thetaOwl

TLT

iShares 20+ Year Treasury Bond ETFClose $86.20EOD only
Max Pain
$86.00
Next expiry Jun 24, 2026
Expected Move
±$0.33
0.4% from close
Price Gap
-0.20
Distance to max pain
IV Rank
0
Low premium
P/C OI
0.71
Slightly call-heavy
Consensus
9.0/10
Bullish tilt
Published snapshot: Jun 23, 2026 close
End-of-day snapshot

This page reflects TLT options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
Jun 23, 2026 close
TLT AI Consensus Report
Analysis based on market close June 24, 2026

Historical consensus-supported lens with full content, report chain context, and metric rail.

Conviction
9.0

out of 10

9 not 10 because while structural support is strong, a break below $86 could trigger dealer de-hedging and a hawkish Fed surprise remains a tail risk.

Where Perspectives Agree

All three personas converge on a bullish thesis for TLT with dealer gamma pinning near $86 max pain, supported by low volatility and bullish flow accumulation.

Where They Diverge

No major conflicts; all perspectives are aligned on a bullish outlook with different but complementary trade structures.

Top Trade
via theta

Sell 2026-07-17 $85.00/$83.00 put spread for $0.60 credit

Key Risk

A break below $85 invalidates the bullish pin and triggers dealer de-hedging, accelerating downside toward $80 gamma flip level.

How to Use These Reports
This ai consensus reflects the market close on June 24, 2026.
What the reports do

Each report translates the same market-close options snapshot into a specific lens such as directional bias, premium-selling posture, flow quality, or earnings setup.

How traders use them

Reports are most useful for narrowing the playbook, surfacing entry and risk context, and deciding which raw data page to inspect next.

What to remember

These are interpretation layers, not execution guarantees. Validate the setup against chain liquidity, expected move, and exposure before sizing risk.

If the report conviction and the raw data disagree, slow down and resolve the mismatch before sizing risk.