What is the SPMD 30-day expected price range?

As of May 29, 2026, with SPMD at $65.44 and ATM IV at 29.6%, the implied 30-day one-standard-deviation range is approximately ±$5.55, or about $59.89 to $70.99.

What does SPMD risk-neutral density tell us?

Risk-neutral density is the probability distribution of future SPMD 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 SPMD 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.

State Street SPDR Portfolio S&P 400 Mid Cap ETF (SPMD) 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.

State Street SPDR Portfolio S&P 400 Mid Cap ETF (SPMD) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $17.16B, listed on AMEX, carrying a beta of 1.08 to the broader market. The State Street SPDR Portfolio S&P 400 Mid Cap ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the S&P MidCap 400 Index (the "Index")A low-cost ETF that seeks to offer precise, comprehensive exposure to mid cap US equitiesThe Index is float-adjusted and market capitalization weightedOne of the low-cost core State Street SPDR Portfolio ETFs, a suite of portfolio building blocks designed to provide broad, diversified exposure to core asset classes public since 2013-07-09.

Snapshot as of May 29, 2026.

Spot Price: $65.44
ATM IV: 29.6%
IV Rank: 37.3%
IV Percentile: 72.2%
HV 20-Day: 15.1%
IV Skew 25Δ: 0.016

As of May 29, 2026, State Street SPDR Portfolio S&P 400 Mid Cap ETF (SPMD) at $65.44 has an ATM IV of 29.6%, implying a 30-day one-standard-deviation range of approximately ±$5.55. IV rank is 37.3% (near its 1-year median). IV percentile is 72.2%. The 25-delta skew is +0.016: roughly symmetric wings. 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 SPMD probability analysis Data Feeds Strategy Selection

Strategy selection on State Street SPDR Portfolio S&P 400 Mid Cap 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 29.6% 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 SPMD probability distribution

The probability cone above is the option-market-implied distribution of where State Street SPDR Portfolio S&P 400 Mid Cap 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 29.6% and spot at $65.44, the 1σ band is approximately ±10.2% over a 30-day horizon. Recent realized HV-20 of 15.1% runs 14.5 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

SPMD 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 SPMD 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 SPMD probability analysis questions

What is the SPMD 30-day expected price range?: As of May 29, 2026, with SPMD at $65.44 and ATM IV at 29.6%, the implied 30-day one-standard-deviation range is approximately ±$5.55, or about $59.89 to $70.99.
What does SPMD risk-neutral density tell us?: Risk-neutral density is the probability distribution of future SPMD 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 SPMD 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.