Showing 21-40 of 51 projects
A curated list of libraries and resources for systematic trading across crypto, stocks, futures, and more.
A comprehensive collection of 150+ Python programs for quantitative finance and stock market data analysis.
Quantitative trading resources with a focus on machine learning and AI tools
Cryptocurrency trading bot in JavaScript with support for various exchanges like Binance, Bitfinex, and Bitmex.
Open-source statistical and algorithmic investing strategies for everyone
C++ DataFrame library for statistical, financial, and machine learning analysis.
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.
Easily build, backtest, and deploy algorithmic trading strategies across stocks, crypto, and forex with a powerful Python framework.
A Java library for technical analysis of financial markets like stocks, cryptocurrencies, and forex.
Open-source crypto trading bot with DCA and GRID strategies, technical indicators, and a customizable UI
Open-source Rust framework for building event-driven live-trading & backtesting systems
A collection of stock analysis tools across various programming languages and platforms.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
A Python library for portfolio optimization using scikit-learn and convex optimization techniques.
A Python-based trading and backtesting environment for training reinforcement learning agents or simple rule-based algorithms.
fastquant is a Python library for backtesting and optimizing ML trading strategies with just a few lines of code.
A machine learning repository for quantitative finance and asset management strategies.
A TypeScript-based system for algorithmic trading and investing in the stock market.
A Python AutoML library for building trading systems and sports betting models.
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