This is the code for this video on Youtube by Siraj Raval.
StockIT is a machine learning web app game that allows the user to compete agiainst the AI in buying/selling stocks. Random stocks are chosen and a random date in the past is chosen. The stock price starts trending from that date and continues for 365 days. While the stock price trends, the user competes against the AI in buying/selling stocks.
Pandas and Scikit Learn was used to develop a linear regression model to predict stock price. D3 and React were used to plot the data and update the leaderboard. Optimized for desktop and mobile.
In order to run a dev server on your local host, you will need to first install all the required npm packages for the frontend.
cd client
npm install
Now that you have installed all the required frontend packages, you can start the frontend server on port 3000:
npm start
Next you will need to install the required python packages:
cd ..
pip install -r requirements.txt
Now you can open up an additional terminal and start up a server for the backend on port 5000:
python -m flask run FLASK_APP=app.py
flask run
Now you are all set up!
- React
- D3
- Python
- Flask
- Pandas
- Scikit Learn
Austin Tackaberry
This project is licensed under the MIT License - see the LICENSE.md file for details
Credits for this code go to austintackaberry. I've merely created a wrapper to get people started.