Artificial intelligence agents for investment strategies
The AI hedge fund uses autonomous agents to automate financial market analysis and asset management processes. This Python-based project offers an artificial intelligence team model that develops investment strategies by processing market data.
Updates
- September 19, 2026: Stars 62,721 → 63,515, latest release v2.3.0 (September 18, 2026).
- August 7, 2026: Stars 62,684 → 62,721, latest release v2.2.0 (August 7, 2026).
- August 6, 2026: Stars 62,606 → 62,684, latest release v2.1.0 (August 4, 2026).
- August 2, 2026: Stars 61,500 → 62,606, latest release v2.0.2 (July 30, 2026).
What you get
- Autonomous agents analyzing financial market data
- Modeling representing different investment schools
- Possibility to test strategies with historical data
Installation
git clone https://github.com/virattt/ai-hedge-fund.git
cd ai-hedge-fundpoetry installRunning it
poetry run python src/main.py --ticker AAPL,MSFT,NVDAIf you don't write code
This tool uses autonomous agents that mimic the strategies of famous investors such as Warren Buffett, Peter Lynch, and Michael Burry to analyze financial markets. By giving certain stock symbols (e.g. AAPL, MSFT) to AI agents, you can examine how these agents evaluate market data, fundamental indicators and technical analysis and make decisions with the logic of a mutual fund.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-13: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.