A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Updated
Oct 21, 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
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
modular quant framework.
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。
A Java library for technical analysis.
A javascript technical indicators written in typescript with pattern recognition right in the browser
Common financial technical indicators implemented in Pandas.
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Python Crypto Bot (PyCryptoBot)
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。
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Finviz analysis python library.
Technical analysis library: indicators and candlestick patterns, batch and streaming, native in C, Rust, Java, C#... and more
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