thetaOwl

MSTR

Strategy IncClose $120.44EOD only
Max Pain
$136.00
Next expiry Jun 12, 2026
Expected Move
±$12.75
10.6% from close
Price Gap
+15.56
Distance to max pain
IV Rank
94
High premium
P/C OI
0.96
Balanced positioning
Consensus
7.0/10
Bearish tilt
Published snapshot: Jun 5, 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 5, 2026 close
MSTR AI Consensus Report
Analysis based on market close June 8, 2026

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

Conviction
6.0

out of 10

6 not higher because the Theta persona's bearish stance and the earnings event in 52 days introduce uncertainty that tempers the otherwise strong flow and directional support.

Where Perspectives Agree

Bullish pin to $125 with dealer gamma support and institutional call buying reinforcing the range-bound thesis.

Where They Diverge

Theta's bear call spread above $136 implies capped upside, contradicting Flow's aggressive Aug $125 call accumulation and Earnings' bullish positioning for upside momentum.

Top Trade
via directional

Sell 2026-08-21 $125/$120 put spread for $3.00 credit

Key Risk

Break below $120 flips dealer gamma from long to short, triggering a hedging cascade that accelerates downside to $109.72 support.

How to Use These Reports
This ai consensus reflects the market close on June 8, 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.