Autohedge
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.
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What is Autohedge?
AutoHedge is an enterprise-grade autonomous agent hedge fund that trades on your behalf by combining swarm intelligence and specialized AI agents to perform end-to-end market analysis, risk management, and trade execution with minimal human intervention. The system runs continuous analysis, generates and validates trading theses, sizes risk, and executes orders across supported venues with institutional-grade reliability.
Key features include a multi-agent architecture with four specialized agents: Director Agent for strategy and thesis generation, Quant Agent for technical and statistical analysis, Risk Management Agent for position sizing and risk assessment, and Execution Agent for order generation and execution. The system offers real-time market analysis integration, risk-first design with built-in position sizing before execution, JSON-formatted structured outputs for downstream systems, enterprise-grade configurable logging for audit and debugging, and an extensible modular framework for custom strategies and new venues.
AutoHedge is designed for individual traders, small trading firms, quant developers, financial institutions, and anyone interested in autonomous trading who wants to build and deploy their own hedge fund in minutes. It currently supports full autonomous trading on Solana, with Coinbase and additional exchanges coming soon.
Autohedge pricing
Pricing model: Freemium
AutoHedge is open-source under MIT license and free to use. The pip package can be installed with 'pip install -U autohedge'. Users only pay for external API costs: OpenAI API for agent operations and Jupiter API for token price data. Jupiter API keys are obtained free at portal.jup.ag. No platform fees or subscription charges from AutoHedge itself.
Autohedge pros
- Fully autonomous trading on Solana
- Multi-agent architecture with specialized roles
- Director Agent generates sophisticated trading theses
- Quant Agent performs deep technical analysis
- Risk Management Agent handles position sizing
- Execution Agent manages precise order placement
- Risk-first architecture prevents uncontrolled trades
- Real-time market data integration
- JSON structured outputs for downstream systems
- Enterprise-grade comprehensive logging
- Open-source MIT license for commercial use
- Extensible modular design for custom strategies
- Supports multi-venue multi-asset deployment
- No coding experience required for basic usage
- Can monitor multiple assets simultaneously
Autohedge cons
- Only Solana fully supported currently
- Coinbase integration still in development
- Requires external OpenAI API key
- OpenAI API costs and usage limits apply
- Requires Jupiter API key for price data
- Needs wallet private key for trading
- Chinese market data not currently supported
- No backtesting module yet available
Frequently asked questions about Autohedge
What is AutoHedge?
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, allowing you to build your autonomous hedge fund in minutes.
Do I need coding experience to use AutoHedge?
No. While Python examples show advanced features, non-tech users can generate complete reports by calling the run() method. The system pre-defines common U.S. stock symbols making it accessible even for beginners.
Which exchanges does AutoHedge support?
Currently, AutoHedge supports full autonomous trading on Solana. Coinbase integration is coming soon and is in development. Other centralised exchanges are on the roadmap for planned expansion.
What AI agents does AutoHedge use?
AutoHedge uses four specialized agents: Director Agent for strategy and thesis generation, Quant Agent for technical and statistical analysis, Risk Management Agent for position sizing and risk assessment, and Execution Agent for order generation and execution.
Can I monitor multiple assets at once?
Yes. You can pass a stock list during initialization. The system assigns separate agents for technical analysis and risk assessment for each asset simultaneously.
What APIs do I need to set up?
You need an OpenAI API key for experimental agents, a Jupiter API key for token price and search tools (get it at portal.jup.ag), and your wallet private key for trading on Solana.
Is AutoHedge free to use?
Yes, AutoHedge is open-source under the MIT License permitting broad use including commercial applications. You only pay for external API costs like OpenAI and Jupiter API calls.
What is the risk management approach?
AutoHedge uses a risk-first design with built-in risk management and position sizing before any execution. The Risk Management Agent assesses trade risks and determines position sizing to ensure institutional reliability.
Can I customize AutoHedge for my strategy?
Yes. AutoHedge has an extensible framework with modular design for custom strategies and new venues. Contributions are welcome via pull requests to the GitHub repository.
What happens if errors occur?
AutoHedge provides error codes for troubleshooting. The system includes enterprise-grade comprehensive logging for audit and debugging, and you can get support through GitHub Issues or the Discord community.