thetaOwl

BKNG

Booking Holdings Inc. Common StClose $175.72EOD only
Max Pain
$170.00
Next expiry Jun 18, 2026
Expected Move
±$6.35
3.6% from close
Price Gap
-5.72
Distance to max pain
IV Rank
38
Middle-high premium
P/C OI
0.83
Slightly call-heavy
Consensus
5.5/10
Bullish tilt
Published snapshot: Jun 16, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 16, 2026 close
BKNG AI Consensus Report
Analysis based on market close June 17, 2026

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

Conviction
6.5

out of 10

6.5 not 7 because conflicts between bearish flow and pinning thesis lower confidence; if spot holds $170 through front-month, conviction rises to 8.

Where Perspectives Agree

Pinning at $170 with dealer gamma long $38M and high IV; all personas see near-term mean reversion around max pain.

Where They Diverge

Flow shows institutional put hedging (bearish) while dealer gamma supports pin — negative net premium contradicts bullish structure if spot breaks.

Top Trade
via directional

Sell 2026-06-26 $167.5/$170 put wing and $182.5/$185 call wing for credit

Key Risk

Break below $170 flips dealer gamma from long to short, removing pin — downside accelerates to $167.5 and potentially $162 support.

How to Use These Reports
This ai consensus reflects the market close on June 17, 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.