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THE FIRST COLLECTIONVeighNa (VeighNa Studio) is an open-source Python-based quantitative trading framework with event-driven engine, supporting domestic/international market interfaces (CTP, IB, etc.) and modules for CTA strategies, algorithm trading, risk management, and data services. The 4.0 version introduces vnpy.alpha module for AI-powered multi-factor machine learning strategy development.
Agent skill for OpenClaw and DeepSeek Harness enabling intelligent A-share stock selection, quantitative analysis, and stock pool management.
AUB-HTP is a Python toolkit for analyzing Alpha Stable (Levy-Stable) distributions, offering PDF generation, random sampling for univariate and multivariate cases, and support for various parametrizations and spectral measures.
A Multimarket Stock Intelligent Analysis System Based on Large Language Models, Covering A-Shares, Hong Kong Stocks, US Stocks, and More, Supporting Multi-Source Market Data Aggregation, AI-Generated Decision Reports, and Automatic Push to Multiple Channels, with Zero-Cost Timed Execution and Web Platform with Strategy Stock Query Function.
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.
Qlib is an AI-oriented quantitative investment platform designed to cover the full ML pipeline from data processing and model training to back-testing and production.
