Open-source Rust framework for building event-driven live-trading & backtesting systems
- algo-trading
- algorithmic-trading
- algotrading
- backtesting
Repository Index
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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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.
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin, WEEX and Hyperliquid
- bybit
- futures
- trading
- algorithmic-trading
Agentic AI Hedge Fund OS (AIMM)
- trade-bot
- trade
- multiagent-systems
- agentic-trading
Python Crypto Bot (PyCryptoBot)
- backtester
- backtesting
- backtesting-trading-strategies
- binance
Zipline, a Pythonic Algorithmic Trading Library
为前端设计的无需 Python、无需后端服务、零依赖的获取股票数据 JavaScript SDK。
- free-stock-market-api
- stock-prices
- stocks
- stocks-api
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
- indicators
- technical-analysis
- stock-analysis
- stock-market
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。
- docker
- lightgbm
- python3
- qlib
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
- bitcoin
- machine-learning
- artificial-intelligence
- feature-engineering
The modern cryptocurrency trading bot framework written in Go.
- trading
- trading-bot
- cryptocurrency
- binance
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
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
- backtester
- backtester-python
- backtesting
- strategies
Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.
- strategy
- technical
- analysis
- stock
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
TranslatedMulti-market intelligent quantitative workbench (A-shares/Hong Kong stocks/US stocks) — secondary development based on shy3130/tickflow-stock-panel, adding multi-market support for Hong Kong and US stocks. Self-hosted stock screening + monitoring + backtesting. MIT.
- a-shares
- backtesting
- fastapi
- hongkong-stocks
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.
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.