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Python Data Science Handbook: full text in Jupyter Notebooks
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
This is Andrew NG Coursera Handwritten Notes.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Research in investment finance with Python Notebooks
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
π Awesome lists about all kinds of interesting topics
π¬ A curated list of awesome LLMs & deep learning strategies & tools in financial market.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Learn Algorithmic Trading, Published by Packt
Zipline, a Pythonic Algorithmic Trading Library
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Code for Machine Learning for Algorithmic Trading, 2nd edition.
π A ranked list of awesome Python open-source libraries and tools. Updated weekly.
π A ranked list of awesome machine learning Python libraries. Updated weekly.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Traβ¦
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Python toolkit for quantitative finance
π Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Investment Research for Everyone, Everywhere.