This is full-stack web application that leverages a Recurrent Neural Network (LSTM model) to forecast future stock prices. While it is difficult to use simplistic ML strategies to beat the market, I created this project to learn more about applications of machine learning in finance.

Forecasted Apple Returns

Historical Data Only

Forecasted Data Only

• Python
• Django
• JavaScript
• Vue.js
• Keras
• Tensorflow

I have only developed this in WSL, so please consider this when referencing my documentation. This application may not work on Windows.

1. Set-up backend and install dependencies.

make setup-backend

2. Start the back-end application.

make run-backend

3. In a separate terminal, start the front-end application.

make run-frontend

You should now be able to see the application in your computer's browser.

1. I used this valid tickers file to ensure that the correct tickers are used.
2. I referenced this YouTube video to implement an LSTM model with Keras/Python.
3. I referenced this article to learn about how LSTM models work.