Stars
This repo contains lecture notes and HW for Baruch MTH9875 Volatility Surface
Python library for stochastic numerical optimization
Analysis of the results of the paper "Predicting the direction of stock market prices using random forest" (2016) by Khaidem et al.
Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)
Python implementation of a sample covariance matrix shrinkage experiment
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A tutorial series by Preferred.AI
Quant/Algorithm trading resources with an emphasis on Machine Learning
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Examples and exercises for Practices of the Python Pro from Manning Books 🐍📘
This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com
My attempt at making a personal blog aware website using jekyll.
🌐 Jekyll is a blog-aware static site generator in Ruby
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Color schemes for default macOS Terminal.app
Một cuốn sách tập trung vào hướng dẫn cách cấu trúc các dự án Học Máy và phân tích cách làm cho các thuật toán Học Máy hoạt động.
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Content for Udacity's AI in Trading NanoDegree.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
High-performance TensorFlow library for quantitative finance.
Introduction to ML packages for the 6.86x course
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading