Trading Strategies
Showing 12 of 12 projects
An open-source, event-driven algorithmic trading engine for backtesting and live trading across multiple financial markets.
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
An open-source C# platform for algorithmic trading and quantitative analysis across stocks, forex, crypto, and options markets.
A collection of Python scripts for backtesting quantitative trading strategies, including technical indicators, options strategies, and quantamental analysis.
A curated list of practical financial machine learning tools, applications, and research repositories.
A modular quantitative finance framework for data collection, analysis, strategy backtesting, and machine learning across multiple markets.
A curated collection of high-quality resources for quantitative and algorithmic trading with a focus on machine learning applications.
A Python framework for developing and backtesting algorithmic trading strategies with machine learning.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A Java library for building, testing, and deploying automated trading strategies with 200+ technical indicators and production-ready tooling.
A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.
A Python toolkit for training reinforcement learning agents and backtesting rule-based algorithms in financial markets.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.