thetaOwl

TSM

Taiwan Semiconductor ManufacturClose $434.99EOD only
Max Pain
$442.50
Next expiry Jun 26, 2026
Expected Move
±$9.62
2.2% from close
Price Gap
+7.51
Distance to max pain
IV Rank
17
Low premium
P/C OI
1.37
Slightly put-heavy
Consensus
7.5/10
Bearish tilt
Published snapshot: Jun 25, 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 25, 2026 close
TSM AI Consensus Report
Analysis based on market close June 26, 2026

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

Conviction
5.0

out of 10

5 not 6 because mixed signals from flow (both put and call activity) reduce confidence; bearish setup is clear but upside call activity adds uncertainty.

Where Perspectives Agree

Bearish bias with negative GEX and spot below max pain, but call accumulation at $435-437.5 suggests potential for short-term bounce.

Where They Diverge

Theta's put credit spread (bullish) contradicts directional and flow bearish verdict; flow's put dominance conflicts with significant call buying at high strikes.

Top Trade
via theta

Sell 2026-07-31 $440/$445 call spread for ~$1.20 credit

Key Risk

Break above $440 flips GEX positive and invalidates bearish thesis, triggering stop-losses that accelerate upside to $450.

How to Use These Reports
This ai consensus reflects the market close on June 26, 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.