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Home / Research / Model Scenario Bands Are Not Price Targets

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Model Scenario Bands Are Not Price Targets

How desk model scenario bands (research ranges) differ from price targets - and what sample-out evaluation should show.

Model Scenario Bands Are Not Price Targets

A model scenario band is a research range - for example a fan of possible next K-line paths or a volatility interval - drawn as a desk object with a model card, an as-of, and (when wired) a sample-out scoreboard. The two states to keep apart are scenario geometry (what the model drew under stated assumptions) and price target language (an advisory or sell-side objective someone might put in a note). When the path works, you can say which model version produced the band and what you still refuse to say. The look-alike to refuse is reading the band midpoint - or any single path - as "the target."

Sibling jobs: citation hygiene in cited market numbers, board mechanics in web research terminal, private model hub framing in private on-prem, client refuse script in explaining AI themes without targets, Demo terminal, learn citation chip.

Scenario band fan on a chart labeled research range, crossed out target arrow
Scenario bands are research ranges with a model card - not target arrows.
  • While the band renders: name model, version, and horizon.
  • When someone asks "so what's the target": switch clocks - refuse; point to process elsewhere.
  • After evaluation night: show sample-out coverage vs a baseline label - never invent a live score in this article.

Who this page is for

Desk users who will see FCST-style panels, FinBERT tape scores, or rule signals and must keep research objects separate from advice language.

Takeaway: Geometry - objective.

Who should skip

Skip if you came for a target or a buy list. Skip if you need filing math - start at where AI demand shows up. Skip if you need supervisory export - supervisory queue.

Takeaway: Leave for targets, filings, or approval workflows.

Out of scope

No published RankIC, MAE, or hit-rate numbers on this URL. No "will outperform." No order entry. Hypothetical performance stays internal when Quant Lab exists - not for client PDFs.

Takeaway: Vocabulary and refuse rules only.

Clock: draw, label, evaluate, refuse

  1. Model hub draws a band from entitled history.
  2. UI labels Model scenario range plus model card.
  3. Nightly (on private installs) walk-forward records coverage against reality - below-baseline shows as a status, not a boast.
  4. Any client sentence still runs surface - caption - refuse.

Takeaway: Evaluation clock does not unlock target language.

Related desk objects (keep separate)

ObjectWhat it isNot
Scenario bandResearch range / fanPrice target
Rule signalDeterministic alert (gap, 8-K, volume)Sentiment slogan
FinBERT scoreText polarity helperOrder instruction
Brief draftGrounded summary candidateApproved client letter

Takeaway: Each object has its own refuse line.

Look-alike matrix

Confused pairKeep separate
Band midpoint vs targetStatistic of a fan vs advisory objective
Sample-out coverage vs "edge"Calibration hygiene vs marketing claim
Rule signal vs model bandBoolean desk rule vs generative range
Internal backtest vs client PDFLab watermark vs exported advice

Takeaway: Midpoint is still not a target.

Common mistakes

  • Screenshotting a band into a chat titled "PT."
  • Hiding model version when the band looks tidy.
  • Shipping Quant Lab charts to clients without supervisory review.
  • Treating FinBERT "POS" as permission to buy.

Takeaway: Label the object before the adjective.

FAQ

Are scenario bands forecasts you stand behind?

They are research scenarios with stated models - not firm price targets.

Why show bands at all?

To make uncertainty visible as a range instead of a fake single number - still not advice.

Do Demo boards run full private model hubs?

Demo may show limited or precomputed literacy; private installs wire local model hub jobs. See Demo vs private.

Where do citations still apply?

Every printed market number still needs provider and as-of - cited numbers.

What to do next