thetaOwl

SLV

iShares Silver TrustClose $58.91EOD only
Max Pain
$61.00
Next expiry Jun 24, 2026
Expected Move
±$1.60
2.7% from close
Price Gap
+2.09
Distance to max pain
IV Rank
4
Low premium
P/C OI
0.52
Slightly call-heavy
Consensus
4.5/10
Downside lean
Published snapshot: Jun 22, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 22, 2026 close
SLV AI Consensus Report
Analysis based on market close June 23, 2026

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

Conviction
6.5

out of 10

6.5 not higher because the wait signal from theta dampens urgency despite two bearish alignments; if spot breaks $50, conviction rises to 8.

Where Perspectives Agree

Bearish bias with downside acceleration risk from negative dealer gamma and institutional put accumulation.

Where They Diverge

Theta's wait stance conflicts because high IV and potential pin action near max pain could trigger reversal, undermining bearish directional entries now.

Top Trade
via directional

Buy 2026-07-24 $53.50/$50.00 bear put spread for $1.20 debit.

Key Risk

Spot rallies above $60 (max pain/MP) flips GEX positive and invalidates bearish thesis, triggering short covering.

How to Use These Reports
This ai consensus reflects the market close on June 23, 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.