The-Swarm-Corporation/AutoHedgePublic

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

AI summary: An enterprise-grade autonomous agent hedge fund for end-to-end market analysis and execution.

Stars
6K
+92 today
Forks
865
Watchers
45
Open issues
6
Open PRs
12
Contributors
~2
Commits
37
Branches
10

PythonMITCreated Dec 10, 2024Last push 4mo ago+746 stars this week+746 this month

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since Sep 28, 2025
02K4K6KSep 2025Jan 2026May 2026Sep 2026
6K stars as of Sep 10, 2026, tracked back to Sep 28, 2025. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

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11 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Rising fast

    +746 stars this week

  • Permissive license

    MIT

  • Repeat trending

    3 trending appearances

What AutoHedge does

AutoHedge operates as an autonomous agent hedge fund that executes trades using swarm intelligence. It utilizes a multi-agent architecture where specialized agents handle different stages of the trading pipeline, from generating theses to managing risk and executing orders. The system currently supports full autonomous trading on the Solana blockchain, with plans to expand to other exchanges. It is built with a risk-first approach, ensuring institutional reliability through comprehensive logging and structured outputs.

AutoHedge is designed for quantitative traders, crypto funds, and developers interested in AI-driven finance. It requires an understanding of algorithmic trading and blockchain ecosystems.

  • Multi-agent architecture: Employs specialized agents like a Director and a Quant for distinct trading tasks.
  • End-to-end automation: Handles the entire process from market analysis to final order execution.
  • Solana integration: Currently supports fully autonomous trading execution on the Solana network.
  • Risk-first design: Prioritizes risk management and sizing before executing any generated trading strategies.
  • Swarm intelligence: Combines the outputs of multiple AI agents to validate and refine trading theses.

Where teams use it

Autonomous crypto trading

Users deploy the system to automatically analyze Solana markets and execute trades without human intervention.

Strategy generation

Quants utilize the Director Agent to continuously generate and test new trading theses based on market data.

Risk management automation

Funds use the specialized agents to enforce strict risk parameters on automated trading strategies.

Multi-agent coordination

Developers study the architecture to understand how specialized AI agents can collaborate on complex financial tasks.

Getting started: https://github.com/The-Swarm-Corporation/AutoHedge

README

main branch

AutoHedge

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AutoHedge is an enterprise-grade autonomous agent hedge fund that trades on your behalf. It combines swarm intelligence and specialized AI agents to perform end-to-end market analysis, risk management, and execution with minimal human intervention.

Current support: Full autonomous trading on Solana. Coming soon: Coinbase and additional exchanges.


Overview

AutoHedge is built to be the world's most powerful autonomous agent hedge fund. It runs continuous analysis, generates and validates trading theses, sizes risk, and executes orders across supported venues. The system is designed for institutional reliability: structured outputs, comprehensive logging, and a risk-first architecture that scales from single strategies to multi-venue, multi-asset deployment.


Features

  • Multi-Agent Architecture: Specialized agents for each stage of the trading pipeline

    • Director Agent: strategy and thesis generation
    • Quant Agent: technical and statistical analysis
    • Risk Management Agent: position sizing and risk assessment
    • Execution Agent: order generation and execution
  • Real-Time Market Analysis: Integration with live market data for analysis and execution

  • Risk-First Design: Built-in risk management and position sizing before any execution

  • Structured Output: JSON-formatted recommendations and analysis for downstream systems

  • Enterprise Logging: Detailed, configurable logging for audit and debugging

  • Extensible Framework: Modular design for custom strategies and new venues


Supported Venues

Venue Status Notes
Solana Supported Full autonomous trading
Coinbase Coming soon In development
Other CEX Roadmap Planned expansion

Quick Start

Installation

pip install -U autohedge

Environment Variables

# Jupiter API (token price & search tools)
# Get a key at https://portal.jup.ag
JUPITER_API_KEY=

# OpenAI (experimental agents)
OPENAI_API_KEY=
ANTHROPIC_API_KEY=
WORKSPACE_DIR="agent_workspace"

# Trading
WALLET_PRIVATE_KEY=""

See .env.example for a full reference.

Basic Usage

autohedge 

Architecture

AutoHedge uses a multi-agent pipeline where each agent has a defined responsibility:

graph TD
    A[Director Agent] --> B[Quant Agent]
    B --> C[Risk Manager]
    C --> D[Execution Agent]
    D --> E[Trade Output]
Loading

Contributing

Contributions are welcome. See Contributing Guidelines for details.

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/AmazingFeature)
  3. Commit changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

MIT License. See LICENSE for details.


Acknowledgments

  • Swarms for the AI agent framework

Support


AutoHedge by The Swarm Corporation

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11 commits in the last 52 weeks.

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