thetaOwl

MSTR

Strategy IncClose $112.53EOD only
Max Pain
$126.00
Next expiry Jun 26, 2026
Expected Move
±$10.33
9.2% from close
Price Gap
+13.47
Distance to max pain
IV Rank
100
High premium
P/C OI
0.96
Balanced positioning
Consensus
6.5/10
Bullish tilt
Published snapshot: Jun 18, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 18, 2026 close
MSTR AI Consensus Report
Analysis based on market close June 18, 2026

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

Conviction
6.5

out of 10

6.5 not 7.5 because earnings bearishness and negative gamma create headwinds to the pin; not lower because aggressive call buying and GEX/flow alignment provide near-term bullish momentum.

Where Perspectives Agree

Bullish pin to $123 max pain is dominant theme across all personas, supported by aggressive call flow, high IV, and GEX/flow alignment, though spot 8.5% below MP and negative dealer gamma add risk.

Where They Diverge

Earnings persona's low beat rate (20%) and spot below max pain suggest downside risk, directly conflicting with bullish flow and directional pin thesis. Theta's neutral cover call provides partial hedge but no clear resolution.

Top Trade
via directional

Sell 2026-07-24 $100/$95 put spread for $1.20 credit

Key Risk

Break below $100 support flips dealer gamma long and triggers stop-loss cascade, accelerating decline to $95 gap fill.

How to Use These Reports
This ai consensus reflects the market close on June 18, 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.