What should be reported when available data cannot identify net dealer sign?
Reveal the worked answer
Unknown or model-dependent, with assumptions shown.
Uncertainty is part of the useful output.
Dealer Logic · DL-15 · Core
Observation, model and inference
What can dealer analytics actually establish?
What you will learn and prerequisites
- Explain the mechanism in the lesson question.
- Reproduce the worked comparison and recognize its failure case.
Read first: Why dealers hedge
A trade print is an observation. A signed dealer inventory inferred from public data is a model. A predicted hedge response is conditional inference. A future price target goes further still.
Keeping these layers separate is more useful than giving every line an authoritative label.
Understand the mechanism
Open interest lacks a universal dealer-direction tag, and trade classification can be uncertain. Offsetting structures matter. A study of one historical product window is not today's positioning feed for every instrument.
The hedge identities are valid under their assumptions; the challenge is establishing the inputs and the effect's scale relative to other flows.
Walk through the process
Ask for provenance, timestamp, coverage, ownership rules, units and sensitivity analysis. Prefer an honest range over false precision. Record missing information.
'The data do not identify net dealer sign' is a valid research result. It can prevent an unjustified position.
Evidence boundary
The arithmetic is original conditional teaching material, not a measurement of current dealer positions. The cited Cboe research is historical product-specific evidence, not a live inventory feed. Model outputs should remain distinguishable from observed market facts.
A worked example
Two allocations of identical OI produce +4,000 and −4,000 shares per dollar of Gamma. The observed contracts did not change; the allocation assumption did. The chart displays that sign uncertainty.
Without stronger ownership evidence, a claim that dealers must buy the next decline is not established. A later coincidental matching move would not prove the hidden input.
Observation, model and inference—worked comparison
Vertical: Modeled Gamma (shares/USD)
Horizontal: Inventory allocation
1. Fictional example
Read the graph as a data table
| Inventory allocation | Fictional example |
|---|---|
| 1 | -4,000 |
| 2 | 0 |
| 3 | 4,000 |
What would invalidate the reading?
A story can be internally consistent but built on an invented sign. Price agreement after the fact is not causal verification.
Check your understanding
Try the question before revealing its answer. These are reading checks, not trading certification or a site completion record.
What is the critical failure to avoid?
Reveal the worked answer
A story can be internally consistent but built on an invented sign. Price agreement after the fact is not causal verification.
Explain this risk before treating the example as a decision rule. A correct calculation does not guarantee a favorable market outcome.
Return to the question: What can dealer analytics actually establish? State the observed facts, the assumptions and the failure condition separately.
Sources, assumptions and downloadable script
External references support definitions and conventions. Worked scenarios and prose are original. No current quotes or dealer inventory are claimed.
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