Stock Price Prediction App

This is a Flask app that predicts stock prices using the Prophet library from Facebook.

Getting Started

These instructions will help you set up and run the app locally.

Prerequisites

Before you can run the app, you need to make sure that you have the following software installed:

• Python 3.6 or higher
• Flask
• Prophet
• Pandas
• yfinance You can install these packages by running the following command:

pip install -r requirements.txt

Running the App

To run the app, you can visit:
stock-prediction

Source code for frontend:
stock-prediction-frontend

OR

you can execute the following command in your terminal:

python app.py

By default, the app will run on port 5000.

Making a Prediction

You can make a prediction by calling the /predict endpoint of the app with the following parameters:

• symbol: The stock symbol that you want to predict.
• period: The number of days into the future that you want to predict.

For example, to predict the stock price of Apple (AAPL) for the next 30 days, you can make the following request:

http://localhost:5000/predict?symbol=AAPL&period=30

The response will be a JSON object containing the predicted stock prices for the next 30 days.

Acknowledgments

• Prophet library from Facebook
• yfinance library