LAB leverage spotlight
A focused read on LAB perpetual-futures positioning.
- •LAB leads with 51 leverage risk.
- •1 market covered · data as of Jun 20, 2026.
| Coin | Funding APR | Pctile 90d | Open interest | OI 24h | Risk |
|---|---|---|---|---|---|
| 10.95% | 23 | $124.5M | n/a | 51 |
Funding Rate in Historical Context
LAB's aggregated funding APR sits at 10.95%, a notably elevated level that signals sustained demand from long positions. The critical context for this figure emerges when examined against its 90-day percentile of 23. This placement means LAB's current funding rate ranks in roughly the bottom quarter of its recent range—a counterintuitive reading that suggests the present rate, while high in absolute terms, is actually restrained relative to where it has traded over the past three months. The spread between absolute and percentile levels indicates that LAB has experienced phases of even more acute long-side crowding, making today's 10.95% annualized cost to holders of leveraged longs appear moderate by recent standards. This creates an asymmetry worth noting: the positive funding environment continues to incentivize long accumulation, yet the rate has not yet returned to its peak recent extremes.
Open Interest Size and Directional Momentum
The total notional open interest in LAB derivatives stands at $124.5M, representing a material but not exceptional position size within the broader crypto derivatives ecosystem. Unfortunately, the available data does not include the 24-hour and 7-day open interest changes (both marked as n/a), which would normally provide critical signals about whether leverage is actively building or unwinding. This gap prevents a direct assessment of momentum—whether new long positions are being accumulated at the current funding rate, or if existing positions are being reduced. The $124.5M figure alone conveys only the snapshot of current positioning, not its trajectory. For traders and risk managers, this absence of directional data leaves a partial picture: we can measure the size of the boat, but not whether it is being loaded or unloaded.
Liquidation Imbalance and Directional Stress
The liquidation imbalance reading of -1.00 over the preceding 24 hours presents a stark signal: this extreme negative value indicates that short positions experienced liquidation at an overwhelmingly higher rate than longs. In the most pronounced interpretation, a value of -1.00 suggests that all liquidations in the period were concentrated on the short side, with virtually no long liquidations. This pattern is consistent with a market environment in which leverage is primarily concentrated in long positions, leaving shorts exposed and vulnerable to upside volatility. The absence of two-way liquidation pressure—rather than a balanced clearing of overleveraged positions—underscores an asymmetric fragility: the market structure appears tilted to accommodate long leverage, while short participants face acute risk. This imbalance often precedes sharp reversals when long positions experience cascading exit pressure.
Leverage Risk Synthesis
LAB's leverage risk score of 51 places the coin at the exact midpoint of the 0-100 scale, indicating moderate overall fragility in its positioning structure. This middling score reflects a composite assessment that does not align perfectly with any single metric alone. The elevated funding rate of 10.95% would ordinarily suggest crowding, yet the 90-day percentile of 23 indicates this crowding is not at extremes. The liquidation imbalance of -1.00 is decidedly skewed toward short-side stress, yet the open interest of $124.5M remains manageable in scale. The resulting risk score of 51 captures this mixed picture: LAB is neither in a state of peak leverage fragility nor in a state of balanced, stable positioning. It occupies a zone of moderate concern, where the fundamentals of crowding exist but have not yet coalesced into a critical configuration.
Interpreting the Overall Positioning Picture
The combination of metrics reveals LAB in a state of cautious imbalance. Long positions are paying meaningful funding (10.95% annualized) to short counterparts, yet this rate is lower than recent extremes, suggesting some moderation in long-side urgency. The absence of open interest momentum data prevents confirmation of whether new longs continue to accumulate or if earlier enthusiasts have begun exiting. The overwhelming concentration of liquidations among shorts (the -1.00 reading) is the sharpest warning signal: it points to a market in which leverage is directionally skewed, leaving one side of the orderbook far more fragile than the other. The moderate risk score reflects this tension between elevated but not extreme funding, and asymmetric liquidation pressure.
Practical Implications
For participants monitoring LAB derivatives, the key takeaway is one of imbalance rather than crisis. The positioning is stretched toward longs, the funding environment continues to reward that positioning, and shorts face material liquidation risk in a volatile move upward. Yet the absolute funding rate and the risk score both suggest room for further deterioration before reaching a truly critical state. The missing data on open interest momentum leaves a gap in the analysis: if the 24-hour and 7-day changes remain unavailable, traders lack full visibility into whether the long crowding is actively being renewed or is gradually unwinding. That opacity itself warrants caution.
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.