We’ve introduced a Seasonally Adjusted Moving Average projection to charts that helps you see trends up to 12 months into the future giving you better visibility into what’s next based on both historical seasonality and current-year trends.

This feature is NOT a forecast but uses a 2-year moving average, seasonally structured, and adjusts future values based on current Year-to-Date (YTD) performance. This ensures your forward view isn’t just historical, but reflective of real-time market movements.

How it works:

1. Seasonal Baseline:
   • A 2-year monthly average is calculated for each of the 12 calendar months, capturing seasonal patterns (e.g., average July values from 2023 and 2024).
     
2. YTD Adjustment Factor:
   • We calculate the YTD average for the current year (e.g., Jan–June 2025) and compare it to the same period from the previous two years (2023–2024).
   • This gives us a scaling factor:
     YTD Adjustment Factor = 2025 YTD Avg / 2023–2024 YTD Avg
     
3. Projecting Future Months:
   • Each of the next 6 months of the 2-year average is scaled by the YTD adjustment factor to produce a forward-looking projection.
     For example:
     Adjusted July Value = 2-Yr Avg July × YTD Factor
     
4. Optional Smoothing:
   • To avoid overreacting to short-term anomalies, a smoothing parameter (α) blends the adjusted value and original 2-year average:
     Final Projected Value = α × Adjusted + (1–α) × Original

This enhancement is UI-only and is not available via API.