Stock Price Prediction App

This app is designed to display the stock prices of the last 5 years for a few different technology companies. It also uses machine learning to predict today’s closing stock price for each of the companies.

Getting Started

Prerequisites

You need to have Python installed on your computer and be able to run python scripts through your terminal.

python example_script.py

Installing

After cloning the repository, navigate to the folder, create and activate a virtual environment, and install the required packages in the requirements.txt file.

For Windows machines:

cd path/to/repo/folder
python -m venv env
cd env/scripts
activate
cd ../..
python -m pip install -r requirements.txt

Running the App

Before you can run the web app, you need to first train the machine learning models (should take less than a minute). If you do not train the models first, the dash_app.py script will error out. Running this script will train a machine learning model for each of the companies and save the model and StandardScaler object into a models folder in the current working directory.

python train_models.py

After training the models, you need to run the dash_app.py script and navigate to the url shown in the terminal.

python dash_app.py

Built With

• Plotly - The framework used to build the chart
• Dash - The framework used to build the web app
• Scikit-Learn - The framework used to build the machine learning models
• yfinance - The API used to pull the stock price data from Yahoo! Finance

Author

• Ryan Miller - Portfolio