trading-strategies

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Python toolkit for quantitative finance

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

A bitcoin trading bot written in node - https://gekko.wizb.it/

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

modular quant framework.

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Quant/Algorithm trading resources with an emphasis on Machine Learning

Algorithmic Trading in Python with Machine Learning

Statistical and Algorithmic Investing Strategies for Everyone

Quantitative analysis, strategies and backtests

C++ DataFrame for statistical, financial, and ML analysis in modern C++

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Python library for portfolio optimization built on top of scikit-learn

Use unsupervised and supervised learning to predict stocks

Python AutoML for Trading Systems and Sports Betting