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QuantMind（量化大脑）开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台，提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析，到通达信深度联动（板块推送/预警雷达/闪电下单）与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用，系统采用 Docker Compose 一键私有化部署，数据与模型完全本地化，保障策略隐私，功能零门槛无限制。
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Python AutoML for Trading Systems and Sports Betting
(Predecessor to NexusTrade) A no-code algorithmic trading system
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Algorithmic trading framework for cryptocurrencies.
The modern cryptocurrency trading bot framework written in Go.
QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories.
Korea Investment & Securities Open API Github
看海量化回测平台 khQuant 开源版 V2.2：免费开源的 A 股量化回测桌面软件。不用开户、不用装 QMT，BaoStock / Tushare 下载数据到本地 DuckDB，Python 写策略，一键出回测报告。
A fast trading bot platform for cryptocurrency in Go (Binance)
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Scalable, event-driven, deep-learning-friendly backtesting library
The repository host gives no description.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
QuantJourney Backtester
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
DYT CN: reproducible China-market research CLI and agent skills
Deterministic, dependency-free Chan-theory (缠论) structure engine + multi-market trading workstation (A-shares / HK / US / crypto) with teaching chart annotations and a mobile PWA.
Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.
Replay recorded launches offline, count every fee, keep notes on each token.