TL;DR

• Tokenized-equity perpetuals are a young, lopsided market: retail piles into leveraged longs while market-making and arbitrage capital has yet to fill the other side—so the market structurally pays whoever is willing to be short.
• After all costs, holding “event-grade” names for the carry earns a net excess return of roughly 10–17.5% annualized on full capital (13–14% as a central estimate). Trying to make money by darting in and out of event windows, by contrast, loses money most of the time.
• The return has to come from mechanism, not opinion · it only holds while funding is in an “event-grade” regime · and the window is already closing.

1. Summary

The market for tokenized-equity perpetuals went from nothing to something over the past three quarters. It now displays the imbalance typical of any early market: retail crowds into leveraged longs, market-making and arbitrage capital hasn’t yet arrived to backstop the other side, and the venues themselves are badly fragmented—each quoting its own price.

That imbalance “pays” capital willing to stand on the short side in two ways:

• a persistently positive funding rate, and
• the price spread for the same stock across different exchanges.

For hot single names, funding can reach 30–50% annualized during earnings weeks, and break 100% on the day of a major macro event.

Our conclusions on tokenized-equity perpetual funding-rate arbitrage are as follows.

One: after all costs, a strategy that targets “event-grade” names and holds them for the carry earns roughly 10–17.5% net excess annualized on full capital (central estimate 13–14%; the absolute return, before subtracting the risk-free rate, is roughly 14–21%). But trying to make money by darting in and out of event windows loses money in most cases.

Returns here are measured on a “full-capital, excess” basis:

• Full capital: the denominator counts both the cash tied up in the hedge leg and the margin posted on the perpetual leg—not just one of them.
• Excess: from that, we further subtract the risk-free rate, SOFR (currently 3.63%).

The 30–50% “window gross funding” is hard to actually capture. Over a two-day hold, the cost of a single round trip (entry plus exit) is enough to eat up—or exceed—all the funding collected across those two days. Playing the window only pays when gross funding breaks 100% and you can build the position with passive limit orders. So the correct way to run this is: anchor on multi-week holds, add opportunistically only when funding is extreme, and don’t chase every event.

Two: “getting wicked out in thin sessions” has already been neutralized mechanically on the major venues.

What’s been solved is the “wick liquidation”—where, in a quiet session, price is momentarily slammed to an extreme value and triggers an unjustified liquidation. But the real, large gap risk has not gone away; that part still has to be absorbed by margin buffers and position rules. Venue by venue:

• Kraken‘s equity perpetuals reference the 24/7 price of its own spot token. The perpetual and the hedge therefore drift in sync and don’t decouple.
• Hyperliquid (deployed by trade.xyz) switches to an internal pricing mechanism when the underlying stock market is closed, and sets a price band called “discovery bounds”—if a position’s liquidation price falls outside the active band, it cannot be liquidated while that band is in force.

Two things are worth flagging here:

1. trade.xyz applies a 0.5× funding multiplier, and it acts on the entire funding formula (not just the interest term). That means: for the same retail-long imbalance, a short on this venue collects only half the funding it would elsewhere—carry (the income from holding a position and collecting funding) is cut in half.
2. Margin modes are diverging—index products (such as SP500) already support cross margin, but most single names are still isolated, and this has to be confirmed market by market.

Three: the window is closing.

Exchanges have begun structurally suppressing funding. Binance’s own closed-loop tokenized-equity product, bStocks, is already live. That will accelerate the convergence of cross-venue spreads.

2. Where the opportunity comes from: why the market pays shorts so much

Why is tokenized-equity funding persistently positive—and high?

In a market dominated by one-sided, leveraged retail longs, where market-making and arbitrage capital hasn’t fully arrived, the contract price stays above spot. Funding then becomes the “rent” that longs pay shorts, continuously. Data from Coinglass and Bitget show that funding on hot single-name perpetuals routinely exceeds 30–50% annualized during earnings weeks, with spikes above 100% during macro events.

Fragmentation across venues creates a second layer of income. The same stock is priced independently on Kraken, Hyperliquid, Binance, BitMEX, and elsewhere, and the funding and prices are rarely consistent. In June: Binance’s Samsung perpetual ran 0.93% above Hyperliquid’s same-name contract, SK Hynix 1.03% higher, and the gap reached as wide as 2.3%—and the spread widens overnight and on weekends.

Even on the far more mature BTC/ETH perpetuals, cross-venue funding spreads persist—public measurements show the Hyperliquid–Binance funding spread reliably supplies roughly 6–11% annualized, with peaks of 23–48%. Equity perpetuals are far more fragmented than that.

3. This is not “riskless” arbitrage

Tokenized-equity perpetual funding-rate arbitrage has two return sources that are entirely different in nature.

3.1 Funding carry is a risk premium

This is the same point we made earlier about “crypto’s benchmark rates”: the spreads among on-chain interest rates form a risk map, not a sheet of free arbitrage—the fact that a spread can persist at all is itself evidence that it is pricing some risk.

The risk being priced here is tail risk: funding on a hot name can flip, the moment sentiment turns, from +30% annualized straight to −80%. Once it turns negative, holding the carry position bleeds every settlement period until you close it.

3.2 The cross-venue spread: closer to true arbitrage, but with its own risks

The trade is to short the same contract on the expensive venue and go long on the cheap one, betting the spread eventually converges. Two traps:

• The spread can widen before it converges. And the short’s liquidation references the mark price on the expensive venue—the wider the spread, the closer you are to liquidation.
• The time to convergence is uncertain. “Waiting for convergence” easily turns into “holding a losing position.”

So the spread book needs its own rule set, independent of carry: its own stop, position cap, and maximum holding period.

Choosing the hedge instrument

What you hedge with changes the shape of the risk:

• Hedging with the spot token: you take on the basis risk between “the token and the real stock” (basis being the price difference between the two instruments).
• Hedging with a perpetual on another venue: you take on cross-venue convergence risk, plus the “dual-oracle risk” that either of two oracles can malfunction.
• Hedging with real shares at a broker: the worst option. Real shares only have liquidity during U.S. market hours, so over the weekend the entire hedge leg freezes—precisely maximizing gap risk.

4. Net-return estimates under three scenarios

All fee parameters below are taken from each venue’s official fee schedule and public documentation.

Verified fees and mechanism parameters

Execution-cost convention (one full round trip—entry plus exit, both legs combined):

• Passive execution (mostly resting limit orders, on weekdays when depth is good): roughly 0.15–0.2%.
• Aggressive execution (taking liquidity, during event periods or when depth is poor): roughly 0.6–0.9%, of which the spot-token leg’s spread is the largest component.

Return convention

In the tables below:

• “Full capital” = the full cash on the hedge leg + the margin on the perpetual leg (shown at a notional 25%), totaling roughly 1.25× notional;
• “Excess” = that return, with SOFR (3.63%) further subtracted.

Each table first gives a “notional-basis subtotal” to make the individual costs easy to check, but the conclusion always rests on the final row, the full-capital excess return.

Scenario 1: steady-state hold (gross funding 12% annualized, rotate every 4 weeks, 13 turns per year)

At steady-state funding, the strategy only barely beats the risk-free rate, and only under ideal execution. Put differently, steady-state is not, on its own, a reason to run this strategy. The strategy stands up only when funding is in an “event-grade” elevation.

Scenario 2: event-grade hold (gross funding 30% annualized, otherwise as above)

The full-capital excess return runs roughly 10.2–17.5%, central estimate 13–14% (absolute return 13.8–21.1%). The aggressive-execution tier (30% gross funding leaves ~12% after frictions) is consistent in magnitude with industry experience; the upper bound comes from passive execution.

Two caveats must travel with this table:

1. The 30% gross funding is not locked in over the holding period—it can decay, and it can turn negative.
2. The 0.5× multiplier cuts both ways. The gross-funding figures in this table are “venue-neutral.” If the same long imbalance occurs on Hyperliquid, shorts collect only half—meaning that to assemble 30% gross funding on Hyperliquid, you’d need an imbalance roughly 60% as strong as elsewhere would require.

Scenario 3: dart in and out of the event window (2-day hold, one full round trip per window)

The 30–50% window gross funding simply doesn’t move the needle. A two-day hold can’t amortize the cost of one full round trip, so in most cases a single window is net negative. The one positive case—gross funding above 100% and a passive build—works out to roughly 47% annualized on the full-capital excess basis, but it happens precisely in the sessions where depth is worst and passive fills are hardest.

So the execution principle is settled: anchor on event-grade holds; add into event windows only when funding is extreme; and never pay taker costs for the window itself.

5. Risks

Whether the whole hedge holds together comes down to one mechanical question—when the underlying stock market is closed, what is the perpetual’s index price tracking? Three designs map to three entirely different risk shapes.

Design A: tracks the token’s 24/7 price → the two legs drift in sync, basis is small, the hedge holds. Kraken is in this category: its equity perpetuals explicitly use the continuous on-chain price of the xStocks token as the reference layer, providing a live reference even when traditional markets are closed.

Design B: tracks the underlying stock price (frozen on weekends) → over the weekend the perpetual moves while the reference doesn’t, the two legs split, and the hedge breaks down every weekend. Binance is in this category.

Design C: internal pricing + price-band protection → the optimal form. This is exactly what trade.xyz does for equity perpetuals on Hyperliquid:

• when the external market is open, it uses the external fair price;
• when closed, the oracle switches to an internal mechanism, advancing continuously via an exponential moving average with a 30-minute time constant, computed off order-book impact spreads; the mark price takes the median of three components, to filter out anomalous fills;
• most important is the discovery-bounds mechanism: the mark price is confined to an instantaneous band of “reference price ±(1/max leverage).” When price reaches the configured threshold at the band’s edge (e.g. 90%), the band “re-anchors” outward a preset number of times; once the cumulative cap is reached it hard-caps until external pricing resumes. And a position whose liquidation price lies outside the active band cannot be liquidated while that band is in force.

The band parameters are configured per market—there is no single market-wide value—and must be read line by line from the trade.xyz Specification Index. For example: SP500 is ±2% with 1 permitted re-anchor (cumulative cap ~4%); a 20x-leverage single name has an instantaneous band of ±5%, with the cumulative cap compounding with the number of permitted re-anchors. Coinbase International’s equity and pre-IPO perpetuals use a similar structure (multi-oracle index + fair-value-band constraint).

What this mechanism actually protects: it defends against the “wick,” not the “gap.”

The band steps outward, and each re-anchor may “enclose” the position’s liquidation price inside the new band—so in a genuine large gap, liquidation is tiered and delayed, not canceled; once the cumulative cap is hit, the remaining gap is filled all at once the instant external pricing resumes.

Economically, the loss is still bounded: at the moment of liquidation, the hedge (the token) is profiting in sync, so the net loss is roughly “liquidation friction + the naked exposure that follows,” not the entire gap. The band protects up to the cumulative boundary; beyond that, it’s on the margin buffer and position rules.

Three residual risks

Risk 1: token liquidity and de-peg. A single event can blow out the secondary-market spread—there is already a public record of the spot spread widening from the ~1bp range on weekdays to 30bp in the Sunday Asian session.

Risk 2: margin-structure and liquidation-timing mismatch. When the perpetual is margin-called, the unrealized gains on the hedge token may not be immediately available to use. The constraint here is diverging: Hyperliquid’s single-name perpetuals are mostly on isolated margin (per market, governed by the Margin Mode column of the Specification Index), while index products (SP500) already support cross margin. The trouble with isolated positions is that once opened you can only add margin, not withdraw it—a one-way door. So the mismatch risk on single names can only be absorbed by a thicker per-position buffer, paired with an automatic margin-top-up mechanism and a reserve pool. Because its perpetual and spot sit inside the same regulated entity, Binance remains the only venue where single-name carry can mitigate this risk through account structure.

Risk 3: continuity of the weekend hedge. If spot does close over the weekend: an already-built hedge is unaffected (both legs are held, drifting in sync), but what’s lost is the ability to rebalance and add over the weekend—at which point you can only fall back to an on-chain DEX, which is exactly when the spread is widest. So the weekend stacks three disadvantages: the perpetual is moving, same-venue spot may be closed, and the on-chain backup is thin. The operational response doesn’t depend on resolving the uncertainty: build all standing base positions under a “zero weekend rebalancing” constraint, and flatten the book’s delta (the portfolio’s net exposure to moves in the underlying) before the U.S. close each Friday.

6. Mechanism comparison

Priorities have to be split across “two books.”

• Carry book: Binance and Kraken first—funding isn’t discounted by a multiplier, both are regulated, and they’re the only venues where single-name carry can mitigate liquidation mismatch through same-venue account structure. Hyperliquid is downgraded on the carry book (income halved for the same imbalance, plus the single-name isolated-margin constraint).
• Spread book: keep and prioritize Hyperliquid—it’s the main price-discovery arena, with low resting-order costs, and the bleed when funding turns negative is likewise halved; besides, cross-venue spread trades inherently have their two legs on two venues and don’t rely on same-venue margin in the first place.

The index products’ risk shape is clearly a notch better than single names’: their oracle runs on institutional quotes and traditional index futures throughout the extended sessions, internal pricing is confined to a ~49-hour weekend window, and they’re already on cross margin. So if the book includes index perpetuals, give them their own, wider risk budget.

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About BlockBooster

BlockBooster is a next-era alternative asset management firm for the digital age. The firm leverages blockchain technology to invest in, incubate, and manage the core assets of this new era, from Web3-native projects to real-world assets (RWA). As value co-creators, BlockBooster is dedicated to unlocking the long-term potential of these assets, capturing exceptional value for its partners and investors in the digital economy.

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