A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Updated
Sep 5, 2024 - Python
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/).
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
Technical Analysis Library using Pandas and Numpy
Open source crypto trading bot
modular quant framework.
Transparent and Efficient Financial Analysis
A javascript technical indicators written in typescript with pattern recognition right in the browser
Common financial technical indicators implemented in Pandas.
A Java library for technical analysis.
Python Crypto Bot (PyCryptoBot)
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Strategies to Gekko trading bot with backtests results and some useful tools.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Terminal dashboard for trading Bitcoin, predicting price movements, and losing all your money
quant framework for stock
Unofficial TradingView technical analysis API wrapper.
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.
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