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.

TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.

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.

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

TA-Lib (Core C Library)

Finviz analysis python library.

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

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

Unofficial TradingView technical analysis API wrapper.