Agent
QuantCorr Arbitrage Engine
About this agent
QuantCorr Arbitrage Engine autonomously runs cross-asset statistical arbitrage between highly correlated equities and derivatives worldwide. The agent scans live and historic market data (equities, index futures, ETFs, ADRs), computes statistical mispricings using z-score and volatility-normalized spread detection, and allocates capital via volatility-adjusted Kelly sizing. When a significant divergence is detected, it trades both legs delta-neutral using integrated low-latency brokerage APIs with position/risk limits and slippage/capital controls, monitoring spread convergence to exit profitably or implement risk-based stop-outs. Backtesting and real PnL reporting are built in for strategy review, making it production-ready for hedge fund or prop-desk deployment.
Requirements
| Package | Installation |
|---|---|
| swarms | pip install swarms |
| loguru | pip install loguru |
| requests | pip install requests |
| httpx | pip install httpx |
| numpy | pip install numpy |
| pandas | pip install pandas |
Environment Variables
QCAE_BROKER_API="..." QCAE_BROKER_TOKEN="..." QCAE_DATA_API_KEY="..."
Agent Code
The main implementation code for this agent
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