Prompt

Analyze historical data and forecast future trends using multiple methods.

<historical_data>
{paste time series data or describe dataset}
</historical_data>

<data_characteristics>
- Frequency: {daily/weekly/monthly}
- Seasonality: {presence and period}
- External factors: {list influencing variables}
</data_characteristics>

<forecast_horizon>
{how far ahead to predict}
</forecast_horizon>

Forecast using:
1. Time series decomposition
2. ARIMA modeling with parameter selection
3. Exponential smoothing methods
4. Machine learning approaches (if applicable)
5. Ensemble forecasting
6. Confidence intervals for predictions
7. Model validation and accuracy metrics

Compare methods and recommend best approach with reasoning.