thetaOwl

SOFI

SoFi Technologies, Inc.Close $15.69EOD only
Max Pain
$15.50
Next expiry May 22, 2026
Expected Move
±$0.59
3.8% from close
Price Gap
-0.19
Distance to max pain
IV Rank
38
Middle-high premium
P/C OI
0.52
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: May 20, 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
May 20, 2026 close
SOFI AI Consensus Report
Analysis based on market close May 20, 2026

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

Conviction
8.5

out of 10

8.5 not 10 because earnings in 9 days is a binary catalyst that could break the pin, but current positioning and high confidence across all personas justify a high score.

Where Perspectives Agree

All personas align on bullish pin to $16 supported by strong GEX ($56.9M), positive flow, and spot above max pain.

Where They Diverge

Earnings event in 9 days introduces binary risk, but flow and GEX dominance support the pin; theta's defined-risk income structures align with directional rather than conflicting.

Top Trade
via directional

Buy 2026-06-12 $16/$17 call spread for $0.45 debit

Key Risk

Break below $15 flips dealer gamma long, removing pin support and accelerating downside toward $14.20.

How to Use These Reports
This ai consensus reflects the market close on May 20, 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.