thetaOwl

PLTR

Palantir Technologies Inc.Close $130.05EOD only
Max Pain
$138.00
Next expiry May 15, 2026
Expected Move
±$4.47
3.4% from close
Price Gap
+7.95
Distance to max pain
IV Rank
52
Middle-high premium
P/C OI
0.97
Balanced positioning
Consensus
6.5/10
Bullish tilt
Published snapshot: May 13, 2026 close
End-of-day snapshot

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

Published Snapshot
May 13, 2026 close
PLTR AI Consensus Report
Analysis based on market close May 14, 2026

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

Conviction
8.5

out of 10

8.5 not 9 or 10 because earnings horizon and high vol regime introduce uncertainty; if near-term pin holds, conviction rises.

Where Perspectives Agree

All personas agree on bullish pin to $137, supported by dealer gamma, positive flow, and high IV premium for selling.

Where They Diverge

Earnings perspective notes long time to expiry (81d) reduces near-term edge, but directional and flow see short-term upside within 2 days — no fundamental conflict.

Top Trade
via directional

Buy 2026-05-29 $135/$142 bull call spread for $2.10 debit — benefits from pin to $137 with defined risk.

Key Risk

Break below $130 invalidates bullish pin — flips dealer gamma long, accelerating decline to $126 support.

How to Use These Reports
This ai consensus reflects the market close on May 14, 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.