Financial Charts and Visuals With Plotly in Python

Professional financial charts with less code using Plotly in Python

Disclaimer: This article is purely for educational purposes and should not be considered as a piece of advice for making investments.

Plotly for Visualization

One of the most popular packages used for interactive visualizations is Plotly. Plotly is built on top of python and enables data scientists to produce professional and great-looking plots with less-code. It became popular because of its extensive category of plots which can be produced in no-time. The categories of plots include basic charts, statistical charts, ML and AI charts, scientific charts, and financial charts.

In this article, I’m going to walk you through the process of creating interactive and professional financial charts in Plotly with python. We will also explore yahoo’s API for pulling historical stock data which we will be using for visualizations. Let’s get started!

Importing packages

Our primary packages include pandas for data processing, pandas DataReader for pulling the historical stock data, Datetime to deal with dates, finally, Plotly and its dependencies for interactive visualizations. Follow the code to import…