StockSim

by harrypapa2002 · Agent Tool · ★ 23

About StockSim

StockSim: Multi-Agent LLM Financial Market Simulation Platform 🔗 Live Demo: harrypapa2002.github.io/StockSim 📄 Paper: StockSim: Multi-Agent LLM Financial Market Simulation Platform (arXiv:2507.09255) StockSim is a comprehensive, open-source simulation platform designed for systematic evaluation of Large Language Models (LLMs) in realistic financial decision-making environments. The platform provides unprecedented capabilities for studying LLM behavior in dynamic, multi-agent trading scenarios.

algorithmic-tradinganthropicasyncbacktestingdockerfinancial-aifinancial-marketsllmmulti-agent-systemsnlp

Quick Facts

Stars23
Forks3
LanguagePython
CategoryAgent Tool
Quality Score63.7711036782465/100
Open Issues1
Last Updated2025-07-15
Created2025-07-04
Platformsdocker, python
Est. Tokens~768k

Compatible Skills

These tools work well together with StockSim for enhanced workflows:

  • tradememory-protocol — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • composer-trade-mcp — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • alpaca-mcp-server — semantic(0.27)+complementary+rare_topics+same_lang+shared_platform (58%)

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Frequently Asked Questions

What is StockSim?

StockSim is 💹 StockSim: Multi-Agent LLM Financial Market Simulator — A realistic trading simulation platform for evaluating large language models in dynamic financial environments.. It is categorized as a Agent Tool with 23 GitHub stars.

What programming language is StockSim written in?

StockSim is primarily written in Python. It covers topics such as algorithmic-trading, anthropic, async.

How do I install or use StockSim?

You can find installation instructions and usage details in the StockSim GitHub repository at github.com/harrypapa2002/StockSim. The project has 23 stars and 3 forks, indicating an active community.

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