thetaOwl

SLV

iShares Silver TrustClose $51.78EOD only
Max Pain
$62.00
Next expiry Jun 26, 2026
Expected Move
±$2.05
4.0% from close
Price Gap
+10.22
Distance to max pain
IV Rank
26
Middle-high premium
P/C OI
0.51
Slightly call-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 24, 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 24, 2026 close
SLV AI Consensus Report
Analysis based on market close June 25, 2026

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

Conviction
4.0

out of 10

4 not 5 because the bearish flow signal is strong and spot is below max pain, but theta and directional agree on bullish structure; conflict reduces conviction.

Where Perspectives Agree

All personas acknowledge high volatility and dealer short gamma, but no unified directional thesis.

Where They Diverge

Directional and Theta are bullish, recommending credit spreads; Flow is bearish with heavy put buying and negative delta, directly contradicting the bullish outlook.

Top Trade
via theta

Sell 2026-07-31 $50/$45 put spread for $1.00 credit – defined risk, profits if SLV stays above $50.

Key Risk

Break below $50 flips dealer gamma long and confirms flow bearishness, accelerating decline to $45 support.

How to Use These Reports
This ai consensus reflects the market close on June 25, 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.