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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.
Agent skill for OpenClaw and DeepSeek Harness enabling intelligent A-share stock selection, quantitative analysis, and stock pool management.
ABU Quantitative Trading System is an open-source Python framework for quantitative investment, supporting US stocks, A-shares, HK stocks, futures, options, and Bitcoin. It features backtesting, position management, and machine learning optimization.
CCXT is a unified crypto trading API library supporting 100+ exchanges and prediction markets across JavaScript, TypeScript, Python, C#, PHP, Go, Java and Rust, with normalized REST and WebSocket access for market data and algorithmic trading.
A-share full-stack data toolkit with 12-layer architecture, 60 endpoints, 22 data sources, zero authentication, providing packaged A-share data acquisition for AI coding assistants.
