maktm / stock-prediction Goto Github PK

Currently, the dashboard shows placeholder data. Replace it with live data about the user's saved stocks.

Currently, saved stocks will retrieve stocks from the DB but doesn't have a way for saving stocks from the search page.

Use a machine learning library to predict stock prices and output them in the placeholders for where the predicted stock price should be.

Add the HTML/CSS code for the "Help" page that describes the features of the application and how to use them. The page should be designed/styled using:

• HTML
• CSS

You can use Bootstrap since it's already included in base_generic.html and made available to all HTML/CSS files.

When opening the details page for a given stock, it currently throws an exception. Fix this to see what the details page looks like.

The current codebase is a mess. It needs a whole lot of refactoring. This may seem like a waste of time but in reality it'll help put everything in place easier.

I created the basic project layout and the homepage (i.e. URI '/') returns a "Hello, world." message. To create the log in page, we just have to create an extra route to '/login' and return the HTML/JS/CSS page for the log in page.

I'll start implementing the route and @katrinajoyceb can add in the HTML/CSS/JS.

Leaving these resources here for now:

Django/routes: https://docs.djangoproject.com/en/2.2/topics/http/urls/
Django/HTML: https://docs.djangoproject.com/en/2.2/ref/templates/language/

Add graph for each stock using the stock's price history, date, and Chart.js.