thetaOwl

FXI

iShares China Large-Cap ETFClose $34.46EOD only
Max Pain
$33.50
Next expiry Jul 24, 2026
Expected Move
±$0.41
1.2% from close
Price Gap
-0.96
Distance to max pain
IV Rank
8
Low premium
P/C OI
0.85
Slightly call-heavy
Consensus
7.5/10
Bearish tilt
Published snapshot: Jul 23, 2026 close
End-of-day snapshot

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

Published Snapshot
Jul 23, 2026 close
FXI AI Consensus Report
Analysis based on market close June 8, 2026

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

You are viewing an older report from June 8, 2026. A newer ai consensus report is available for June 26, 2026.

View latest report
Conviction
7.0

out of 10

7 not 8 because theta's bullish strategy undermines conviction; if theta aligned, score would be 8+.

Where Perspectives Agree

Bearish bias with dealer short gamma and persistent put flow pinning price near $35, reinforcing downside drift.

Where They Diverge

Theta's put credit spread implies bullish bias, directly contradicting directional and flow bearish signals.

Top Trade
via directional

Buy 2026-07-02 $34.00/$33.50 bear put spread for $0.25 debit.

Key Risk

Break below $32 triggers gamma flip to long, removing downside momentum and accelerating to $30 support.

How to Use These Reports
This ai consensus reflects the market close on June 8, 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.