Use GitHub Actions and Pages to Create a Live Stock Sentiment Dashboard Online

Updated regularly using a customized workflow on GitHub Actions, with sentiments extracted from the newest headlines

Dow Jones Stock Sentiment Dashboard (automatically updated regularly) https://damianboh.github.io/dow_jones_live_sentiment.html

In a previous article, I talked about how you can use Python to build an interactive heatmap (or rather, treemap) of stock sentiments for a portfolio. The size of each box in the plot shows the portfolio allocation while the color and value shows the sentiment. The stocks are also grouped by sectors and industries. Hence it gives a good visual view of the proportion of each sector/industry/stock and its sentiment. Basically we used a Python script to scrape a website for news headlines, apply sentiment analysis on them and generate the plot.

But previously, you would have to run the code each time you want an updated dashboard with the newest sentiments.

In this article, we will learn how to create a customized workflow on GitHub Actions which regularly runs the above-mentioned Python script to output the sentiment treemap in a html file, before deploying it on GitHub pages. The end product is deployed here (screenshot above): https://damianboh.github.io/dow_jones_live_sentiment.html.

It updates itself every half hourly. (I didn’t choose for it to update more frequently as the news headlines do not update that frequently as well.) Notice that I have also chosen to host this dashboard with stocks in the Dow Jones Index rather than a particular portfolio, since this is more general and more people would find this page useful.

The full code for this project is available in this GitHub repository.

GitHub — damianboh/dow_jones_live_stock_sentiment_treemap

Without further ado, let’s embark on our adventure with GitHub Pages and GitHub Actions!

1. Create a GitHub Pages Repository