This project utilizes Python and a Flask framework to:
- Create a page where the user can enter a stock ticker symbol
- Gather the data for the entered ticker symbol via the Quandl API
- Plot the data with Bokeh and display it on the next webpage
- Update the API used: As of April 2018, the Quandl dataset is no longer supported, and therefore does not produce current data. Obviously, this limits the application of this project, and therefore, this may be the best use of time.
- Add a daterange option to the search (/index.html) page
- Improve the aesthetics of the page
- Add a dynamic search option with ticker-company name associations listed: In other words, as you type, a dropdown list of companies with names or ticker symbols adhering to the criteria you're typing shoudl populate.
Also, when editing the code, it's particularly helpful to set 'debug=True' (see the last line of app.py).