Polymarket Autonomous Trader
Enables autonomous trading on Polymarket prediction markets using natural language thesis descriptions, with risk management and MCP integration.
README
Polymarket Autonomous Trader
Claude-powered autonomous trading system for Polymarket prediction markets.
Features
- Thesis → Markets: Describe an investment thesis in natural language; Claude finds, scores, and recommends the best markets to trade
- Autonomous Trading: Claude monitors markets continuously and executes within configurable risk limits
- MCP Integration: All trading capabilities exposed as MCP tools in Claude Desktop / Claude Code
- Risk Management: Configurable position limits, daily loss limits, exposure caps
- HFT Extension Point: Abstract pricing engine interface ready for Kelly criterion, ML models, or poker-inspired strategies
- Confirm-Before-Trade: Safe default mode — Claude proposes, you approve
Prerequisites
- Python 3.11+
- uv package manager
- A Polymarket account with USDC on Polygon
- Your wallet's private key
- An Anthropic API key
Setup
1. Install dependencies
curl -LsSf https://astral.sh/uv/install.sh | sh
cd /path/to/Polymarket
uv sync
2. Configure secrets
cp .env.example .env
# Edit .env with your POLYMARKET_PRIVATE_KEY, POLYMARKET_WALLET_ADDRESS, and ANTHROPIC_API_KEY
3. Generate CLOB API credentials (one-time)
uv run python scripts/setup_credentials.py
# Copy the printed API_KEY, API_SECRET, API_PASSPHRASE into .env
4. Configure risk limits
Edit config.yaml to set position sizes, loss limits, and approval mode.
5. Connect to Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"polymarket-trader": {
"command": "uv",
"args": [
"--directory",
"/Users/parthgosalia/Desktop/Polymarket",
"run",
"python",
"-m",
"polymarket_trader.mcp.server"
]
}
}
}
Restart Claude Desktop. The trading tools will appear automatically.
Usage
Search markets
"Search for markets about the 2026 US midterm elections"
Thesis-driven trading
"Analyze my thesis: AI regulation will pass in the EU before end of 2026"
Check portfolio
"Show me my current positions and P&L"
Autonomous loop
"Start monitoring markets for my thesis that crypto will have a major regulatory event in 2026"
Toggle autonomous mode
"Set approval mode to autonomous" (trades within your risk limits without asking)
Risk Limits (config.yaml)
| Setting | Default | Description |
|---|---|---|
approval_mode |
confirm |
confirm = approve each trade; autonomous = auto-execute |
max_position_size_usdc |
100 | Max size per single position |
max_total_exposure_usdc |
500 | Max total open exposure across all positions |
daily_loss_limit_usdc |
50 | Halt trading if daily losses exceed this |
min_edge_threshold |
0.03 | Min probability edge (3%) required to trade |
max_kelly_fraction |
0.25 | Cap Kelly sizing at 25% of theoretical |
HFT Extension
To plug in a custom pricing engine (e.g., ML-based or poker-inspired HFT):
- Subclass
PricingEnginefromsrc/polymarket_trader/pricing/base.py - Implement
compute_signal()andcalibrate() - Register the engine name in
config.yamlunderapi.pricing_engine
See src/polymarket_trader/pricing/base.py for the full interface.
Architecture
MCP Server (Claude ↔ Tools)
↓
TradeExecutor (orchestration)
├── CLOBConnector ← py-clob-client (orders, orderbook, auth)
├── GammaConnector ← market search
├── DataConnector ← positions, P&L
├── ClaudeAnalyst ← thesis scoring, probability estimation
├── PricingEngine ← Kelly/HFT signal generation
└── RiskManager ← limits, approval gates
Running Tests
uv run pytest
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