Reference
Glossary
The vocabulary behind Spectral Waves — the concepts, methods, and proprietary terms used across the platform and our research.
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Behavioral finance
# - A field that studies how cognitive biases and emotional reactions shape the decisions of market participants — and, in aggregate, the price action they produce. Spectral Waves treats behavioral effects as primary drivers of trend formation and reversal.
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Bifurcation point
# - In nonlinear systems, a point at which a small change in conditions causes a sudden qualitative shift in behavior. In markets, a bifurcation point often coincides with a trend reversal or a sharp expansion in volatility.
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Chaos theory
# - The mathematical study of systems whose long-term behavior is highly sensitive to initial conditions. Spectral Waves applies principles inspired by Benoit Mandelbrot's work — fractal self-similarity and bifurcation analysis — to financial price series.
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Confirmation bias
# - The tendency for participants to seek and weight information that confirms an existing position while discounting evidence against it. In aggregate, it produces feedback loops that extend trends past their fundamentally justified range.
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Fractal cluster
# - A grouping of self-similar price structures that repeat across multiple timeframes (weekly, daily, hourly). Spectral Waves treats fractal clusters as evidence of structural alignment and as a precursor to high-quality setups.
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Herd behavior
# - The tendency of market participants to follow the actions of a larger group rather than independent analysis. It amplifies trends, accelerates momentum, and produces emotional overreactions at extremes.
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Invalidation zone
# - A price band that, if breached, falsifies the thesis behind a setup. Spectral Waves derives invalidation zones from proprietary volatility measures, so they are tied to the structure of the move rather than to a fixed percentage stop.
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Momentum acceleration
# - A behavioral pattern in which the rate of price change itself accelerates as more participants enter the same direction. It typically precedes either a continuation breakout or an emotional exhaustion peak.
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Multi-timeframe alignment
# - Confirmation of a market structure across the weekly, daily, and hourly views simultaneously. Spectral Waves treats alignment as a quality signal — opportunities that align across timeframes carry higher conviction than single-timeframe signals.
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Oscillator
# - A bounded technical indicator that measures the relative position of price within a range. Spectral Waves uses proprietary oscillator-based analytics derived from behavioral and volatility components, not the conventional momentum oscillators of standard technical analysis.
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Risk-reward ratio
# - The expected reward of a trade divided by the risk taken to capture it. Spectral Waves models both sides from volatility-derived target zones and invalidation zones, producing a quality score that filters opportunities by structural attractiveness, not just direction.
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Self-similarity
# - A property of fractal systems where structures at one scale resemble structures at another. In price series, self-similarity across timeframes is a signal that a behavioral pattern is structurally significant rather than incidental.
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Spectral wave
# - Spectral Waves' proprietary representation of a price structure that integrates behavioral, fractal, and volatility components into a single waveform. The platform's name refers to this unified representation, not to spectral analysis in the signal-processing sense.
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Trend maturity
# - An assessment of how far a trend has progressed within its expected lifecycle. Spectral Waves tracks trend maturity to flag setups where a continuation is statistically less attractive than a reversal — useful for sizing and timing decisions.
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Turning point
# - A projected location in price and time where trend direction is likely to reverse. Spectral Waves derives turning point projections from bifurcation analysis and multi-timeframe wave detection, then validates them against volatility regimes.
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Volatility regime
# - A persistent state of the volatility distribution — for example, low-and-stable, expanding, or contracting. Spectral Waves uses regime classification to interpret signals contextually: the same wave structure means different things in different regimes.
Related: Turning point , Spectral wave
Related: Self-similarity , Multi-timeframe alignment
Related: Risk-reward ratio
Related: Fractal cluster
Related: Invalidation zone
Related: Fractal cluster
Related: Bifurcation point
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