Showing 21-40 of 48 projects
A comprehensive collection of 150+ Python programs for quantitative finance and stock market data analysis.
A Go-based cryptocurrency trading bot and framework that supports multiple exchanges.
Open-source statistical and algorithmic investing strategies for everyone
A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.
A curated collection of resources for quant developers, quantitative researchers, and quant traders in finance.
An algorithmic trading library for cryptocurrency developers, providing tools for building automated trading strategies.
Open-source Rust framework for building event-driven live-trading & backtesting systems
A Python library for making stock predictions using machine learning and historical stock data.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
A Python-based algorithmic trading bot that supports multiple cryptocurrency exchanges and futures trading.
Unofficial documentation of the private API for the Robinhood brokerage platform, useful for algorithmic trading.
A machine learning repository for quantitative finance and asset management strategies.
A comprehensive collection of resources for TradingView Pine Script, a powerful tool for algorithmic trading.
An intelligent trading bot that generates signals and trades using machine learning and feature engineering.
An algorithmic trading framework for cryptocurrencies, designed for developers interested in high-frequency trading strategies.
Open-source algorithmic trading platform for building and deploying automated trading strategies.
Educational notebooks on quantitative finance, algorithmic trading, financial modeling, and investment strategy.
A Python library for easy backtesting and trading automation across various financial markets.
A nimble options backtesting library for Python, focused on algorithmic trading strategies.
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries using Python.
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