Where the market stood on 18 October 2026
A snapshot of digital-asset market structure on 18 October 2026, drawn entirely from reported figures.
Market Concentration
As of 18 October 2026, total market capitalisation stood at $2.75 trillion (point-in-time). Bitcoin's share of that figure was 59.52% and Ether's was 10.67%, meaning the two largest assets together accounted for roughly 70 cents of every dollar in the measured universe. The remaining approximately 30% was distributed across all other tracked assets. Stablecoins outstanding reached $313.0 billion (point-in-time), representing just over 11% of total market capitalisation, a structural floor that does not move with risk sentiment in the way that non-pegged assets do. Value locked across chains was recorded at $88.9 billion (point-in-time), a figure covering on-chain collateral and liquidity pools rather than the broader capitalisation base.
Breadth of the Week's Movement
The 24-hour change in total market capitalisation was -3.00% (point-in-time). Among assets with market caps above $1 billion, the trailing 7-day return distribution was notably wide. Bitway led with a 7-day return of +73.56%, while Monero and LEO Token posted more modest gains of +9.90% and +1.49% respectively. On the other side, MemeCore fell -22.60%, Pump.fun fell -21.87%, and Quant fell -18.22% over the same trailing 7-day period. The presence of both large gains and large losses within the same size cohort indicates that the week's movement was not uniform across the large-cap segment; aggregate direction and individual asset direction diverged materially for a number of names.
Fee Streams Versus Capitalisation Rank
Annualised fee streams, calculated from the trailing 30 days to 18 October 2026, show Uniswap at the top with $1.40 billion annualised, followed by Lido DAO at $632.2 million, Meteora at $600.9 million, and Canton at $594.4 million. Aave and Raydium recorded $467.9 million and $378.4 million respectively, with Solana at $341.3 million. Several of these protocols do not appear in the capitalisation-dominance figures, which are dominated by layer-1 assets. That gap does not indicate that fee-generating protocols are more or less significant than their capitalisation rank implies; fee data and market-cap data measure different things—revenue-like activity versus aggregate token pricing—and neither figure explains the other without additional context on token supply, distribution, and who captures the fees.
What These Figures Cannot Capture
Market-wide aggregates of this kind leave important structure unobserved. They do not record trading volume, liquidity depth, or the concentration of holders within any asset. They do not distinguish between fee revenue retained by a protocol, distributed to token holders, or paid to third parties. The dominance percentages treat all market capitalisation as equivalent regardless of float or liquidity. And point-in-time snapshots cannot describe intra-period volatility, so a figure that appears stable may have moved considerably within the measurement window.
A reader seeking to go beyond these aggregates would need to examine individual asset-level data, including circulating supply, on-chain activity, and protocol-specific fee distribution mechanics.