The goal of this article is to provide an easy introduction to stock market analysis using Python. In this notebook we will use pandas_datareader module. We will walk through a simple Python script to retrieve, analyze, and visualize data from different markets.

The standard theme that comes with Pelican has one huge disadvantage: it does not display properly on mobile devices.

We will use BitBucket for the task of hosting a small static website. The service is free and I already use BitBucket repositories to store the source code for my software projects so the workflow comes naturally.

Building your own static website has several advantages over a traditional website that uses a database to store content. Static websites are faster because pages are rendered in advance and deliver the same content to all visitors. They are cheaper to host and are more secure since the website has no database.

The goal of this notebook is to apply XGBoost to set of features from ohlcv indicators, fft results and arima predictions to test feature importance.