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THE FIRST COLLECTIONVectorBT is an open-source Python backtesting library that vectorizes strategy research: it packs thousands of parameter combinations into NumPy arrays and accelerates them with Numba and an optional Rust engine, plus portfolio analytics and interactive Plotly visualization.
Backtesting.py is a Python library for backtesting trading strategies. It offers a simple API, fast execution, a built-in optimizer, composable base strategies, and interactive visualizations for analyzing OHLC(V) financial data.
A local-first paper trading and quantitative research engine tailored for China A-share rules. It features built-in strategies, T+1/lot size/limit price validation, multi-source data verification, layered risk control, and Docker deployment with offline deterministic demos.
Self-hosted trading journal with Go API and React web UI. Features dashboard, P&L calendar, trade log, playbook, reports, alerts, bar-replay backtester, and native iOS/Android companion app.
