Direxion Daily Pharmaceutical & Medical Bull 3X ETF (PILL) 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.
Direxion Daily Pharmaceutical & Medical Bull 3X ETF (PILL) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $39.3M, listed on AMEX, employing roughly 39 people, carrying a beta of 1.89 to the broader market. PILL seeks to deliver investment results of 3x the daily performance of the S&P Pharmaceuticals Select Industry Index, a modified equal-weighted index that measures the performance of pharmaceutical companies, as defined by GICS, on the S&P Total Market Index. Led by Michael Davidson, public since 2017-11-15.
Snapshot as of Jul 15, 2026.
- Spot Price
- $18.77
- ATM IV
- 70.1%
- IV Rank
- 7.3%
- IV Percentile
- 45.2%
- HV 20-Day
- 77.4%
- IV Skew 25Δ
- 0.125
As of Jul 15, 2026, Direxion Daily Pharmaceutical & Medical Bull 3X ETF (PILL) at $18.77 has an ATM IV of 70.1%, implying a 30-day one-standard-deviation range of approximately ±$3.77. IV rank is 7.3% (subdued, distribution priced tighter than usual). IV percentile is 45.2%. The 25-delta skew is +0.125: 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 PILL probability analysis Data Feeds Strategy Selection
Strategy selection on Direxion Daily Pharmaceutical & Medical Bull 3X 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 70.1% 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 PILL probability distribution
The probability cone above is the option-market-implied distribution of where Direxion Daily Pharmaceutical & Medical Bull 3X 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 70.1% and spot at $18.77, the 1σ band is approximately ±24.2% over a 30-day horizon. Recent realized HV-20 of 77.4% runs 7.3 vol points above current implied, an inverted regime where premium buyers are underpaying.
PILL 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 PILL 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 PILL IV rank at 7.3%, 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 PILL probability analysis questions
- What is the PILL 30-day expected price range?
- As of Jul 15, 2026, with PILL at $18.77 and ATM IV at 70.1%, the implied 30-day one-standard-deviation range is approximately ±$3.77, or about $15.00 to $22.54. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does PILL risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future PILL 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 PILL 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.