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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.
Open source software that helps you create and deploy high-frequency crypto trading bots
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
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Bitcart is a free and open-source self-hosted payment processor for BTC, LTC, BCH, XMR, ETH, TRX, USDT and more
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
Trading environnement for RL agents, backtesting and training.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence