Reader Guide
How To Read The Charts
A chart-by-chart guide to Vyreon's volatility, expectation, options-structure, calibration, and validation views.
Vyreon Labs publishes five charts in each SPY Financial Telemetry Report. Each chart answers a different question about the market and the model.
The charts are designed to be read together. No single chart provides a complete market view. One chart describes current volatility conditions. Another shows forward expectation states. Another maps the current options structure. The final two charts evaluate whether the model remains stable and whether its volatility signal corresponds with realized market behavior.
This page explains what each chart shows, how to read it, and what it does not mean.
The example values shown on this page will change as new market data arrives. The reading method stays the same.
For definitions of recurring terms, see the Glossary. For a deeper explanation of the system, see the Methodology. Common questions are answered in the FAQ.
A Simple Reading Order
A weekly report is easiest to understand in this order:
- Read the Current Volatility Regime chart. This shows whether market behavior is becoming more stable or less stable relative to recent expectations.
- Read the Forward Return Expectation States chart. This shows the expected return state and uncertainty for four time horizons.
- Read the Current Options Structure chart. This shows where options inventory and volatility structure are concentrated across expiration dates.
- Read the Actual Versus Expected Returns chart. This shows whether realized outcomes continue to align with the model's expected means and ranges.
- Read the Volatility Signal Versus Realized Volatility chart. This shows whether the model's innovation-based volatility signal continues to correspond with independent measures of realized volatility.
The first three charts describe the market. The final two charts describe the health of the measurement system.
Important Ideas Before Reading
The Four Horizons Are Different Market States
Vyreon separates the options matrix into four forward horizons:
- Near-term, based on options from 8 to 30 calendar days.
- Short-term, based on options from 31 to 60 calendar days.
- Medium-term, based on options from 61 to 120 calendar days.
- Long-term, based on options from 121 to 365 calendar days.
The charts often describe these horizons by their approximate effective lengths:
- About 19 days.
- About 46 days.
- About 90 days.
- About 243 days.
These effective lengths are averages across several sampled dates inside each horizon. They are not promises about what will happen on one exact date.
The four horizons do not need to agree. A negative near-term state can exist beside a positive long-term state. This can describe a short pullback inside a stronger long-term structure. It can also describe a transition that has not yet resolved.
A Central Expectation Is Not A Guarantee
The expected mean is the center of the current estimated outcome range. It is not an exact target.
The surrounding bands show uncertainty. A wide band means more outcomes remain plausible. A narrow band means the current estimate is more concentrated.
A 95% expected range should contain most realized outcomes over a large sample. It should not contain every outcome. A market can move outside the range.
Zero Has A Specific Meaning
In the return charts, the horizontal zero line separates positive and negative return states.
A mean above zero is positive at the center. A mean below zero is negative at the center. The full range matters more than the mean alone.
Vyreon uses these classifications:
- Positive: the full 95% expected range is above zero.
- Negative: the full 95% expected range is below zero.
- Mixed: the 95% expected range crosses zero.
Mixed does not mean that the model has failed. It means both positive and negative outcomes remain inside the current expected range.
1. Current Volatility Regime: Innovation Dispersion
What This Chart Measures
The Current Volatility Regime chart measures the recent magnitude of model innovations.
An innovation is the difference between what the model expected and what was later observed. Small innovations mean realized market behavior remained close to the prior estimated state. Large innovations mean the market departed more strongly from prior expectations.
The chart combines innovations across the four horizons into a single dispersion measurement. This creates a current view of repricing instability across the system.
The measurement is not based on price direction. A strong upward move can produce a large innovation. A strong downward move can also produce a large innovation. The chart measures the size of the mismatch, not whether that mismatch was bullish or bearish.
The Light Red Line
The light red line shows raw innovation dispersion.
This line reacts quickly. It can rise sharply when one or more horizons experience a large surprise. It can also fall quickly after a temporary shock passes.
The raw line answers:
How large is the current model mismatch right now?
Because it is reactive, one isolated spike should not automatically be treated as a lasting regime change.
The Dark Red Line
The dark red line is an exponential moving average of the raw signal. The example chart uses an EMA with a length of 10 observations.
The EMA reduces daily noise. It shows whether innovation magnitude is rising or falling as a broader trend.
The EMA answers:
Is the market becoming more or less aligned with recent expectations over time?
A rising EMA indicates expanding innovation dispersion. Realized behavior is moving farther from prior expectations on average.
A falling EMA indicates compressing innovation dispersion. Realized behavior is moving closer to the model's current state on average.
The Title Statistics
The chart title shows three useful values.
Latest raw is the newest raw innovation-dispersion reading.
EMA is the current smoothed level.
Window change in EMA shows how much the smoothed trend changed during the reporting window.
These values can describe different parts of the same state.
For example, the latest raw value can fall below the EMA while the window change in EMA remains positive. This means the immediate shock has cooled, but the broader volatility trend is still higher than it was at the start of the window.
The opposite can also happen. The latest raw value can jump above the EMA while the EMA is still falling. This means a new disturbance has appeared, but it has not yet become a sustained trend.
How To Interpret The Relationship Between The Lines
When the raw line is above the EMA, current innovation pressure is stronger than its recent trend.
When the raw line is below the EMA, current innovation pressure is weaker than its recent trend.
A raw line crossing above the EMA can be an early sign of renewed instability. A raw line crossing below the EMA can show that a recent disturbance is fading.
The direction of the EMA remains important. Raw below EMA with a rising EMA is different from raw below EMA with a falling EMA.
A useful reading sequence is:
- Check whether raw is above or below the EMA.
- Check whether the EMA is rising or falling.
- Check whether the newest raw move is isolated or part of a repeated pattern.
- Compare the result with the expectation chart and options structure chart.
What High And Low Readings Mean
A high reading means the market is producing larger innovations relative to the recent model state. This often occurs during repricing, regime transition, volatility expansion, or structural disagreement.
A low reading means realized behavior is staying closer to prior expectations. This often occurs during a stable trend, a quieter market, or a period when the model has adapted to the current structure.
Low innovation dispersion does not mean that market risk has disappeared. It means the current market is behaving more consistently with the model's existing state.
High innovation dispersion does not mean that price must fall. It means the market is behaving less consistently with prior expectations.
Common Mistakes
Do not read this as a bullish or bearish indicator.
Do not treat one raw spike as proof of a permanent regime change.
Do not assume that a falling raw line means volatility is already low. The EMA can remain elevated after the immediate spike has faded.
Do not compare the raw number directly with VIX. The chart uses a model-based innovation measurement in return space. It is not an implied-volatility index.
The Main Question This Chart Answers
Is the market becoming more stable or less stable relative to what the model previously expected?
2. Horizon-Averaged Forward Return Expectation States
What This Chart Measures
This chart shows the model's current forward return state for each horizon.
Each panel represents one maturity bucket. The system estimates a horizon-averaged return rather than one exact terminal return.
For each bucket, the realized target is calculated from several future dates spread across the horizon. The returns to those dates are averaged. This reduces dependence on one isolated endpoint and describes the broader path of the horizon.
The chart therefore answers:
What return state is currently associated with each part of the options time structure?
The Four Panels
The upper-left panel is the near-term horizon, with an effective length of about 19 days.
The upper-right panel is the short-term horizon, with an effective length of about 46 days.
The lower-left panel is the medium-term horizon, with an effective length of about 90 days.
The lower-right panel is the long-term horizon, with an effective length of about 243 days.
The effective horizon is the average of the sampled future dates. The complete target is not fully known until the upper boundary of the bucket has matured.
The Blue Expected-Mean Line
The blue line is the central expected return state.
A rising line means the estimated return state is becoming more positive or less negative.
A falling line means the estimated return state is becoming more negative or less positive.
The current value appears in the panel title as the expected mean.
The expected mean should not be read alone. Its uncertainty bands determine whether the state is Positive, Negative, or Mixed.
The Darker 68% Band
The darker inner band shows the narrower expected range around the mean.
It represents the more concentrated part of the current estimate. Outcomes near this band are more central to the model's present state.
The darker band is useful for seeing how tightly the model is clustering the more likely outcomes. It should not be interpreted as a guarantee.
The Lighter 95% Band
The lighter outer band shows the wider 95% expected range.
This is the main band used for state classification and calibration assessment.
A wide 95% band means the model sees substantial uncertainty. A narrow band means the model sees a more concentrated set of outcomes.
The chart labels these bands as confidence intervals. In practical report language, they are best read as expected ranges for future realized horizon outcomes.
The Horizontal Zero Line
The black horizontal line marks zero return.
The position of the full 95% range relative to this line determines the current classification.
If the entire 95% range is above zero, the horizon is Positive.
If the entire 95% range is below zero, the horizon is Negative.
If the range crosses zero, the horizon is Mixed.
A mean of positive 5% can still be Mixed if the lower edge of the range is below zero. A mean of negative 3% can also be Mixed if the upper edge remains above zero.
Reading One Panel
Use four steps.
First, read the current expected mean in the title.
Second, read the current 95% expected range.
Third, check whether the range is fully above zero, fully below zero, or crossing zero.
Fourth, examine how the mean and range changed through the displayed window.
A rising mean with narrowing bands shows increasing positive concentration.
A falling mean with widening bands shows a more negative state with increasing uncertainty.
A mean moving toward zero with narrowing bands can show stabilization around a neutral state.
A sharp widening of the bands can be as important as movement in the mean. It means the model's uncertainty increased even if the central estimate changed only slightly.
Comparing The Four Horizons
The relationship between horizons is one of the most important parts of the report.
When all four means move in the same direction and the ranges support the same classification, the structure is coherent.
When near-term and short-term are negative while medium-term and long-term are positive, the market may be describing short-run weakness inside a stronger longer-run structure.
When the means disagree and all ranges cross zero, the structure is unresolved.
When one horizon changes sharply while the others remain stable, the transition may still be local to that part of the maturity curve.
Do not force the four panels into one answer. Their disagreement is itself information.
What A Strongly Positive Long-Term State Means
A long-term range fully above zero means the model currently assigns a positive state to the long horizon with enough confidence that zero falls outside the 95% range.
This is stronger than a positive mean with a Mixed range.
It does not mean price must rise immediately. Near-term conditions can remain negative or unstable while the long-term state stays positive.
What Wide Intervals Mean
Wide intervals do not mean the model has no value.
They mean the current state admits a broad set of outcomes. This can occur during market transition, elevated innovation dispersion, unstable options structure, or limited agreement among the inputs.
Uncertainty is part of the output. Hiding it would create a false sense of precision.
Common Mistakes
Do not read the expected mean as an exact price target.
Do not assume that a positive mean means the entire state is Positive.
Do not assume that a Mixed state means the model is neutral in every sense. The mean can still lean positive or negative.
Do not assume that different horizons are contradictory. They describe different parts of the future path.
Do not compare the numerical size of a near-term return directly with a long-term return without considering the different horizon lengths.
The Main Question This Chart Answers
What return state and uncertainty does the system currently estimate for each forward horizon?
3. Current Options Structure And Expected Price Ranges
What This Chart Measures
This chart is a snapshot of the current options matrix.
It shows where options inventory is concentrated, where the volatility structure is concentrated, how those centers change across expiration dates, and where open interest is concentrated through time.
It also places the model's current horizon price ranges over the options structure.
The chart has two panels.
The upper panel shows strike and price structure.
The lower panel shows call and put open interest by expiration date.
The Horizontal Axis
The horizontal axis shows option expiration dates.
Dates close to the left side are near-term expirations. Dates farther to the right are longer-term expirations.
This makes the chart a term-structure view. It shows how the options matrix changes as time to expiry increases.
The Vertical Axis In The Upper Panel
The vertical axis shows strike or price level.
The options-derived centers and the current SPY price use the same vertical scale. This allows their relative positions to be compared directly.
The Blue Positioning-Center Line
The blue line shows the positioning center for each expiration date.
This center is based on the distribution of open interest across strikes. Contracts with more open interest have more influence on the center.
The positioning center answers:
Around which strike is the outstanding options inventory concentrated for this expiration?
It does not show trader intent. It does not tell us whether the contracts were bought or sold. It does not prove that participants expect price to move to that strike.
A positioning center below spot means the inventory center is below the current price. A positioning center above spot means it is above the current price.
The path of the blue line across expirations shows the term structure of options inventory.
The Green Volatility-Center Line
The green line shows the volatility center for each expiration date.
This is a compact measurement of where the implied-volatility and sensitivity structure is concentrated across strikes.
The volatility center answers:
Around which strike is the volatility-sensitive structure concentrated for this expiration?
The green and blue lines often remain close, but they do not measure the same object.
A widening gap between them means the volatility structure and the open-interest structure are centered at different strike levels.
A narrowing gap means the two structural centers are becoming more aligned.
The direction and size of that separation can be useful context. It is not a direct signal by itself.
The Black Dashed Current-Price Line
The black dashed line shows the current SPY price.
This provides the reference point for the two structural centers.
When the positioning and volatility centers are close to current price, the options structure is concentrated near spot.
When one or both centers are far from spot, the current price and the options structure are more widely separated.
A large separation is not automatically bullish or bearish. The meaning depends on the horizon, the direction of the separation, the field width, and the broader model state.
The Overall Positioning And Volatility Centers
The dashed blue line shows the overall positioning center across the displayed options matrix.
The dashed green line shows the overall volatility center.
These aggregate lines summarize the full snapshot. They are useful for quickly comparing the broad options structure with current price.
The aggregate values can hide important differences among expirations. Always inspect the expiration-specific lines as well.
The Shaded Expected-Price Ranges
The shaded blocks show the current model-implied price ranges for the four horizons.
These ranges are created by applying the expected return ranges to the current spot price.
They are not calculated from the positioning centers alone. They combine the current model state, the causal return baseline, and predictive uncertainty.
The shaded areas allow the model's expected price ranges to be compared with the current options structure.
When a structural center falls inside a horizon's expected price range, that center is within the model's current set of plausible outcomes for that horizon.
When a center falls outside the range, the options center and the current expected-return state are more widely separated.
This comparison is context, not proof that one object is correct and the other is wrong.
The Lower Open-Interest Panel
The lower panel shows open interest by expiration date.
Blue bars represent call open interest.
Orange bars represent put open interest.
The bars are stacked. Their full height shows total open interest for that expiration.
The chart title reports total open interest and the overall call and put shares.
Large bars show dates where a substantial amount of contract inventory is concentrated. Small bars show thinner expirations.
A large expiration can have more influence on aggregate structural measurements than a small expiration.
How To Read Call And Put Composition
A put-heavy options matrix is not automatically bearish.
Puts are widely used for hedging, insurance, structured products, and risk management. A large put share can be a normal feature of index options markets.
Calls are also used for many purposes. They can represent directional exposure, income strategies, hedges, or multi-leg structures.
Open interest records outstanding contracts. It does not identify the private purpose of each position.
Read the call and put composition as inventory structure, not as a direct vote count.
Five Useful Relationships To Inspect
First, compare the positioning center with current price.
Second, compare the volatility center with current price.
Third, compare the positioning and volatility centers with each other.
Fourth, examine whether the centers rise, fall, or remain flat across expiration dates.
Fifth, inspect where open interest is concentrated and whether those large expirations correspond with changes in the structural lines.
The strongest interpretation comes from these relationships, not from one isolated point.
Common Mistakes
Do not call a positioning center guaranteed support or resistance.
Do not call a volatility center a price target.
Do not assume that price must return to the overall positioning center.
Do not treat put-heavy open interest as a simple bearish signal.
Do not assume that every small expiration-specific movement is meaningful. Thin expirations can be noisy.
Do not confuse the shaded price ranges with the range of available option strikes. They are model-implied expected ranges.
The Main Question This Chart Answers
How are options inventory and volatility structure distributed across strike and expiration, and how do those structures compare with current price and model expectations?
4. Recent Performance: Actual Versus Expected Returns
What This Chart Measures
This is the main model-health chart.
It compares realized horizon-averaged returns with the model's expected mean and expected range.
The chart does not show trading profit. It does not assume a position was opened on every date. It evaluates whether the measurement system remains aligned with later realized outcomes.
Each panel corresponds to one of the four horizons.
The Blue Realized-Return Line
The blue line shows the realized horizon-averaged return.
This is the outcome later calculated from the sampled future dates inside the bucket.
Because each target averages several forward returns, the line is smoother than a single-day return series. Nearby issue dates also share parts of the same future price path. This creates overlap and serial dependence.
The blue line answers:
What outcome was later realized for this horizon state?
The Orange Expected-Mean Line
The orange line shows the model's expected mean for the corresponding state.
When the orange and blue lines move together, the model is tracking the broad shape of the realized state.
Temporary separation is normal. Persistent separation in one direction can indicate bias.
If the orange line remains consistently below the blue line, the model may be underestimating realized returns.
If it remains consistently above the blue line, the model may be overestimating realized returns.
A model can have good interval coverage while still showing central bias. This is why both the line relationship and the expected range matter.
The Gray 95% Expected Range
The gray band shows the 95% expected range around the model state.
The main calibration question is whether realized values remain inside this band at approximately the intended frequency over many observations.
Some realized values should leave the band. A 95% range is not expected to contain 100% of outcomes.
Coverage materially above 95% can mean the model is conservative. The range may be wider than necessary.
Coverage materially below 95% can mean the range is too narrow, the mean is biased, the residual process changed, or the market moved through a regime that the model did not capture quickly enough.
The Observation Count
Each panel reports the number of evaluated observations.
More observations create a more stable calibration estimate.
The long horizon often has fewer observations because each target takes longer to mature. Recent long-term forecasts cannot be evaluated immediately.
Observation counts should be compared when evaluating changes in percentages. A one-point change based on a small sample means less than the same change based on a large sample.
Average Error
Average error reports the typical size of the difference between realized and expected returns.
A stable average error suggests the model's central tracking quality has remained similar.
A rising average error can signal weaker alignment, a changing regime, a data issue, or a problem in the model pipeline.
The sign of the error is not shown by the average size alone. The chart lines must be inspected for persistent overprediction or underprediction.
Within Expected Range
Within expected range is the share of evaluated outcomes that remained inside the 95% band.
This is a calibration statistic, not a directional hit rate.
A value of 98% does not mean the model predicted the exact return correctly 98% of the time. It means 98% of evaluated realized outcomes fell inside the displayed expected ranges.
A wide interval can produce high coverage even when the central mean is not precise. The expected-range percentage must therefore be read with average error and visual tracking.
The Out-Of-Sample Marker
The dotted vertical line marks the start of the out-of-sample evaluation region shown by the chart.
This separates earlier model-development data from later observations that were not part of the original fit in the same way.
Performance after this marker is more informative about generalization than performance inside the original training period.
The Live Marker
The dashed vertical line marks the live-operation boundary within the chart's date convention.
The x-axis uses an effective matured date. This is the issue date plus the average forward horizon for the bucket.
Because of this convention, the horizontal position of a point is not the exact date when the full label became available. The complete grid-mean target becomes available only after the upper boundary of the bucket has occurred.
The Live marker is useful for separating broad historical and live periods. It should not be interpreted as proof that every point immediately to its right was a fully matured forecast issued after live launch.
How To Assess Calibration
Start with coverage. Check whether the percentage remains reasonably close to the intended 95% level.
Then inspect average error. Stable coverage with rising error can mean the bands widened enough to contain larger misses.
Then inspect the orange and blue lines. Look for persistent directional separation.
Finally, compare behavior before and after the Out-of-Sample and Live markers.
A healthy chart generally has:
- Realized values mostly inside the expected range.
- Stable average error.
- Expected and realized lines moving together without persistent one-sided separation.
- No sudden deterioration after the out-of-sample or live boundary.
What This Chart Does Not Prove
It does not prove that the expected mean is directly tradeable.
It does not show execution costs, option convexity, position sizing, or portfolio performance.
It does not guarantee that future calibration will match historical calibration.
It does not remove the possibility of large shocks outside the expected range.
It is a model-health chart. Its purpose is to show whether the estimator remains stable, probabilistically coherent, and broadly aligned with realized outcomes.
Common Mistakes
Do not treat coverage as directional accuracy.
Do not assume that 100% coverage would be ideal. That can indicate excessively wide intervals.
Do not judge the model only by how closely the orange line overlaps the blue line. The uncertainty band is part of the forecast.
Do not interpret the Live marker without reading the x-axis definition.
Do not compare the number of long-term observations directly with the number of near-term observations without considering maturation delay.
The Main Question This Chart Answers
Are realized horizon outcomes continuing to behave consistently with the model's expected means and uncertainty ranges?
5. Volatility Signal Versus Realized Volatility
What This Chart Measures
This chart evaluates the interpretation of the volatility signal.
The model's volatility signal is based on innovation magnitude. It measures how strongly realized market behavior departs from prior expectations.
To test whether this signal corresponds with observable market volatility, the chart compares it with two independent realized-volatility estimators.
The chart is a validation chart. It is not the current short-window volatility regime chart.
The Blue Close-To-Close Line
The blue line shows 21-day close-to-close realized volatility.
This measurement uses the sequence of daily closing-price changes.
It captures how variable returns have been across the recent 21-day window.
The Green Parkinson Line
The green line shows 21-day Parkinson realized volatility.
This estimator uses the daily high and low range rather than only closing-price changes.
It can capture intraday movement that does not appear fully in close-to-close returns.
The two realized-volatility lines often move together, but they are not identical. Their agreement provides a stronger reference than either measure alone.
The Orange Volatility Signal
The solid orange line shows the smoothed model volatility signal.
The faint orange line shows the raw signal before smoothing.
The raw line reacts quickly and can contain sharp spikes. The smoothed line emphasizes the broader trend after a warmup trim.
The signal reflects model innovation magnitude and the alignment between realized market behavior and prior expectations.
A high orange value means model innovations are elevated relative to their history.
A low orange value means innovations are subdued relative to their history.
The Standardized Vertical Scale
All series are standardized before plotting.
The vertical axis is a Z-score scale. It expresses each series relative to its own historical mean and standard deviation.
A value near zero means the series is near its typical level for the displayed sample.
A positive value means it is above its typical level.
A negative value means it is below its typical level.
Negative values do not mean negative volatility. Volatility cannot be negative. They mean the standardized level is below its historical average.
A value of 4 does not mean 4% volatility. It means roughly four standard deviations above the series' own reference level.
Standardization allows series with different raw units to be compared by shape and timing.
The Correlation Values
The title reports the correlation between the smoothed volatility signal and each realized-volatility estimator.
A correlation near 1 means the two series tend to rise and fall together strongly.
A correlation near 0 means little linear co-movement.
A negative correlation would mean they tend to move in opposite directions.
Strong positive correlation supports the interpretation that the innovation signal is measuring a real volatility-related state.
Correlation does not prove causation. It also does not mean the lines will match at every date.
How To Read Spikes
When all three main lines rise together, the model signal and realized volatility agree that market instability has increased.
When the orange line rises before the realized-volatility lines, the model may be detecting structural mismatch before it is fully expressed in the trailing realized-volatility windows. This should be treated as an observation, not as proof of a stable lead.
When realized volatility rises without a corresponding orange move, the price movement may be occurring in a way that remains relatively consistent with the model's current expectations.
When the orange signal rises more strongly than realized volatility, the market structure may be changing in a way that creates model surprise before producing an equally large price-based volatility reading.
Divergence is worth investigating. It is not automatically a failure.
The Out-Of-Sample And Live Markers
The dotted Out-of-Sample marker separates the later evaluation region from the original model-development period.
The dashed Live marker shows the start of live system operation.
The most useful question is whether the signal continues to track realized volatility after these boundaries.
A strong relationship only inside the training period would be weak evidence. A relationship that remains visible out of sample and during live operation is more meaningful.
How This Chart Differs From The Volatility-Regime Chart
The Current Volatility Regime chart focuses on the recent raw level and short-term trend of innovation dispersion.
The Volatility Signal Versus Realized Volatility chart focuses on long-run validation. It standardizes the series and compares their historical shape.
Use the first chart to understand the current regime.
Use this chart to decide whether the volatility signal continues to behave like a meaningful market-volatility measurement.
Common Mistakes
Do not interpret the Z-score as a volatility percentage.
Do not interpret a negative Z-score as negative volatility.
Do not assume that high correlation means the signal causes realized volatility.
Do not assume that the signal must lead realized volatility. The chart evaluates correspondence, not a guaranteed forecasting lead.
Do not compare the raw orange line directly with the blue and green lines without considering smoothing and standardization.
The Main Question This Chart Answers
Does the model's innovation-based volatility signal continue to move with independent measures of realized market volatility?
Reading All Five Charts Together
The charts become most useful when their information is combined.
Step 1: Identify The Volatility Regime
Start with current innovation dispersion.
Is the raw signal above or below its EMA?
Is the EMA rising or falling?
Is the latest move a single spike, or has instability remained elevated for several observations?
This tells you whether the market is becoming more or less aligned with prior expectations.
Step 2: Identify The Expectation State By Horizon
Read the four expected means and 95% ranges.
Which horizons are Positive, Negative, or Mixed?
Are the means rising or falling?
Are the intervals widening or narrowing?
This tells you where the return state is concentrated and where uncertainty remains high.
Step 3: Assess Cross-Horizon Coherence
Compare the four panels.
If all horizons point in a similar direction, the structure is coherent.
If the short horizons disagree with the long horizons, the market may be in a transition or a pullback within a broader trend.
If all intervals cross zero and the means move in different directions, the state is fragmented or unresolved.
Step 4: Compare Expectations With The Options Structure
Look at current price, positioning centers, volatility centers, and expected price ranges.
Are the centers near spot or far from it?
Do the centers rise or fall across expiration dates?
Where is open interest concentrated?
Do the larger expirations support the same broad structure as the expectation states?
This connects the model output with the current shape of the options matrix.
Step 5: Confirm Model Health
Read the two validation charts last.
Are realized returns remaining inside the expected ranges at a stable rate?
Are average errors stable?
Is there persistent bias between expected and realized returns?
Does the volatility signal still correspond with realized volatility?
A strong market narrative is less useful when model-health measurements are deteriorating. Validation keeps interpretation grounded.
Example Combinations
Near-Term Weakness With Long-Term Strength
The near-term mean can be negative while the long-term range remains fully positive.
This can describe temporary weakness inside a stronger long-run state. It can also describe the early stages of a larger reversal. The volatility and structure charts help distinguish these possibilities.
If innovation dispersion is falling and long-term structure remains coherent, the weakness may be contained.
If innovation dispersion is rising and structural centers are reorganizing sharply, the disagreement may represent a deeper transition.
Rising Innovation Dispersion With Widening Expectation Ranges
This combination indicates that realized behavior is moving away from prior expectations while the model is also becoming less certain about future outcomes.
This is a transition state. Direction may remain unresolved even though instability is clearly increasing.
Falling Raw Dispersion With An Elevated EMA
This means the newest disturbance is fading, but the broader regime remains elevated.
The market may be stabilizing after a shock without having returned to its earlier low-volatility state.
Strongly Aligned Positive Medium And Long Horizons
When the medium and long ranges are fully above zero and their means are rising, the broader structure is positive.
This does not remove near-term pullback risk. The near and short horizons still determine whether the immediate path is aligned with the broader state.
High Coverage With Rising Average Error
This means realized outcomes are still inside the expected ranges, but the central estimates are becoming less precise.
The bands may be wide enough to preserve coverage. This is why coverage cannot be read alone.
Strong Volatility Correlation With A Temporary Divergence
A long-run correlation can remain strong even when the volatility signal and realized volatility separate for a short period.
The divergence may contain useful information about how the market is changing. It may also be noise. The next several observations determine whether the separation persists.
What The Charts Cannot Tell You
The charts do not identify the intent of individual options traders.
They do not guarantee that price will move toward a positioning center or volatility center.
They do not provide personalized financial advice.
They do not include transaction costs, liquidity constraints, taxes, execution quality, or portfolio risk.
They do not remove the possibility of unexpected political, economic, corporate, or geopolitical events.
They do not prove that a historical relationship will continue unchanged.
They are measurements of current structure, estimated forward states, uncertainty, and model health.
A Final Five-Question Checklist
Before leaving a weekly report, answer these five questions:
- Is innovation dispersion expanding or compressing?
- Which horizons are Positive, Negative, or Mixed?
- Are the four horizons aligned or fragmented?
- How do current price, positioning centers, volatility centers, and open-interest concentrations relate to the expected ranges?
- Does the validation evidence show stable calibration, stable errors, and continued correspondence with realized volatility?
Those five answers provide the intended summary of the report.
The charts are not designed to create certainty. They are designed to make uncertainty, market structure, and model behavior visible.