Model governance

TrendAviv is a model-driven analytics site. This page explains how public outputs are framed, what validation principles guide the product, and how automation is kept separate from investment advice.

Model estimates, not guarantees

Every published page is framed as a model estimate for a stated horizon. The site does not present its outputs as certainty or as individualized advice.

Validation before overclaiming

The public product emphasizes historical validation, coverage and directional accuracy instead of promising that any single forecast must be correct.

Automation with constraints

The site may automate parts of the update pipeline, but public wording is constrained by a risk-first editorial layer and fixed disclosure language.

Scope can evolve

Coverage, horizons and model families may change over time as the project expands and the public layer is refined.

Public output workflow

1. Collect data snapshots

Market, macro and auxiliary inputs are collected on their own cadences and then normalized for the relevant model layer.

2. Run model layer by horizon

The active horizon depends on the asset and the live model setup. Public pages should reflect the actual horizon rather than a generic promise.

3. Apply risk framing

Outputs are published with signal, expected range and target logic, but always with explicit no-guarantee and not-investment-advice wording.

4. Review validation context

When available, historical metrics are used to frame confidence in the model behavior rather than to suggest certainty about future outcomes.

5. Publish and monitor

The public site is treated as a live research layer. Routing, metadata, timestamps and disclosure language are part of the governance process, not cosmetic add-ons.