thetaOwl

BABA

Alibaba Group Holding LimitedClose $110.97EOD only
Max Pain
$125.00
Next expiry Jun 18, 2026
Expected Move
±$3.05
2.8% from close
Price Gap
+14.03
Distance to max pain
IV Rank
100
High premium
P/C OI
0.59
Slightly call-heavy
Consensus
6.0/10
Bullish tilt
Published snapshot: Jun 16, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 16, 2026 close
BABA AI Consensus Report
Analysis based on market close June 17, 2026

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

Conviction
6.0

out of 10

6 not 7 because theta's bullish trade conflicts with bearish consensus from flow and directional, reducing signal alignment; if support holds, conviction could rise to 7.

Where Perspectives Agree

Heavy put flow, negative GEX, and spot below max pain create bearish bias with downside risk to $104 support.

Where They Diverge

Theta's put credit spread (bullish) directly contradicts bearish flow and directional call credit spread; high put IV suggests fear but could be hedging, not directional.

Top Trade
via directional

Sell 2026-08-21 $120/$135 call spread for $5.10 credit — bearish defined risk, profits from downside or range-bound weakness.

Key Risk

Break below $104 support invalidates the range-bound thesis, accelerating decline toward $90 as dealer gamma flips negative and put hedging unwinds.

How to Use These Reports
This ai consensus reflects the market close on June 17, 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.