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一分钟完成验证正在加载完整 README。 以下为已保存的摘录。
A full-stack backtesting tool that compares a rule-based technical strategy, a machine-learning strategy, and a buy-and-hold benchmark on real historical price data — built to demonstrate correct backtesting methodology (no lookahead bias) as much as the strategies themselves.
Live demo: algorithmic-backtester.vercel.app
API: quant-backtester-api-6eei.onrender.com (health check at /api/health)
The backend is deployed on Render's free tier, which spins down after inactivity. The first request after idling can take 30–50 seconds to wake up — that's expected, not a bug.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
A full-stack backtesting tool that compares a rule-based technical strategy, a machine-learning strategy, and a buy-and-hold benchmark on real historical price data — built to demonstrate correct backtesting methodology (no lookahead bias) as much as the strategies themselves.
Live demo: algorithmic-backtester.vercel.app
API: quant-backtester-api-6eei.onrender.com (health check at /api/health)
The backend is deployed on Render's free tier, which spins down after inactivity. The first request after idling can take 30–50 seconds to wake up — that's expected, not a bug.查看完整 README ↗