Where the market stood on 29 October 2026
A snapshot of the digital-asset market as of 29 October 2026, covering capitalisation, dominance, fee streams, and seven-day return dispersion.
Market Capitalisation and Dominance
As of 29 October 2026 (point-in-time), total market capitalisation stood at $2.696 trillion. Bitcoin accounted for 59.45% of that figure, and Ether for a further 10.46%, meaning roughly seven-in-ten dollars of recorded market value were concentrated in two assets. Stablecoins outstanding reached $308.9 billion, representing approximately 11.5% of total market capitalisation, while value locked across chains was reported at $88.2 billion—a figure that overlaps with but is not equivalent to market capitalisation, as it counts collateral and liquidity deployed rather than aggregate token value.
Breadth of the Week's Movement
The 24-hour market-cap change recorded on 29 October 2026 was –3.92%. Looking at the trailing 7-day return distribution among assets with market capitalisations above $1 billion, the spread was notably wide. The five strongest performers in that cohort ranged from MemeCore (+29.11%) down to BNB (+1.39%), while the five weakest ran from Rain (–24.91%) to Sky (–13.61%). The simultaneous presence of assets up nearly 30% and assets down nearly 25% within the same size cohort indicates that the week's movement was narrow rather than uniform: aggregate figures masked substantial divergence at the individual-asset level.
Fee Streams Versus Capitalisation Rank
The largest annualised fee streams (derived from trailing 30-day activity and annualised as of 29 October 2026) were led by Uniswap at $1.043 billion, followed by Lido DAO ($608.5 million), Canton ($594.4 million), Aave ($455.6 million), and Meteora ($397.9 million). TRON, Solana, and Morpho rounded out the list between roughly $284 million and $293 million annualised. Several protocols appearing in this fee ranking—Meteora, Canton, Morpho—do not appear among the largest assets by market capitalisation. Conversely, assets that dominate capitalisation figures, such as Bitcoin, do not appear here at all. This gap illustrates that fee generation and market capitalisation measure different things: one reflects economic throughput in a given window, the other reflects aggregate token pricing at a point in time. Neither figure alone establishes a relationship between the two dimensions.
What These Figures Cannot Capture
Market-wide aggregates of this kind cannot capture the distribution of holders, the concentration of supply among wallets, the liquidity depth behind any quoted price, the degree to which stablecoin figures reflect organic demand versus programmatic minting, or the extent to which value-locked numbers involve double-counting across layered protocols. A single observation date also provides no information about trend direction or volatility over longer horizons; the 24-hour and 7-day windows reported here are too short to characterise structural shifts.
A reader seeking to extend this analysis would need to examine individual asset liquidity profiles, on-chain supply concentration data, and longer-horizon fee and capitalisation time series.