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MSTR

Strategy IncClose $164.85EOD only

Max Pain

$170.00

Next expiry May 22, 2026

Expected Move

±$4.73

2.9% from close

Price Gap

+5.15

Distance to max pain

IV Rank

Middle-high premium

P/C OI

0.90

Slightly call-heavy

Consensus

5.5/10

Range bias

Published snapshot: May 21, 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 21, 2026 close

MSTR AI Consensus Report

Analysis based on market close May 21, 2026

Directional Theta Gang Flow Earnings Consensus

Consensus-supported lens with chain history and key metrics in the rail.

Conviction

5.5

out of 10

5.5 not 7 because conflicting flow (bullish calls vs bearish premium) and low historical beat rate cap conviction; would increase to 6.5 if spot holds above $160 and call OI grows.

Where Perspectives Agree

All personas converge on dealer gamma pinning near $170 max pain, with high IV and mixed flow suggesting short-term price consolidation around this level.

Where They Diverge

Earnings low beat rate (20%) and net negative premium (-$60M) imply bearish risk, directly conflicting with heavy call buying at $170-$177.5 from flow and directional bullish bias.

Top Trade

via theta

Sell 2026-06-12 $155/$152.50 put credit spread for $0.85 credit — benefits from pinning and theta decay.

Key Risk

Break below $160.12 (directional lower guardrail) flips dealer gamma long, triggering stop-loss cascade and accelerating decline to $150.

How to Use These Reports

This ai consensus reflects the market close on May 21, 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.