thetaOwl

USO

United States Oil FundClose $125.43EOD only
Max Pain
$134.00
Next expiry Jun 17, 2026
Expected Move
±$5.96
4.8% from close
Price Gap
+8.57
Distance to max pain
IV Rank
14
Low premium
P/C OI
1.65
Slightly put-heavy
Consensus
7.0/10
Bearish tilt
Published snapshot: Jun 12, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 12, 2026 close
USO 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
7.0

out of 10

7 not 8 because theta's short put spread adds a conflicting signal that questions the depth of the move; also earnings not a factor to reduce score further.

Where Perspectives Agree

Bearish bias with dealer short-gamma amplifying downside — GEX negative, flow bearish, and IV high support continued decline.

Where They Diverge

Theta's put credit spread ($120/$116) expects a floor near $116, contradicting directional/flow which anticipate further downside below $119.

Top Trade
via directional

Bear Put Spread $125/$120 for 2026-07-02 — buy $125 put, sell $120 put for net debit ~$2.50

Key Risk

Break below $119 (1w support) triggers dealer gamma acceleration, driving spot to $115 then gamma flip at $100.

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.