harrypapa2002/StockSim

💹 StockSim: Multi-Agent LLM Financial Market Simulator — A realistic trading simulation platform for evaluating large language models in dynamic financial environments.

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/ 100
Experimental

This platform helps quantitative researchers and strategists evaluate how well Large Language Models (LLMs) can make financial trading decisions. You provide historical market data and LLM configurations, and the system simulates a realistic market environment with various trading agents, including LLM-powered ones. The output includes detailed performance metrics, trading logs, and interactive charts to analyze the LLMs' trading behavior and profitability.

No commits in the last 6 months.

Use this if you need to rigorously test and compare the performance of different LLM strategies or traditional algorithmic trading models within a dynamic, multi-agent financial market.

Not ideal if you are looking for a simple tool to backtest a single trading strategy or if your primary focus is not on evaluating LLMs in a market context.

quantitative-finance algorithmic-trading financial-modeling market-simulation AI-strategy-evaluation
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 7 / 25
Community 11 / 25

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Stars

23

Forks

3

Language

Python

License

Last pushed

Jul 15, 2025

Commits (30d)

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