NeuZhou/finclaw

AI-native quantitative finance engine. Quotes, backtesting, paper trading, strategy evolution, and MCP server.

40
/ 100
Emerging

Leverages genetic algorithms to autonomously evolve trading strategies across 484 technical, sentiment, and DRL factors—eliminating manual signal design—validated via walk-forward backtesting and Monte Carlo simulation. Supports crypto, A-shares, and US markets with zero API key setup, exposes strategies as MCP tools for Claude/Cursor integration, and employs NSGA-III multi-objective optimization to discover Pareto-optimal strategy frontiers rather than single fitness scores.

No Package No Dependents
Maintenance 13 / 25
Adoption 5 / 25
Maturity 9 / 25
Community 13 / 25

How are scores calculated?

Stars

10

Forks

2

Language

Python

License

MIT

Last pushed

Mar 18, 2026

Commits (30d)

0

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