Live Economic Data Forecasting

My implementation of cutting-edge forecasting models on key St. Louis Fed economic data

Features

• Real-time economic data from FRED API
• Interactive parameter adjustment for models including ARIMA and XGBoost
• Multiple target variables (Energy Consumption, Retail Sales, GDP)
• Visual comparison of different forecasting methods
• Confidence intervals for predictions

Technical Stack

• Python with Dash for the web interface
• Pandas and NumPy for data manipulation
• Statsmodels for ARIMA modeling
• XGBoost for machine learning predictions
• FRED API for economic data
• Plotly for interactive visualizations