thetaOwl

MSFT

Microsoft CorporationClose $379.40EOD only
Max Pain
$387.50
Next expiry Jun 22, 2026
Expected Move
±$6.81
1.8% from close
Price Gap
+8.10
Distance to max pain
IV Rank
100
High premium
P/C OI
0.42
Slightly call-heavy
Consensus
6.5/10
Bullish tilt
Published snapshot: Jun 18, 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 18, 2026 close
MSFT AI Consensus Report
Analysis based on market close June 18, 2026

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

Conviction
6.5

out of 10

6.5 not 7.5 because the flow data conflict (net premium sign) and spot below max pain create uncertainty; if the flow discrepancy resolves bullish (net premium turns positive), conviction would rise to 8.

Where Perspectives Agree

All four personas agree on a bullish bias for MSFT, targeting the $390-$395 range, supported by aggressive call flow and dealer short gamma potentially accelerating a breakout above $380.

Where They Diverge

Earnings perspective reports net premium negative (hedging) while flow perspective reports net premium positive (+$2.5M, bullish buying) directly contradicting the bullish thesis; also spot below max pain ($395) suggests possible pin action conflicting with directional drift.

Top Trade
via theta

Sell 2026-07-24 $365/$355 put spread for $1.80 credit — defined risk, profits from bullish drift and theta decay.

Key Risk

Break below $362 support flips dealer gamma long and triggers stop-loss cascade — downside accelerates to $350, invalidating all bullish strategies.

How to Use These Reports
This ai consensus reflects the market close on June 18, 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.