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quant framework for stock
Performant and effortless finance plotting for Python
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Portfolio optimization with deep learning.
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A framework for quantitative finance In python.
Library to create spreadsheet files compatible with MS Excel 97/2000/XP/2003 XLS files, on any platform.
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
Exchange calendars to use with pandas for trading applications
Quantitative Finance book
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Open source analytics and market risk library from OpenGamma
Technical Analysis Indicator Function Library in C
Python wrapper for an unofficial Yahoo Finance API
Here you will find materials for the course of Computational Finance
Bringing financial analysis to the tidyverse
python tools for Finance with the functionality of indicator calculation, business day calculation and so on.
Quantitative Financial Modelling Framework
Realtime Data From National Stock Exchange (India)
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Collection of algorithms for online portfolio selection
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
Asynchronous, event-driven algorithmic trading in Python and C++
Python module to get real-time stock data from Google Finance API
GPU-accelerated Factors analysis library and Backtester
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
Resources for Quantitative Finance