Strive Emerging Markets Ex-China ETF (STXE) 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.

Strive Emerging Markets Ex-China ETF (STXE) operates in the Financial Services sector, specifically the Asset Management - Global industry, with a market capitalization near $150.3M, listed on NYSE, carrying a beta of 1.30 to the broader market. This passively managed Exchange Traded Fund (ETF), known as STXE, offers investors access to the stocks of large and mid-sized companies situated in 24 emerging market nations, deliberately omitting China from its investment universe. public since 2023-01-31.

Snapshot as of Jul 15, 2026.

Spot Price
$48.61
ATM IV
34.9%
IV Rank
29.7%
IV Percentile
47.6%
HV 20-Day
63.2%
IV Skew 25Δ
0.034

As of Jul 15, 2026, Strive Emerging Markets Ex-China ETF (STXE) at $48.61 has an ATM IV of 34.9%, implying a 30-day one-standard-deviation range of approximately ±$4.86. IV rank is 29.7% (subdued, distribution priced tighter than usual). IV percentile is 47.6%. The 25-delta skew is +0.034: 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 STXE probability analysis Data Feeds Strategy Selection

Strategy selection on Strive Emerging Markets Ex-China 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 34.9% and dealer gamma exposure is negative, so dealer hedging amplifies directional moves. 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 STXE probability distribution

The probability cone above is the option-market-implied distribution of where Strive Emerging Markets Ex-China 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 34.9% and spot at $48.61, the 1σ band is approximately ±12.0% over a 30-day horizon. Recent realized HV-20 of 63.2% runs 28.3 vol points above current implied, an inverted regime where premium buyers are underpaying.

STXE 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 STXE 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. With STXE IV rank at 29.7%, the chain is pricing tighter tails than recent realized history; buyers get cheaper optionality but need a real catalyst to monetize. 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 STXE probability analysis questions

What is the STXE 30-day expected price range?
As of Jul 15, 2026, with STXE at $48.61 and ATM IV at 34.9%, the implied 30-day one-standard-deviation range is approximately ±$4.86, or about $43.75 to $53.47. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does STXE risk-neutral density tell us?
Risk-neutral density is the probability distribution of future STXE 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 STXE 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.