Interpretation
What problem this visualization solves
Price performance alone does not tell you whether an asset is gaining or losing relevance within the market.
Market cap dominance answers a different question:
“How much of a given market does this asset command over time?”

This visualization helps separate:
- absolute growth from relative strength
- market-wide expansion from rotation
- temporary rallies from structural leadership shifts
What dominance actually measures
Market cap dominance is an asset’s market share relative to a chosen reference market.
At any point in time:
- dominance increases if the asset grows faster than its reference
- dominance decreases if it underperforms its reference
- flat dominance means it is moving broadly in line with the reference
Dominance focuses on share, not price.
Reference frames matter (a lot)
Dominance is always calculated relative to something.
Changing the reference frame changes the question you are asking.
Total market cap
- answers: “Is this asset gaining or losing share of the entire crypto market?”
- best for macro leadership and cycle analysis

Category-based dominance
- answers: “Is this asset leading within its sector?”
- useful for rotation analysis (e.g. L1s, memecoins, DeFi)
Custom baskets (watchlist / portfolio)
- answers: “Is this asset outperforming my chosen universe?”
- useful for relative allocation and internal benchmarking

The same asset can lose dominance in the total market while gaining dominance within a category.
Interpreting dominance trends

Rising dominance
- relative outperformance
- capital concentrating into the asset
- often signals leadership or defensive preference

Falling dominance
- relative underperformance
- capital rotating elsewhere
- may occur even if price is rising

Sideways dominance
- asset is broadly tracking its reference market
Dominance trends often move slower than price, making them useful for regime-level analysis.
Comparing two assets
When plotting two assets together:
- you are comparing relative share trajectories
- crossovers indicate shifts in leadership
- divergence highlights rotation dynamics
This is especially useful within:
- categories
- portfolios
- thematic baskets
Common misinterpretations
Dominance does not equal price performance
An asset can rise in price while losing dominance.
Falling dominance does not mean failure
It may reflect faster growth elsewhere.
Dominance is not a short-term trading signal
It describes structural positioning, not timing.
When to use and when not to use
Most useful for
- tracking leadership across cycles
- studying rotation between sectors
- evaluating relative strength within a basket
- understanding capital concentration
Not suitable for
- short-term price prediction
- isolated event analysis
- assets with extremely small or unstable market caps
Key takeaways
- Dominance measures market share, not price
- The reference frame defines the insight
- Relative strength often changes before narratives do
- Custom baskets unlock deeper comparative analysis
How to use
Selecting assets and reference frame
You can plot dominance for up to three assets at a time.
Choose a reference frame via the Asset Picker:
- Total market cap (default)
- Category (e.g. L1s, Memecoins)
- Watchlist
- Portfolio
Dominance is recalculated dynamically based on the selected reference.
Category, watchlist, and portfolio modes

Category mode
- dominance is calculated against the total market cap of that category
- useful for identifying internal leaders (e.g. DOGE within Memecoins)
Watchlist / Portfolio mode
- dominance is calculated against the combined market cap of your selected assets
- useful for benchmarking assets within a custom universe
These modes let you define your own comparison baseline.
Reading the chart

- values represent percentage share of the reference market
- rising lines indicate growing share
- falling lines indicate declining share
Comparing two assets highlights relative leadership within the same reference frame.
Insights panel

The Insights panel summarizes:
- current dominance
- minimum and maximum share (with dates)
- net change over the selected period
This helps quantify trends without manual inspection.
Example workflow
- Start with total market dominance for a major asset
- Switch to category mode to see sector leadership
- Compare up to three assets within the same reference
- Change the time range to observe regime shifts
- Use insights to contextualize price performance
