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Add FinClaw: AI-native quant engine with genetic algorithm evolution (#74)
FinClaw is a Python-based quantitative finance engine that uses genetic algorithms to automatically evolve trading strategies. Key features: - 484 built-in factors (technical, fundamental, sentiment, crypto) - Walk-forward validation to prevent overfitting - Multi-market support: A-shares, US stocks, cryptocurrency - 7900+ tests, CI/CD, PyPI published (pip install finclaw-ai) GitHub: https://github.com/NeuZhou/finclaw Co-authored-by: NeuZhou <neuzhou@users.noreply.github.com>
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@@ -96,6 +96,7 @@ And I count crypto as whole new category: [>> Click ME to Systematic Crypto](cry
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- [VARRD](https://github.com/augiemazza/varrd)   | `Python` | - AI-powered trading research platform that validates any trading idea with event studies, statistical tests, and real market data across 15,000+ instruments. CLI, Python SDK, and MCP server.
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- [InvicTrade](https://invictrade.com) - AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.
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- [BullBear](https://github.com/DunkinGuys/bullbear)   | `TypeScript` | - Open-source AI agent stock trading battle platform. AI agents get $100K virtual cash, trade real US stock prices, and compete on a public leaderboard with social feed.
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- [FinClaw](https://github.com/NeuZhou/finclaw)   | `Python` | - AI-native quantitative finance engine with genetic algorithm strategy evolution. 484 built-in factors, walk-forward validation, multi-market support (A-shares, US, crypto). Strategies evolve themselves via GA — no manual parameter tuning needed.
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- [OpenFinClaw](https://github.com/cryptoSUN2049/openFinclaw)   | `TypeScript` | - AI-native systematic trading framework. Natural language strategy generation, multi-market execution (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard. Built on OpenClaw (68K+ stars).
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- [StockKit](https://stockkit.net/) ([GitHub](https://github.com/kentmswood-ui/stockkit)) | `TypeScript` | - Free AI-powered stock research reports delivered daily. Wall Street-grade analysis for US, China & HK stocks using Claude Opus and multi-model AI engine. 20+ technical indicators, automated email delivery.
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@@ -82,6 +82,7 @@ Note: 如果标有`Live Trading` 表示具有实时交易功能(至少一个
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- [backtrader](https://github.com/mementum/backtrader) | `Python`, `Live Trading` | - 用于交易策略的事件驱动 Python 回测库
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- [FlashFunk](https://github.com/HFQR/FlashFunk) | `Rust` | - High Performance Runtime in Rust
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- [finmarketpy](https://github.com/cuemacro/finmarketpy) | `Python` | - 用于回测交易策略和分析金融市场的 Python 库(formerly pythalesians)
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- [FinClaw](https://github.com/NeuZhou/finclaw) | `Python` | - AI原生量化金融引擎,内置遗传算法策略进化。484个内置因子、Walk-Forward验证、多市场支持(A股、美股、加密货币)。策略通过GA自动进化,无需手动调参。
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- [gobacktest](https://github.com/gobacktest/gobacktest) | `Go` | - 基于Go的事件驱动回测框架
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- [lumibot](https://github.com/Lumiwealth/lumibot/tree/8da88cadfe9ee35399dd69c94aa5ed3cf995f417) | `Python` | - 一个非常简单但有用的回测和基于样本的实时交易框架(运行起来有点慢......)
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- [nautilus_trader](https://github.com/nautechsystems/nautilus_trader) | `Python`, `Cython`, `Rust`, `Live Trading` | - 高性能算法交易平台和事件驱动回测器
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