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BTW funding hits 404.33% APR as longs crowd the market

Funding sits at the 96th percentile of BTW's own 90-day range, with $62.7M of open interest at stake.

Yusuf Demir· Jun 20, 2026 · 4 min read
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+0.01% fundingBTW logoBTW
Quick take
  • BTW leads with 96 leverage risk.
  • 1 market covered · data as of Jun 20, 2026.
Markets in this report · as of Jun 20, 2026
CoinFunding APRPctile 90dOpen interestOI 24hRisk
BTW logoBTW586.68%
$141.5M+146.4%96

Key takeaways

  • Funding sits at 586.68% annualized — the 97th percentile of its own 90-day range.
  • Open interest totals $141.5M (+146.4% over 24h).
  • Leverage risk score: 96/100.

Funding Rate at Extremes

BTW's aggregated funding rate stands at 586.68%, an exceptionally elevated level that signals intense crowding in long positions across derivatives venues. This annualized rate—among the highest observable in crypto markets—reflects a structural imbalance where long holders are paying substantially to shorts for the privilege of maintaining leverage. Such extreme positive funding typically emerges only during periods of pronounced directional conviction or speculative fervor, when the majority of leverage is stacked on one side of the market.

The 586.68% rate gains further context when placed against BTW's own recent history. With a funding percentile of 97, today's rate sits at the 97th percentile of the last 90 days, meaning it has been higher than roughly 97 out of every 100 daily observations in that window. This positioning indicates that BTW is not merely elevated—it is at near-record levels relative to its own baseline volatility and typical funding behavior. Such extreme readings often precede sharp repricing, whether through liquidation cascades, forced position unwinds, or the gradual erosion of long positioning as funding costs accumulate.

Open Interest Surge

The rapid expansion in open interest compounds the leverage picture. In the 24 hours prior to the snapshot, open interest climbed by 146.4%, while the 7-day change reveals a staggering 1019.1% increase. These figures describe a market in which new leverage is being deployed at an accelerating pace, with total notional positioning now reaching $141.5M across exchanges. The 24-hour surge alone demonstrates that traders continue to add to longs despite—or perhaps because of—the historically stretched funding environment.

This kind of momentum in open interest, paired with extreme positive funding, typically indicates that participants believe further upside is imminent and are willing to pay the carry cost to remain exposed. However, it also signals that the market structure is becoming increasingly fragile. A sharp pullback in price, or even sideways consolidation that allows funding costs to erode returns, could trigger a rapid reassessment of risk appetite.

Liquidation Distribution

The liquidation imbalance metric offers a snapshot of stress distribution across directional bets. At +0.00, BTW shows a neutral split—neither longs nor shorts faced disproportionate liquidation pressure in the preceding 24 hours. This neutrality, despite the extreme long-side funding and positioning, suggests that current price levels have not yet forced capitulation among either camp. It also implies that liquidation cascades have not been triggered at scale, though the underlying leverage density means any sharp move could rapidly change that equilibrium.

The absence of a skewed liquidation signal does not indicate stability. Rather, it suggests that price has not yet ventured far enough to test stops and margin thresholds. Given the magnitude of open interest that was added in recent days, the machinery for rapid unwinds is in place—it simply awaits a catalyst.

Leverage Risk Assessment

The leverage risk score of 96 is unambiguous: BTW exhibits extremely elevated structural fragility. This composite measure captures the joint effect of high funding, stretched positioning, rapid open interest growth, and concentration risk. A score of 96 places BTW in a state where the leverage infrastructure supporting current price levels is unusually vulnerable to sudden repricing, whether from exogenous news, technical breakdown, or self-reinforcing liquidation mechanics.

Risk scores at this level are rarely sustained for extended periods. Markets with such elevated composite risk typically experience relief through one of three mechanisms: liquidations that thin out weak hands, a sustained period of deleveraging that gradually reduces open interest, or a sharp correction that forces rapid position closure. The combination of 586.68% funding, 97th-percentile positioning, and $141.5M in notional open interest all pointing toward the same conclusion—extreme crowding—makes a material adjustment in market structure increasingly likely.

What the Data Suggests

Taken together, these metrics describe a market in a state of maximum extended positioning relative to its own recent norms. The funding rate is historic, the open interest has expanded tenfold in a week, and the structural risk score is at 96. No single data point is deterministic of what happens next; however, the alignment across all four dimensions—funding, percentile, momentum, and risk—creates a coherent picture of a market structure that has been pushed to an extreme and is therefore statistically more likely than not to revert toward lower leverage and reduced funding rates in the near term.

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.