thetaOwl

SLV

iShares Silver TrustClose $55.73EOD only
Max Pain
$60.00
Next expiry Jun 24, 2026
Expected Move
±$1.31
2.4% from close
Price Gap
+4.27
Distance to max pain
IV Rank
12
Low premium
P/C OI
0.51
Slightly call-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 23, 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 23, 2026 close
SLV AI Consensus Report
Analysis based on market close June 24, 2026

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

Conviction
6.5

out of 10

6.5 not higher due to spot 10.7% below max pain and mixed call flow, which reduce confidence in a clean bearish pin.

Where Perspectives Agree

All personas bearish with pin to $50 support; dealer short gamma (-$52.8M) amplifies downside breaks and limits upside.

Where They Diverge

No major conflicts; theta's put credit spread opportunity is a bullish alternative but primary verdict aligns with bearish consensus.

Top Trade
via theta

Sell 2026-07-10 $55/$56.5 call spread for $0.65 credit — defined risk, profits from pin below $55, expires before next event.

Key Risk

Break above $60 resistance triggers dealer short squeeze as gamma flips positive, invalidating bearish pin and accelerating rally toward $75 call wall.

How to Use These Reports
This ai consensus reflects the market close on June 24, 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.