autohedge-swarm
AutoHedge — enterprise-grade autonomous hedge fund using swarm agent architecture. Sequential pipeline: Director → Quant → Risk Manager → Execution agents. Risk-first design: position sizing before any trade execution. Currently supports Solana; Coin
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- 2026년 4월 23일 08:40
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소스 지침 · 읽기 전용 미리보기- name
- autohedge-swarm
- description
- AutoHedge — enterprise-grade autonomous hedge fund using swarm agent architecture. Sequential pipeline: Director → Quant → Risk Manager → Execution agents. Risk-first design: position sizing before any trade execution. Currently supports Solana; Coin
# autohedge-swarm
USE FOR:
- "autonomous hedge fund agent"
- "swarm agents for trading"
- "director + quant + risk manager pipeline"
- "Solana autonomous trading"
- "enterprise AI trading system"
- "risk-first automated trading"
tags: [swarm, agents, hedge-fund, autonomous, Solana, risk-and-portfolio, enterprise, multi-agent, quant]
kind: framework
category: quant-ml-trading
---
## What Is AutoHedge?
Enterprise-grade autonomous agent hedge fund using **swarm intelligence**.
Specialized agents sequentially handle strategy, analysis, risk, and execution.
- Repo: https://github.com/The-Swarm-Corporation/AutoHedge
- Install: `pip install -U autohedge`
- Current: Solana trading (Coinbase planned)
- Philosophy: **Risk-first** — position sizing happens before execution
---
## Swarm Agent Pipeline
```
Director Agent
↓ Strategy generation + market context
Quant Agent
↓ Quantitative analysis + signal generation
Risk Manager Agent
↓ Position sizing + risk assessment + approval
Execution Agent
↓ Order construction + submission
Trade Output (JSON)
```
---
## Installation
```bash
pip install -U autohedge
```
**Environment variables:**
```bash
JUPITER_API_KEY="..." # Solana DEX aggregator
OPENAI_API_KEY="sk-..." # or ANTHROPIC_API_KEY
WALLET_PRIVATE_KEY="..." # Solana wallet
```
---
## Usage
```bash
autohedge
```
Or programmatically:
```python
from autohedge import AutoHedge
fund = AutoHedge(
llm_provider="anthropic", # Director/Quant use Claude
risk_threshold=0.02, # Max 2% portfolio risk per trade
chain="solana",
)
result = fund.analyze_and_trade("SOL/USDC")
print(result) # JSON: analysis + decision + risk metrics
```
---
## Agent Responsibilities
| Agent | Role |
|-------|------|
| **Director** | Market context, strategy selection |
| **Quant** | Price analysis, signals, technicals |
| **Risk Manager** | Position sizing, max drawdown limits |
| **Execution** | Order construction, submission |
---
## Output Format (JSON)
```json
{
"ticker": "SOL/USDC",
"director_analysis": "Bullish momentum...",
"quant_signals": {"rsi": 58, "macd": "bullish"},
"risk_assessment": {"position_size": 0.015, "stop_loss": 0.02},
"decision": "BUY",
"execution": {"order_type": "market", "size": 10.5}
}
```
---
## Key Design Principles
1. **Risk-first**: Never execute without risk approval
2. **Audit trail**: Enterprise logging at every step
3. **Modular**: Swap any agent or add custom stages
4. **Structured outputs**: All agents return JSON for system integration
---
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