thetaOwl

MSFT

Microsoft CorporationClose $421.06EOD only
Max Pain
$415.00
Next expiry May 22, 2026
Expected Move
±$8.28
2.0% from close
Price Gap
-6.06
Distance to max pain
IV Rank
14
Low premium
P/C OI
0.46
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: May 20, 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
May 20, 2026 close
MSFT AI Consensus Report
Analysis based on market close May 20, 2026

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

Conviction
8.5

out of 10

8.5 not 9 because the call wall at $450-$625 caps upside and earnings distance adds uncertainty; alignment is strong but not flawless.

Where Perspectives Agree

All personas converge on bullish pin to $420 with dealer gamma support, heavy institutional call flow, and low VIX favoring drift higher.

Where They Diverge

Earnings contango contradicts near-term pinning thesis if the market starts pricing post-event risk, but 70 days out this conflict is muted.

Top Trade
via theta

Sell 2026-06-18 $395/$380 put spread for $1.20 credit — defined risk, profits from pin, high probability.

Key Risk

Break below $400 invalidates the bullish structure, flipping dealer gamma negative and accelerating downside to $380.

How to Use These Reports
This ai consensus reflects the market close on May 20, 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.