QRAFT AI-Enhanced U.S. Large Cap ETF (QRFT) Expected Move

Expected move estimates the probable price range for a given period based on at-the-money options pricing. It reflects the market consensus for volatility over the selected timeframe.

QRAFT AI-Enhanced U.S. Large Cap ETF (QRFT) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $15.0M, listed on AMEX, carrying a beta of 1.07 to the broader market. The fund is an actively-managed ETF that seeks to achieve its investment objective by utilizing an investment strategy enhanced by the use of artificial intelligence. public since 2019-05-21.

Snapshot as of May 15, 2026.

Spot Price
$68.63
Expected Move
4.2%
Implied High
$71.54
Implied Low
$65.72
Front DTE
34 days

As of May 15, 2026, QRAFT AI-Enhanced U.S. Large Cap ETF (QRFT) has an expected move of 4.24%, a one-standard-deviation implied price range of roughly $65.72 to $71.54 from the current $68.63. Expected move is derived from at-the-money straddle pricing and represents the market's pricing of a ±1σ move. Roughly 68% of outcomes should fall within this range under lognormal assumptions, though empirical markets have fatter tails.

QRFT Strategy Sizing to the Expected Move

With QRAFT AI-Enhanced U.S. Large Cap ETF pricing an expected move of 4.24% from $68.63, risk-defined strategies sized to the implied range structurally target the modal outcome distribution. Iron condors with wings at the ±1σ expected move boundaries collect premium against the ~68% probability that spot stays inside the range under lognormal assumptions; strangles set wider at ±1.5σ or ±2σ target the tails but pay smaller per-trade premium. Long-vol structures (long straddles, ratio backspreads) profit when realized move exceeds the implied move, the inverse trade: they bet against the lognormal assumption itself, capitalizing on the empirically fatter equity-return tails.

Learn how expected move is reported and how to read the data →

Per-expiration expected move for QRFT derived from ATM implied volatility at each listed expiration. Implied high/low bounds are computed as $68.63 × (1 ± expected move %). One standard-deviation range under lognormal assumptions, roughly 68% of outcomes fall inside.

ExpirationDTEATM IVExpected MoveImplied HighImplied Low
Jun 18, 20263414.8%4.5%$71.73$65.53
Jul 17, 20266315.6%6.5%$73.08$64.18
Sep 18, 202612616.8%9.9%$75.40$61.86
Dec 18, 202621717.8%13.7%$78.05$59.21

Frequently asked QRFT expected move questions

What is the current QRFT expected move?
As of May 15, 2026, QRAFT AI-Enhanced U.S. Large Cap ETF (QRFT) has an expected move of 4.24% over the next 34 days, implying a one-standard-deviation price range of $65.72 to $71.54 from the current $68.63. The expected move is derived from at-the-money straddle pricing and represents the market consensus for a ±1σ price move.
What does the QRFT expected move mean for traders?
Roughly 68% of outcomes should fall within ±1 expected move and 95% within ±2 under lognormal assumptions, though equity returns have empirically fatter tails than log-normal predicts. Strategies sized to the expected move (iron condors at ±1σ, strangles at ±1.5σ) target the typical outcome distribution; strategies that profit from tail moves (long-vol structures, ratio backspreads) target the tails the lognormal model under-prices.
How is QRFT expected move calculated?
The expected move displayed here is derived from at-the-money implied volatility scaled to the chosen tenor: expected move % is approximately ATM IV times sqrt(T / 365), where T is days to expiration. An equivalent straddle-based form: the ATM straddle (call + put at the same strike) is roughly sqrt(2/pi) times spot times IV times sqrt(T/365), so the implied one-standard-deviation move is approximately 1.25 times ATM straddle divided by spot. The two formulations agree once the sqrt(2/pi) constant is reconciled.