Market Intelligence
Swoopr Cross-Asset Tension Index
Swoopr Cross-Asset Tension Index is a 0 to 100 disagreement score across equities, rates, credit, dollar, commodities, gold, crypto and volatility. It is designed to answer one narrow question: Are major asset classes telling a coherent story or contradicting one another? The output is educational market context, not a forecast, recommendation, or promise of future returns.
Direct Answer
Direct answer: The Swoopr Cross-Asset Tension Index is a 0 to 100 disagreement score across equities, fixed income, credit, the US dollar, commodities, gold, crypto, and volatility that measures how consistently or inconsistently different markets are signaling risk appetite. A high tension reading means the major asset classes are sending conflicting signals, which historically coincides with elevated uncertainty and elevated drawdown risk, not necessarily with an immediate market top or bottom. The index is designed as one diagnostic input, not a timing tool, and is most useful when read alongside regime and liquidity context rather than in isolation.
What It Measures
The central question this tool answers: Are major asset classes telling a coherent story or contradicting one another?
The evidence model draws from the following component families:
- Large-cap equities
- Technology and growth equities
- Small caps
- Treasury yields and curve
- Investment-grade and high-yield credit
- U.S. dollar
- Gold
- Oil
- Copper
- Bitcoin or broad crypto proxy
- Equity volatility
The objective is not to maximize the number of inputs but to capture independent information. Every component needs an independence rationale in the methodology registry explaining what unique information it adds and where it overlaps with other components.
How the Score Works
Each asset family is converted into a standardized regime signal (risk-on, neutral, or defensive) using trend and relative-change rules. Pairwise disagreement is measured only across conceptually related relationships, not every possible pair. Disagreement is then aggregated into a 0 to 100 score. Stale-data penalties and asset-market-hours awareness are applied.
For continuously varying series, the default transform is a rolling historical percentile:
component_score = percentile_rank(x within approved history) × 100where only fresh, valid components contribute. No hidden imputation makes missing data appear neutral.
Every reading publishes coverage separately from the score. If data are missing, the affected component is excluded, coverage falls, and the page tells the user. Missing data are never converted to a neutral score. The UI uses terms such as Full coverage, Partial coverage, Stale component and Methodology fallback.
Interpretation
| Score | Label | Interpretation |
|---|---|---|
| 0 to 24 | Coherent | Major asset classes are broadly aligned in their directional message. |
| 25 to 39 | Mostly aligned | Minor disagreements present but the dominant signal is consistent. |
| 40 to 59 | Mixed | Notable contradictions across asset classes; macro message is internally inconsistent. |
| 60 to 74 | High tension | Significant contradictions across multiple asset classes require added caution. |
| 75 to 100 | Extreme disagreement | Major asset classes are strongly contradicting one another. |
These bands are communication aids, not natural laws. A move from 59 to 60 is not a fundamental break in market reality. The page always shows the numeric value, trend, component contributions and the prior reading so context is visible rather than artificial cliffs.
How to Read It
Beginner: The reading tells you whether the macro message is coherent or contradictory. A high reading does not say which asset class is right; it says the overall message is inconsistent and deserves more caution.
Intermediate: Each component family, its current regime signal, trend and contribution are displayed. Divergences are highlighted, for example equities pricing growth while bonds price slowdown.
Advanced: Raw series identifiers, transformations, lookbacks, normalization method, active weights, timestamps, missing-data rules and methodology version are exposed with a downloadable methodology JSON.
Failure Modes and Guardrails
- Cross-asset relationships change by regime; historical disagreement norms may not apply.
- Crypto has a shorter history than traditional assets, limiting historical percentile windows.
- Different market closing times across asset classes can create false disagreement readings.
- A high tension score is diagnostic, not directional: it does not identify which asset class is correct.
If data freshness exceeds the SLA, the component shows Delayed or Unavailable, preserves the last timestamp, and stops generating "current" language. If a data source changes definition or licensing, the affected component is disabled until it is reviewed.
Frequently Asked Questions
Is Swoopr Cross-Asset Tension Index a buy or sell signal?
No. It describes the condition named by the tool and does not recommend a transaction. A high or low reading can persist, and markets can move against the historical pattern associated with any indicator.
How often should it update?
At the fastest cadence supported by the slowest important component, with each sub-component carrying its own timestamp. It does not imply minute-by-minute freshness when weekly or monthly data materially influence the score.
Why use a 0 to 100 scale?
A common scale makes heterogeneous inputs understandable and allows consistent components across Swoopr. The scale does not mean 80 is twice as good as 40, nor does it represent an 80% chance of a market outcome.
This score is educational market context only. It is not investment advice, a forecast, or a promise of future returns.
Methodology Version and Source Provenance
Current Version
| Field | Value |
|---|---|
| Version | v1.0 |
| Effective date | 2026-09-30 |
| Methodology policy | Swoopr Investment: Data & Methodology Policy |
Change Log
| Version | Date | Summary |
|---|---|---|
| v1.0 | 2026-09-30 | Initial published version. Scoring logic, normalization standard, component weights and missing-data rules documented for the first time. |
Source Series and Provenance
The table below lists the primary input series used in this score. Swoopr does not redistribute or relicense third-party data. Source data is retrieved for internal computation only; third-party terms apply to any direct use of those series.
| Component | Primary source | Series / method | Data type |
|---|---|---|---|
| Equity/bond correlation | Composite market data | Rolling correlation of equity index returns and Treasury yields | Cross-asset correlation |
| Credit conditions | FRED / ICE BofA | U.S. High Yield OAS (BAMLH0A0HYM2) | Credit spread |
| Volatility structure | Cboe | VIX and VIX term structure | Implied volatility |
| Currency stress | Federal Reserve / composite | USD index and emerging market currency baskets | FX conditions |
| Commodity signals | Composite exchange data | Oil, gold and commodity index prices | Real asset pricing |
Limitations
Cross-asset relationships change regime over time; correlations that hold in one environment may break in another. This index describes tension, not cause or direction.
All scores are for education and general information only. They do not constitute personalized investment advice. See the Financial Disclaimer and Data & Methodology Policy for full terms.