This connects Claude to a genetic algorithm engine that evolves quantitative trading strategies instead of requiring you to write them. It exposes operations for backtesting across 484+ market factors (momentum, volume, volatility, crypto-native metrics), screening assets, and running walk-forward validation with Monte Carlo robustness checks. The engine breeds strategy DNA through multi-generation evolution, testing fitness with real transaction costs and anti-overfitting safeguards like combinatorial purged cross-validation. Reach for this when you want to discover trading rules programmatically rather than tune them manually, or when you need to validate strategies across US stocks and crypto with proper out-of-sample testing. It includes paper trading tracking and signal generation with git-committed history.
claude mcp add --transport stdio neuzhou-stratevo uvx stratevo