iShares 20+ Year Treasury Bond ETF (TLT) 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.

iShares 20+ Year Treasury Bond ETF (TLT) operates in the Financial Services sector, specifically the Asset Management - Bonds industry, with a market capitalization near $43.18B, listed on NASDAQ, carrying a beta of 2.37 to the broader market. The iShares 20+ Year Treasury Bond ETF seeks to track the investment results of an index composed of U. public since 2002-07-30.

Snapshot as of May 29, 2026.

Spot Price
$85.56
ATM IV
9.3%
IV Rank
3.7%
IV Percentile
3.6%
HV 20-Day
11.8%
IV Skew 25Δ
0.009

As of May 29, 2026, iShares 20+ Year Treasury Bond ETF (TLT) at $85.56 has an ATM IV of 9.3%, implying a 30-day one-standard-deviation range of approximately ±$2.28. IV rank is 3.7% (subdued, distribution priced tighter than usual). IV percentile is 3.6%. The 25-delta skew is +0.009: 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 TLT probability analysis Data Feeds Strategy Selection

Strategy selection on iShares 20+ Year Treasury Bond 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 9.3% 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 TLT probability distribution

The probability cone above is the option-market-implied distribution of where iShares 20+ Year Treasury Bond 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 9.3% and spot at $85.56, the 1σ band is approximately ±3.2% over a 30-day horizon. Recent realized HV-20 of 11.8% runs 2.6 vol points above current implied, an inverted regime where premium buyers are underpaying.

TLT 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 TLT 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 TLT IV rank at 3.7%, 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 →

TLT implied volatility by strike, top contracts ranked by IV in the nightly options scanTLT Implied Volatility Skew (Top Contracts)10%12%14%16%$70$80$90$100$110$120Strike ($)Implied VolatilityCall IVPut IV
Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

TLT highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
CALL$105.00Jan 21, 20281.6K171.2K14.5%$1.05$1.10
CALL$120.00Jan 21, 20281.7K163.9K17.2%$0.46$0.49
CALL$86.00Jun 18, 20264.7K89.0K9.4%$0.48$0.50
PUT$85.00Jun 18, 202618.7K78.2K9.7%$0.58$0.60
PUT$85.00Jun 18, 202618.7K78.2K9.7%$0.58$0.60
CALL$110.00Jan 15, 20273.0K136.8K17.1%$0.14$0.15
CALL$100.00Jan 15, 2027783126.7K13.5%$0.28$0.29
PUT$70.00Jan 21, 202816.9K17.0K14.1%$0.88$0.97
CALL$85.00Jun 1, 202616.4K7.2K8.9%$0.55$0.59
PUT$86.00Jun 3, 20262.8K2008.1%$0.80$0.85

Top 10 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked TLT probability analysis questions

What is the TLT 30-day expected price range?
As of May 29, 2026, with TLT at $85.56 and ATM IV at 9.3%, the implied 30-day one-standard-deviation range is approximately ±$2.28, or about $83.28 to $87.84. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does TLT risk-neutral density tell us?
Risk-neutral density is the probability distribution of future TLT 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 TLT 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.