Time Series Analysis - Customised Dashboard

A comprehensive web-based dashboard for time series forecasting using ARIMA, SARIMA, and Prophet models with a modern, immersive UI.

🚀 Features

• 📊 Multiple Data Sources:

  • Real-time stock data (Yahoo Finance)
  • CSV file upload
  • Sample data generation

• 🤖 Advanced Forecasting Models:

  • ARIMA (Auto-Regressive Integrated Moving Average)
  • SARIMA (Seasonal ARIMA)
  • Prophet (Facebook's forecasting tool)
  • Model comparison functionality

• 📈 Comprehensive Analysis:

  • Interactive charts with Plotly.js
  • Model performance metrics (RMSE, MAE, MAPE, AIC, BIC, R²)
  • Confidence intervals
  • Residual analysis

• 🎨 Modern UI/UX:

  • Glass morphism design
  • Dark theme with blue accents
  • Responsive design
  • Particle effects and animations
  • Sound effects and notifications

🛠️ Technologies Used

• Backend: Python, Flask, Pandas, NumPy
• Forecasting: Statsmodels, Prophet
• Frontend: HTML5, CSS3, JavaScript, Bootstrap 5
• Charts: Plotly.js
• Data Sources: Yahoo Finance API, CSV processing

📦 Installation

1. Clone the repository

   git clone https://github.com/rk-python5/time_series-analysis-customised-dashboard.git
   cd time_series-analysis-customised-dashboard

2. Install dependencies

   pip install -r requirements.txt

3. Run the application

   python app_flask.py

4. Open your browser and navigate to http://localhost:5001

🎯 Usage

1. Load Data: Choose your data source (Stock, CSV, or Sample)
2. Select Model: Pick ARIMA, SARIMA, Prophet, or Compare All Models
3. Configure Parameters: Set forecast periods and confidence intervals
4. Run Forecasting: Click "RUN FORECASTING" to generate predictions
5. Analyze Results: View interactive charts and performance metrics

📊 Sample Data

Try these popular stock tickers:

• Tech: AAPL, MSFT, GOOGL, AMZN, TSLA
• Finance: JPM, BAC, WFC, GS
• Indices: ^GSPC (S&P 500), ^DJI (Dow Jones)
• Crypto: BTC-USD, ETH-USD

🔧 Configuration

• Forecast Periods: 1-1000 periods
• Confidence Intervals: 50-99%
• Auto Parameters: Automatic model parameter optimization
• Manual Parameters: Custom ARIMA/SARIMA parameters

📈 Model Comparison

The dashboard includes a powerful model comparison feature that:

• Runs multiple models simultaneously
• Displays side-by-side forecasts
• Compares performance metrics
• Helps select the best model for your data

🎨 UI Features

• Immersive Design: Glass morphism with particle effects
• Interactive Elements: Hover effects, animations, sound feedback
• Responsive Layout: Works on desktop and mobile
• Theme Support: Dark theme with customizable accents
• Keyboard Shortcuts: Quick access to common functions

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Rehaan Khatri

• GitHub: @rk-python5

🙏 Acknowledgments

• Yahoo Finance for providing free stock data
• Plotly for interactive charting
• Bootstrap for responsive design components
• The open-source community for various Python libraries

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