thetaOwl

WULF

TeraWulf Inc.Close $26.06EOD only
Max Pain
$18.00
Next expiry Jun 18, 2026
Expected Move
±$2.49
9.5% from close
Price Gap
-8.06
Distance to max pain
IV Rank
65
High premium
P/C OI
0.38
Slightly call-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: Jun 12, 2026 close
End-of-day snapshot

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

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

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

Conviction
7.0

out of 10

7 not 8 because the conflict between directional pin reversion and flow continuation reduces conviction, and earnings low beat rate adds uncertainty; but strong alignment on core bullish bias prevents lower score.

Where Perspectives Agree

Bullish pin to $24 — positive flow, GEX support, and theta-rich premium selling all reinforce the thesis.

Where They Diverge

Directional expects reversion from above-MP price down to $24, while flow sees sustained above MP as bullish, creating a conflict on whether price will pin or drift away.

Top Trade
via directional

Sell 2026-08-21 $24/$23 put spread for $0.45 credit.

Key Risk

Break below $24 flips dealer gamma long, removing the pin — accelerates to support at $22.13.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.