ProShares - UltraShort Bloomberg Natural Gas (KOLD) 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.
ProShares - UltraShort Bloomberg Natural Gas (KOLD) operates in the Financial Services sector, specifically the Asset Management - Leveraged industry, with a market capitalization near $106.3M, listed on AMEX, carrying a beta of -3.29 to the broader market. The ProShares UltraShort Bloomberg Natural Gas ETF is structured to deliver daily returns that are two times the inverse (-2x) of the daily performance of the Bloomberg Natural Gas SubindexSM, excluding any associated fees or operating expenses. public since 2011-10-06.
Snapshot as of Oct 13, 2026.
- Spot Price
- $23.86
- ATM IV
- 86.1%
- IV Rank
- 24.0%
- IV Percentile
- 50.4%
- HV 20-Day
- 95.6%
- IV Skew 25Δ
- 0.174
As of Oct 13, 2026, ProShares - UltraShort Bloomberg Natural Gas (KOLD) at $23.86 has an ATM IV of 86.1%, implying a 30-day one-standard-deviation range of approximately ±$5.89. IV rank is 24.0% (subdued, distribution priced tighter than usual). IV percentile is 50.4%. The 25-delta skew is +0.174: 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 KOLD probability analysis Data Feeds Strategy Selection
Strategy selection on ProShares - UltraShort Bloomberg Natural Gas 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 86.1% 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 KOLD probability distribution
The probability cone above is the option-market-implied distribution of where ProShares - UltraShort Bloomberg Natural Gas 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 86.1% and spot at $23.86, the 1σ band is approximately ±29.7% over a 30-day horizon. Recent realized HV-20 of 95.6% runs 9.5 vol points above current implied, an inverted regime where premium buyers are underpaying.
KOLD 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 KOLD 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 KOLD IV rank at 24.0%, 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 KOLD probability analysis questions
- What is the KOLD 30-day expected price range?
- As of Oct 13, 2026, with KOLD at $23.86 and ATM IV at 86.1%, the implied 30-day one-standard-deviation range is approximately ±$5.89, or about $17.97 to $29.75. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does KOLD risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future KOLD 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 KOLD 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.