What is sector rotation?
Attention concentrating in one category, then another. Real enough to organise thinking around, harder to measure than it looks.
The idea
Crypto markets move in themes. For a period, capital and attention concentrate in one category — AI tokens, real-world assets, a particular layer-2 ecosystem — while others go quiet. Then it shifts.
The pattern is recognisable enough that most participants organise their thinking around it. Measuring it is where the difficulty starts, and the difficulty begins before any data is collected.
Problem one: what is a sector?
Equity sector schemes work because there is an underlying fact to appeal to — a company has a primary line of business, and a standards body maintains the taxonomy. Crypto has neither.
- A layer-1 blockchain hosting a large DeFi ecosystem belongs to at least two categories.
- A project that pivots toward whatever is attracting capital changes category by announcement.
- "AI token" covers genuine machine-learning infrastructure and projects that added the word to a whitepaper. Both classify identically.
- New categories are invented as they become popular, so the taxonomy grows in response to the same attention it is meant to measure.
Sector membership is an assignment, not an observation. Two providers can show the same category rallying and flat over the same window, both computed correctly, differing only in constituents. When you see a sector chart, the constituent list is part of the result.
Problem two: the weighting changes the answer
| Weighting | Describes | Distortion |
|---|---|---|
| Market cap | Where the capital is | One dominant asset becomes the sector |
| Equal weight | Breadth of participation | Micro caps count as much as majors |
| Turnover | Where trading is concentrated | Follows short-term activity |
| Social volume | Where attention is | Most exposed to manufactured activity |
A cap-weighted sector dominated by one large asset mostly reports that asset's behaviour. An equal-weighted version can move the opposite way on the same day. Neither is wrong — they answer different questions, and the label rarely says which.
Problem three: "rotation" implies a flow that is not observed
The language suggests capital moving from one place to another, like water between containers. What is actually observed is that relative measures changed: one group's activity rose while another's fell.
Attention is not conserved — total market attention expands and contracts, so both groups can rise with one rising faster. And measured attention shifting is not the same as capital shifting; those are different observables that do not always move together.
The defensible statement is that the distribution of measured activity across categories changed. Whether that reflects positioning or just conversation requires looking at turnover and price alongside social measures.
A shape that recurs
Described as a recurring pattern, not a rule with predictive content:
- Origin. A small group discusses a theme. Almost all such themes go nowhere.
- Expansion. Attention broadens, new projects adopt the label, turnover rises across the category.
- Saturation. Projects with tenuous connections attach themselves to the theme, diluting it.
- Decay. Attention moves on. The label persists in classification schemes long after the interest does.
Stages two and three look identical while they are happening, which is why this is a description rather than a timing tool. One measurable marker of stage three: the number of assets classified into a category grows faster than the category's aggregate fundamentals. That is a dilution indicator, and it describes what has already occurred.
How Moonboard handles it
The platform groups assets into sectors for its sector map and surfaces emerging themes in trending topics, which works from news and social sources rather than a fixed taxonomy.
Two deliberate constraints follow from everything above: sector groupings are presented as a lens rather than authoritative classification, and no thin page is generated per narrative for search purposes. Producing hundreds of such pages would be easy and would contain nothing.
Related
- Narratives researchThe full treatment, including circularity
- Social dominanceThe share-of-attention measure underneath
- Volume-to-market-capTurnover, the other rotation input
- Ecosystem researchLonger-horizon project signals