Funding extremes: the most stretched perpetuals
Where cross-exchange funding sits furthest from neutral right now.

- •XEC leads with -2103.99% annualized funding.
- •BLAST follows at -1593.89%.
- •8 markets covered · data as of Jul 13, 2026.
Top signals
Key takeaways
- XEC — funding -2103.99%, OI +351.0% 24h, risk 80.
- BLAST — funding -1593.89%, OI +263.2% 24h, risk 68.
- T — funding -1385.39%, OI -4.4% 24h, risk 28.
- DODOX — funding -1061.06%, risk 72.
Cryptocurrency perpetual markets are currently displaying an unusual bifurcation: a cluster of coins trading with deeply negative funding rates—meaning shorts are being paid to hold positions—while a smaller set exhibits extreme positive funding that indicates long crowding. This split reveals two distinct regime dynamics playing out simultaneously, each carrying different implications for market fragility and liquidation risk.
The most extreme case is XEC, which trades at an annualized funding rate of -2103.99%. This extraordinarily negative rate reflects a market where short-sellers dominate to such a degree that longs must be heavily compensated to remain in the trade. Despite the intensity of this funding signal, XEC's funding percentile sits at only 2, meaning this extreme reading is actually *below* its own 90-day range—a counterintuitive signal that the market's structural imbalance, while severe, is not at its historical peak. What makes XEC particularly fragile is the rapid leverage buildup: open interest surged +351.0% in 24 hours and +286.6% over the past week, compressed into a tiny $4.1M notional base. The leverage risk score of 80 reflects this volatility and positioning density.
BLAST and T follow similar negative-funding patterns but with less extreme amplitudes. BLAST's -1593.89% annualized funding (at the 7th percentile of its recent range) underlies $2.6M open interest, while T sits at -1385.39% funding with a larger $16.3M open interest base. T's funding percentile of 23 suggests its current rate is closer to its historical midpoint, even though absolute funding remains deeply negative. Notably, T experienced explosive open interest growth of +4956.0% over seven days, though 24-hour change was modest at -4.4%, suggesting either rapid buildup followed by consolidation or data timing effects.
Shorts are being paid at annualized rates exceeding 2100% in some markets, a structural extreme that signals one-directional overcrowding.
DODOX rounds out the deeply negative cohort with -1061.06% funding on $4.4M open interest. Historical funding percentile data is unavailable for this market, limiting context on whether this rate is stretched versus its own recent past.
The positive-funding side of the spectrum presents a mirror image of crowding, but in the opposite direction. SKHYNIX trades at 893.49% annualized funding—the highest positive rate in this dataset—at a 99th funding percentile, meaning it is unusually stretched *within its own recent history*. This coin sits atop the largest open interest base at $129.6M, and that base is *growing*: +19.8% in 24 hours and +96.0% over seven days. Longs are piling into SKHYNIX at historically extreme valuations of the funding rate. The leverage risk score of 53 is moderate, but the liquidation imbalance metric of -1.00 indicates that shorts are being liquidated at a near-total rate—all liquidations over 24 hours have been long-side exits. This is a classic signal of longs being flushed out.
SAMSUNG exhibits similar dynamics on a smaller scale: 583.36% positive funding at the 99th percentile of its recent range, $9.7M open interest, with +20.9% 24-hour and +33.5% seven-day growth. Like SKHYNIX, the liquidation imbalance is -1.00, meaning shorts are the sole victims of liquidation cascades.
The negative-funding cohort is dominated by much smaller open interest bases and shows high leverage risk scores (ranging from 60–80). These are thin, volatile markets where rapid position accumulation can create sharp reversals. XEC, BLAST, and TLM all show funding percentiles in the single digits (2, 7, 7), suggesting their extreme negative rates may be *normal* for their own markets rather than fresh extremes—a sign of structural short dominance over time rather than a sudden squeeze event.
The positive-funding side—SKHYNIX and SAMSUNG—operates in stronger bases and sits at the 99th percentile, a red flag that long positioning is historically elevated and vulnerable to reversal. The synchronized negative liquidation imbalances suggest shorts are being selected out, leaving only the most stubborn (or leveraged) longs in place.
What would change this read
The negative-funding dominance would normalize if shorts begin covering their positions, lifting funding rates toward zero or positive territory. For the negative cohort (XEC, BLAST, T, DODOX, TLM, VANRY), a reversal in open interest growth—particularly sharp 24-hour or 7-day declines—would signal either position reduction or a structural shift in demand. For SKHYNIX and SAMSUNG, the read would invert if funding drops sharply from the 99th percentile, if open interest growth stalls or reverses, or if liquidation imbalance swings from -1.00 (all shorts liquidated) back toward neutral. Any material inflow of fresh shorts into the positive-funding cohort would be the clearest signal that the crowded long thesis is being questioned.
*Analysis generated from Quantority's live cross-exchange data pipeline. Descriptive market data, not a trade recommendation.*
Funding-spike and liquidation-cascade alerts the moment they fire, plus unlimited history and a REST API.
See what's in Pro→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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Every figure here is read directly from Quantority's cross-exchange data. This is descriptive market analysis — a read on positioning, not a forecast, and not financial advice.