A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Updated
Sep 1, 2026 - HTML
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
Transparent and Efficient Financial Analysis
Technical Analysis Library using Pandas and Numpy
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.
modular quant framework.
A Java library for technical analysis.
A javascript technical indicators written in typescript with pattern recognition right in the browser
面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎,集成增量同步、本地缓存、复权、批量查询、回测与指标计算。
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
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
为前端设计的无需 Python、无需后端服务、零依赖的获取股票数据 JavaScript SDK。
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
Finviz analysis python library.
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