bull

SPY/QQQ Intraday Focus
Options Flow + Macro
Earnings & Institutional Positioning
Building discipline in public

[bull @pm07291]

$spcx…..generation of bag holders.

$tsla $spy $qqq

[FinancialJuice @financialjuice]

Fed's Chair Warsh: We need to make sure changes in oil, eggs, beef, etc don't broaden in the economy.

[bull @pm07291]

$tsla feeding $spcx

[bull @pm07291]

$RKLB — best space stock.
$200M Q1 revenue (+63% YoY) | $2.2B backlog | 31 launch contracts in one quarter | $190M DoD deal | Neutron Q4 | Nasdaq-100 June 22
While others talk space, $RKLB executes. 🚀
#RKLB #Nasdaq100

[bull @pm07291]

People are making money in Semis, DC and memory supercycles and me stupid invested in $OPEN. My generations will never forgive me.

[bull @pm07291]

@financialjuice

[bull @pm07291]

$spy to $670 by next Friday.

$qqq $tsla

[bull @pm07291]

$nvo

[bull @pm07291]

Well that was not a great open to Sunday night session. Looks like Tariff and Iran weighing on traders mind. Risk off is the theme. $SPY, $QQQ, $NVDA, $MU

[bull @pm07291]

@Timur_Yessenov Appreciate the insight 🙏
Excited to plug in live data and see how it holds up.

[bull @pm07291]

AI is changing the game.
I am not a developer.Built my own Trading Dashbaord in < 24 hours.
$20/month.
No expensive data terminal
No coding backgroud.
Just AI+ Execution
Next steps : hook it up to real time data and train a bot to trade while I am commuting!
#ClaudeCowork

$SPY $TSLA $NVDA $QQQ

[bull @pm07291]

🧠 Sunday Prep: Understanding Call & Put Walls ($SPY / $QQQ)

Most traders draw random support & resistance.

Institutions don’t.

They look at options positioning.

Here’s how to identify real structural levels before the week starts:

🎯 Call Wall
→ Strike with the highest call open interest
→ Often acts as resistance
→ Dealers hedge by selling into strength

🛡 Put Wall
→ Strike with the highest put open interest
→ Often acts as support
→ Dealers hedge by buying into weakness

How to find them:

1️⃣ Open the options chain for $SPY or $QQQ
2️⃣ Sort by Open Interest
3️⃣ Highest call OI = Call Wall
4️⃣ Highest put OI = Put Wall

What this means for the week:

• Price tends to gravitate toward large OI strikes
• Break & hold above call wall = expansion potential
• Lose put wall = downside acceleration
• Pin between both = chop

Before Monday open, mark:
✔ Call wall
✔ Put wall
✔ VWAP
✔ Prior day high/low

Trade reaction — not prediction.

[bull @pm07291]

Trading is a performance sport.

There’s no applause for good risk management.
No sympathy for poor execution.
The P&amp;L is neutral.
It simply reflects your decisions.

You’re competing against your own habits.
$SPY $QQQ

[bull @pm07291]

@MrMikeInvesting $AMZN needs to clear last week's high with volume, $230 becomes magnet. Otherwise this could stay rangebound while robots narrative gets priced in.

[bull @pm07291]

$IREN Deep Dive 👇

→ What it does: Owns power-dense data centers. Historically #Bitcoin mining. Now pivoting hard into AI GPU compute.

→ Recent catalyst: Large AI contract (Microsoft-linked headline), multi-GW campus expansion. AI narrative = re-rating driver.

→ Earnings: $184M rev, still posting net loss. AI growing fast but still small vs mining. Volatile story.

→ Institutions: Heavy quant / hedge fund participation. Not all “long-term conviction” — a lot is trading flow.

→ CEO comp: Equity-heavy, aggressive. Big upside alignment, but dilution risk always watch.

🎯 My Take: Hybrid crypto + AI infrastructure bet. If AI contracts scale faster than mining cyclicality hurts — upside. If not, expect volatility.

High risk. High beta. High narrative.

$BTC $NVDA

[bull @pm07291]

$DPZ earnings Monday 🍕

Stock: $384
Street PT: $481 avg (+25%)
Range: $340 – $597
What matters:
• US same-store sales (traffic vs pricing)
• International growth (FX impact?)
• Margin resilience (cheese + labor costs)
• Digital / loyalty engagement trends
• Guidance tone into 2026

This name isn’t cheap — it trades on execution + consistency.
If comps wobble, multiple compresses fast.

Earnings reaction map:
$597 (Blue sky beat + guide raise)
/
/
$481 ----/---- (Street avg target)
/
/
$384 * (Current)
\
\
\____ $340 (Miss + weak comps)
📌 My view:
• Big beat = squeeze toward 420–440 quickly
• Inline = chop, focus shifts to macro/consumer
• Miss = 350s come fast
Domino’s is a quality compounder — but into earnings, it’s about expectations vs delivery.
Watching closely Monday. 👀
$SPY $QQQ

[bull @pm07291]

1) Cybersecurity stocks like $CRWD $ZS $OKTA $NET $PANW dipped yesterday on AI disruption fears.

Before reacting to the tape, it’s worth asking:

What does this actually mean for a CISO or CIO?

That’s what ultimately drives budgets.

2) The trigger was AI being used to scan code and suggest security fixes.

From a Wall Street lens:
“AI replaces security vendors.”
From an enterprise lens?
That’s a workflow enhancement — not a category collapse.

3) A CISO isn’t asking:
“Can AI suggest a patch?”
They’re asking:

– Is it auditable?
– Is it compliant?
– Does it integrate with my SIEM/SOAR?
– Who carries liability?
– Does it lower breach probability?
That’s where vendors like $PANW and $CRWD still matter.

4) Application security is only one slice of the stack.

It doesn’t replace:
– Endpoint detection ($CRWD)
– Zero trust + network security ($ZS)
– Identity governance ($OKTA)
– Edge + runtime protection ($NET)
Different layers. Different risk domains.

5) If anything, AI-generated code could expand attack surfaces.
More automation → more software shipped → more vulnerabilities.

CISOs respond by strengthening:

– telemetry
– runtime monitoring
– identity controls
– cloud posture

That supports scaled platforms.

6) The bigger shift isn’t “AI kills cyber.”
It’s tool consolidation.
CISOs are exhausted managing 40–60 vendors.
If AI compresses point solutions,
budget shifts toward platforms with breadth and integration.

That arguably benefits names like $PANW and $CRWD more than niche players.

7) From a CIO’s perspective, the math is simple:

Does AI reduce SOC costs?
Does it shorten remediation time?
Does it lower insurance premiums?

If yes — it gets adopted.

But usually through existing vendors, not wholesale replacement.
8) Security contracts are multi-year.
Vendor switches are painful.
Trust takes years to build.
This isn’t a “churn tomorrow” scenario.
Markets repriced fear in one session.
Enterprise budgets move slower.

9) The real pressure will be on:

Single-feature AppSec tools without deep integration.

Platforms that embed AI into existing contracts can defend pricing.

AI becomes a feature — not a disruptor overnight.

10) My takeaway:
Yesterday looked narrative-driven.

The real impact shows up over the next 12–24 months via:

– Bundling
– Consolidation
– AI add-ons inside $CRWD $PANW $ZS ecosystems

Watch positioning. Not just headlines.

[bull @pm07291]

🚨 $CIFR reports Q4 earnings Feb 24
What to watch:
→ Revenue est. $77.86M (+84% YoY)
→ AWS 15-yr lease ($5.5B contract)
→ HPC pivot progress
→ Beat 4 straight quarters by avg 62%
Street expects a loss. They keep proving the street wrong 👀
Not financial advice.

[bull @pm07291]

@Nugget_Trades @nejatian @Stocktwits Get somebody who is more aggressive!! This dude got lucky with previous company and trying his luck again. $open

[bull @pm07291]

$open stock hodlr here. After watching yesterday’s Erne call &amp; price action today, I believe this will be a slow grinding story. Nothing much is going except for writing new code.Macros are against the company and everything looks gimmicky. I will hodl the stok for brk even.