Time Series Forecasting with Prophet

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Live Demo

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Overview

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This project utilizes Facebook's Prophet library to forecast stock prices using time series analysis. Prophet is a popular open-source software for forecasting time series data.

Features

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• Time series forecasting using Prophet library
• Stock price data analysis
• Historical data visualization
• Future price prediction
• Configurable parameters for customization

Requirements

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• Python 3.x
• Prophet library
• Pandas library
• Matplotlib library
• yfinance library (for stock data)

Installation

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1. Clone the repository: git clone https://github.com/Debopam-Pritam2014/time-series-forecasting-using-prophet.git
2. Install required libraries: pip install -r requirements.txt
3. Run the application: python app.py

Usage

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1. Select a stock symbol
2. Choose a time frame for historical data
3. Run the forecasting model
4. Visualize historical and forecasted data

Configurable Parameters

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• Time series frequency (daily, weekly, monthly)
• Forecast horizon (days, weeks, months)
• Seasonality mode (additive, multiplicative)

Stock Data Sources

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• Yahoo Finance (via yfinance library)

License

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This project is licensed under the MIT License.

Acknowledgments

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• Facebook for developing the Prophet library
• Yahoo Finance for providing real-time stock data

Contact

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For any questions or suggestions, please contact [Your Name] at [letsdecode2014@gmail.com].

Requirements.txt

• prophet
• pandas
• matplotlib
• yfinance