FreedomIntelligence

TwinMarket

Name: TwinMarket
Author: FreedomIntelligence

AI community

SOURCE https://github.com/FreedomIntelligence/TwinMarket

Description

[NeurIPS 2025 & ICLR 2025 Financial AI Best Paper Award] A multi-agent framework that leverages LLMs to simulate socio-economic systems

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets

[![arXiv](https://img.shields.io/badge/arXiv-2502.01506-b31b1b.svg)](https://arxiv.org/abs/2502.01506) [![Project Page](https://img.shields.io/badge/Project-Page-blue.svg)](https://freedomintelligence.github.io/TwinMarket/) [![LinkedIn](https://img.shields.io/badge/LinkedIn-Post-0A66C2.svg)](https://www.linkedin.com/feed/update/urn:li:activity:7325176225235173376/) [![Jiqizhixin](https://img.shields.io/badge/机器之心-Post-0A66C2.svg)](https://mp.weixin.qq.com/s/hxarK4Rxwd4W5mxCMfo_uQ) [![README](https://img.shields.io/badge/README-English-green.svg)](README.md) [![README_zh](https://img.shields.io/badge/README-中文-green.svg)](README_zh.md)

💡 Update

09/2025: TwinMarket was accepted to NeurIPS 2025. See you in San Diego! 🌊
04/2025: TwinMarket won the Best Paper Award 🏆 at the Advances in Financial AI Workshop @ ICLR 2025.

📖 Overview

TwinMarket is an innovative stock market simulation system powered by Large Language Models (LLMs). It simulates realistic trading environments through multi-agent collaboration, covering personalized trading strategies, social network interactions, and news/information analysis for an end-to-end market simulation.

🎯 Key Features

🤖 Intelligent Trading Agents: LLM-driven, personalized decision-making
🌐 Social Network Simulation: Forum-style interactions and user relationship graphs
📊 Multi-dimensional Analytics: Technical indicators, news, and market sentiment
🎲 Behavioral Finance Modeling: Includes disposition effect, lottery preference, and more
⚡ High-performance Concurrency: Scalable simulation for large user populations
**📈 Re