Showing 9 of 9 projects
An elegant and simple Python library for fetching financial data from various sources, designed for quantitative research.
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
A modular quantitative finance framework for data collection, analysis, strategy backtesting, and machine learning across multiple markets.
A lightweight, zero-dependency k-line chart library built with HTML5 canvas, offering high customizability and mobile support.
A React Native demo app that clones iOS's Stocks App with real Yahoo Finance data for iOS and Android.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A technical analysis library for Go providing indicators, strategy building, and trade analysis for financial data.
A .NET library for computing technical indicators, building trading strategies, and backtesting automated stock trading systems.
A curated list of resources, tools, websites, and books for stock trading and investing research.
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