What is Bitcoin Dominance?
Bitcoin Dominance is the share of the total cryptocurrency market capitalisation held by Bitcoin. It is one of the most widely watched macro indicators in crypto, used to gauge whether capital is concentrating in BTC or rotating outward into altcoins, stablecoins, or sector-specific narratives.
How Dominance is Calculated
Dominance for any asset is simply its market cap divided by the total crypto market cap, expressed as a percentage.
- Step 1. Aggregate the market capitalisation of every tracked cryptocurrency.
- Step 2. Take the market cap of the asset in question — for example, BTC.
- Step 3. Divide the asset cap by the total cap and multiply by 100.
- Step 4. Repeat across BTC, ETH, USDT, BNB, SOL, and an aggregated 'Other' bucket to compare shares over time.
Reading the Chart
- Right axis (0–70%) · BTC: Bitcoin sits on its own scale because it routinely commands 40–65% of the market.
- Left axis (0–21%) · Everything else: ETH, USDT, BNB, SOL and the aggregated 'Other' bucket share this scale to make smaller shifts legible.
- Click a legend item: Toggle any series on or off to isolate a specific narrative or rotation.
Rotation Signals
A rising BTC dominance line typically signals a risk-off rotation, where capital flees altcoins for the relative safety of Bitcoin. Falling dominance often coincides with broadening risk appetite and altcoin outperformance — the same dynamic captured by the Altcoin Season Index. Rising USDT dominance, meanwhile, often indicates traders parking in stablecoins ahead of volatility.
Limitations
Dominance is a relative measure — BTC dominance can fall simply because new tokens enter the market, not because Bitcoin itself is weakening. It also ignores liquidity, fully diluted valuation distortions, and wrapped-asset double counting. Use it alongside absolute price action and on-chain flows for context.
Final Thoughts
Tracking dominance across the top assets gives investors a structural read on where capital is concentrated and how that concentration shifts through a cycle. Paired with sentiment and on-chain data, it remains one of the cleanest framings for understanding the shape of crypto markets at any point in time.
