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Add at least two points to calculate movement.
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Track anything over time, then let Owl summarize movement, reveal patterns, compare series, and project what may come next.
Add at least two points to calculate movement.
Select two to six series from the library, normalize unlike units, and inspect where they move together or diverge.
Use the check controls in the data library. Indexed mode is best when the selected series use different units.
| Series | Start | Latest | Change | Average | Points |
|---|
Correlation uses dates shared by each pair. It describes co-movement, not causation.
Build reusable series from aligned source data. Owl recalculates them whenever their source observations change.
Create ratios, differences, period changes, and moving averages without duplicating source data.
Combine live series, derived metrics, and saved comparisons into reusable workspace views.
Save the metrics and comparisons you return to most often.
Upload batches, validate data before writing, manage reusable sources, and review every import run.
Detect meaningful changes, test forecasting methods against recent history, and publish reusable analytical snapshots.
Owl will compare candidate methods against held-out history and show the selected model, error, confidence, and prediction range.