The EQOS score of a stock market: reading crash risk with phi(S)
The essentials in 30 seconds
- The EQOS score of a stock market is one number, φ(S), between 0 and 1 that measures structural fragility.
- Scores below 0.3 fall in the critical zone, and a negative ethical safeguard triggers an absolute block.
- The EQOS Asia 2008 back-test scored the global financial system at 0.234, with 6 of 9 dimensions critical.
- Four companion pages cover the 2008 score, the 3.3% rupture threshold, the 4.3 to 1 ratio, and the point of no return.
The EQOS score of a stock market turns crash risk into one number between 0 and 1, written φ(S). This page explains how the score is built, how its zones are read, and what it showed on the global financial system in 2006 and 2007, using the EQOS Asia 2008 back-test (EQOS Asia 2008 back-test, 2026). It belongs to the series on stock market crash signals, and every input is public data, as of October 2026.
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What is the EQOS score of a stock market?
The EQOS score of a stock market is a single number, φ(S), that summarises the structural health of a market system on a scale from 0 to 1. It is built from 9 dimensions, grouped in 3 domains: internal alignment, relation and living, and action and matter. A low value means fragile structure and a high value means sturdy structure. The score does not predict a price. It measures how much shock the system can absorb.
A price chart shows what has happened, while the score looks at what holds the system together: coherence between words and actions, integrity of safeguards, clarity of information, and stability of leverage. Because the inputs are public and the method is documented, two readers who disagree can trace the gap to one input. This page is general information, not investment advice.
How do 9 dimensions combine into one stock market crash number?
Each of the 9 dimensions receives a value between 0 and 1, justified by public data such as SEC filings, BIS statistics, FDIC reports, and the Case-Shiller index. The values combine in a geometric product, not a simple average. A geometric product lets the weakest dimension drag the whole result down, which suits crash risk, since one broken axis can bring a system down.
An average would let strong dimensions hide a weak one. In the 2008 back-test, energy scored 0.85 while care scored 0.05, and that gap would have vanished in a mean. The product keeps the imbalance visible. The stock market crash score therefore reports the weakest links next to the headline number.
Which zones does the stock market crash score use?
The study sets a critical zone below 0.3. A system there is told to realign before acting, and any investment decision waits. Above 0.3 the system sits in a work zone, where action can proceed with care. Both zones come from the study, and the score is read against them every time, so verdicts stay comparable between systems.
A further element is the ethical safeguard, a value that can turn negative. When the safeguard falls below 0, the score issues an absolute block, whatever the other numbers say. In the 2008 back-test the safeguard read −0.187. A block is a stronger message than a low score, because it says that acting would harm stakeholders.
What did the phi(S) score read for the 2008 financial system?
Applied to public 2006 and 2007 data, the global financial system scored φ(S) = 0.234, inside the critical zone, with 6 of 9 dimensions below 0.3 (EQOS Asia 2008 back-test, 2026). The detailed reading, with the value of each dimension, sits in the page on the phi(S) score of the 2008 financial system.
The result matters for method, because nothing in the input was secret. Every figure was published before the crisis, and the score only combined them. A reader who recomputes it should land on the same 0.234, which is the standard a measurement must meet before anyone relies on it.
How does a rupture threshold sharpen stock market crash risk?
A score tells how fragile a system is, and a rupture threshold tells how big a fall breaks it. Banks ran at 30:1 leverage in 2007, so a fall of 3.3% in asset values erased their capital, according to the study (EQOS Asia 2008 back-test, 2026). The actual decline in 2007 and 2008 was about 20%, roughly 6 times the threshold.
This turns a vague worry into a testable figure. Instead of asking whether prices are high, you ask how far the system can fall before a lender fails. The page on the 3.3% rupture threshold works through the arithmetic bank by bank.
Why does the resonance to transparency ratio matter for crash risk?
Resonance measures how much a market moves in unison, and transparency measures how much of its risk is visible. In 2006 and 2007 resonance read 0.65 while transparency read 0.15, a ratio of 4.3:1, above the study’s 3:1 line for a bubble anomaly. Everyone agreed that real estate never falls, and few could see the hidden exposure.
A crowd that agrees on a story it cannot inspect is a warning sign of its own. The page on resonance vs transparency explains the ratio and how to compute it, so you can check the mood of a crowd against the visibility of its risks.
How does the score give a date range for a stock market crash?
The score does not name a day. It adds a projection: when φ(S) is falling, the study estimates when the system crosses a point of no return. For the financial system it found about 1.1 years after mid-2006, which points to mid-2007 through early 2008. Bear Stearns was sold in March 2008 and Lehman failed in September 2008.
A date range differs from a prediction. It shows when the room to correct runs out, so decision makers know how long they have. The page on the point of no return before a crash shows how a decline rate sets that range. Nobody should read it as a forecast of a crash date.
How can you use the stock market crash score with other signals?
Use the score as the structural layer and keep the market gauges as the price layer. The yield curve, the VIX, the CAPE ratio, the Buffett indicator, and recession indicators each have a page in this series. When structural fragility and price signals point the same way, confidence in the reading rises.
To score your own case, the EQOS Asia Λ simulator estimates φ(S) in 10 minutes, free and anonymous. A full diagnostic is listed on the pricing page, and a 30-minute call starts from your own numbers.
See also in this guide
Frequently asked questions
What is the EQOS score of a stock market?
It is a number φ(S) between 0 and 1 that summarises the structural health of a market system across 9 dimensions. Low values signal fragility. The score measures how much shock a system can absorb and leaves the timing of any fall open, so it works as a structural layer beside price signals.
What does a score below 0.3 mean?
A score below 0.3 sits in the critical zone. The reading is to realign before acting, and investment decisions wait. The 2008 back-test placed the global financial system at 0.234 on 2006 and 2007 data, with 6 of 9 dimensions below that line.
Can the score name the date of a crash?
No. It gives a date range through the point of no return, which marks when the room to correct runs out. For the financial system the study found about 1.1 years after mid-2006. A range guides preparation, and nobody should treat it as a forecast.
Where does the data behind the score come from?
The 2008 back-test used public sources only: SEC filings, BIS statistics, FDIC reports, and the Case-Shiller index. Because the inputs are public, a reader can recompute the result and check it. EQOS Asia keeps the exact weighting of its engine proprietary.
Test your knowledge
1. What range does the EQOS score φ(S) use?
- 0 to 100
- 0 to 1
- 1 to 10
Show the answer
0 to 1.
2. Which zone starts below 0.3?
- Critical zone
- Work zone
- Growth zone
Show the answer
Critical zone.
3. What does a negative ethical safeguard trigger?
- A rebalancing
- A price target
- An absolute block
Show the answer
An absolute block.
4. Why does the score use a geometric product?
- The weakest dimension pulls the result down
- It is faster to compute
- It removes small values
Show the answer
The weakest dimension pulls the result down.
5. What ratio of resonance to transparency did the study record?
- 1.5:1
- 4.3:1
- 9:1
Show the answer
4.3:1.
About the author
Stéphane Jambu
President, EQOS Forecast Asia
Stéphane Jambu leads EQOS Forecast Asia and works as a consultant in e-commerce, search visibility, and AI. LinkedIn profile
Sources: EQOS Asia 2008 back-test (eqos-asia.com/case-studies/crise-2008.html), EQOS Asia simulator (eqos-asia.com/simulator.html) and pricing page (eqos-asia.com/pricing.html), consulted on 22 October 2026. Page updated on 22 October 2026.