Providing liquidity for tokenized stocks on Robinhood Chain does not mean any pool can deliver steady profits. On-chain data now offers a clearer answer: where capital goes, and when it goes in, changes the outcome materially.
Analysis from Blockworks Research says some pools generate enough fee income to offset the value arbitrageurs extract from stale quotes, while others look more like a transfer of returns to the other side of the trade. The opening window stands out in particular. For passive liquidity, holding on to profits there is difficult.
Whether fees can cover arbitrage costs
Robinhood Chain has been live long enough to address the question market makers care about most: can LP fees cover what arbitrageurs earn by trading against outdated prices?
The framework used in the report is LVR, or loss-versus-rebalancing. It does not measure a wrong directional call. It measures adverse selection: the cost a market maker pays when a stale quote is hit by a faster trader. Put simply, if an LP is still selling at the old price while someone else is already trading at the new one, that gap is LVR.
Results for tokenized stock pools split sharply by pair type. Pools tied to real stock flows often cover those costs by a multiple. For stock-ETH pools, fees come in at about 3.3x estimated arbitrage cost. For stock-stablecoin pools, the figure is about 2.9x. Stock-stock pools sit at 1.02x, which is roughly breakeven on average. Stock-Meme pools cover only about 0.2x.
Averages hide dispersion. Most stablecoin pairs and ETH pairs are profitable. About half of stock-stock pairs make money. In stock-Meme pairs, fewer than 2% are profitable. That makes losses less of an occasional risk and more of a base case for the Meme product line, where LP capital appears to be supplying liquidity to arbitrageurs.
The report’s explanation is straightforward. Stock tokens track off-chain equity prices, so there is an external reference price the market can verify. Arbitrage enters those pools, but trade size and fee generation are also thicker, leaving room for LP income. On the Meme side, prices move more violently, depth is thinner, and information asymmetry is stronger. Quotes are easier to pick off. Even if the fee rate looks decent on paper, it still struggles to cover how often and how far LPs are being hit.
Regular hours are manageable; the open is not
One common assumption is that stock-linked pools suffer most after the U.S. equity market closes, because on-chain trading continues while the outside reference price stops. The data in the report does not support that view.
From 9:30 a.m. to 4:00 p.m. Eastern Time, or 21:30 to 04:00 Beijing time, both fees and arbitrage costs run about 60% higher than in other periods, while the ratio between them stays almost unchanged. Trading is more active during the session, but revenue and cost rise together. Passive LPs are not being singled out only after hours.
The real deterioration shows up at the open. In the 9:30 slot, arbitrage cost per pool reaches $95.08, versus a pre-open baseline of about $7, a 13-fold jump. At the same time, fees cover only 1.05x of that cost, compared with a more typical 3x to 6x before the open. In the next interval, arbitrage cost drops to about $41. In the one after that, it falls to about $24. Within an hour, it returns to the mid-teens.
The pattern resembles a traditional opening auction. Overnight information is released into prices all at once, price discovery is at its most violent, and quotes are most likely to lag. An AMM does not automatically widen spreads, and it does not cancel orders. If liquidity remains laid flat across that window, it is first in line to be swept. Only after the opening impulse fades into regular intraday movement do fees start covering costs again.
That is why “profitable on a full-day average” and “profitable in the first ten minutes after the open” are not the same statement. The average smooths over the most painful part of the day.
Two decisions matter: pair selection and timing
The first is pair selection.
Stock tokens paired with ETH or stablecoins come with a profit cushion. The same stock token paired against a Meme asset often turns fee income into a transfer from LPs to arbitrageurs. Stock-stock pools may break even on average, but with a 57% win rate, the median pool does not clearly justify the capital. The report argues that market making should not be judged by headline APY alone. What matters is whether the pool has stable, externally anchored flow on the other side.
The analysis also sets a boundary around what the statistics capture. It measures only the cost of stale quotes being traded against. It does not measure inventory direction risk. A stock-Meme pool may lose money on fees, yet still end up positive overall if the Meme asset surges and inventory marks higher. The reverse can also happen. A pool can show fee profitability and still lose money on direction. LVR is not total PnL.
The second decision is timing.
Passive LPs are effectively consumed during the opening window. Participants who can widen quotes around 9:30, pull back depth, or step away temporarily have a better chance of preserving roughly 3x coverage by skipping a period where the edge approaches zero.
That makes this style of liquidity look closer to monitored equity market making than to a set-and-forget on-chain farming strategy. Around the open, the market behaves more like a traditional auction with price gaps. Passive curves are at their weakest there. Once the price-discovery phase passes, fee income starts to do its job again.
What this means for capital allocation
Moving stock trading on-chain through Robinhood Chain does not automatically turn liquidity provision into a stable spread business. The pools that show stronger profitability tend to sit near stock pairs with external pricing and real conversion demand. Pools closer to Meme assets look, statistically, more like arbitrage rails.
On timing, the key issue is not the overnight session but the open. Before allocating capital, the report suggests two practical questions: is the pool paired with ETH, a stablecoin, or a highly volatile Meme asset; and will someone actively manage that liquidity around the open? If both answers are unclear, attractive fee numbers on their own say very little.
The source information identifies the piece as written by Blockworks Research and translated by AididiaoJP for Foresight News.
