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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
TranslatedAn open-source quantitative trading platform development framework based on Python
"Vibe-Trading: Your Personal Trading Agent"
Translatedstock. Get stock data, calculate stock indicators, chip distribution, identify stock patterns, comprehensive stock selection, stock selection strategies, stock verification and backtesting, automatic stock trading, supports PC and mobile devices.
TranslatedQUANTAXIS: a purely local quantitative solution for stocks/futures/options that supports task scheduling and distributed deployment, covering data/backtesting/simulation/trading/visualization/multiple accounts
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
modular quant framework.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Translated子瑜量研 (Ziyu Quant Research, "Ziyu quantitative research") | A local A-share quantitative research workbench: factor research and evolution, strategy backtesting, simulation validation, and traceable evidence. Product introduction and interactive demo.