TradingAgents: Multi-Agents LLM Financial Trading Framework

Step by step tutorial for predicting stock price using Machine Learning algos

Code Repository for Machine Learning, Data Science and Generative AI with Python, Published by Packt

Please do not feed the models

PyTorch for Quantitative Finance : Refine Derivatives Hedging and Pricing with Architecture Alightment in Operators

Algorithmic Short-Selling with Python

Bayesian Inference and parameter estimation in quant finance.

We are hard pressed to find a concrete implementation of both Benoit Mandelbrot's "A Multifractal Model of Asset Returns" and Edgar E. Peters' "Fractal Market Analysis" so, with apologies to the Au…

We Analyze the polarity, sentiment, meta-cognition, bias, and many other things.

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

Gihyo ChatGPT Book

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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.

This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometrics, risk and portfolio management, algorithmic trading, and…

This course will introduce the student to classic machine learning algorithms and deep neural network structures. The style will be first to describe the theory and math behind algorithms and then …

This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python pro…

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

Advances in Financial Machine Learning

Python codes used in book 'Option Greeks Strategies & Backtesting in Python'

A collection of scripts and notebooks to help you get started quickly.

Sparse Portfolio Selection via Bayesian Multiple Testing

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

A use-case focused tutorial for time series forecasting with python

Minimal implementation and experiments of "No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging".

TensorFlow Machine Learning Cookbook Second Edition, published by Packt

Run predictions inside the database

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

😎 Awesome lists about all kinds of interesting topics