We’ve introduced a Seasonally Adjusted Moving Average projection to charts that helps you see trends up to 6 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.