Definitions
In plain terms
Different EMA or adaptive-filter seeds can create different early paths even with identical later inputs.
Technical
The contract records seed rule, first-ready point, prehistory, warm-up disclosure, and convergence or exclusion policy.
Scope
Discarding a few rows does not prove startup bias has vanished for every parameter.
Examples
- A governed lesson uses Startup Bias only with declared inputs, timing, parameters, and edge-case behavior.
Common misconceptions
- Discarding a few rows does not prove startup bias has vanished for every parameter.
Concept relationships
Prerequisites
Where this concept is used
- ImportantExponential Moving Average (EMA)D07-F01-A02
- ImportantWilder RMA: SMA-Seeded Alpha 1/n SmoothingD07-F01-A04
- ImportantDouble Exponential Moving Average (DEMA): Reduced Lag and OvershootD07-F01-A05
- ImportantTriple Exponential Moving Average (TEMA): Layered Warm-Up and Signed WeightsD07-F01-A06
- ImportantKaufman Adaptive Moving Average (KAMA)D07-F01-A08
- ImportantMESA Adaptive Moving Average (MAMA)D07-F01-A09
Evidence and governance
- Moving Average and Smoothing Methods NIST/SEMATECH · official standard
Supports: preferred label, short definition, technical definition
Limits: Forecasting notation and initialization can differ from technical-indicator conventions and must be translated explicitly.
- Reviewed by
- fintech-builder-batch-006
- Last reviewed
- 2026-07-27
- Next review
- 2027-07-27
- Record status
- evidence reviewed
This record is evidence-reviewed and readable, but not yet promoted to published — it is served noindex,follow and excluded from the sitemap.