thetaOwl

SOFI

SoFi Technologies, Inc.Close $17.29EOD only
Max Pain
$17.00
Next expiry Jun 26, 2026
Expected Move
±$0.85
5.0% from close
Price Gap
-0.29
Distance to max pain
IV Rank
0
Low premium
P/C OI
0.50
Slightly call-heavy
Consensus
8.0/10
Bullish tilt
Published snapshot: Jun 23, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 23, 2026 close
SOFI AI Consensus Report
Analysis based on market close June 24, 2026

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

Conviction
8.5

out of 10

8.5 not 9.5 due to potential $18 resistance from put hedging; not 7.5 because GEX, flow, and IV environment strongly align on bullish drift.

Where Perspectives Agree

All personas agree on bullish bias with dealer gamma pinning near $17-$18, supported by positive flow and high IV.

Where They Diverge

Earnings perspective notes unusual put hedging at $18 that may cap upside, conflicting with directional's pure bullish continuation thesis.

Top Trade
via theta

Sell 2026-07-31 $15.00/$14.00 put spread for $0.65 credit — defined risk, profits from pin, avoids earnings.

Key Risk

Break below $15 flips dealer gamma long, invalidating pin and triggering stop-losses — downside accelerates to $14.20 support.

How to Use These Reports
This ai consensus reflects the market close on June 24, 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.