thetaOwl

TLT

iShares 20+ Year Treasury Bond ETFClose $84.68EOD only
Max Pain
$83.50
Next expiry May 27, 2026
Expected Move
±$0.75
0.9% from close
Price Gap
-1.18
Distance to max pain
IV Rank
24
Low premium
P/C OI
0.76
Slightly call-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: May 22, 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
May 22, 2026 close
TLT AI Consensus Report
Analysis based on market close May 26, 2026

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

Conviction
7.5

out of 10

7.5 not 8.5 because theta's moderate confidence and the pin near $84 cap conviction despite overwhelming flow and GEX support.

Where Perspectives Agree

Bullish bias to $86 supported by strong institutional flow and dealer gamma pinning near $84, with low vol environment favorable for upside.

Where They Diverge

Theta's lower conviction (5/10 vs 9/10) and preference for defined-risk spreads suggests limited upside beyond $86, conflicting with directional's more aggressive long call recommendation.

Top Trade
via theta

Buy 2026-06-26 $85.00/$86.50 call spread for $0.85 debit

Key Risk

Break below $84 invalidates bullish pin and triggers dealer gamma flip, accelerating downside to $80 support.

How to Use These Reports
This ai consensus reflects the market close on May 26, 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.