FinanceSignalKind

Enum FinanceSignalKind 

#[non_exhaustive]
pub enum FinanceSignalKind {
Show 13 variants VolatilityScale, JumpEvent, TrendRegime, ImfDecomposition, DenoisedPriceOverlay, CrossAssetRelationship, WptBandEnergy, CwtPhaseCoherence, CwtSpectralFingerprint, Multifractal, WaveletAnomalyScore, JumpDiffusionPrior, MarketPosture,
}
Expand description

Product-facing signal families exposed by the finance boundary.

Variants (Non-exhaustive)§

This enum is marked as non-exhaustive
Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.
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VolatilityScale

Multi-scale realized volatility and horizon contribution signal.

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JumpEvent

Jump, gap, and stress event signal.

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TrendRegime

Trend, cycle, and market-regime signal.

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ImfDecomposition

Standalone empirical-mode decomposition signal.

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DenoisedPriceOverlay

Denoised price/return overlay signal.

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CrossAssetRelationship

Benchmark, sector, pair, or portfolio relationship signal.

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WptBandEnergy

Wavelet packet transform band-energy fingerprint signal.

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CwtPhaseCoherence

Continuous wavelet transform phase-locked coherence signal.

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CwtSpectralFingerprint

Continuous wavelet transform global-spectrum “spectral fingerprint” signal: amplitude-preserved per-period power vector (the time-averaged scalogram, Torrence & Compo 1998), dominant period, and spectral centroid.

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Multifractal

Wavelet leader multifractal analytics signal (Hurst exponent, optional multifractal spectrum summary, and liquidity warning).

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WaveletAnomalyScore

Multi-scale ECOD anomaly score over MODWT detail scales: a continuous, threshold-free, per-scale-attributable stress score (Li et al. 2022).

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JumpDiffusionPrior

Parametric physical-measure Merton jump prior: annualized jump intensity λ plus log-jump-size mean/std (μ_J, σ_J) with estimator uncertainty, aggregated from wavelet-detected jumps (#85).

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MarketPosture

Composite product posture derived from one or more component signals.

Implementations§

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impl FinanceSignalKind

pub fn required_transform(self) -> Option<FinanceTransformKind>

The canonical transform family this signal’s compute path validates against, or None for the composite FinanceSignalKind::MarketPosture (which derives from already-computed component signals and runs no transform of its own).

Where a signal’s validator accepts more than one family, this returns the canonical (default) choice:

pub fn accepts_transform(self, transform: FinanceTransformKind) -> bool

Whether this signal’s compute path accepts transform.

Strict single-transform signals accept only their required_transform; the flexible families accept their documented alternatives (JumpEvent: MODWT or DWT; TrendRegime: MODWT, EMD, or EEMD; ImfDecomposition: EMD or EEMD). Composites (whose required_transform is None) accept no transform.

Used by FinanceProfile::resolve_for_signal to preserve a deliberately-chosen valid transform instead of forcing the canonical one.

pub fn component_inputs(self) -> Option<SignalDependencies>

The component signals a composite signal derives from, or None for leaf signals that compute directly from a transform.

The required/optional split mirrors the corresponding signal function’s signature, so an orchestrator can topologically compute composites and degrade gracefully when an optional input is missing. For FinanceSignalKind::MarketPosture this matches market_posture_signal: volatility, jump, and trend are required; the WPT band-energy fingerprint is optional.

Trait Implementations§

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impl Clone for FinanceSignalKind

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fn clone(&self) -> FinanceSignalKind

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for FinanceSignalKind

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for FinanceSignalKind

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fn eq(&self, other: &FinanceSignalKind) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Copy for FinanceSignalKind

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impl Eq for FinanceSignalKind

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impl StructuralPartialEq for FinanceSignalKind

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