A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Python wrapper for TA-Lib (http://ta-lib.org/).

Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks

Technical Analysis Library using Pandas and Numpy

Transparent and Efficient Financial Analysis

modular quant framework.

A javascript technical indicators written in typescript with pattern recognition right in the browser

A Java library for technical analysis.

Common financial technical indicators implemented in Pandas.

Python Crypto Bot (PyCryptoBot)

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Strategies to Gekko trading bot with backtests results and some useful tools.

TA-Lib (Core C Library)

Trade Bitcoin and run forecasting models from the terminal

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Unofficial TradingView technical analysis API wrapper.

quant framework for stock

Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.