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PRNG tomography & market interpreters / Note

Dimensional Market State v6

Reference23 Aug 2026 · saved

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01 / THE QUESTION

Editorial guide

If each completed OHLCV bar is kept as a multidimensional state rather than projected to UP/DOWN, can a nearest-analogue decoder predict the next numeric return?

02 / WHAT THE RECORD SAYS

Editorial guide

The record is a method specification only: 50 base coordinates, two relational-difference layers, a nearest-analogue decoder and a walk-forward rule. It reports no outcome.

03 / LIMITS & OPEN POINTS

Editorial guide

No accuracy, baseline comparison or uncertainty appears in this record; the single test uses 448 training states and 46 hidden future states.

04 / THE NEXT QUESTION

Editorial guide

Do the walk-forward predictions beat simple baselines on the hidden future and across the 100 repeated windows? The record does not say.

05 / CHECKS IN THE RECORD

Editorial guide

This record does not separate a verification section. Read its methods, assumptions and original source before treating a claim as checked.

Source & provenance

Access
Public
Dates declared in the record
Not recorded
Project basis
Editorial topic association
Origin
d0re research collection (snapshot 1 October 2026)
Original path
/METHOD.md
Authorship basis
Collection attribution; original record retains its own credits
Title basis
From the source
Date
23 Aug 2026 · saved
Status basis
r-0e49c4b376ca is a standalone method note that replaces an earlier, unregistered test: "The previous test was rejected because it projected each bar to UP/DOWN before the relational analysis."
Size
1,011 bytes
Word count
137 words
SHA-256 of indexed source
0e49c4b376caad9b93159f8685d85811a0deb09aa1311f5a253e7fdfe9958c7e

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Dimensional Market State v6
2026-08-23
d0re research record r-0e49c4b376ca
https://www.d0re.com/library/records/r-0e49c4b376ca.html
Authorship basis: Collection attribution; original record retains its own credits
Date basis: saved
Source SHA-256: 0e49c4b376caad9b93159f8685d85811a0deb09aa1311f5a253e7fdfe9958c7e

Independent research by Anthony Michael Collado.
Original credits remain with each source.