thetaOwl

MSFT

Microsoft CorporationClose $427.34EOD only
Max Pain
$430.00
Next expiry Jun 5, 2026
Expected Move
±$9.68
2.3% from close
Price Gap
+2.66
Distance to max pain
IV Rank
51
Middle-high premium
P/C OI
0.45
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: Jun 3, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 3, 2026 close
MSFT AI Consensus Report
Analysis based on market close June 4, 2026

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

Conviction
8.5

out of 10

8.5 not 9.0 because near-term call OI cap at $450 and earnings IV crush risk slightly temper the upside, but the alignment across all signals is rare.

Where Perspectives Agree

All personas align on a bullish bias with pinning near $430 max pain, supported by positive dealer gamma, heavy institutional call flow, and low volatility.

Where They Diverge

No significant conflicts; the only nuance is the call wall at $450+ from theta vs. aggressive call buying at $430 from flow, but both imply upside cap near $450.

Top Trade
via earnings

Buy 2026-08-21 $430/$450 bull call spread for $8.00 debit

Key Risk

Break below $408 support flips dealer gamma long and removes the pin, triggering a slide to $395.

How to Use These Reports
This ai consensus reflects the market close on June 4, 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.