What is the KROP 30-day expected price range?

As of Jul 15, 2026, with KROP at $35.00 and ATM IV at 88.0%, the implied 30-day one-standard-deviation range is approximately ±$8.83, or about $26.17 to $43.83.

What does KROP risk-neutral density tell us?

Risk-neutral density is the probability distribution of future KROP price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.

How does KROP ATM IV translate to a probability range?

ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.

Global X AgTech & Food Innovation ETF (KROP) Probability Analysis

Probability analysis extracts the risk-neutral probability distribution implied by option prices. It shows the market-implied likelihood of the underlying reaching various price levels by expiration.

Global X AgTech & Food Innovation ETF (KROP) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $9.3M, listed on NASDAQ, employing roughly 195 people, carrying a beta of 0.76 to the broader market. KROP tracks an index that combines two thematic exposures into one fund: agricultural technology and food innovation. Led by Mark Summers, public since 2021-07-14.

Snapshot as of Jul 15, 2026.

Spot Price: $35.00
ATM IV: 88.0%
IV Rank: 60.0%
IV Percentile: 95.6%
HV 20-Day: 15.2%
IV Skew 25Δ: 0.050

As of Jul 15, 2026, Global X AgTech & Food Innovation ETF (KROP) at $35.00 has an ATM IV of 88.0%, implying a 30-day one-standard-deviation range of approximately ±$8.83. IV rank is 60.0% (near its 1-year median). IV percentile is 95.6%. The 25-delta skew is +0.050: upside tail priced richer than downside, biasing probability mass above spot. Under lognormal assumptions roughly 68% of outcomes fall within ±1σ and 95% within ±2σ; risk-neutral probability analysis refines this by extracting the market-implied distribution directly from options prices, capturing the fat tails that real markets exhibit.

How KROP probability analysis Data Feeds Strategy Selection

Strategy selection on Global X AgTech & Food Innovation ETF options does not derive from any single metric in isolation. The probability analysis view above sits inside a broader read: ATM IV currently sits at 88.0% and dealer gamma exposure is positive, so dealer hedging is mechanically mean-reverting. Combine the probability analysis data here with the volatility-skew surface, dealer-gamma exposure, max-pain level, and upcoming-events calendar to build a positioning thesis. Risk-defined structures (credit spreads, debit spreads, iron condors) are usually safer than naked positions while the regime is uncertain; the data on this page anchors the inputs but does not by itself constitute a trade thesis.

How to read the KROP probability distribution

The probability cone above is the option-market-implied distribution of where Global X AgTech & Food Innovation ETF spot could end up at expiration. It's derived from the implied-volatility surface via a risk-neutral pricing transformation, not from historical realized returns. With ATM IV at 88.0% and spot at $35.00, the 1σ band is approximately ±30.4% over a 30-day horizon. Recent realized HV-20 of 15.2% runs 72.8 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

KROP risk-neutral vs real-world probabilities

The probabilities derived from option prices reflect the market's risk-adjusted view, not the realized statistical distribution. Risk-neutral probabilities include the equity risk premium and skew preferences priced into options, so they tend to overstate tail probability and understate upside drift relative to actually-realized outcomes. For probability-of-touch calculations and assignment-risk modeling, risk-neutral is the right benchmark. For position-sizing your own conviction, blend with realized-volatility-based statistics from the HV columns.

Trading the KROP distribution

Probability-driven strategies aim to capture mispricings between the implied distribution and your own probability assessment. Premium-selling structures (credit spreads, iron condors, cash-secured puts) profit when the implied distribution overprices tail probability relative to realized; premium-buying (debit spreads, long calls/puts, long straddles) profits in the reverse. Always pair probability-driven strategy selection with a stop loss or wing-defined risk - the implied distribution is a snapshot, and regime shifts can invalidate it intraday.

Learn how risk-neutral density is reported and how to read the data →

Frequently asked KROP probability analysis questions

What is the KROP 30-day expected price range?: As of Jul 15, 2026, with KROP at $35.00 and ATM IV at 88.0%, the implied 30-day one-standard-deviation range is approximately ±$8.83, or about $26.17 to $43.83.
What does KROP risk-neutral density tell us?: Risk-neutral density is the probability distribution of future KROP price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.
How does KROP ATM IV translate to a probability range?: ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.