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USELESS funding hits 10.95% APR as longs crowd the market

Funding sits at the 0th percentile of USELESS's own 90-day range, with $10.9M of open interest at stake.

Yusuf Demir· Jul 6, 2026 · 4 min read
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+0.01% fundingUSELESS logoUSELESS
Quick take
  • USELESS leads with 81 leverage risk.
  • 1 market covered · data as of Jul 6, 2026.
Markets in this report · as of Jul 6, 2026
CoinFunding APRPctile 90dOpen interestOI 24hRisk
USELESS logoUSELESS10.95%
$10.9Mn/a81

Funding at the floor

USELESS is displaying a puzzling disconnect between its nominal funding rate and its historical context. The aggregated funding APR stands at 10.95%, a level that would typically signal substantial crowding in long positions—a scenario where longs are paying shorts to maintain their leverage. Yet the funding percentile over the past 90 days is 0, meaning this rate sits at or near the absolute bottom of the range observed in recent months. This inversion of expectation demands explanation: either USELESS has rarely, if ever, traded at such low funding in the recent past, or the market's structural positioning has shifted dramatically away from the extremes seen earlier in the window.

A positive funding rate of 10.95% on its own would ordinarily warrant caution; sustained outflows from longs to shorts indicate conviction among leveraged bulls. But context is everything. If the 90-day history shows USELESS typically trading at funding rates well above this level, then 10.95% represents a compression—a cooling of long-side aggression relative to what has become normal for this asset. This suggests that whatever leverage building did occur may have exhausted itself or that the market has found temporary equilibrium at a lower cost of carry.

Open interest surge against shallow funding

The apparent contradiction sharpens when open interest movements are factored in. Over the past seven days, OI has risen 10.9M—a gain of +28.6%. This is the hallmark of leverage being added to the market: new positions are being opened or existing ones are being rolled at larger sizes. Typically, such aggressive OI expansion coincides with elevated or rising funding rates, as the influx of new longs pushes the cost to carry upward.

At a 90-day funding percentile of 0, USELESS is priced as cheap on leverage carry despite adding 28.6% to open interest in one week.

Yet USELESS is accumulating leverage while its funding sits at the historical low. This suggests a market willing to build positions at what appears, by its own recent standards, to be a bargain rate. The 24-hour OI change is unavailable, leaving a small gap in the intraday picture, but the weekly data tells a coherent story: positioning is expanding rapidly into a period of suppressed funding costs. Whether this reflects genuine confidence among traders or a late-cycle pile-on remains ambiguous from the data alone, but the setup carries structural risk.

Liquidation balance and two-sided fragility

The liquidation imbalance over the past 24 hours registers at +0.00, indicating perfect symmetry between long and short liquidations. No asymmetric cascade has occurred. This surface calm, however, masks the precariousness implied by the other metrics. With OI expanding by 28.6% weekly into a 10.95% funding environment, and with leverage already priced at historical extremes of cheapness, the market is adding exposure to positions that are, by definition, more fragile than they have been in recent months.

A balanced liquidation profile today does not guarantee balance tomorrow. If USELESS experiences adverse price action, the combination of surging OI and historically low funding could trigger a rapid reassessment. Longs that entered at what felt like cheap carry could find themselves forced to exit simultaneously, reversing the symmetry into a sharp long-side liquidation cascade.

Leverage risk at elevated territory

The leverage risk score is 81, an unambiguous signal of fragility. This composite metric aggregates funding extremes, OI concentration, and volatility regimes into a single severity measure, and a reading of 81 sits in the elevated range. The score reflects the reality encoded in the underlying data: USELESS has engineered a situation in which substantial leverage has been deployed at historically soft funding rates, creating a high-sensitivity environment where even moderate price moves carry disproportionate liquidation risk.

The score does not predict a liquidation cascade; it quantifies the conditions under which one becomes possible. With OI having surged 28.6% in a week while funding remains anchored near its 90-day floor, the margin for error has compressed sharply.

What would change this read

This positioning snapshot would materially invert if funding rates began to normalize upward—a rise back toward the median or upper quartile of the 90-day range would signal that longs are paying an escalating cost to hold, suggesting either profit-taking or caution spreading through the market. Alternatively, if OI declines sharply over the coming days, that would indicate position closure and deleveraging, reducing the latent liquidation risk embedded in the current setup. A rebalancing of the liquidation imbalance—a meaningful shift toward short-side cascades—would also suggest a change in market structure. Any of these conditions would argue that the fragility encoded in the 81 risk score is beginning to dissipate rather than compound.

How to read this

Funding APRAnnualized, OI-weighted funding. Positive = longs pay shorts (crowded longs).
Percentile 90dWhere current funding sits within the coin's own last 90 days (0–100).
Open interestTotal USD value of outstanding perpetual contracts.
OI change 24h / 7dHow fast leverage is entering (+) or unwinding (−) over the period.
Liquidation skewImbalance of forced closures (−1…1): + = more longs liquidated, − = more shorts.
Leverage risk0–100 composite of funding extremity, OI momentum, liquidations and volatility.

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Research Lead, Risk & Methodology · Quantority

Yusuf leads Quantority's risk and methodology work, covering margin frameworks, liquidation mechanics and the limits of each metric. He stresses that figures are descriptive, not predictive.

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This report is generated from Quantority's database; the figures are read from the data and the commentary is automated. Descriptive, not predictive, and not financial advice.