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MSTR

Strategy IncClose $184.42EOD only

Max Pain

$170.00

Next expiry May 15, 2026

Expected Move

±$10.10

5.5% from close

Price Gap

-14.42

Distance to max pain

IV Rank

Middle-high premium

P/C OI

0.87

Slightly call-heavy

Consensus

5.5/10

Consensus signal

Published snapshot: May 12, 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

May 12, 2026 close

MSTR AI Consensus Report

Analysis based on market close May 13, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

5.5

out of 10

5.5 not 6.5 due to flow's bearish premium signal and earnings risk despite GEX and IV support.

Where Perspectives Agree

All perspectives converge on a pinning environment near $170 with high IV, but flow's negative net premium tempers bullish conviction.

Where They Diverge

Flow's negative net premium (-$112M) and deep OTM put hedging contradict directional bullish continuation above $170. Earnings low beat rate (20%) adds uncertainty to call-buying thesis.

Top Trade

via theta

Sell 2026-06-18 $170/$168 put spread for $0.85 credit

Key Risk

Break below $170 flips dealer gamma and removes pin support, accelerating to $168 and below.

How to Use These Reports

This ai consensus reflects the market close on May 13, 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.