state, tkn_name, tkn_amt, user_name, timestamp
         )
@@ -196,11 +195,11 @@ def deposit(
             transaction_id=self.transaction_id,
             state=state,
         )
-        return bntkn
+        # return bntkn
 
     def trade(
         self,
-        tkn_amt_abs_or_rel: str,
+        tkn_amt: str,
         source_token: str,
         target_token: str,
         user_name: str,
@@ -211,7 +210,7 @@ def trade(
         Main logic for trade actions.
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
-        tkn_amt = userAmount(state, source_token, user_name, tkn_amt_abs_or_rel)
+        tkn_amt = userAmount(state, source_token, user_name, tkn_amt)
         state, source_token, tkn_amt, user_name = validate_input(
             state, source_token, tkn_amt, user_name, timestamp
         )
@@ -233,7 +232,7 @@ def trade(
 
     def begin_cooldown(
         self,
-        tkn_amt_abs_or_rel: str,
+        tkn_amt: str,
         tkn_name: str,
         user_name: str,
         timestamp: int = 0,
@@ -243,7 +242,7 @@ def begin_cooldown(
         Begin the withdrawal cooldown operation.
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt_abs_or_rel)
+        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
         state, tkn_name, tkn_amt, user_name = validate_input(
             state, tkn_name, tkn_amt, user_name, timestamp
         )
diff --git a/bancor_research/scenario_generator/agents.py b/bancor_research/scenario_generator/agents.py
index ec23c550..96782c8d 100644
--- a/bancor_research/scenario_generator/agents.py
+++ b/bancor_research/scenario_generator/agents.py
@@ -274,7 +274,7 @@ def perform_random_ema_force_trade(self):
         return self
 
     def get_random_tkn_names(self, state: State) -> Tuple[str, str]:
-        tokens = state.whitelisted_tokens
+        tokens = [tkn for tkn in state.whitelisted_tokens]
         source_tkn = self.random.choice(tokens)
         target_tkn = self.random.choice([tkn for tkn in tokens if tkn != source_tkn])
         return source_tkn, target_tkn
@@ -439,7 +439,7 @@ def get_random_bnt_funding_limit(self, bnt_funding_amt: Decimal) -> Decimal:
     def set_random_trading_fee(self):
         state = self.protocol.v3.global_state
         for i in range(self.random.randint(1, 3)):
-            tkn_name = self.random.choice(state.whitelisted_tokens)
+            tkn_name = self.random.choice([tkn for tkn in state.whitelisted_tokens])
             trading_fee = get_trading_fee(state, tkn_name)
             trading_fee = self.get_random_trading_fee(trading_fee)
             state.set_trading_fee(tkn_name, trading_fee)
@@ -448,7 +448,7 @@ def set_random_trading_fee(self):
 
     def set_random_network_fee(self):
         state = self.protocol.v3.global_state
-        tkn_name = self.random.choice(state.whitelisted_tokens)
+        tkn_name = self.random.choice([tkn for tkn in state.whitelisted_tokens])
         network_fee = get_network_fee(state, tkn_name)
         network_fee = self.get_random_network_fee(network_fee)
         state.set_network_fee(tkn_name, network_fee)
@@ -458,7 +458,7 @@ def set_random_network_fee(self):
     def set_random_withdrawal_fee(self):
         state = self.protocol.v3.global_state
         withdrawal_fee = state.withdrawal_fee
-        tkn_name = self.random.choice(state.whitelisted_tokens)
+        tkn_name = self.random.choice([tkn for tkn in state.whitelisted_tokens])
         withdrawal_fee = self.get_random_withdrawal_fee(withdrawal_fee)
         state.set_withdrawal_fee(tkn_name, withdrawal_fee)
         self.protocol.v3.set_state(state)
@@ -466,7 +466,7 @@ def set_random_withdrawal_fee(self):
 
     def set_random_bnt_funding_limit(self):
         state = self.protocol.v3.global_state
-        tkn_name = self.random.choice(state.whitelisted_tokens)
+        tkn_name = self.random.choice([tkn for tkn in state.whitelisted_tokens])
         bnt_funding_limit = get_bnt_funding_limit(state, tkn_name)
         updated_bnt_funding_limit = self.get_random_bnt_funding_limit(bnt_funding_limit)
         state.set_bnt_funding_limit(tkn_name, updated_bnt_funding_limit)
@@ -474,9 +474,10 @@ def set_random_bnt_funding_limit(self):
         return self
 
     def perform_random_enable_trading(self):
-        self.protocol.v3.dao_msig_init_pools(
-            self.protocol.v3.global_state.whitelisted_tokens, "bnt"
-        )
+        state = self.protocol.v3.global_state
+        tokens = [tkn for tkn in state.whitelisted_tokens]
+        for tkn in tokens:
+            self.protocol.v3.enable_trading(tkn)
         return self
 
     def get_random_withdrawal_amt(self, tkn_name: str) -> Decimal:
@@ -504,7 +505,7 @@ def get_random_amt(self, amt: Decimal) -> Decimal:
         return Decimal(self.random.uniform(float(min_amt), float(max_amt)))
 
     def get_random_tkn_names(self, state: State) -> Tuple[str, str]:
-        tokens = state.whitelisted_tokens
+        tokens = [tkn for tkn in state.whitelisted_tokens]
         source_tkn = self.random.choice(tokens)
         target_tkn = self.random.choice([tkn for tkn in tokens if tkn != source_tkn])
         return source_tkn, target_tkn
@@ -561,7 +562,7 @@ def create_random_autocompounding_rewards(self):
         timestamp = state.timestamp
         start_time = 1 + timestamp
 
-        tkn_name = self.random.choice(state.whitelisted_tokens)
+        tkn_name = self.random.choice([tkn for tkn in state.whitelisted_tokens])
         distribution_type = self.random.choice(["flat", "exp"])
 
         if distribution_type == "flat":
@@ -782,7 +783,7 @@ def perform_random_withdrawal(self):
         state = self.protocol.v3.global_state
         timestamp = state.timestamp
         user_name = self.random.choice(state.usernames)
-        tkn_name = self.random.choice(state.whitelisted_tokens)
+        tkn_name = self.random.choice([tkn for tkn in state.whitelisted_tokens])
         pending_withdrawals = get_user_pending_withdrawals(state, user_name, tkn_name)
         if len(pending_withdrawals) > 0:
             id_number = self.random.choice(pending_withdrawals)
@@ -978,10 +979,8 @@ def __init__(
         self.v3 = BancorDapp(
             price_feeds=price_feeds,
             whitelisted_tokens=whitelisted_tokens,
-            trading_fee=trading_fee,
             network_fee=network_fee,
             withdrawal_fee=withdrawal_fee,
-            bnt_funding_limit=bnt_funding_limit,
             bnt_min_liquidity=bnt_min_liquidity,
         )
 
diff --git a/bancor_research/scenario_generator/constants.py b/bancor_research/scenario_generator/constants.py
index b5e6849d..d42f355b 100644
--- a/bancor_research/scenario_generator/constants.py
+++ b/bancor_research/scenario_generator/constants.py
@@ -5,6 +5,8 @@
 """Simulation constants and default state variables."""
 from decimal import Decimal
 
+from bancor_research.bancor_simulator.v3.spec.state import DEFAULT_TRADING_FEE, DEFAULT_BNT_FUNDING_LIMIT
+
 SIMULATION_TARGET_TVL: Decimal = Decimal("160000000")
 SIMULATION_TARGET_TRADE_VOLUME: Decimal = Decimal("20000000")
 SIMULATION_WHALE_THRESHOLD: Decimal = Decimal("1000000")
@@ -13,6 +15,23 @@
 SIMULATION_TARGET_NUM_WITHDRAWALS_PER_DAY: int = 200
 SIMULATION_NUM_TRADERS = 2
 SIMULATION_NUM_LPs = 2
-SIMULATION_WHITELISTED_TOKENS = ["tkn", "bnt"]
+SIMULATION_WHITELISTED_TOKENS = {
+    "eth": {
+        "trading_fee": DEFAULT_TRADING_FEE,
+        "bnt_funding_limit": DEFAULT_BNT_FUNDING_LIMIT,
+    },
+    "link": {
+        "trading_fee": DEFAULT_TRADING_FEE,
+        "bnt_funding_limit": DEFAULT_BNT_FUNDING_LIMIT,
+    },
+    "tkn": {
+        "trading_fee": DEFAULT_TRADING_FEE,
+        "bnt_funding_limit": DEFAULT_BNT_FUNDING_LIMIT,
+    },
+    "wbtc": {
+        "trading_fee": DEFAULT_TRADING_FEE,
+        "bnt_funding_limit": DEFAULT_BNT_FUNDING_LIMIT,
+    },
+}
 SIMULATION_MAX_STEPS = 100
-SIMULATION_OUTPUT_PATH: str = "data/simulation_output.csv"
+SIMULATION_OUTPUT_PATH: str = "examples/studies/limit_max_on_curve_liquidity/data/simulation_output.csv"
diff --git a/examples/simulation-example.ipynb b/examples/simulation-example.ipynb
index adcd74d9..f6bafdb7 100644
--- a/examples/simulation-example.ipynb
+++ b/examples/simulation-example.ipynb
@@ -8,7 +8,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "4it [00:01,  2.85it/s]\r\n"
+      "python: can't open file '/Users/mikewcasale/Local/projects/bancor/research/examples/bancor_simulator/v3/simulator/batch_run.py': [Errno 2] No such file or directory\r\n"
      ]
     }
    ],
@@ -37,9 +37,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "name": "pycharm-c19c9c8d",
+   "name": "python3",
    "language": "python",
-   "display_name": "PyCharm (simulator-v3)"
+   "display_name": "Python 3 (ipykernel)"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb b/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb
index f5746948..28585074 100644
--- a/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb
+++ b/examples/studies/limit_max_on_curve_liquidity/simulation.ipynb
@@ -2,21 +2,41 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "collapsed": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "zsh:1: permission denied: /Users/mikewcasale/Local/projects/bancor/research/bancor_research/scenario_generator/batch_run.py\r\n"
+     ]
+    }
+   ],
    "source": [
-    ""
+    "! /Users/mikewcasale/Local/projects/bancor/research/bancor_research/scenario_generator/batch_run.py"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "name": "bancor_research_env",
    "language": "python",
-   "name": "python3"
+   "display_name": "bancor_research_env"
   },
   "language_info": {
    "codemirror_mode": {

From c2c90c763c36b567ba53d78917ae19cba09947b7 Mon Sep 17 00:00:00 2001
From: mikewcasale
 <runner@fv-az302-780.ofanwk0e2vaulnj0ui1s0xkwcc.jx.internal.cloudapp.net>
Date: Sun, 7 Aug 2022 14:31:16 +0000
Subject: [PATCH 09/16] fixup: Format Python code with Black

---
 bancor_research/bancor_simulator/v3/spec/network.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/bancor_research/bancor_simulator/v3/spec/network.py b/bancor_research/bancor_simulator/v3/spec/network.py
index d7e79e0b..d6cacefc 100644
--- a/bancor_research/bancor_simulator/v3/spec/network.py
+++ b/bancor_research/bancor_simulator/v3/spec/network.py
@@ -16,7 +16,11 @@
 
 def userAmount(state: State, tkn_name: str, user_name: str, amount: str):
     if str(amount).endswith("%"):
-        return get_user_balance(state, user_name, tkn_name) * Decimal(str(amount)[:-1]) / 100
+        return (
+            get_user_balance(state, user_name, tkn_name)
+            * Decimal(str(amount)[:-1])
+            / 100
+        )
     return Decimal(amount)
 
 

From 1e2da1a638f652d5ebb9c9e20dfd2a852f3479df Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 13:52:41 -0700
Subject: [PATCH 10/16] Update agents.py

---
 bancor_research/scenario_generator/agents.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/bancor_research/scenario_generator/agents.py b/bancor_research/scenario_generator/agents.py
index 96782c8d..fceb2a4c 100644
--- a/bancor_research/scenario_generator/agents.py
+++ b/bancor_research/scenario_generator/agents.py
@@ -275,8 +275,7 @@ def perform_random_ema_force_trade(self):
 
     def get_random_tkn_names(self, state: State) -> Tuple[str, str]:
         tokens = [tkn for tkn in state.whitelisted_tokens]
-        source_tkn = self.random.choice(tokens)
-        target_tkn = self.random.choice([tkn for tkn in tokens if tkn != source_tkn])
+        source_tkn, target_tkn = self.random.sample(tokens, 2)
         return source_tkn, target_tkn
 
     def get_average_trading_fee(self):
@@ -475,8 +474,7 @@ def set_random_bnt_funding_limit(self):
 
     def perform_random_enable_trading(self):
         state = self.protocol.v3.global_state
-        tokens = [tkn for tkn in state.whitelisted_tokens]
-        for tkn in tokens:
+        for tkn in [tkn for tkn in state.whitelisted_tokens]:
             self.protocol.v3.enable_trading(tkn)
         return self
 
@@ -506,8 +504,7 @@ def get_random_amt(self, amt: Decimal) -> Decimal:
 
     def get_random_tkn_names(self, state: State) -> Tuple[str, str]:
         tokens = [tkn for tkn in state.whitelisted_tokens]
-        source_tkn = self.random.choice(tokens)
-        target_tkn = self.random.choice([tkn for tkn in tokens if tkn != source_tkn])
+        source_tkn, target_tkn = self.random.sample(tokens, 2)
         return source_tkn, target_tkn
 
     def is_protocol_bnbnt_healthy(

From c38e1fee6f2874d1963a9045f2d414b74a7dc910 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 13:55:09 -0700
Subject: [PATCH 11/16] Update constants.py

---
 bancor_research/scenario_generator/constants.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/bancor_research/scenario_generator/constants.py b/bancor_research/scenario_generator/constants.py
index d42f355b..8621fbdf 100644
--- a/bancor_research/scenario_generator/constants.py
+++ b/bancor_research/scenario_generator/constants.py
@@ -4,8 +4,9 @@
 # --------------------------------------------------------------------------------------------------------------------
 """Simulation constants and default state variables."""
 from decimal import Decimal
-
-from bancor_research.bancor_simulator.v3.spec.state import DEFAULT_TRADING_FEE, DEFAULT_BNT_FUNDING_LIMIT
+from bancor_research import DEFAULT
+DEFAULT_TRADING_FEE = DEFAULT.TRADING_FEE
+DEFAULT_BNT_FUNDING_LIMIT = DEFAULT.BNT_FUNDING_LIMIT
 
 SIMULATION_TARGET_TVL: Decimal = Decimal("160000000")
 SIMULATION_TARGET_TRADE_VOLUME: Decimal = Decimal("20000000")
@@ -15,6 +16,8 @@
 SIMULATION_TARGET_NUM_WITHDRAWALS_PER_DAY: int = 200
 SIMULATION_NUM_TRADERS = 2
 SIMULATION_NUM_LPs = 2
+
+
 SIMULATION_WHITELISTED_TOKENS = {
     "eth": {
         "trading_fee": DEFAULT_TRADING_FEE,

From d4ea9de7040af1af57545140cdd98400a03546fc Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 14:01:14 -0700
Subject: [PATCH 12/16] Update constants.py

---
 bancor_research/scenario_generator/constants.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/bancor_research/scenario_generator/constants.py b/bancor_research/scenario_generator/constants.py
index 8621fbdf..296ac7f1 100644
--- a/bancor_research/scenario_generator/constants.py
+++ b/bancor_research/scenario_generator/constants.py
@@ -7,7 +7,9 @@
 from bancor_research import DEFAULT
 DEFAULT_TRADING_FEE = DEFAULT.TRADING_FEE
 DEFAULT_BNT_FUNDING_LIMIT = DEFAULT.BNT_FUNDING_LIMIT
-
+DEFAULT_NETWORK_FEE = DEFAULT.NETWORK_FEE
+DEFAULT_WITHDRAWAL_FEE = DEFAULT.WITHDRAWAL_FEE
+    
 SIMULATION_TARGET_TVL: Decimal = Decimal("160000000")
 SIMULATION_TARGET_TRADE_VOLUME: Decimal = Decimal("20000000")
 SIMULATION_WHALE_THRESHOLD: Decimal = Decimal("1000000")

From 7f1fd3ef9f1acf469b3f1050306de2080a2206d5 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 14:01:18 -0700
Subject: [PATCH 13/16] Update server.py

---
 bancor_research/scenario_generator/server.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/bancor_research/scenario_generator/server.py b/bancor_research/scenario_generator/server.py
index 815646e0..5b52333e 100644
--- a/bancor_research/scenario_generator/server.py
+++ b/bancor_research/scenario_generator/server.py
@@ -6,13 +6,11 @@
 from decimal import Decimal
 
 import mesa
+from bancor_research.scenario_generator.constants import *
 
 # The colors here are taken from Matplotlib's tab10 palette
 from bancor_research.scenario_generator.model import BancorSimulation
 
-from bancor_research.scenario_generator.constants import SIMULATION_WHALE_THRESHOLD
-
-from bancor_research.bancor_simulator.v3.spec import DEFAULT_TRADING_FEE, DEFAULT_NETWORK_FEE, DEFAULT_WITHDRAWAL_FEE
 from bancor_research.scenario_generator.agents import Trader, LP
 
 RICH_COLOR = "#2ca02c"  # Green

From 3e22680326f39336f62e65cb0ce00ff045dfae65 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 14:11:22 -0700
Subject: [PATCH 14/16] Update network.py

- changed `tkn_amt: str` to `tkn_amt: Any`
- changed camelcase functions to lowercase for simulator python style consistency
---
 .../bancor_simulator/v3/spec/network.py       | 36 +++++++++----------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/bancor_research/bancor_simulator/v3/spec/network.py b/bancor_research/bancor_simulator/v3/spec/network.py
index 77b32638..2ece2663 100644
--- a/bancor_research/bancor_simulator/v3/spec/network.py
+++ b/bancor_research/bancor_simulator/v3/spec/network.py
@@ -13,11 +13,11 @@
 from bancor_research import DEFAULT, PandasDataFrame, read_price_feeds, pd
 
 
-def toDecimal(percent: str):
+def to_decimal(percent: str):
     return Decimal(percent[:-1]) / 100
 
 
-def userAmount(state: State, tkn_name: str, user_name: str, amount: str):
+def get_user_amount(state: State, tkn_name: str, user_name: str, amount: Any):
     if str(amount).endswith("%"):
         return (
             get_user_balance(state, user_name, tkn_name)
@@ -78,7 +78,7 @@ def __init__(
 
         whitelisted_tokens = {
             k: {
-                "trading_fee": toDecimal(v["trading_fee"]),
+                "trading_fee": to_decimal(v["trading_fee"]),
                 "bnt_funding_limit": Decimal(v["bnt_funding_limit"]),
             }
             for k, v in whitelisted_tokens.items()
@@ -96,9 +96,9 @@ def __init__(
             whitelisted_tokens=whitelisted_tokens,
             usernames=[],
             cooldown_time=cooldown_time,
-            network_fee=toDecimal(network_fee),
+            network_fee=to_decimal(network_fee),
             bnt_min_liquidity=Decimal(bnt_min_liquidity),
-            withdrawal_fee=toDecimal(withdrawal_fee),
+            withdrawal_fee=to_decimal(withdrawal_fee),
         )
 
         # initialize bnt
@@ -191,11 +191,11 @@ def deposit(
         Top level logic for deposit actions.
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         state, tkn_name, tkn_amt, user_name = validate_input(
             state, tkn_name, tkn_amt, user_name, timestamp
         )
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         if tkn_name == "bnt":
             state = deposit_bnt(
                 state=state, tkn_name=tkn_name, tkn_amt=tkn_amt, user_name=user_name
@@ -228,14 +228,14 @@ def trade(
         Main logic for trade actions.
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
-        tkn_amt = userAmount(state, source_token, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, source_token, user_name, tkn_amt)
         state, source_token, tkn_amt, user_name = validate_input(
             state, source_token, tkn_amt, user_name, timestamp
         )
         state, target_token, user_name = validate_input(
             state, target_token, user_name, timestamp
         )
-        tkn_amt = userAmount(state, source_token, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, source_token, user_name, tkn_amt)
         state = process_trade(
             state, tkn_amt, source_token, target_token, user_name, timestamp
         )
@@ -261,11 +261,11 @@ def begin_cooldown(
         Begin the withdrawal cooldown operation.
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         state, tkn_name, tkn_amt, user_name = validate_input(
             state, tkn_name, tkn_amt, user_name, timestamp
         )
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         state, id_number = begin_withdrawal_cooldown(
             state, tkn_amt, tkn_name, user_name
         )
@@ -525,7 +525,7 @@ def burn_pool_tokens(
         state, tkn_name, user_name = validate_input(
             state, tkn_name, user_name, timestamp
         )
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         if tkn_name != "bnt":
             state.decrease_pooltoken_balance(tkn_name, tkn_amt)
             state.decrease_user_balance(
@@ -589,7 +589,7 @@ def join_standard_rewards_program(
         state, tkn_name, user_name = validate_input(
             state, tkn_name, user_name, timestamp
         )
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         state = join_standard_reward_program(
             state=state,
             user_name=user_name,
@@ -618,7 +618,7 @@ def leave_standard_rewards_program(
         state, tkn_name, user_name = validate_input(
             state, tkn_name, user_name, timestamp
         )
-        tkn_amt = userAmount(state, tkn_name, user_name, tkn_amt)
+        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         state = leave_standard_reward_program(
             state=state,
             user_name=user_name,
@@ -702,7 +702,7 @@ def set_trading_fee(
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
         state, tkn_name, user_name = validate_input(state, tkn_name, "", timestamp)
-        value = toDecimal(percent)
+        value = to_decimal(percent)
         state.set_trading_fee(tkn_name, value)
         self.next_transaction(state)
         handle_logging(
@@ -722,7 +722,7 @@ def set_network_fee(
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
         state, tkn_name, user_name = validate_input(state, tkn_name, "", timestamp)
-        value = toDecimal(percent)
+        value = to_decimal(percent)
         state.set_network_fee(tkn_name, value)
         self.next_transaction(state)
         handle_logging(
@@ -742,7 +742,7 @@ def set_withdrawal_fee(
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
         state, tkn_name, user_name = validate_input(state, tkn_name, "", timestamp)
-        value = toDecimal(percent)
+        value = to_decimal(percent)
         state.set_withdrawal_fee(tkn_name, value)
         self.next_transaction(state)
         handle_logging(
@@ -762,7 +762,7 @@ def set_bnt_funding_limit(
         """
         state = self.get_state(copy_type="initial", timestamp=timestamp)
         state, tkn_name, user_name = validate_input(state, tkn_name, "", timestamp)
-        value = toDecimal(amount)
+        value = to_decimal(amount)
         state.set_bnt_funding_limit(tkn_name, value)
         self.next_transaction(state)
         handle_logging(

From 80aaa3c3d2f3908b82e27045106913420513d0e4 Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 14:11:32 -0700
Subject: [PATCH 15/16] Update constants.py

---
 bancor_research/scenario_generator/constants.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bancor_research/scenario_generator/constants.py b/bancor_research/scenario_generator/constants.py
index 296ac7f1..e99b418c 100644
--- a/bancor_research/scenario_generator/constants.py
+++ b/bancor_research/scenario_generator/constants.py
@@ -9,7 +9,7 @@
 DEFAULT_BNT_FUNDING_LIMIT = DEFAULT.BNT_FUNDING_LIMIT
 DEFAULT_NETWORK_FEE = DEFAULT.NETWORK_FEE
 DEFAULT_WITHDRAWAL_FEE = DEFAULT.WITHDRAWAL_FEE
-    
+
 SIMULATION_TARGET_TVL: Decimal = Decimal("160000000")
 SIMULATION_TARGET_TRADE_VOLUME: Decimal = Decimal("20000000")
 SIMULATION_WHALE_THRESHOLD: Decimal = Decimal("1000000")

From ac98abf1bcf1addfaba01afeb948ee7d11b3eeaa Mon Sep 17 00:00:00 2001
From: mikewcasale <mike.w.casale@gmail.com>
Date: Mon, 8 Aug 2022 14:17:20 -0700
Subject: [PATCH 16/16] Update network.py

- fixed some inconsistent usage
---
 bancor_research/bancor_simulator/v3/spec/network.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/bancor_research/bancor_simulator/v3/spec/network.py b/bancor_research/bancor_simulator/v3/spec/network.py
index 2ece2663..6445903f 100644
--- a/bancor_research/bancor_simulator/v3/spec/network.py
+++ b/bancor_research/bancor_simulator/v3/spec/network.py
@@ -195,7 +195,6 @@ def deposit(
         state, tkn_name, tkn_amt, user_name = validate_input(
             state, tkn_name, tkn_amt, user_name, timestamp
         )
-        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         if tkn_name == "bnt":
             state = deposit_bnt(
                 state=state, tkn_name=tkn_name, tkn_amt=tkn_amt, user_name=user_name
@@ -232,10 +231,6 @@ def trade(
         state, source_token, tkn_amt, user_name = validate_input(
             state, source_token, tkn_amt, user_name, timestamp
         )
-        state, target_token, user_name = validate_input(
-            state, target_token, user_name, timestamp
-        )
-        tkn_amt = get_user_amount(state, source_token, user_name, tkn_amt)
         state = process_trade(
             state, tkn_amt, source_token, target_token, user_name, timestamp
         )
@@ -265,7 +260,6 @@ def begin_cooldown(
         state, tkn_name, tkn_amt, user_name = validate_input(
             state, tkn_name, tkn_amt, user_name, timestamp
         )
-        tkn_amt = get_user_amount(state, tkn_name, user_name, tkn_amt)
         state, id_number = begin_withdrawal_cooldown(
             state, tkn_amt, tkn_name, user_name
         )