thetaOwl

NOW

ServiceNow, Inc.Close $102.15EOD only
Max Pain
$108.00
Next expiry Jun 18, 2026
Expected Move
±$6.43
6.3% from close
Price Gap
+5.85
Distance to max pain
IV Rank
90
High premium
P/C OI
0.82
Slightly call-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 12, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 12, 2026 close
NOW AI Consensus Report
Analysis based on market close June 12, 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 bullish call activity in earnings and historical beat rate introduce upside risk that undercuts the bearish flow signal; if spot breaks below $92, conviction would rise to 8.

Where Perspectives Agree

Bearish bias with dealer short gamma amplification; spot below max pain and elevated IV support defined-risk bearish positioning.

Where They Diverge

Earnings persona recommends bullish call diagonals despite flow showing heavy put buying and net premium negative — directly contradicts the bearish thesis from flow and directional.

Top Trade
via directional

Buy 2026-07-24 $95/$85 put spread for $2.10 debit — targets downside to $95.73 support with defined risk.

Key Risk

Break above $108 (max pain) triggers dealer gamma flip and rally to $112; break below $92.55 accelerates downside to $85.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.