The phi score of the crypto market: 0.340 in the fragile zone
The essentials in 30 seconds
- The phi score of the crypto market is 0.340, in the fragile zone (EQOS Asia crypto study, 2026).
- φ(S) is a global coherence score between 0 and 1, built from 9 dimensions.
- 1 of 9 dimensions is critical, and the weakest axes hold the total down.
- Four recommendations of the study lift clarity, integrity, and stability.
- X(S) = 0.800 and Λ = 0.4524 complete the reading for decision makers in Singapore.
The phi score of the crypto market is 0.340, and that single figure carries a precise meaning. This guide explains what φ(S) measures, how the fragile zone reads, and why the weakest axes hold the total down, using the EQOS Asia crypto study (2026). It is one part of the broader crypto crash score, written as of October 2026 for decision makers in Singapore, ASEAN, and Hong Kong.
On this page
Compare the EQOS Asia offers and request a 30-minute pre-diagnostic.
What does the phi score of the crypto market measure?
The phi score, written φ(S), is the global coherence score of a system, aggregated by the EQOS Asia engine on a scale from 0 to 1. For the crypto market it returns 0.340. A higher value means that the parts of the market pull in the same direction, and a lower value means that some parts pull against the rest.
The score reads the market as a system of 9 dimensions, from coherence and integrity to stability and energy, and it sets the daily price aside. That choice makes the figure slow and steady, which suits a decision that lasts months. As of October 2026 the same number answers a family office, a treasurer, and a risk committee in the same way.
What does the fragile zone mean for a crypto holder?
The fragile zone describes a system that works while a shock can tip it. At 0.340 the crypto market stands there. The EQOS Asia method page places the line between the STOP zone and the OK zone at 0.618, so the market sits well below that line, and the distance gives the reader a sense of how much structure remains to build.
A fragile reading calls for protection rather than alarm. It asks you to list the shocks that could push a dimension lower, such as a regulatory ruling, an exchange failure, or a fall in Bitcoin, and to prepare an answer to each. The score shows which shocks matter most, and the exposure checks of the study turn that list into numbers.
Why do the weakest dimensions hold the crypto score at 0.340?
The engine multiplies the 9 dimensions, each raised to its weighting, so the result behaves differently from an average (EQOS Asia crypto study, 2026). The study states that the lowest score weighs as much as the highest and that one collapsed axis crushes the whole system. The exact coefficients remain proprietary, while the logic is public.
In the crypto reading, care at 0.280 and stability at 0.300 sit far below energy at 0.650 and resonance at 0.620. The strong axes show a market full of activity and adoption, and the weak axes show where a shock lands. This spread explains why a market with real innovation still scores 0.340.
What does 1 critical dimension out of 9 mean in the crypto reading?
The study counts 1 dimension out of 9 as critical, a flag that tells a reader where repair starts (EQOS Asia crypto study, 2026). The ethical safeguard reads 0.034, so the passage is authorized and the flag guides attention while the analysis continues. One flagged axis is enough to pull a total down, because of the geometric product.
Treat the count as a map. A flagged axis points to the first recommendation to apply, while the other 8 dimensions show what the market can build on. The parent page lists the guide for each axis, so you can move from the headline score to the detail that your decision needs.
How do X(S), Λ and the safeguard complete the crypto phi score?
X(S) = 0.800 compares the information available with the complexity of the system, and a value above 1 would make the system readable (EQOS Asia crypto study, 2026). At 0.800 the crypto market comes close, which fits a public ledger whose project marketing sometimes adds noise. Λ = 0.4524 consolidates the viability of the whole, and the method page marks Λ at 1.0 or above as viable.
The study also reports a projected utility of 0.4341 and an ethical safeguard of 0.034, which authorizes the passage. The safeguard holds absolute priority: when it turns negative, the engine issues no recommendation. Here it stays positive, so the 4 recommendations of the study stand and the reading can guide action.
Which four steps lift the crypto phi score from 0.340?
The study attaches an impact to each of its 4 recommendations. Measuring direct and indirect exposure, including the effect of a 50% Bitcoin fall, moves clarity from 0.380 to 0.50. Requiring audited proof of reserves moves integrity from 0.350 to 0.50 (EQOS Asia crypto study, 2026). These two steps give you better information and better trust in the venues you use.
Comparing real volatility with your tolerance moves stability from 0.300 to 0.45, and a treasury that cannot absorb a 30% drawdown learns it early. Waiting for US regulatory clarity moves clarity from 0.50 to 0.55. Read these impacts as targets for your own exposure, while the market figure of 0.340 describes the whole market.
How can you recompute the crypto phi score for your own case?
Open the Λ simulator, rate the dimensions that matter to your exposure, and read a first φ(S) in about 10 minutes, free and anonymous (EQOS Asia simulator page, as of October 2026). The result gives you a number for your treasury or your portfolio, which you can compare with the market figure of 0.340.
For a sourced reading, a 30-minute pre-diagnostic by video with EQOS Asia applies the equation to your case. Bring your exposure map and your drawdown tolerance, and the session returns a score and a ranked list of actions. This page is general information, not investment advice.
See also in this guide
Frequently asked questions
What is the phi score of the crypto market?
The phi score, φ(S), is the global coherence score that the EQOS Asia engine returns for the crypto market. As of October 2026 it stands at 0.340, in the fragile zone. It aggregates 9 dimensions with a weighted geometric product, so weak dimensions weigh on the total.
What does the fragile zone mean?
The fragile zone describes a system that works while a shock can tip it. For the crypto market it calls for protection: list the shocks that matter, size exposure to what you can carry, and prepare a response to each. The zone describes structure and gives no date for any fall.
How do I read X(S) next to the phi score?
X(S) = 0.800 compares available information with the complexity of the system. A value above 1 would make the system readable, so the crypto market comes close to that line. Read it beside the phi score of 0.340: one figure describes coherence, the other describes how much of the system you can see.
Which actions lift the crypto phi score?
The study lists 4 recommendations: measure direct and indirect exposure, require audited proof of reserves, compare real volatility with your tolerance, and wait for US regulatory clarity. They lift clarity, integrity, and stability in your own reading. This is general information, not investment advice.
Test your knowledge
1. What is the phi score of the crypto market in the EQOS Asia study?
- 0.340
- 0.618
- 0.800
Show the answer
0.340.
2. Which zone does 0.340 belong to?
- OK zone
- Fragile zone
- Safe zone
Show the answer
Fragile zone.
3. How does the engine combine the 9 dimensions?
- With a simple average
- By picking the highest one
- With a weighted geometric product
Show the answer
With a weighted geometric product.
4. What value does X(S) take in the crypto reading?
- 0.800
- 0.034
- 0.4524
Show the answer
0.800.
5. Which step moves integrity from 0.350 to 0.50?
- Waiting for US clarity
- Requiring audited proof of reserves
- Mapping exposure
Show the answer
Requiring audited proof of reserves.
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 crypto study (eqos-asia.com/case-studies/crypto-2026.html), EQOS Asia method page (eqos-asia.com/method.html), simulator page (eqos-asia.com/simulator.html) and contact page (eqos-asia.com/contact.html), consulted on 23 October 2026. Page updated on 23 October 2026.