Showing 1-19 of 19 projects
Curated list of quantitative finance libraries and resources for developers.
FinGPT is an open-source financial large language model that can be used for various fintech applications.
Python wrapper for the TA-Lib technical analysis library, useful for financial pattern recognition.
A trading and technical analysis bot for cryptocurrency trading
Technical Analysis Library using Pandas and Numpy for financial data analysis and trading strategies.
A comprehensive Python toolkit for transparent and efficient financial analysis across equities, commodities, and more.
A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.
JavaScript technical indicators with pattern recognition
A Java library for technical analysis of financial markets like stocks, cryptocurrencies, and forex.
A collection of stock analysis tools across various programming languages and platforms.
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
TA-Lib is a core C library for technical analysis of financial market data, commonly used by vibe coders.
A collection of trading strategies and tools for the Gekko trading bot, with backtesting results.
A Python-based platform for building and optimizing automated trading systems.
A Python library for financial analysis and data scraping from the Finviz platform.
An unofficial Python wrapper for the TradingView technical analysis API, enabling financial data analysis.
A JavaScript library for trading Bitcoin and running forecasting models from the terminal.
A C# NuGet package that provides technical indicators and trading insights for financial market data analysis.
A quant framework for stock trading, with support for cryptocurrency and fintech analysis.
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