FinRL®: Financial Reinforcement Learning. 🔥

Quant/Algorithm trading resources with an emphasis on Machine Learning

For trading. Please star.

A javascript technical indicators written in typescript with pattern recognition right in the browser

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

List of awesome resources for machine learning-based algorithmic trading

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.

Stock Trading Bot using Deep Q-Learning

The Official Python SDK for Alpaca API

Korea Investment & Securities Open API Github

📊 Financial markets data library implemented in go.

Alpaca Trading API integrated with backtrader

A stock trading bot that uses machine learning to make price predictions.

Poloniex API wrapper for Python 2.7 & 3

Candlestick patterns detector

Teaches step-by-step to analysis stock data in python.

Programs for stock prediction and evaluation