- Demystifying Numerai - many top data scientists out there are just not too sure about the crypto elements and/or the tournament format. Speaking with and listening to long-term participants can be an effective way to build trust. Some participants learned to trust Numerai after watching Office Hours with Arbitrage.
- Knowledge sharing and brainstorming - although we may not share all our secret sauce, meetups are great opportunities to bounce ideas off each other and may lead to new models with crazily high TC.
- Face-to-face discussions between Numeratis and Numerai team - a lot more than just asking the team “wen scores” in person, these events can provide a quick and direct feedback loop for both participants and the Numerai team.
Check out the original proposal here.
- Eventbrite - Link
- Photos - Link
- Welcoming Remarks by the Numerai Council of Elders - Video
- Talk #1 - Introduction to Numerai (with Memes) by Jo-fai Chow aka ia_ai - Video - Slides
- Talk #2 - A Complete Beginner's Guide to Numerai: From Zero to Hero by Alex Benton aka Aventurine - Video - Slides
- Talk #3 - Signals - the Non-ML Approach by Jon Taylor - Video - Slides
- Talk #4 - Building a Profitable Signals Model: the Principles Behind Alpha_X/Beta_X by Boogies999 - Video - Slides
- Talk #5 - From Tournament to Trading: a Brief Tour of How We Turn Signals into a Hedge Fund by James Elford - Video - Slides
- The Numerai Community Fireside Chat by the Numerai Council of Elders - Video
- Closing Remarks by the Numerai Council of Elders - Video
- Bonus Talk - Welcome to the Numerai Universe by Jos Eilers - Slides (Jos couldn't join us on the day)
- Eventbrite - Link
- Welcoming Remarks by the Numerai Council of Elders - Video
- Talk #1 - A Complete Beginner's Guide to Numerai: From Zero to Hero by Alex Benton aka Aventurine - Video - Slides
- Talk #2 - Feature selection for the classic tournament by Jo-fai Chow aka ia_ai - Video - Slides
- Talk #3 - Numerai Signals by Suraj Parmar (Numerai Council of Elders) - Video - Slides
- Talk #4 - Multi-strategy hedge funds and their discontents, their past and their future by Richard Craib (Founder and CEO of Numerai) - Video (Pending Review)
- Talk #5 - Welcome to the AI Arena by Brandon Da Silva and Wei Xie (Co-founders of AI Arena) - Video - Research Platform Walkthrough
- Closing Remarks by the Numerai Council of Elders - Video
- Eventbrite - Link
- Photos - TBA
- Talk #1 - Numerai Example Scriptを読み解く by Yuichiro Nishimoto - Video (JP) - Slides (JP)
- Talk #2 - The Challenge of Automatically Configuring Numerai Compute Environment by Regonn - Video (JP) - Slides (JP) - Code
- Talk #3 - Asset Centrality in Numerai by Yoshiso - Video (JP) - Slides (EN)
- Talk #4 - 日本株の分析を簡単にするJ-Quants APIの紹介 by Shohei Meitoma - Video (JP) - Slides (JP) - Slides (EN)
- Talk #5 - Can we stably earn NMR from TC? by Ageonsen - Video (JP) - Slides (EN)
- Talk #6 - Numeraiモデルのポートフォリオ構築の試み by Habakan - Video (JP) - Slides (JP) - Slides (EN)
- Talk #7 - Stock Prediction using ChatGPT by UKI - Video (JP) - Slides (JP) - Slides (EN)
- Talk #8 - Numerai Signals Tips and Tricks by Jon Taylor - Video (EN) (Note: incomplete video due to equipment failure) - Slides
- Eventbrite - Link
- Photos - Link
- Talk #0 - Quick Update on Numerai Meetups by Jo-fai Chow - Slides
- Talk #1 - NumerAPI: The Python Client for Numerai by Wolfgang Steitz - Video - Slides
- Talk #2 - Decide Your Model Stake Sizes with Vlad the Staker by Boris Schmid - Video - Slides
- Talk #3 - Cheapskate's Numerai ML infrastructure by Josef Švenda - Video - Slides
- Talk #4 - Shiny Numerati: A Brief History and Use Cases by Jo-fai Chow - Video - Slides
- Talk #5 - My Journey from Web2 to Web3 by Alex Benton - Video - Slides
- Talk #6 - Community Fireside Chart - Video
- Eventbrite - Link
- Photos - Link
- Talk #1 - Quick Update on Numerai Meetups by Jo-fai Chow - Slides
- Talk #2 - Introduction to Machine Learning by Aventurine - Video - Slides
- Talk #3 - Introduction to Numerai by Aventurine - Video - Slides
- Talk #4 - NumerWiki: the Numerai Glossary by Peter Ling - Video - Slides - NumerWiki (WIP)
- Talk #5 - Introduction to Numerai Signals by Suraj Parmar - Video - Slides (G) - Slides (PDF)
- Talk #6 - Using the Shiny Numerati Dashboard to Find Your Best Models by Jo-fai Chow - Video - Slides
- Talk #7 - Language Models: From Words to Numbers by Suraj Parmar - Video - Slides (G) - Slides (PDF)
- Talk #8 - Community Fireside Chat - Video
- Meetup - Link
- Photos - Link
- Talk #1 - Signals - More alpha than there is noise in the market by Suraj Parmar - Slides
- Eventbrite - Link
- Photos - Link
- Welcoming Remarks - by the Numerai Council of Elders - Slides
- Talk #1 - From Zero to Hero by Josef “svendaj” Švenda - Video - Slides
- Talk #2 - Feature Selection by Daniel Springmann - Video - Slides
- Talk #3 - Vlad the Staker by Boris Schmid - Video - Slides
- Talk #4 - Three MMC Tricks by Jeethu Rao - Video - Slides
- Talk #5 - My Journey to Expert on Numerai-Signals* by Sandro Scodeller - Video - Bonus Video - Slides
- Talk #6 - Shiny Numerati by Jo-fai Chow - Video - Slides
- Talk #7 - Fitting LLMs on iPhones by Jeethu Rao - Video - Slides
- Eventbrite - Link
- Photos and Videos - Link
- Welcoming Remarks - by the Numerai Council of Elders - Slides
- Talk #1 - Updates and Strategy for Numerai in 2024 by Yuichiro Nishimoto - Video (JP) - Slides (JP)
- Talk #2 - Submission with Numerai Compute using GCP Batch by Regonn - Video (JP) - Slides (JP + EN)
- Talk #3 - Exploratory Data Analysis of the Numerai Signals V1 Dataset by Habakan - Video (JP) - Slides (JP)
- Talk #4 - YIEDL: An asset management DAO driven by a crowd-sourced AI by Davide Capoti & Roberto Giaccio - Video - Slides (Part I) - Slides (Part II)
- Talk #5 - Introducing FLock.io - A Decentralized AI Arena by Tim Shen - Video - Slides
- Talk #6 - Introducing CrunchDAO by Jean Hérelle - Video - Slides
- Free Registration - Link
- Social Media - Link
- Photos - Link
- Welcoming Remarks - by the Numerai Council of Elders - Slides
- Talk #1.1 - YIEDL.ai: Introduction by Davide Capoti - Slides - Video
- Talk #1.2 - YIEDL.ai: How It Works by Roberto Giaccio - Slides - Video
- Talk #1.3 - YIEDL.ai: Datasets by Lubin Tan - Slides - Video
- Talk #1.4 - YIEDL.ai: Collaboration with the Numerai Council of Elders by Jo-fai Chow - Slides - Video
- Talk #2.1 - FLock.io: Introduction by Jiahao Sun - Slides - Video
- Talk #2.2 - FLock.io: Live Demo by Nick Wen - Video
- Talk #3 - Ocean Data Challenges: Collaboration with Numerai by Raymond Maiorescu
- Ocean Foam - Ocean Protocol's data challenge program rebranded
- ETH Predict - Ocean's first series of challenges attempting to build models that predict the future value of ETH
- ETH Predict - Docs on Github
- Numerai Data Challenge - as posted on Ocean's platform (Desights)
- Numerai Data Challenge - Raymond's blog post on Ocean Protocol blog page
- Numerai Data Challenge Winners Announcement - Ray's blog post at the end of the challenge
- 1st Place
- 2nd Place
- 3rd Place
- Free Registration on Luma - Link
- Photos - Link
- Welcoming Remarks - by the Numerai Council of Elders - Slides
- Talk #1 - Deploying LVMs with Distributed Computing by Sean Tracey - Slides - Video
- Talk #2 - Introduction to Numerai by Michael Oliver - Slides - Video
- Talk #3 - The Do's and Dont's of Building Decentralized AI by Matt McKinney - Slides - Video
- Talk #4 - Introduction to FLock.io by Nick Wen - Video
- Talk #5 - Manami.AI: Enhanced Portfolio Visibility by Pavan Katepalli - Slides - Video
- Talk #6 - Tokenizing Physical and Digital Goods with Niftmint by Jonathan Blanco - Video
- Free Registration on Luma - Link
- Photos - Link
- Welcoming Remarks - by the Numerai Council of Elders - Slides
- Talk #1 - ハッカソンでマルチLLM＆マルチAI AgentでDeFAIプロダクトを作ってみた by Haruki - Slides - Video
- Talk #2 - HyperLens by Bekki - Contact Speaker
- Talk #3 - Unlock Actionable Insight from Unstructured Data by Jeff Tsui - Contact Speaker
- Talk #4 - FLock.io 101 by Vincent Wang - Video
- Talk #5 - Numeraiの計算費用節約トーク by Nishimoto - Contact Speaker
- Talk #6 - Numerai as Decentralized AI: Insights from 13F-HR and Operational Costs by Kei Sanada - Slides - Video
- Talk #7 - Japanese Corporate Disclosures by Aram Zinzalian - Contact Speaker
- Free Registration on Luma - Link
- Photos & Videos - Link
- Welcoming Remarks - by Joe Chow @ Numerai Council of Elders - Slides
- Talk #1 - Introduction to Numerai by Aventurine @ Numerai Council of Elders - Slides - Video
- Talk #2 - How to Turbocharge Model Building for Numerai with Vibes by Ling - Slides - Video
- Talk #3 - What does the "era" information mean for Numerai model training by gBrecht - Slides - Video
- Talk #4 - 15 minutes with mljar tools by Piotr Płoński - Video
- Talk #5 - Let the AI Cook: Turning YIEDL's Data Science Battles into Unstoppable AI-Driven Crypto Portfolios by Davide Capoti, CEO @ YIEDL.ai - Slides - Video
- Talk #6 - CrowdCent - Hyperliquid Challenge by Robert Smillie - Slides - Video
- Talk #7 - Latest FLock Developments by Yifan Xie, VP of DevRel @ FLock.io - Slides - Video
- Talk #8 - Sportstensor: Incentivizing Collective Intelligence for Sports Prediction - Slides - Video
- Talk #9 - Distributed Prediction of Financial Time Series by Barbarian @ MANTIS - Video
-
Free Registration on Luma - Link
-
Photos & Videos - [Link (TBA)]
-
Welcoming Remarks - by Joe Chow @ Numerai Council of Elders - Slides
-
Workshop Intro #1 - CrowdCent Workshop by Jason Rosenfeld - Slides
-
Talk #1 - Introduction to Numerai by Michael Oliver @ Numerai - Slides
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Talk #2 - How to Develop with AI in 2026 by Michael Philips @ Numerai - Slides
-
Talk #3 - Cracking FLock.io Task 18: Dark Pool Order Routing by Robert Smillie - Slides
-
CrowdCent Workshop
- Description: "The Ultimate Submission" — Participants will blend datasets from CrowdCent, Numerai Crypto, and YIEDL to build an ensemble-of-ensembles model for crypto ranking prediction.
- CrowdCent Workshop Container on Yotta Labs - Link
- We'll cover:
- Data merging across multiple DeAI platforms
- Building a full sklearn pipeline with XGBoost, LightGBM, CatBoost, and LSTM models
- Proper time-series cross-validation (TimeGapSplit) to avoid leakage
- Evaluating with CrowdCent's official metrics (Spearman correlation, NDCG@40)
- Live submission to the Hyperliquid Ranking challenge
-
YIEDL Workshop
- Description: Decentralized AI from Research to decentralized Capital allocation
- Format: 3 Sessions
- Audience: Data Scientists & Investors / Traders
- Led by: Davide Capoti (Co-Founder & CEO) * Roberto Gicaccio (Co-Founder & CTO)
- Goal: Understand, experience, and enter the YIEDL ecosystem
- Sessions:
- [Intro] The Vision: Bridging Research and Capital — 30 min
- YIEDL is a decentralized marketplace where investors meet science. It connects data scientists and investors in a single ecosystem where predictive models compete on real crypto markets and become AI-powered investment portfolios, accessible to anyone, deployable in self-custody, and activated with one click—turning collective intelligence into capital allocation.
- [Session 1] The Scientist Track: Proving Your Edge — 45 min
- We focus on the engine of YIEDL: data scientists. We introduce the “skin in the game” model, where tokens are staked on predictions, rewards are earned for accuracy, and poor performance is penalized. Participants then access curated datasets, set up their environment, and submit a live prediction to the UPDOWN or NEUTRAL competition using our Python library.
- Prizes: 🎁 1,000 YIEDL tokens guaranteed for all submitters.
- [Session 2] The Investor Track: Algorithmic Execution — 45 min
- We move to the capital layer, showing how models become investable AI portfolios. Participants deploy a Bot, an automated AI agent executing Long/Short or Market Neutral strategies on Solana perpetuals in a fully non-custodial setup. Flow: connect Phantom wallet, fund the account, choose a bot using KPIs (Sharpe, Sortino, Max Drawdown, Profit Factor), and deploy with one click.
- Prizes: 💵 100 USDC welcome bonus for all participants + YIEDL token rewards for the top 3.
- [Session 3] The Future: Roadmap & Continuity — 15 min + 15 min (Q+A)
- We close with upcoming markets, new competitions, and platform evolution, outlining how to continue—either by refining models for weekly rewards or scaling capital as an investor. Final Q&A and networking.
- [Intro] The Vision: Bridging Research and Capital — 30 min
-
Crunch Workshop
- Source: Link
- Description: From zero to live in 4 Decentralized AI Opportunities
- Note: Beware this is a 3 to 4 hours Workshop!
- Who is Crunch: We are a decentralized intelligence platform where Financial institutions tap into thousands of data scientists to produce and crowdsource predictive models on live financial problems.
- This workshop is led by Crunch Founder and CEO Jean Herelle.
- Each session is designed to get you from zero to a competitive baseline by end of workshop.
- [Intro] - Platform introduction and fundamentals - 15min + 10min Q&A
- How does Crunch really works in production? How does rewards, scoring, tokenomics work at model node and protocol level? What’s the platform direction and roadmap for coming year?
- [Session 1] - Datacrunch New Dataset Release - ⍺H Long / Short Equity - 30min
- Datacrunch’s most significant dataset upgrade to date, rebuilt from the ground up based on the fund’s first eight months of live trading. Dataset structure, Target definition, Live EDA on extended history and larger cross section, Modeling implications of the 28 day forward return., Live walkthrough and submission
- [Session 2] - Falcon Game - Institutional low frequency eFX - 30min
- An anonymized high frequency dataset provided by one of the largest institutional banks to improve their Forex Market Making. Designed by Peter Cotton, this dataset reflects real production constraints including a 20ms maximum inference time. How to handle high resolution time series data? Live EDA. Latency aware modeling Open Discussion / Q&A, Live walkthrough and submission.
- [Session 3] - ADIA Lab Time Series Structural Break Modeling Challenge - 30min
- Built with Marco Lopez de Prado’s team at ADIA Lab. Structural break concept, dataset and scoring, Top 2025’ Submission, Open discussion and Q&A, Live walkthrough and submission
- [Session 4] - Synth - Crypto Derivatives on Bittensor - 30min
- One of the highest paying Bittensor subnets today ($300k / month) in rewards for predicting Monte Carlo distributions of future crypto returns. Dataset and pipeline overview, distributional forecasting intuition, Open Discussion and Q&A, Live walkthrough and submission
- [Session 5] - The Coordinator Framework - 30min
- Crunch is selecting 5 teams to launch their own collective intelligence initiative and start gathering predictions from the community. Overview of tooling, incentives, and best practices for running production grade modeling markets on Crunch.
- Why attend
- You can read the docs anytime.
- Accelerated submission to 4 tournament in one afternoon
- If you want to understand how real modeling markets are built and what edge you could actually build from it, this is it.
- [Intro] - Platform introduction and fundamentals - 15min + 10min Q&A