Quantitative analysis, strategies and backtests

Tutorials for DataCamp (www.datacamp.com)

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

Learn Algorithmic Trading, Published by Packt

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

We propose using Probabilistic Graphical Models such as Bayesian Networks and Hidden Markov Models to construct a global-macro trading strategy of the Crude Oil Markets.

SDAE with FNN

Using XGBoost Python library to create a model for short-term forecasting of crude oil prices based on other important prices trends (gold, silver, crude oil, ...)

Shiny Application for Commodity Trading

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

PDFTableExtract

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…