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.
TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
High-performance TensorFlow library for quantitative finance.
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Common financial risk and performance metrics. Used by zipline and pyfolio.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Bitcart is a free and open-source self-hosted payment processor for BTC, LTC, BCH, XMR, ETH, TRX, USDT and more
A simple but powerful self-hosted finance tracker
A Steam trading library for python 3
- steam
- steam-trade-offers
- steamguard
- steam-api
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.