This repository contains the source code and documentation for a Stock Prediction App built with Python and Facebook Prophet. The app utilizes historical stock data and applies the Facebook Prophet library to forecast future stock prices.
- Historical Data Analysis: The app leverages historical stock data to analyze trends, patterns, and seasonality.
- Facebook Prophet Integration: It utilizes the powerful Facebook Prophet library for time series forecasting, which incorporates trend, seasonality, and holiday effects.
- User-Friendly Interface: The app provides a simple and intuitive interface for users to input stock symbols and view predicted stock prices.
- Customizable Settings: Users can adjust various parameters, such as the time range for prediction and confidence intervals, to tailor the forecasts to their needs.
- Visualization: The app offers interactive visualizations of historical stock data, forecasted prices, and uncertainty intervals to assist users in understanding the predictions.
To use the StockSage , follow these steps:
- Clone the repository to your local machine.
- Install the required dependencies by running pip install -r requirements.txt.
- Launch the app by executing python app.py in your terminal or command prompt.
- Access the app through your web browser at http://localhost:5000.
- Enter the stock symbol and adjust the desired settings.
- Click the "Predict" button to generate the stock price predictions.
- View the forecasted prices and visualizations on the app's interface.
StockSage is meant for educational and informational purposes only. The predictions generated should not be considered financial advice, and users should conduct their own research and consult with financial professionals before making investment decisions.
This project was inspired by the need for accessible stock prediction tools and is made possible by the contributions of the open-source community. Special thanks to the developers of Facebook Prophet and the various libraries used in this app.