Chapter 3 · GitHub facts 2026-10-22
ai-hedge-fund
What it does
The README calls this a proof of concept for an AI-powered hedge fund and states that the system does not actually make any trades. pyproject.toml depends on langchain-openai, langchain-anthropic, langchain-deepseek, langchain-google-genai, langchain-xai, and textual. This list files it as a simulation with specialized investing agents.
Repository facts
| Repository | virattt/ai-hedge-fund |
| GitHub description | An AI Hedge Fund Team |
| Stars | 64,139 |
| Forks | 11,259 |
| Created | 2024-11-29 |
| Default branch | main |
| Last commit | 2026-10-19 4e1657d |
| Last push | 2026-10-19 |
| License | MIT |
| Primary language | Python |
| Languages | Python, Makefile |
Source: GitHub API, 2026-10-22.
Technical stack
Primary language reported by GitHub: Python. Languages reported by GitHub: Python, Makefile.
Dependency files (package names only, as read on the fetch date):
pyproject.toml:langchain-anthropic,langchain-openai,langchain-deepseek,langchain-google-genai,langchain-xai,pandas,numpy,pydantic,textual
Activity
Last commit on the default branch main: 2026-10-19 (4e1657d). Subject: Bump version to 2.6.0.
Last push to the repository: 2026-10-19. Created: 2024-11-29.
Who it is for
For people studying investor-persona agents in a simulation. The README says the project is educational and does not place trades.
In this list
Filed under: Chapter 3.
Category note: Multi-Agent Decisions.
Related project pages: TradingAgents, Dexter.
Comparisons: Best open-source trading agents.