Highest leverage risk in crypto perpetuals right now
The coins our 0-100 leverage risk score flags as most stretched.
- •ZEREBRO leads with 100 leverage risk.
- •BTW follows at 97.
- •8 markets covered · data as of Jun 19, 2026.
Top signals
The Risk Landscape
As of June 19, 2026, eight cryptocurrency perpetual contracts are signaling elevated leverage risk, with leverage risk scores ranging from 81 to 100. The composite metric reflects the fragility of current positioning across these assets—a blend of extreme funding rates, liquidation pressure, and volatility that typically precedes either sharp unwinding or violent repricing. What distinguishes this cohort from the broader market is not uniform causes, but rather divergent structural imbalances that each warrant close examination. Understanding what drives these scores reveals both tail-risk concentration and the mechanics of crowded leverage in lower-liquidity derivative markets.
Extreme Funding as a Primary Driver
ZEREBRO stands alone with a leverage risk score of 100, though its underlying metrics are unavailable for analysis—a data gap that itself signals an opaque, potentially illiquid market. In contrast, BTW and SIREN offer clearer pictures of leverage extremity. BTW carries an aggregated funding APR of 573.83%, placing it at the 98th percentile of its own 90-day funding history. This means longs are paying shorts at a rate that is nearly at the highest point the asset has experienced in recent months, a classic sign of crowded long positioning relative to available liquidity. SIREN is even more extreme: a funding rate of 1049.45% at the 97th percentile signals acute imbalance, with an open interest of just $6.8M supporting that rate. When funding is this elevated on modest notional positions, any movement in underlying price can trigger cascading liquidations.
US and ESPORTS both sit at the 94th percentile for funding, with rates of 110.16% and 351.37% respectively. These are substantial but less acute than BTW or SIREN. Their leverage risk scores of 93 and 92 reflect this; the positioning is stretched, but not at the extremes. The smaller notional open interest—$5.6M for US and $10.8M for ESPORTS—suggests that while funding is elevated, absolute leverage size is constrained by limited liquidity.
Inverted Signals: Shorts Paying Longs
VVV and CHZ present the inverse narrative. VVV trades at a funding rate of −197.76%, placing it at the 0th percentile—meaning shorts are paying longs at a near-record discount. This typically indicates crowded short positioning and severe pessimism. Yet VVV still carries a leverage risk score of 84, suggesting that the fragility of the market structure is high regardless of directional bias. Shorts are underwater and vulnerable to a rally that forces covering. CHZ exhibits similar dynamics: −79.71% funding at the 1st percentile. Its larger open interest of $12.9M makes it a material position, and the extreme negative funding exposes short-side leverage to sudden upside shocks.
The presence of inverted funding extremes among the highest-risk assets highlights an important principle: leverage risk is not purely about direction. A market can be equally fragile whether longs or shorts are crowded. What matters is the magnitude of the imbalance and the size of the position relative to liquidity.
Funding Percentile Concentration
ZRO presents a subtle but important signal: despite a modest aggregated funding APR of just 10.95%, it ranks at the 100th percentile of its 90-day range. This means that even a 10.95% annualized rate is historically stretched for ZRO—a token with naturally lower funding volatility than peers. Its leverage risk score of 81 reflects not the absolute rate, but the relative extremity. For lower-volatility assets, even modest funding moves can signal unusual leverage accumulation.
The clustering of high percentiles (94, 97, 98, 100) across most of these eight assets indicates systematic overleverage across a basket of derivatives, rather than isolated tail risk. This breadth is worth noting: when multiple tokens show simultaneously stretched funding, it often suggests that traders are using leverage across correlated bets or that risk appetite has expanded beyond fundamental repricing.
Liquidation Pressure and Market Fragility
All eight assets show a liquidation imbalance of +0.00 over the past 24 hours, indicating no directional cascade of liquidations at the measurement date. However, the absence of active liquidation pressure does not mean stability; it suggests that positions remain open and leveraged, waiting for a trigger. The moderately-sized notional open interests across the board—ranging from $2.3M to $33.0M—mean that even modest adverse price moves could activate liquidation waterfalls, particularly in tokens with less trading depth.
Conclusion
The eight assets flagged by leverage risk scores above 80 share a common feature: acute imbalance between long and short positioning, expressed through extreme funding rates and funding percentiles that sit well above their own recent norms. Whether longs are crowded (BTW, SIREN, US, ESPORTS) or shorts are (VVV, CHZ), the markets are stretched. ZEREBRO's opaque data and ZRO's inverted signal—high percentile on low absolute rate—round out a cohort worth monitoring for potential volatility or deleveraging events.
How to read this
| Funding APR | Annualized, OI-weighted funding. Positive = longs pay shorts (crowded longs). |
| Percentile 90d | Where current funding sits within the coin's own last 90 days (0–100). |
| Open interest | Total USD value of outstanding perpetual contracts. |
| OI change 24h / 7d | How fast leverage is entering (+) or unwinding (−) over the period. |
| Liquidation skew | Imbalance of forced closures (−1…1): + = more longs liquidated, − = more shorts. |
| Leverage risk | 0–100 composite of funding extremity, OI momentum, liquidations and volatility. |
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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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Get the brief on Telegram →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.