Caviar Dashboard BETA

How to understand the Caviar Dashboard.

The Caviar Dashboard is a multi-horizon market intelligence model designed to organize macro conditions, market behavior, regime persistence, transition risk and portfolio deployment into one coherent framework.

This guide explains what each section is measuring, how the individual systems interact, and how to interpret the Dashboard as a whole.
Understanding the Model

One market. Multiple horizons.

Caviar is a dynamic model that blends multiple independent systems and time horizons together to create a visualization of current market conditions.

Instead of relying on a single indicator, the framework combines macro variables, price trend, relative strength, market breadth, credit, volatility, growth leadership, liquidity, trajectory, regime memory and forward-transition logic.

These components are intentionally allowed to disagree. A structural regime can remain intact while tactical conditions deteriorate. Relative-strength leadership can improve while breadth weakens. A forward regime can begin emerging before the current regime has formally changed.

The objective is not to force every market signal into one label. The objective is to understand what is happening now, what is changing underneath the surface, and how much portfolio risk the total evidence currently justifies.

What the model does

Organizes market evidence into a decision framework.

  • Identifies structural and tactical market regimes.
  • Measures whether market internals confirm or conflict with the regime thesis.
  • Tracks which areas of the market are gaining or losing relative leadership.
  • Detects potential forward regime transitions before they are fully established.
  • Converts the combined evidence into a risk and deployment range.
  • Uses saved model history to reduce excessive day-to-day regime whipsaw.
What the model does not do

It is not a mechanical prediction or trading system.

  • It does not guarantee future market direction or returns.
  • It does not attempt to call exact tops or bottoms.
  • It does not require portfolios to mechanically match every deployment percentage.
  • A forward probability is not a guarantee that the regime will occur.
  • A structural regime does not mean every asset associated with that regime must be owned.
  • Model disagreement does not automatically mean one component is wrong.
CORE PRINCIPLE

The Dashboard should be read as a hierarchy of evidence, not as a collection of isolated signals. Structural conditions describe the established environment. Tactical conditions describe the current tape. Forward conditions describe where evidence may be moving. Deployment determines how much risk that total evidence has earned.

01 Primary Dashboard Read

Caviar Regime Read

This is the primary output of the Dashboard and should normally be the first section you read. It separates the market into four questions: what has been established, what is happening now, what may be developing next, and how much risk the evidence currently supports.

Structural · Weeks / Months

What regime has established persistence?

Structural represents the model's longer-horizon regime state. It incorporates saved model history and regime persistence rather than reacting only to the latest session. Think of it as the incumbent market environment.

Tactical · Days / Weeks

What is the market doing right now?

Tactical focuses on the current tape. It incorporates short-term trend, breadth, volatility, credit behavior and leadership changes to determine whether conditions are improving, deteriorating or unresolved.

Forward · Transition Risk

Where is the evidence beginning to move?

Forward identifies potential regime transitions before they become fully established. It combines current evidence, model memory, transition momentum and the separate Growth / Inflation model.

Deployment · Portfolio Posture

How much risk has the evidence earned?

Deployment converts the current route and risk conditions into a usable exposure range and saved target. It answers how aggressive or defensive the portfolio environment currently warrants being.

HOW TO INTERPRET MEMORY

The model's memory function should be treated as a risk-sizing guide, not a hard trading command. If the saved target rises, the model is signaling that conditions have earned additional risk. If it falls, the model is signaling that risk should be reduced. This does not mean a portfolio must be mechanically rebalanced to the exact percentage every time the model changes. Memory exists to create continuity and reduce overreaction to one unusually strong or weak session.

IMPORTANT

These four outputs can legitimately disagree. Structural may still identify Real-Asset leadership, Tactical may read Chop / No Edge, Forward may detect rising Deflationary Risk-Off probability, and Deployment may still permit moderate exposure. Those are not four contradictory answers. They are four different horizons describing the same market.

02 Risk Framework

Risk / Deployment

The Risk / Deployment section translates the different regime systems into portfolio exposure. The individual rows are not all independent portfolio recommendations. They show how different components of the framework are viewing risk before those signals are reconciled into the final deployment range.

MANUAL EXPOSURE
The exposure range associated with the manually selected current regime thesis. This represents the discretionary Caviar framework input before the systematic confirmation layers are applied.
MACRO EXPOSURE
The exposure range associated with the regime identified by the Caviar macro-variable framework. This is the systematic macro interpretation generated from the model's current market inputs.
ACTIVE ROUTE EXPOSURE
The exposure range associated with the portfolio route currently selected by the model's routing logic. This is the working regime route before the independent risk overlay limits how much of that exposure can actually be used.
RRG EXPOSURE
The exposure range associated with the market environment implied by the Relative Rotation Graph leadership model. This shows how relative-strength behavior is expressing the market, even when that expression differs from the macro or structural read.
MACRO RISK OVERLAY
An independent risk-permission layer that asks whether the underlying market is healthy enough to use the Active Route's theoretical exposure. The overlay evaluates conditions such as credit, volatility, price trend, breadth, leadership, dollar/liquidity pressure and trajectory.
RAW FINAL CAP
The final daily risk permission after the Active Route is constrained by the Macro Risk Overlay and trajectory conditions. It should be viewed as the maximum exposure the current evidence has earned before the model's saved memory is applied.
MEMORY-ADJUSTED TARGET
The Raw Final Cap reconciled with the model's previous saved runs. This creates a smoother working target and reduces unnecessary exposure whipsaw when market conditions change abruptly from one session to the next.
Credit
Relative credit behavior plus the model's absolute credit layer help determine whether financing conditions are supporting or restricting risk.
Volatility
VIX level and trend help determine whether the market can support normal exposure or whether volatility should cap risk.
Breadth
Broad participation matters. Narrow index strength with weak participation receives less risk permission than broad confirmation.
Price Trend
SPY, QQQ, MTUM and related trend measures indicate whether the market is above or below the model's tactical trend structure.
Growth Leadership
Relative ratios such as QQQ:SPY, SMH:SPY and XLK:SPY help identify whether leadership is strengthening or failing.
Dollar / Liquidity
Dollar strength can create or remove a liquidity headwind and is used as part of the broader macro risk environment.
Concentration
Strong cap-weight indices with weak equal-weight participation can trigger a concentration warning rather than a full risk-on signal.
Trajectory
The 13-day trajectory layer evaluates whether the market's direction of travel is improving, deteriorating or unresolved.
WHY THE RISK OVERLAY MATTERS

The model can identify an attractive portfolio route while still restricting exposure. For example, growth leadership may be improving, but weak breadth, rising volatility or deteriorating credit can prevent the model from treating that leadership as a full risk-on environment. The route tells us what is working. The risk overlay determines how aggressively it should be expressed.

03 Relative Strength

Current Leadership Matrix

The Current Leadership Matrix uses Relative Rotation Graph behavior to identify which assets, sectors and market sleeves are gaining or losing strength relative to the benchmark. The most important information is not only where an asset sits, but the direction in which its relative strength is moving.

LEADING

Relative strength and relative momentum are both strong. These are established leaders, although a leader rotating southeast can still be losing momentum.

IMPROVING

Relative momentum is strengthening and the asset is attempting to rotate toward leadership. This area often identifies developing opportunities before they become established leaders.

WEAKENING

Relative strength remains elevated, but momentum is deteriorating. These assets may still outperform, but leadership is losing force.

LAGGING

Relative strength and/or momentum remain weak. A northwest rotation can signal early repair, while continued southwest behavior reflects persistent weakness.

Confirmed Leadership
Both the primary cap-weighted instrument and its supporting breadth or equal-weight expression are confirming leadership. This is stronger evidence than index leadership alone.
Narrow Cap-Weight Leadership
The headline or cap-weighted index is strong while equal-weight participation is weak. This identifies concentration rather than broad market confirmation.
Early Breadth Rotation
Broader or equal-weight participation begins strengthening before the primary cap-weighted expression fully confirms. This can identify an early broadening attempt.
Mixed / Transition
The paired signals do not provide a clean confirmation. The market may be rotating between regimes or showing conflicting leadership.
Strong / Positive Single RRG
The individual RRG series is showing favorable relative behavior, but no paired confirmation layer is available or strong enough to classify it as double-confirmed leadership.
Weak / Mixed Single RRG
The individual relative-strength signal is weak or unresolved and does not receive additional confirmation from a paired breadth or equal-weight signal.
04 Market Expression

Regime Expression Map

The Regime Expression Map translates the model's abstract regime interpretation into the actual market sleeves currently expressing that environment. It answers a simple question: where is the regime showing up in price?

Example Sleeve

Tactical Growth / AI

Shows whether technology, semiconductors, momentum and growth leadership are strengthening or deteriorating.

Example Sleeve

Real Assets / Energy

Shows whether energy, commodities and other inflation-sensitive assets are confirming a real-asset or inflationary regime.

Example Sleeve

Duration / Defensives

Shows whether bonds, utilities or other defensive assets are beginning to attract relative strength.

Example Sleeve

Breadth / Small Caps

Helps determine whether market strength is broadening beyond the largest index constituents.

Example Sleeve

Financials / Cyclicals

Helps confirm whether the market is expressing a broader cyclical expansion rather than a narrow leadership regime.

Purpose

Translation Layer

The Expression Map is primarily contextual. It helps show how the regime is being expressed rather than acting as an independent forecast.

HOW TO USE IT

A regime thesis is more convincing when the expected market sleeves are confirming it. If the model identifies a regime but the assets normally associated with that regime are not behaving accordingly, the Expression Map helps expose that disagreement.

05 Conditional Roadmap

Transition / Scenario Matrix

The Scenario Matrix frames the current environment into three conditional paths. These are not forecasts. They define the evidence required for the market interpretation to improve, remain intact, or deteriorate.

BULL UPGRADE

What would justify a more constructive regime?

Lists the improvements the model would need to see before increasing confidence or permitting broader risk — for example improving credit, falling volatility, stronger breadth or a stronger confirmation stack.

BASE CASE

What evidence currently has the highest support?

Describes the path most consistent with the current model evidence and the conditions that would keep that interpretation intact.

BEAR FAILURE

What would invalidate the current constructive case?

Defines the deterioration required to move toward a more defensive interpretation, including possible failures in trend, credit, leadership or breadth.

SCENARIOS ARE CONDITIONAL

The Scenario Matrix should be read as an if / then roadmap. It helps identify what evidence must change before the model should change its posture. It does not independently override the Dashboard's current risk and deployment framework.

06 Model Audit

Regime State Matrix

The Regime State Matrix is the Dashboard's audit table. Section 01 gives the answer first. Section 06 exposes the major components underneath that answer and shows whether each layer is confirming, weakening or conflicting with the broader interpretation.

Layer What It Represents Why It Matters
Structural Memory Regime Established regime persistence across saved runs. Provides the long-horizon incumbent regime.
Growth / Inflation Impulse Forward macro backdrop from the separate Growth / Inflation model. Provides an independent macro transition prior.
Current Macro Read Current regime identified from the Caviar macro variables. Shows what the systematic macro layer currently sees.
RRG Market Expression Relative-strength regime detected by the leadership model. Shows how the market is expressing itself in price.
Tactical Trajectory Direction of travel across the recent model window. Shows whether conditions are improving or deteriorating.
Credit Condition Relative and absolute credit behavior. Helps validate whether risk appetite is financially supported.
Volatility Condition VIX behavior relative to trend. Acts as a major risk-permission or risk-cap signal.
Breadth Condition Participation beneath headline indices. Distinguishes broad strength from narrow concentration.
Growth Leadership Relative performance of growth, technology and semiconductors. Confirms or weakens tactical growth regimes.
Dollar / Liquidity Dollar trend and liquidity pressure. Identifies whether liquidity is helping or restricting risk.
Rate / Inflation Pressure Interest-rate and commodity pressure. Helps confirm inflation-sensitive and real-asset environments.
07 Trend Confirmation

Market Confirmation Heatmap

The Heatmap separates current state from direction of travel. Distance from the 13-day moving average shows where a variable sits now. The 1-day, 3-day and 5-day changes show whether that condition is strengthening or deteriorating.

Current State

Distance from 13MA

Positive distance generally means the variable is above its tactical trend. Negative distance means it is below trend.

Short Change

1-Day Delta

Shows the most recent change in distance from trend and captures immediate acceleration or deterioration.

Intermediate Change

3-Day Delta

Helps distinguish one-day noise from a developing short-term shift in the market's trajectory.

Broader Change

5-Day Delta

Provides a broader tactical window and shows whether the recent trend improvement or deterioration is becoming persistent.

STATE VS. TRAJECTORY

A variable can still be above its 13MA while deteriorating, or remain below its 13MA while rapidly repairing. The Heatmap is designed to make that distinction visible. The level tells you where the market is. The deltas tell you where it is moving.

08 Macro Prior

Growth / Inflation Regimes

This section is sourced from a separate Growth / Inflation model. It evaluates the direction and strength of macro growth and inflation conditions and converts them into four familiar macro regimes. The result acts as a forward macro prior inside the broader Caviar transition framework.

GOLDILOCKS

Growth supportive / inflation easing

A disinflationary expansion environment where growth remains constructive while inflation pressure moderates.

REFLATION

Growth accelerating / inflation firming

A cyclical expansion environment where stronger growth is accompanied by increasing inflation pressure.

STAGFLATION

Growth weakening / inflation elevated

A difficult regime where inflation remains persistent even as the growth backdrop deteriorates.

DEFLATION

Growth weakening / inflation easing

A defensive slowdown environment where growth pressure deteriorates while inflation falls.

IMPORTANT DISTINCTION

Growth / Inflation weights are not the same as the current Caviar regime and do not directly set portfolio exposure. They provide an independent macro prior that feeds the forward transition system. A 30% Goldilocks weight does not mean the model is saying there is a 30% chance the market rises.

INPUT DETAIL

The exact macro data inputs used by the separate Growth / Inflation model will be documented here as the guide is finalized.

09 Persistence + Trend

Memory Regime Trend

The Memory Regime section tracks the model's structural regime persistence and applies the Beluga trend framework to each regime's Memory Support series. This helps determine whether support for the incumbent regime is strengthening or weakening through time.

01

Saved Runs

Each saved model run becomes part of the model's historical state rather than being treated as an isolated daily observation.

02

Memory Support

The model measures how consistently each regime has been supported across recent saved observations.

03

Beluga Trend

Beluga evaluates the trend of the Memory Support series to identify whether support for that regime is strengthening or weakening.

04

Structural Handoff

A challenger must meet the model's persistence and handoff conditions before replacing the confirmed incumbent regime.

BELUGA BULLISH ≠ STOCK MARKET BULLISH

A BULLISH Beluga trend means support for that specific regime is strengthening. A BEARISH Beluga trend means support for that regime is weakening. The label describes the direction of the regime's Memory Support series, not whether the overall stock market itself is bullish or bearish.

WHY HANDOFFS ARE STICKY

The structural regime does not automatically change because another regime temporarily scores higher on a single run. The handoff process is deliberately sticky so that the structural layer reflects persistent regime change rather than daily noise.

10 Structural Ranking

Memory Support Leaderboard

The Memory Support Leaderboard ranks the model's full regime universe by the strength of its saved historical support. It is essentially the scoreboard for the structural memory layer.

Field Meaning
Memory Support Persistence score measuring how consistently the regime has been supported across saved model runs.
Handoff Trend Structural trend reference used when evaluating whether an incumbent is strengthening or vulnerable to replacement.
Beluga Pivot Adaptive trend reference applied to the regime's Memory Support series.
Momentum Direction and magnitude of recent movement in the regime's support trend.
Beluga Trend Whether support for that regime is currently strengthening or weakening relative to its adaptive trend.
Confirmed Indicates whether that regime currently holds confirmed structural-incumbent status.
MEMORY SUPPORT IS NOT A PROBABILITY

A Memory Support score of 80 does not mean there is an 80% probability that the regime will occur. It is a persistence measure derived from saved model history. Forward Probability is a separate calculation and should not be confused with Memory Support.

11 Transition Engine

Forward Regime Matrix

The Forward Regime Matrix ranks potential future regimes using a separate transition framework. It is designed to detect where the evidence is moving before a new regime has necessarily become the confirmed structural state.

42%
Current Evidence

How strongly today's observable market conditions support each potential regime.

30%
Memory Prior

How much structural support each regime has accumulated across saved model history.

18%
Transition Momentum

Whether evidence for the regime is accelerating, deteriorating or remaining stable.

10%
Macro Impulse

The independent Growth / Inflation prior imported into the forward transition framework.

01
Watch
02
Emerging
03
Confirming
04
Confirmed
05
Mature / Persistent
FORWARD PROBABILITY

Forward Probability is a relative heuristic ranking of transition evidence. A regime can have the highest forward probability while still being classified only as Emerging because the model has not yet seen enough confirmation or persistence for a full regime transition.

12 Cross-System Confirmation

Regime Confirmation Stack

The Confirmation Stack combines four separate regime votes into one agreement score. The purpose is to distinguish a regime that is supported by several independent systems from one being driven by only a single layer.

MANUAL THESIS

Caviar Framework View

The discretionary current-regime thesis selected from the broader Caviar framework.

MACRO VARIABLES

Systematic Macro Read

The regime identified from the model's current macro and cross-asset variables.

RRG

Market Expression

The regime currently being expressed through relative-strength and leadership behavior.

MACRO TRAJECTORY

Direction of Travel

The regime implied by the model's recent multi-day improvement or deterioration pattern.

1 / 4
Very weak agreement or broad conflict across the model.
2 / 4
Lean / Split. Some evidence agrees, but the model remains materially divided.
3 / 4
Strong confirmation. Most independent systems are identifying the same regime family.
4 / 4
Highest agreement. All four major regime systems are aligned.
HOW TO READ 2 / 4

A 2/4 stack does not mean two systems are correct and two are wrong. It means the market itself is producing conflicting information across the model's independent layers. That uncertainty should generally be reflected in portfolio sizing and conviction.

13 Model History

Regime History Strip

The History Strip shows how the model has evolved across previous saved runs. It provides context for whether the current read is part of a persistent trend or one more change inside an unstable market environment.

SAVED RUN
Route: active model route
Trajectory: improving / deteriorating / mixed
Risk: model risk score
Target: saved deployment target
SAVED RUN
Shows whether the active route has remained stable or recently changed.
SAVED RUN
Shows how quickly risk permission has been expanding or contracting.
SAVED RUN
Tracks which forward regime has been emerging through time.
SAVED RUN
Provides historical context rather than treating today's call in isolation.
INSTABILITY SCORE
Higher = More Rotation

Measures how frequently the model's major regime components have been changing across recent saved history. High instability means the market has been rotating, conflicting or failing to maintain a persistent state.

PERSISTENCE SCORE
Higher = More Stable

Represents the inverse concept: how consistently the model's regime state has persisted through time. Higher persistence generally indicates a more stable market environment.

Key Rules

The concepts worth remembering.

The Dashboard contains a large amount of information, but most of the framework becomes easier to understand once these distinctions are clear.

01
Structural is not Tactical. Structural measures the persistent regime. Tactical measures the current market condition.
02
Forward Probability is not the current regime. It measures emerging transition evidence.
03
Memory Support is not probability. It is a persistence measure built from saved model history.
04
Leadership does not automatically equal broad confirmation. Strong cap-weight performance can coexist with weak breadth and concentrated participation.
05
The route tells you what is working. The risk overlay tells you how aggressively it should be expressed.
06
Model disagreement can be useful information. Different systems operate on different horizons and often begin diverging during regime transitions.
07
Deployment is a risk guide, not a mechanical order. A saved target represents how much risk the model believes current conditions have earned.
08
Read Section 01 first. The remaining sections exist primarily to explain why the model reached that conclusion.
NOT FINANCIAL ADVICE

This material is provided for informational and educational purposes only and does not constitute financial, investment, legal or tax advice. Caviar Group model outputs, regime classifications, forward probabilities, risk scores, deployment ranges, scenarios and examples are analytical tools and should not be interpreted as recommendations to buy or sell any security. Past performance is not indicative of future results. Investing involves risk, including the possible loss of principal.