thetaOwl

TSM

Taiwan Semiconductor ManufacturClose $423.93EOD only
Max Pain
$380.00
Next expiry Jun 18, 2026
Expected Move
±$19.50
4.6% from close
Price Gap
-43.93
Distance to max pain
IV Rank
62
High premium
P/C OI
1.45
Slightly put-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 12, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 12, 2026 close
TSM AI Consensus Report
Analysis based on market close June 15, 2026

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

Conviction
7.5

out of 10

7.5 not 8.5 because spot far above max pain reduces pinning efficacy and high IV adds gamma risk, though GEX and flow alignment still strong.

Where Perspectives Agree

Bullish drift to $440-$490 with dealer gamma pinning and institutional call accumulation supporting, despite spot above max pain.

Where They Diverge

Theta's short put spread recommendation is consistent with bullish view; no direct conflicts among personas.

Top Trade
via directional

Buy 2026-07-17 $440/$490 bull call spread for net debit ~$21 (approx.) – directional bullish with defined risk.

Key Risk

Break below $400 flips dealer gamma to short, accelerating decline toward $380 max pain and invalidating bullish pin thesis.

How to Use These Reports
This ai consensus reflects the market close on June 15, 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.