QSE
    QSE Engine Version: v1.0•Deterministic•Probabilistic•Confidence-Based

    QSE Glossary

    Key terms and concepts used in the Quantum State Engine.

    This reference covers core terminology for confidence allocation, quantum states, factor scoring, module routing, Edge Spotter signal interpretation, and Market Landscape market-structure vocabulary. Use it alongside the pipeline documentation, the Market Landscape guide, and the framework overview.

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    Core Concepts

    Fundamental concepts that define how QSE works

    Confidence Allocation
    The full distribution of model confidence across five states: No, Not Likely, Unknown, Likely, and Yes. It shows how the available evidence is distributed, not the probability or odds of the outcome.
    Directional Allocation
    An interpretive summary of same-direction support. Positive allocation combines Yes and Likely, negative allocation combines No and Not Likely, and Unknown is excluded from both sides. It is not probability or odds and does not replace the full five-state Confidence Allocation.
    Evidence Strength
    A measure of how strongly available data supports or contradicts a proposition. Higher evidence strength produces more decisive confidence allocations.
    Fail-Closed
    A safety principle where the system returns "FAIL" or "Unknown" rather than fabricating data when information is unavailable or validation fails.
    Proposition
    A declarative yes/no claim that QSE evaluates. Must be phrased as a statement (e.g., "X will happen" or "X is true"), not a question.
    Quantum State
    One of five ordered confidence classifications: No, Not Likely, Unknown, Likely, or Yes. Each state describes a level and direction of evidential support.
    Unknown
    The middle state in the five-state Confidence Allocation. It represents evidence that is ambiguous, balanced, or insufficient, and it is excluded from both sides of Directional Allocation.

    Output Terms

    Terms describing what QSE produces

    Caveats
    Warnings or limitations that apply to the current analysis, such as data freshness concerns or missing context.
    Confidence Score
    A percentage (0-100%) indicating how dominant the final label is relative to other states. Higher scores mean stronger consensus toward that state.
    Data Freshness
    The timestamp indicating when the analysis was performed. QSE outputs are point-in-time snapshots that reflect evidence available at that moment.
    Divergence
    A difference between the Model Estimate and Market Estimate. It shows disagreement between two readings of the same outcome, not which reading is correct and not a guarantee of an opportunity.
    Final Label
    The dominant quantum state after analysis (e.g., "Likely" or "Unknown"). This is the primary classification output of QSE.
    Flip Conditions
    Scenarios or new information that could significantly change the analysis outcome if they occurred.
    Market Estimate (Market-Implied Probability)
    The market’s current implied probability for an outcome, derived from its quoted price or order book. It reflects market pricing at that moment and can be less informative when liquidity is thin.
    Model Estimate
    The QSE estimate used for comparison with the Market Estimate on supported market surfaces. It is derived from the five-state Confidence Allocation and should not be read as the allocation itself.
    Top Factors
    The key contributing signals that influenced the analysis. Each factor shows its direction (positive/negative) and strength (weak/moderate/strong).

    Technical Terms

    Internal mechanics and calculations

    Factor Score
    A discrete value assigned to each factor: -1 (strongly against), -0.5 (weakly against), 0 (neutral), +0.5 (weakly supports), or +1 (strongly supports).
    Factor Weight
    An integer from 1-10 indicating the relative importance of a factor. Higher weights amplify the factor's influence on the final result.
    Normalization
    The mathematical process of converting raw scores to a standardized scale, ensuring consistent output ranges regardless of input variance.
    R (Raw Sum)
    The weighted sum of all factor scores before normalization. A positive R suggests support for the proposition; negative suggests opposition.
    Run ID
    A unique identifier for each analysis execution, ensuring every run produces fresh results and enabling verification of output uniqueness.
    Suppression
    A calibration mechanism that reduces overconfident outputs when evidence is weak or uncertain, biasing toward "Unknown" states.

    Modules & Modes

    Analysis modules and execution modes

    Auto Detect
    A routing mode that automatically selects the appropriate analysis module (General, NBA, NFL, NCAA MBB, NCAA WBB, Economics, NCAA FB, MLB, NHL, or Soccer) based on the content of the proposition.
    Chemical Exposure Module
    A specialized module for structured exposure scenario allocation. It runs its own dedicated pipeline with a structured input schema, layered validators, and a sealed response allowlist. It does not use the QSE engine or the Edge Spotter pipeline.
    DEMO Mode
    An execution mode using synthetic/placeholder data for illustration. No real-time provider calls are made. Useful for testing and demonstration.
    Economics Module
    A specialized module for macroeconomic event analysis using a locked 25-factor taxonomy covering inflation dynamics, labor market, growth and activity, policy and rates, and macro regime. Certain policy-action claims, such as Fed rate decisions, are deliberately failed closed rather than scored.
    Factor Taxonomy
    The locked set of factors used by a module. Sports modules (NBA, NFL, NCAA MBB, NCAA WBB, NCAA FB, MLB, NHL, and Soccer) use immutable 30-factor taxonomies, Economics uses its own locked 25-factor taxonomy, and the General module generates factors dynamically per run.
    General Module
    The default analysis module for non-sports propositions. Uses dynamically generated factors tailored to the specific claim being evaluated.
    LIVE Mode
    An execution mode that makes real calls to configured providers for live data analysis. Requires valid API keys and provider configuration.
    MLB Module
    A specialized module for MLB baseball analysis using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    NBA Module
    A specialized module for NBA basketball analysis using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    NCAA FB Module
    A specialized module for NCAA FB college football using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    NCAA MBB Module
    A specialized module for NCAA MBB men's college basketball using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    NCAA WBB Module
    A specialized module for NCAA WBB women's college basketball using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    NFL Module
    A specialized module for NFL football analysis using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    NHL Module
    A specialized module for NHL hockey analysis using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.
    Soccer Module
    A specialized module for Soccer football (soccer) using a fixed 30-factor taxonomy covering team performance, market signals, and matchup dynamics.

    Market Console

    Vocabulary for the ticker-first Market Console: market checks and QSE analyses are separate daily allowances, and Market Console output is never an Edge Spotter Signal

    Market Check (Check Market)
    The first Market Console step. Check Market resolves a Kalshi ticker to the exact market, its module, current YES and NO prices, spread, close time, and readiness, and returns the proposition QSE would evaluate. Each successful Check Market consumes one market check from the daily allowance (Free 10, Pro 40, Power 120). A market that is rejected before it is checked does not consume a market check.
    Market Console
    An on-demand QSE surface at /console/market for analyzing one specific Kalshi market by its ticker. The workflow is Check Market, confirm the exact market, then Run QSE Analysis. Market Console output is a Confidence Allocation for that market. It is not an Edge Spotter published Signal, it never enters the Signals, Track Record, or Opportunity Radar populations, and it is metered separately from QSE Console submissions.
    Proposition Console
    The original QSE Console at /console, where a user submits a declarative yes/no proposition in plain language. Called the Proposition Console wherever it must be distinguished from the Market Console. Its daily allowance is measured in QSE Console submissions and is independent of Market Console market checks and QSE analyses.
    QSE Analysis (Market Console)
    The second Market Console step, Run QSE Analysis, available only from a confirmed Check Market of the same ticker within 15 minutes. Each committed run consumes one QSE analysis from a daily allowance that is separate from market checks (Free 0, Pro 10, Power 30) and does not consume a second market check. A run that fails before the engine returns is not counted. Editing the ticker after a check permanently withdraws that check, so a fresh Check Market is required before running again.

    Edge Spotter & Opportunity Radar

    Concepts for published signals, the Opportunity Radar, and the Power-tier intelligence layer

    Academic Tier
    A neutral framing for module hit-rate quality bands (Tier 1 through Tier 4+), used in place of marketing claims. Bands describe historical accuracy ranges relative to a 50% probabilistic baseline.
    Brier Score
    A measure of probabilistic accuracy based on the squared difference between an assigned probability and the final outcome. Lower is better. It evaluates probability quality, not just whether the chosen direction was correct.
    Brier Skill
    A comparison of the model’s Brier Score with a reference Brier Score, such as the market’s, on the same matched population. Positive means the model had the lower Brier Score, while negative means the reference did. The metric is separate from Directional Hit Rate.
    Chosen-Side Probability
    The probability assigned to the YES or NO side selected by a Published Signal. Its average can be compared with the realized Directional Hit Rate on the same resolved population to assess whether confidence has been too high or too low.
    Cluster
    The set of live signals sharing the same event family (ticker prefix). Clusters help expose structurally related opportunities.
    Continuous Lifetime
    The duration a signal has remained continuously published without dropping out of the gate stack.
    Daily Digest
    A dated public summary of QSE activity and resolved market outcomes. It provides context for that day’s record and does not replace the complete Signals or Track Record pages.
    Directional Hit Rate
    The percentage of resolved Published Signals whose published YES or NO direction matched the final market outcome. It measures directional correctness, not probability calibration, and pending or void records are excluded.
    Early Window
    A published signal in the early portion of its time-to-close range. Typically the most time remains for the market to revise.
    Edge
    The uncertainty-adjusted difference between the Model Estimate and Market Estimate for a binary outcome. It is published as a percentage with a YES or NO direction and is not a guarantee or recommendation.
    Edge Persistence
    How long a signal has continuously survived publication thresholds. Higher persistence indicates an edge that has repeatedly cleared every gate over time.
    Expected Calibration Error (ECE)
    A summary of the count-weighted gaps between stated confidence and observed frequency across probability groups. Lower values indicate smaller calibration gaps, but the result depends on the sample and grouping used.
    First Seen
    The earliest publication observation recorded for a given market-and-direction edge within the lookback window.
    Late Window
    A published signal close to settlement. Less remaining time for the market to revise toward fair value.
    Lifecycle
    Where a Published Signal sits within its time-to-close progression, classified as Early Window, Mid Window, or Late Window. Late-window signals have less remaining time for the market to revise toward fair value.
    Liquidity Context
    The supporting context for a signal's marketability, translating raw liquidity observations into human-readable wording for the Power decision layer.
    Marketability (signal)
    A qualitative assessment of how easily a published edge can be acted upon, derived from observed liquidity and depth context. Not a price guarantee. Distinct from Marketability (Market Landscape), which is a share of observed order books.
    Marketability Rate
    A normalized measure of how marketable a signal currently is, surfaced in the Opportunity Radar drawer as wording such as "Highly marketable" or "Thin liquidity".
    Mid Window
    A published signal partway through its time-to-close range.
    Mispricing
    The raw difference between the Model Estimate and Market Estimate. Unlike Edge, it does not include QSE’s adjustment for Unknown confidence, so the two values can differ.
    Module
    A specialized QSE evaluation pipeline for a specific domain (e.g., NBA, NFL, MLB, NCAA MBB/WBB, Soccer, Economics, General, Chemical Exposure). Each module owns its own routing, factors, and calibration.
    Module Performance Context
    The historical hit-rate band for the module a signal came from, shown alongside the signal so users can judge it in module context. Power-tier surface only.
    Opportunity Intelligence Layer
    The Power-tier decision layer on top of published signals: Opportunity Radar, edge persistence, lifecycle, marketability, module performance, related opportunities, and PEM context.
    Opportunity Radar
    Live Power-tier visualization of every currently-published Edge Spotter signal. Radius encodes time-to-close, dot size encodes edge magnitude, color encodes YES/NO direction, and the spoke encodes the source module.
    Position Exit Manager (PEM)
    The internal review loop that re-evaluates active positions and emits Hold / Trim / Exit decisions with reason codes. The Opportunity Radar surfaces the latest PEM decision context for transparency, not as a recommendation.
    Position Review
    A single PEM evaluation of an active position, including a decision (Hold / Trim / Exit) and structured reason codes.
    Probability Calibration
    How closely stated probabilities match observed outcome frequencies across many resolved cases. For example, well-calibrated 70% estimates should resolve YES about 70% of the time over a sufficiently large comparable sample.
    Published Signal
    A candidate that automatically passed every Edge Spotter publication gate (liquidity, freshness, calibration, edge cap, suppression) at evaluation time, before the market outcome was known. Publication is rules-based, not outcome-based: published signals stay in the permanent record regardless of whether they later resolve CORRECT or INCORRECT. Only published signals appear on public surfaces and in the Opportunity Radar.
    Reliability Diagram
    A chart comparing average stated probabilities with observed outcome frequencies across probability groups. Values closer to the equal-frequency reference line indicate better calibration for that sample.
    Republication Count
    The number of times a signal has reappeared in the published set after previously dropping out. Higher counts can indicate edges that the market keeps re-mispricing.
    Resolved Signal
    A Published Signal whose market has closed and settled with a final YES or NO outcome. Resolved signals are counted as correct or incorrect in directional performance; pending and void records are excluded from that calculation.
    Signal Direction
    The YES or NO side identified by a Published Signal. It records which side the model favored relative to the market at publication time, not a promise about the final outcome.
    Track Record
    The public record of eligible Published Signals and their later outcomes. It reports directional performance from the permanent publication ledger without removing losses after the fact.

    Market Landscape

    Market-structure discovery vocabulary. Landscape describes observed order-book structure, never edge or probability. Read the full Market Landscape guide.

    Alluvial Diagram
    See Sankey diagram. A related flow visualization used to show movement between categorical states across multiple stages.
    Analytical Lens
    The measure the heat map colours by. Changing the lens changes what the colour encodes; it never reclassifies a family's structural state, and it is never a blended score.
    Change vs Prior Period
    An additional Market Landscape lens available to Pro and Power, showing the percent change in observed distinct tickers versus the previous equal-length window. Defined in full in the Market Landscape interface.
    Evidence Maturity
    How much observation history stands behind a row, reported as Supported, Preliminary, or Limited. It is separate from the structural state and governs whether comparisons against the previous window are shown.
    Failure State
    An additional Market Landscape lens available to Pro and Power, describing the share of marketability failures caused by one side of the book being missing. Defined in full in the Market Landscape interface.
    Historical Paths
    A descriptive QSE view showing how published Signal episodes moved from their Landscape state at publication through Signal direction, AutoTrader participation, PEM activity when applicable, and final market outcome. It uses the same public published-Signal population as the Edge Spotter Track Record, counts history only, and never ranks paths, forecasts a next state, or conditions Signals.
    Insufficient History
    Too little observation history in this window, or a previous window too thin to compare against. Presence is reported and no structural state is claimed.
    Liquidity
    How easily a market can be traded near its quoted price. Tighter spreads and greater order-book depth generally make a price more informative, while thin liquidity can make prices less stable or representative.
    Liquidity Formation
    The share of a family's observed books that were NOT yet marketable in the window. A higher value describes forming or immature liquidity, not a better market. Marketability is its direct complement.
    Market Class
    The grouping a family falls into within its module, for example a spread, total, or winner class. Used for labelling and navigation, not for ranking.
    Market Family
    A Kalshi series, for example every market in one player-points series. Families are the unit the Market Landscape colours.
    Market Formation (72h rank)
    The canonical 72-hour Market Formation rank shown above the Landscape. It is a separate, fixed-window ranking and is not the same thing as the window-scoped Liquidity Formation lens, which is a share of observed books inside whichever window you selected.
    Market Landscape
    A discovery surface describing the structure of the Kalshi order books QSE observed in a selected time window. It is market-structure observation only: never an edge, probability, forecast, or recommendation, and structural activity is never evidence that a signal exists.
    Marketability (Market Landscape)
    The share of a family's observed books that carried a tradeable two-sided quote meeting Edge Spotter marketability criteria. Higher means more of the observed books were tradeable. Distinct from Marketability (signal), which is per-signal wording in the Opportunity Radar.
    Newly Observed
    A family observed in this window with no observations in the previous equal-length window. A statement of presence only: it carries no evidence weight, is never shaded, and does not mean the family is heating up or becoming more important.
    Observation
    One recorded snapshot of one Kalshi order book. A single market observed many times contributes many observations.
    Observed Supply
    The count of distinct Kalshi markets observed inside a family during the window. Coverage is limited to markets QSE observed in supported modules, so absence does not mean a market was unavailable.
    Previous Equal-Length Window
    The window of identical length immediately before the selected one. Change figures are shown only when both windows carry enough observations to compare honestly.
    Sankey Diagram
    A flow visualization in which ribbon width represents the number or quantity of items moving between stages. In QSE Historical Paths, ribbons show how historical Signal episodes moved through Landscape state, Signal direction, AutoTrader participation, PEM status when applicable, and outcome.
    Signal Supply
    A count of published Edge Spotter signals attributed to a family in the window. A count of supply only, never a performance figure, and it takes no part in structural-state classification. Signal activity is shown only at a level that does not reveal protected individual signals, so some families show only that activity was observed, or nothing at all.
    Structural State
    A deterministic description of a family, computed from observed supply, marketable share, and how those changed against the previous equal-length window. States are descriptions, not rankings, and never imply opportunity. The possible states are Newly Observed, Emerging, Heating Up, Active, Established, Cooling, Fading, Dormant, and Insufficient History.
    Time Window
    The observation period a Market Landscape view covers. The default 72-hour window is available to everyone; shorter and longer windows are Pro and Power features.
    Trajectory
    An additional Market Landscape lens available to Pro and Power, describing the share of comparable recent book observations whose quoted spread narrowed. Defined in full in the Market Landscape interface.

    Important Notice: QSE outputs represent structured probabilistic confidence allocations based on available evidence and model assumptions. Edge Spotter signals are analytical market observations, not personalized recommendations. QSE and Edge Spotter are provided for informational and decision-support purposes only and must not be interpreted as financial, investment, wagering, medical, or health advice, nor as a substitute for professional judgment. Edge Spotter is an independent analysis tool and is not affiliated with, endorsed by, or sponsored by Kalshi.com.