GitHub - agno-agi/investment-team
Contribute to agno-agi/investment-team development by creating an account on GitHub.
Open Source Project
Summary
An open-source Python project simulating an AI-powered hedge fund using multiple LLM agents modeled after famous investors like Buffett, Graham, and Munger. It combines valuation, sentiment, fundamentals, and technicals agents with a risk manager and portfolio manager for educational trading simulation.
Highlights
- Features 11 investor-persona agents (Buffett, Graham, Munger, Ackman, Wood, etc.) each with distinct investment philosophies
- Includes specialized analysis agents for valuation, sentiment, fundamentals, and technicals alongside a risk manager and portfolio manager
- Explicitly educational only — simulates trading decisions without executing real trades or providing investment advice
- Supports both Poetry and Docker for setup, and includes a backtester for historical performance analysis
- Built as a multi-agent system where agents collaborate to produce final trading signals and position sizing
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Context
Audience
Developers and AI enthusiasts interested in multi-agent systems, algorithmic trading concepts, and LLM applications in finance. Also suitable for students learning about investment strategies and portfolio management.
DomainAI / Algorithmic Trading
Formatopen-source code repository
Accessfree, open source on GitHub
Source Overview
An AI Hedge Fund Team. Contribute to virattt/ai-hedge-fund development by creating an account on GitHub.
Topics
Related
LLM multi-agent systemsAlgorithmic trading backtestingValue investing frameworksPython financial analysisLangChain / LLM agent orchestration
