Quantile Threshold Monthly (QtM)

YAML type: qtm | Category: Quantile

Compares monthly aggregates against a global monthly quantile.

Description

Distribution-based monthly alerts using historical monthly percentiles.

Quantile Threshold Monthly (QtM) illustration

Quantile Monthly works like QtW on monthly aggregates: the current month is scored against a historical monthly percentile band.

You need enough months of history for a stable percentile. Useful for rare high or low months relative to the series' own past.

Requires enough months of history for a stable quantile.

Configure detectors on the data view Analysis tab or in YAML. Validate with Data Preview before enabling production schedules.

Parameter	Default	Description
`percentile`	`95`	Monthly historical quantile
`mode`	`above`	Direction -- see Allowed values
`aggregateMode`	`sum`	Period aggregation -- see Allowed values

Value	Meaning
`above`	Flag values above the quantile boundary
`below`	Flag values below the quantile boundary

both is not implemented for quantile detectors (qt, qtw, qtm).

Used when the detector compares period totals (week / month / quarter), not raw daily points.

Value	Meaning
`sum`	Compare sums of daily values in the period (default)
`average`	Compare averages of daily values in the period

Most detectors also accept optional series filters in params:

Parameter	Purpose
`maxGapAmount`	Skip series when gap amount is too high (`null` = no limit). Catalog create-default is often `5`.
`minValue`	Skip series whose average value is below this (`null` = no limit). Catalog create-default is often `1000`.
`maxValue`	Skip series whose average value is above this (optional; omit/`null` = no limit)
`useSpecialDates`	When `true`, suppress anomalies that overlap special dates

When a filter skips a series, Data Preview shows the reason.

analysis:
  detectors:
    - type: qtm
      params:
        percentile: 90
        mode: above
        aggregateMode: sum

Useful for finance months that should stay within historical bands.