Stock Forecasting with Streamlit

This Streamlit-based application allows users to predict and visualize future stock prices. Users can select a stock, choose a prediction period, and explore both historical and forecasted stock data through interactive charts.

Table of Contents

• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Contributing
• License

Features

• Choose from a selection of stocks for prediction.
• Adjust the prediction period using a slider.
• Visualize raw stock data with interactive line charts.
• Forecast future stock prices using the Prophet forecasting model.
• View forecasted data and components in interactive plots.

Getting Started

Prerequisites

• Python 3
• Streamlit
• yfinance
• Prophet

Installation

1. Clone the repository:

   git clone https://github.com/sanjaykambi/Stocks_Forecast_App.git
   cd Stocks_Forecast_App

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit app:

   python -m streamlit run app.py

2. Select a stock from the dropdown menu.

3. Adjust the prediction period using the slider.

4. Explore the raw data, forecasted prices, and forecast components through interactive charts.

Contributing

Contributions are welcome! If you encounter any issues or want to enhance the app, feel free to open a pull request.

License

This project is licensed under the MIT License.