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TLT

iShares 20+ Year Treasury Bond ETFClose $79.42EOD only
Max Pain
$81.00
Next expiry Sep 25, 2026
Expected Move
±$0.69
0.9% from close
Price Gap
+1.58
Distance to max pain
IV Rank
67
High premium
P/C OI
0.61
Slightly call-heavy
Consensus
9.0/10
Bullish tilt
Published snapshot: Sep 24, 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
Sep 24, 2026 close
TLT AI Consensus Report
Analysis based on market close June 26, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
9.0

out of 10

9 not 10 because the binary risk of a rate surprise or VIX spike could break the pin, but all signals are strongly aligned for a drift to $87.5-$88.

Where Perspectives Agree

All personas agree on bullish pin to $86-$88, supported by $+2.1B GEX, massive call flow at 87.5, and low IV regime.

Where They Diverge

No significant conflicts; flow's downside hedges at 84/85 are minor caution, not contradicting the bullish pin thesis.

Top Trade
via theta

Sell 2026-07-17 $86/$85 put spread for $0.35 credit — defined risk, profits from pin, collects premium.

Key Risk

Break below $86 flips dealer gamma long, removing the pin and accelerating decline to $80 gamma flip level.

How to Use These Reports
This ai consensus reflects the market close on June 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.