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A user-friendly Python web app powered by Streamlit & yfinance, predicting stock prices with Facebook Prophet.

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Stock Prediction Web App

Overview

The Stock Prediction Web App uses Streamlit, yfinance, and Prophet libraries for interactive stock predictions. Users input a stock symbol, set the forecast period, and receive graphical representations of historical data and forecasts. With Plotly for visualization, the app prioritizes simplicity, aiming to empower users with insights for informed financial decisions.

Features

  • User Input: Enter a stock ticker symbol and set the forecast period.
  • Visualization: View historical data, forecast trends, and component analysis.
  • Simplified Analysis: Get insights into future stock price movements.

Screenshots

Screenshot 1 Screenshot 2 Screenshot 3 Screenshot 4

Getting Started

  1. Prerequisites:

    • Python 3.x
    • Install required packages: pip install -r requirements.txt
  2. Run the App:

    streamlit run prediction.py

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A user-friendly Python web app powered by Streamlit & yfinance, predicting stock prices with Facebook Prophet.

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