Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoning

This repository includes the artifacts from the ACM Web Conference 2026 (WWW'26) paper entitled Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoning

Overview

We model and detect manipulative bots in the meme coin market.

We propose a manipulation-resistant copy-trading system based on a multi-agent architecture powered by a multi-modal, explainable large language model (LLM).

Repository Structure

• environ/: Environment configuration files and utilities.
• scripts/: Python scripts for data fetching, processing, and running the multi-agent system
• diagram/: Diagrams and figures used in the README and paper.

Quick Start

1. Set up the environment

• Clone the repository

git clone https://github.com/lyc0603/copytrading.git
cd copytrading

• Give execute permission to your script and then run setup_repo.sh

chmod +x setup_repo.sh
./setup_repo.sh
. venv/bin/activate

• Set up the environmental variables

• Rename the .env.example file into .env.

• Put your Snowflake and OpenAI APIs in .env:

SNOWFLAKE_USER = "..."
OPENAI_API = "..."

2. Fetch Pumpfun Data

• Fetch Pre-Trump data

python scripts/fetch_pumpfun.py \
    --category pre_trump_raydium \
    --num 1000 \
    --timestamp "2024-10-17 14:01:48"

python scripts/fetch_pumpfun.py \
    --category pre_trump_pumpfun \
    --num 3000 \
    --timestamp "2024-10-17 14:01:48"

• Fetch Post-Trump data

python scripts/fetch_pumpfun.py \
    --category raydium \
    --num 1000 \
    --timestamp "2025-01-17 14:01:48"

python scripts/fetch_pumpfun.py \
    --category pumpfun \
    --num 3000 \
    --timestamp "2025-01-17 14:01:48"

3. Run the Multi-Agent System

• Run the main script

python scripts/multi_agent.py

License

This project is licensed under the MIT License - see the LICENSE file for details.

Citation

@inproceedings{luo2026resisting,
  title     = {Resisting Manipulative Bots in Meme Coin Copy Trading: A Multi-Agent Approach with Chain-of-Thought Reasoning},
  author    = {Yichen Luo and Yebo Feng and Jiahua Xu and Yang Liu},
  booktitle = {Proceedings of the ACM Web Conference (WWW)},
  year      = {2026},
  doi       = {10.1145/3774904.3792635}
}