Python toolkit for quantitative finance

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Python for Finance (O'Reilly)

Performant and effortless finance plotting for Python

A framework for quantitative finance In python.

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.

Python wrapper for an unofficial Yahoo Finance API

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.

Python for Finance Cookbook, published by Packt

Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

A Python library for mathematical finance

Accompanying source codes for my book 'Mastering Python for Finance'.

I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.

Mastering Python for Finance – Second Edition, published by Packt

Sources codes for: Mastering Python for Finance, Second Edition

Hands-on Python for Finance published by Packt.

Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.

Python for Finance – Second Edition, published by Packt

The repository of "Python for Finance Cookbook" 2nd edition

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Repo for code examples in Quantitative Finance with Python (1st edition) by Chris Kelliher

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Python for Finance module for Imperial MSc in Mathematics and Finance

A simple Python package for optimizing investment portfolios using historical return data from Yahoo Finance. Users can easily determine the optimal portfolio allocation among a given set of tickers based on the mean-variance optimization method or other algorithms.

googlefinance.client is a python client library for google finance api.

A multi-LLM Python pipeline that fetches your X (Twitter) bookmarks, classifies them by category, extracts structured data from chart images, plans trading strategies or indicators for finance bookmarks, and generates executable TradingView Pine Script v6 — all automatically, in parallel, with SQLite caching so nothing is processed twice.

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Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.