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Gabriel Nicolaev - CyGuru
Gabriel Nicolaev - CyGuru
GLOBAL EDITION / ENGLISHGold market intelligenceIndependent intelligence by Gabriel Nicolaev – CyGuru
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06 / DOWNSIDE · 5M · RESEARCH DOSSIER

66 Downside Momentum

Did the SELL-only acceleration resume after the brief pullback?

SUPPORTED TIMEFRAME5m
EVALUATION PROFILEReference-close model
LINKED RESEARCH0 articles · 0 event trails

The research profile

66 Downside Momentum is an experimental reference model for SELL-only acceleration, a brief pullback and confirmed resumption. Its history is independent from the upside engine even when both operate on the same instrument.

What to review

Check the five-minute timeframe and SELL direction, then preserve the original risk plan and subsequent reports. A strong fall on a later screenshot is not enough to establish entry activation or the order of all intermediate levels.

Evidence and limits

No independently linked native-event case for this engine is present in the selected published archive. Missing examples should remain missing rather than being replaced with another engine’s success.

Registry and available archive reviewed 7 November 2026. A registered contract does not confirm the user’s current TradingView alert configuration. These pages describe implemented research profiles; no proprietary formula or current performance statistic is inferred.

Preserved event timelines

No preserved native-event trail is linked for this indicator yet. Source captures in a case article retain their own evidence classification.

Selected published articles

No individual case article is linked from the current selected archive. This says nothing about the full population of signals.

Continue the investigation

Engine identity and integration66-DOWNSIDE-MOMENTUM-V1

The identifier connects this profile with its own signal history. Custom Pine runs in TradingView; the hosted chart supplies a separate market view.

Supported alert contract →
RESEARCH BYGabriel Nicolaev — CyGuru

CyGuru Gold · Indicator reporting and source-aware research.