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 $39.88B, listed on NASDAQ, carrying a beta of 2.40 to the broader market. Providing exposure to long-term government debt, the iShares 20+ Year Treasury Bond ETF aims to replicate the performance of an index. public since 2002-07-30.

Snapshot as of Oct 14, 2026.

Spot Price
$78.87
ATM IV
13.8%
IV Rank
65.6%
IV Percentile
91.7%
HV 20-Day
11.3%
IV Skew 25Δ
0.010

As of Oct 14, 2026, iShares 20+ Year Treasury Bond ETF (TLT) at $78.87 has an ATM IV of 13.8%, implying a 30-day one-standard-deviation range of approximately ±$3.12. IV rank is 65.6% (near its 1-year median). IV percentile is 91.7%. The 25-delta skew is +0.010: 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 13.8% 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 13.8% and spot at $78.87, the 1σ band is approximately ±4.8% over a 30-day horizon. Recent realized HV-20 of 11.3% runs 2.5 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

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. 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)14%16%18%20%22%24%$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$85.00Nov 30, 2026169.8K2.7K15.4%$0.17$0.18
CALL$120.00Jan 21, 2028421410.4K20.0%$0.24$0.28
CALL$90.00Dec 18, 20267.9K342.2K17.8%$0.08$0.09
CALL$85.00Nov 30, 2026169.8K2.7K15.4%$0.17$0.18
CALL$95.00Jan 21, 2028232255.5K15.5%$1.06$1.08
CALL$100.00Jan 21, 20284.1K238.6K16.4%$0.74$0.75
CALL$80.00Nov 20, 202653.3K59.8K13.4%$0.85$0.86
CALL$105.00Jan 21, 20285.8K201.7K17.2%$0.50$0.58
CALL$80.00Dec 18, 202640.4K118.5K13.9%$1.26$1.28
PUT$73.00Dec 18, 20261.8K157.7K16.3%$0.33$0.35

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 Oct 14, 2026, with TLT at $78.87 and ATM IV at 13.8%, the implied 30-day one-standard-deviation range is approximately ±$3.12, or about $75.75 to $81.99.
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.