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Find covering portfolios across correlated prediction markets using predefined rules and LLM decisions. The system detects relationships between markets, classifies them to identify hedging pairs, and tracks their prices. The platform offers a smooth UI for entering detected pairs when profit opportunities exist and tracking your positions.
For a good experience, you'll need to add an LLM from OpenRouter and an RPC node (see .env.example).
- Groups - Fetches multi-outcome markets from Polymarket (e.g., "Presidential Election Winner")
- Implications - LLM extracts logical relationships between groups
- Portfolios - Finds position pairs that hedge each other with high coverage probability
- Positions - Tracks your purchased position pairs
cp .env.example .env
# With make
make install && make dev
# Without make
cd backend && uv sync
cd frontend && npm install
cd backend && uv run python -m uvicorn server.main:app --port 8000 &
cd frontend && npm run devDashboard: http://localhost:3000 · API: http://localhost:8000/docs
With make (auto-detects fnm/nvm/volta):
make install # Install deps
make dev # Start both serversWithout make:
# Backend
cd backend && uv sync
cd backend && uv run python -m uvicorn server.main:app --reload --port 8000
# Frontend
cd frontend && npm install
cd frontend && npm run devDisclaimer: This software is provided as-is for educational and research purposes only. It is not financial advice. Trading prediction markets involves risk—you may lose money. Use at your own discretion.

