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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Python toolkit for quantitative finance
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An advanced crypto trading bot written in Python
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
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Algorithmic Trading in Python with Machine Learning
TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.
Statistical and Algorithmic Investing Strategies for Everyone
A Java library for technical analysis.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Open-source Rust framework for building event-driven live-trading & backtesting systems
Python library for portfolio optimization built on top of scikit-learn
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Machine Learning in Asset Management (by @firmai)
Python AutoML for Trading Systems and Sports Betting
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Asynchronous, event-driven algorithmic trading in Python and C++
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
A Python library for evaluating option trading strategies.