Crypto Put Skew Is High While Volatility Is Cheap

Implied volatility fell on all six coins Cayø Largo tracks over the twenty-four hours to 3 September 2026, and put skew did not follow it down. Rank each measure against that coin's own trailing 90 days and skew now sits higher than the volatility level on five of the six, TRX being the only exception. The complex got cheaper and more asymmetric in the same session.

Two different counts run through this note and they are worth separating before the table. Five of six is the relative reading: skew ranking above the level. Four of six is the absolute one: 30-day put skew above the 79th percentile of its own history, which is SOL at 98.4, ETH at 87.4, XRP at 83.3 and BTC at 79.2, with TRX at 61.0 and AVAX at 44.5 below it.

Two different questions about the same surface

The at-the-money implied volatility level answers one question: how much is this coin expected to move. Put skew answers a different one: how much more expensive is downside than upside. They are usually discussed together and they do not have to move together.

The distinction matters because a reader watching only the level would have concluded that risk appetite improved overnight. Volatility came down on every coin, XRP by 4.58 vol points on the 7-day at-the-money and SOL by 2.72. That is a market charging less for movement. But three of those same coins simultaneously charged more for downside: XRP added 7.49 points of 30-day put skew, SOL 6.47, ETH 1.62.

Protection was still being bought. It went into the shape of the surface, not its height.

Where each coin sits in its own history

A level is not comparable across coins. TRX's typical put skew and SOL's typical put skew are different animals, so the only way to put six coins on one scale is to rank each against its own past. Every figure below is a percentile of that coin's own trailing 90 days.

Coin	Put skew, 30d	Skew percentile	IV percentile	24h skew change	Sample cycles
SOL	42.51	98.4	48.9	+6.47	11,210
ETH	58.77	87.4	24.5	+1.62	8,346
XRP	36.05	83.3	69.9	+7.49	8,589
BTC	58.02	79.2	40.4	-11.69	4,854
TRX	26.59	61.0	93.8	-2.91	1,171
AVAX	21.23	44.5	7.1	-1.70	9,855

Figure 1: Every coin's two ranks on one scale. The left rail is where its put skew sits in its own 90 days, the right rail where its implied volatility level sits. A falling line means downside is priced richer than movement. Five of six fall, and TRX alone rises, the only coin whose volatility level ranks above its skew.

The widest gap belongs to ETH: skew at the 87.4th percentile, level at the 24.5th, a spread of 63 rank points. AVAX carries the cheapest volatility in the set at the 7.1st percentile of its own history and still ranks its skew nearly forty points higher.

BTC is the divergence and it is worth watching rather than explaining away. Its put skew fell 11.69 points over the day, the largest single move in the set, and still landed at the 79.2nd percentile. It arrived there from higher.

Practitioners were describing this shape the same week

Two notes published in the days before this reading come at the same subject from opposite ends, and the difference between them matters as much as the overlap.

Imran Lakha argued on 1 September that the genuinely unusual behaviour was not spot rising with volatility, but days when the market ticks down and volatility does nothing at all, which he attributed to dealers already holding the volatility nobody needed to buy back. His tell was to watch the down days rather than the up ones.

A day later, VolSignals measured the S&P 500 version: two-week skew moving to roughly the 88th percentile of the last two years with the index down less than 1%, and the argument that skew is better read as a position than as sentiment.

Their session was not the one described here, and the difference is the point. On their day the at-the-money level rose as well, 1-month S&P 500 implied volatility going from about 11.7% to 13.0% while the 25-delta put-call difference widened from 3.7 to 4.6 volatility points. Protection was bid in the level and in the shape together. Their skew measure is also normalised, put vol minus call vol divided by at-the-money vol, so a falling level lifts it mechanically, which is worth knowing before setting their number beside ours.

What Cayø Largo records is the harder case, and closer to what Lakha was pointing at: the level fell on every coin and the shape held or steepened anyway. Nothing lifted skew mechanically here, because the vol-point difference is not divided by a falling denominator.

This is not new behaviour. Imran Lakha documented a major front-end skew repricing in December 2023, when short-dated downside demand pushed weekly skew to a 3 to 4 volatility point put premium while the long end kept its call premium, and he had described the same rotation toward put premium in August 2023. Ranking skew against its own history is not new either, and the clearest recent example is the VolSignals note above, which places S&P 500 two-week skew at the 88th percentile of two years. What we could not find is anyone doing it for crypto skew. The field reads it as a level through time, and Amberdata's Q1 2023 review of the BTC volatility surface is typical: its risk-reversal section plots 25-delta skew across five tenors as a time series. That same review does use a distributional view, a box plot of 2022 against 2023, but it spends it on the futures basis rather than on skew. What is new here is doing it for six coins at once, every ten minutes, so the cross-sectional picture is available on the day rather than in a quarterly review.

How this was measured

Put skew comes from put_skew_dte30 and the volatility level from atm_iv_dte_7, both on Cayø Largo's own volatility surface, rebuilt from Deribit every ten minutes and documented on the skew endpoints. The reading is the 03:20 UTC cycle of 3 September 2026.

Each percentile is the share of that coin's cycles in the trailing 90 days at or below the current value, computed on the all-cycles basis rather than a same-hour basis. All-cycles uses roughly ten thousand observations per coin against roughly six hundred for same-hour, and the thin basis has produced misleading ranks before. The live surface these readings come from is on the Vol Surface Explorer.

What this does not say

Sample depth is uneven and it is printed beside every figure for a reason. Over the same 90 days, put_skew_dte30 carries 11,210 cycles on SOL and 1,171 on TRX. TRX's 61st percentile rests on the thinnest history in the set and should be read with that in mind. BTC's 4,854 is less than half of SOL's.

The 7-day tenor is not reportable today. put_skew_dte7 was NULL on every coin except SOL at this cycle, so every skew figure here is the 30-day series. A note claiming a front-end reading today would be claiming something the surface did not carry.

A percentile is a rank, not a forecast. It says where today sits against ninety days of the same coin, and ninety days is a short history for a market this young. It says nothing about what happens next, and this note makes no claim about direction.

The cause is unestablished. Lakha's explanation is dealer inventory, and Cayø Largo cannot read dealer inventory cleanly enough to confirm or reject it. What we can show is the configuration, and that it is present across most of the complex at once.

Related, and measured yesterday: how often each coin's implied volatility responds to price at all, which found the response far weaker than the textbook implies and different on every coin. This note is the other half of that picture, the response that shows up in the shape rather than the level. For the deep-out-of-the-money version of the same surface question, see reading deep OTM implied volatility.

What to watch

The reading that would settle the competing stories is the skew path on the days the level does move. If skew holds its rank through a session where volatility rises as well, the protection bid is structural. If it collapses the moment the level catches up, it was positioning waiting to clear, which is what Lakha's argument predicts.

References

• Amberdata, 20 April 2023, The BTC Volatility Surface: Q1 2023, Deribit Insights, Risk-Reversal Skew section: 25-delta skew plotted as a time series across five tenors, the ordinary treatment. Note that the section is headed "Skew 30 box plot" but the chart is not one; the review's only true box plot sits further down, on the futures basis. https://insights.deribit.com/industry/the-btc-volatility-surface-q1-2023/#Risk-Reversal-Skew
• Imran Lakha, 2 August 2023, Shift In Sentiment Away From Bullish Expectations, Deribit Insights: BTC skew rotating toward put premium across the curve. https://insights.deribit.com/industry/shift-in-sentiment-away-from-bullish-expectations/
• Imran Lakha, 13 December 2023, Major Repricing in Front-End Skew, Deribit Insights: short-dated downside demand pushing weekly skew to a put premium while the long end held a call premium. https://insights.deribit.com/industry/major-repricing-in-front-end-skew/
• Imran Lakha, 1 September 2026, on X: down days producing no volatility bid, read as a positioning signal rather than ordinary behaviour. https://x.com/options_insight/status/2094796922963783873
• VolSignals, 2 September 2026, on X: S&P 500 two-week skew at roughly the 88th percentile of two years with the index down under 1%, and the argument that skew is a position. Their at-the-money level rose on the same session, about 11.7% to 13.0%, and their skew measure is normalised by at-the-money vol, so it is a comparison rather than a match. https://x.com/VolSignals/status/2095135752799609082

Cayø Largo data referenced throughout: 30-day put skew and 7-day at-the-money implied volatility, six coins, ten-minute cadence, ranked against a 90-day trailing window from 5 June 2026. Field definitions are published in the skew API documentation.