Trading Strategies
Showing 26 of 26 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.
A curated collection of backtested trading strategies and tools for the Gekko cryptocurrency trading bot.
A comprehensive Go library for technical analysis, offering indicators, strategies, and backtesting with no external dependencies.
A technical analysis library for Go providing indicators, strategy building, and trade analysis for financial data.
A Spring Boot starter for creating Java cryptocurrency trading bots that handles exchange connections and trading operations.
A curated list of resources, tools, websites, and books for stock trading and investing research.
A reinforcement learning framework for portfolio management that learns optimal trading strategies through online training.
A comprehensive Rust library for technical analysis, providing common indicators, methods, and an interface for custom indicators.
A CLI tool for batch backtesting, dataset import, and strategy parameter optimization for the Gekko Trading Bot.
A collection of trading strategies and helper modules for the Gekko cryptocurrency trading bot.
A Node.js native library that uses genetic algorithms to perform technical analysis on OHLC data and generate profitable trading strategies.
Analysis of High Frequency Trading patterns and strategies on Bitcoin exchanges using Jupyter notebooks.
A collection of custom indicators, utilities, and configuration files for the Gekko cryptocurrency trading platform.
A TensorBoard dashboard for visualizing and comparing Zipline algorithmic trading backtests in real-time.
A collection of quantitative trading research experiments exploring uncommon strategies and techniques through Jupyter notebooks.
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