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
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Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin, WEEX and Hyperliquid
- bybit
- futures
- trading
- algorithmic-trading
Python Crypto Bot (PyCryptoBot)
- backtester
- backtesting
- backtesting-trading-strategies
- binance
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
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
- bitcoin
- machine-learning
- artificial-intelligence
- feature-engineering
Python AutoML for Trading Systems and Sports Betting
- machine-learning
- predictive-analytics
- classification
- regression
Algorithmic trading framework for cryptocurrencies.
- crypto
- cryptocurrency
- cryptocurrencies
- cryptocurrency-exchanges
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
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
- 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.
TranslatedLow-code quant backtesting for China A-shares
- a-shares
- backtesting
- backtrader
- china-stock
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
- algorithmic-trading
- cryptocurrency
- ethereum
- moving-average