The most core data in Hayden Adams’ long article is not Uniswap’s cumulative $4.6 quadrillion in trading volume, but the comparison between the cost structures of traditional market makers and the way AMMs organize liquidity. Citadel Securities used $21 billion in capital to earn $12.2 billion in net trading revenue—this figure is treated as proof of efficiency, but it’s actually the target that AMMs have disrupted. Look at the mechanism: traditional market makers must bear hedging costs, execution and settlement infrastructure that’s vertically integrated. AMMs turn execution into code and share settlement, and the LP’s only advantage is the cost of holding inventory. Correlation pairing (e.g., NVDA/SPY rather than NVDA/USD) makes LPs take on less inventory risk, shrinking the gap between passive strategies to the point where it can be covered by a funding-cost advantage. Signals on the Robinhood Chain in the first 12 days
Data: 10 tokenized stock pairs trading against SPY, $33 million in volume, 11,000 traders, and some trades bypass the dollar by trading stock-to-stock directly. This isn’t an experiment—it’s the direction of liquidity migration.
For the crypto market, the more critical point is the positioning of ETH/USDC as a bridge pair—every correlated cluster routes through it, meaning ETH’s role in the tokenized-asset world is analogous to SPY’s role in the traditional world.
Passive LPs perform correlation pairing, while active LPs compete for bridge pairs—this division of labor has already been proven within DeFi, and now it needs to be extended to RWA. The most undervalued piece is stablecoins: SPY/USD as the dollar bridge; stablecoins will evolve from trading instruments into the final settlement layer for all RWA markets.
Next, we should look at whether Uniswap v4 hooks’ DualPool will bring idle liquidity into the lending market—this would further compress the spreads of traditional market makers.