LaurentVeyssier / Dash_app_to_monitor_market_data

Dash app pulling various financial-related information based on an input ticker code

Dash_app_to_monitor_market_data

Dash app pulling various financial-related information based on an input ticker code

This app was initially designed by Eric Kleppen and was fully described in his detailed medium article. The original code from the author can be found on github here.

I had to rewrite the financial report module which was no longer functional, likely due to recent changes in marketwatch layout. I also introduced a few smaller modifications to manage API credentials and remediate unnecessary errors on dashboard start-up.

I find the app interesting as it provides with a set of examples of app architecture, displays in Dash, functionalities and callbacks. It is a nice source of solutions for future projects.

What does the App do ?

The app takes a ticker as an input and returns various financial information displayed by an interactive dashboard. Concretly, when a ticker is entered, the dashboard pulls data from Yahoo! Finance and Market Watch to produce information about the company’s financials and price history. Below is the information displayed:

• summary of financial infomation related to the company
• latest KPIs on company share price trading
• company's share price development over various timeframe and graphs
• Twitter Order Flow live feed
• Reddit Wallstreetbets tweet live feed. The group “r/Wallstreetbets” (aka WSB) is a longstanding subreddit channel where over 3.5 million Reddit users discuss highly speculative trading ideas and strategies.

Requirements

The app requires a twitter and a reddit accounts (both free). The accounts will allow you to obtain credentials to access both services' APIs. Your credentials should be logged into the config.py file. The App also uses:

• Dash and plotly
• yfinance (to collect data from yahoo.finance)
• praw (to connect to the Reddit API)
• sqlite3 (to buffer tweets)

Output

The app is a little slow and you should allow sufficient time for the dashboard to pop up and then populate once a ticker has been input. Running the app from the terminal (python index.py) will automatically trigger the browser to open and display the dashboard.