Showing 8 of 8 projects
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
A command-line cryptocurrency trading bot using Node.js and MongoDB for automated technical-analysis-based trading.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
A command-line tool that automates cryptocurrency technical analysis and trading alerts using Docker.
Detects Bitcoin arbitrage opportunities across multiple cryptocurrency exchanges and supports automated trading.
A Java library for building, testing, and deploying automated trading strategies with 200+ technical indicators and production-ready tooling.
A modern cryptocurrency trading bot framework written in Go, supporting multiple exchanges, backtesting, and built-in strategies.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.