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Thy VuProfile picture@corgi4mvp·5d

October 27 Tuesday: MRNA went ham


$META 10.28 $610 Put 1.95 : 2.40 💵 20%

$SPY 767 Put .87 : 2.10 💵 140%

$SPY 764 Put .55 : .74 💵 35%

$MRNA 11.20 $220 Call 7.50 : 14 💵 100%

$MRNA 11.20 $300 Call .60 : 1.8 💵 200%

$MRNA 10.30 $200 Call 3.80 : 13+ 💵 240%

$SPY 766 PUT .64 : .20 🩸 70% (Said to cut at .40)

$AAPL 10.28 $350 call .45 : 1+ 💵 100%

$NVDA 10.30 $215 Put 2.02 : 1.78 🩸 12%

$TSLA 10.28 $395 Put 1.84 : .90 🩸 50% (hit 2.10 💵 never took profit)

$SPY 770 Put .61 : 1.25 💵 100%

$SPX 7700 Put 1.30 : 2.10 💵 60% (2.60 100%)

$META 10.30 $670 Call .81 : .60 🩸 25%

$SPY 769 Call .78 : 1.90 💵 150%

$SPX 7730 call 1.70 : 6 💵 350%

$SPX 7725 Call 1.50 : 10 💵 550% (max 12)

$SPX 7730 Put 1.7 : 4+ 💵 150% (max 7) @everyone


$NBIS 10.30 $190 Call 1.35 (holding 2 cons)

$AAOI 10.30 $80 Call 1.90 (Holding 1 con)

$DELL 11.06 $600 call 1.90 (Holding overnight)

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Trader JoeProfile picture@trader-joe·6d

Sometimes the market gives you more than you bargained for.

$SPY was riding the 9 EMA until it finally broke. I took a quick put scalp, expecting my usual 10–20% pop.

Instead, $SPY kept dropping, slicing through VWAP and beyond.


The lesson?


Take the damn trade. Manage your risk. And let your runners RUN.


You don't need to catch the entire move to make money. But sometimes the market rewards your patience.


Learn how we scalp $SPY:


#SPY #0DTE #Scalping #OptionsTrading

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Thy VuProfile picture@corgi4mvp·6d

October 26 Monday

$AAPL 345 Call ODTE .80 : 1.60 :dollar: 100%

$NVDA 215 ODTE 1.20 : 2.20 90%

$SPCX 10.30 $150 Call 1.90 :dollar: 100%

$SPY $763 Put · 0DTE .45 : .18 :drop_of_blood: 60%

$SPY $766 Put · 0DTE .60 : 1.50 :dollar: 125%

$SPY $766 Call · 0DTE .56 :dollar: 30%

$SPX $7700 Call · 0DTE 1.50 : 2.40 :dollar: 50%

$SPY $766 Call · 0DTE .56 : .92 :dollar: 60%

$SPX $7685 Call · 0DTE 1.45 : 6.00 :dollar: 300% (max 8+)

$AAPLE 10.28 $350 CALL .50 : .74 :dollar: 50% (runners)

$CART 10.30 60 call at 1.70 : 2.70 :dollar: 60% (runners)

$TSLA $385 Put · Oct 28 at 2.00 :dollar: 30%


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Thy VuProfile picture@corgi4mvp·6d

Great trading while on vacation last week


October 19 Monday

QQQ 720 Put .70 : 2.00 💵 200%

SPY 769 Put 1.20 : 1.80 💵 70%

SPY 769 Put 1.20 : 2.20 💵 90%


October 20 Tuesday

SPX 7630 Put 3.00 💵 100%

SPY 763 Put .80 💵 50%

QQQ $718 Put 0DTE .75 : 2.00 💵 200%


October 21 Wednesday

SPY 771 Call .65 💵 200%

SPCX 10.23 175 Call .70 :.50 🩸 20%


October 22 Thursday

SPY 768 Call .79 💵 100%

SPY 769 Call .53 💵 100%

SPX 7730 Call 3.00 : 6.00 💵 100%

SPY 765 Call .92 : 1.35 💵 45%

SPY 765 Call .70 : 1.50 💵 100%

SPY $769 Call · Oct 23 at .97 : 1.00 💵


October 23 Friday

MRNA 10.23 210 Call at 1.50 💵 50%

SPY 757 Put 0.79 💵 50%

MRNA 10.23 210 Call at 1.10 💵 30%

AMD $525 Call · 0DTE 1.30 💵 100%

MRNA 10.23 210 Call at 1.00 💵 50%

SPY $765 Call · 0DTE .60 💵 55%

SPY $761 Call · 0DTE .72 💵 .41 🩸 40%


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Trader JoeProfile picture@trader-joe·Oct 20

I'm a scalper. I use the 9 EMA on the 1-min chart for entries, with VWAP distance and key levels to confirm setups.


I trade small, leaving room to add if needed.


I'm happy with 15% wins. Ten of those = 150% cumulative returns.


The real secret? Self-discipline. Know your pain tolerance, set a max loss, and control your emotions.


Master yourself before trying to master the market. Join and trade with us.

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Thy VuProfile picture@corgi4mvp·Oct 16

October 16th Friday

$TSLA $375 Call 1.00 · 0DTE 💵 30%

$SPY put 771 .80 · 0DTE 💵 40%

$SPY put 771 .80 · 0DTE 💵 50%

$AAPL put 342.50 at .75 💵 100%

$AMD put 535 1.10 💵 300%

$MRNA put 210 at 2.30 💵 50% then red 🩸

$SPY put 771 .50 · 0DTE 💵 1200%+

$SPX 7700 Put 2.00 · 0DTE 💵 2000% (max 60+)

$META $700 Put 0.47 · 0DTE 💵 70%


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Trader JoeProfile picture@trader-joe·Oct 16

Channeling my inner Corgi. Got it on a simple whole number break of $770. Got way more than i wanted. Wanna know why I took the call? Ask me in the chat.

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Thy VuProfile picture@corgi4mvp·Oct 14

PUT and CHILL type of day


$SPX 7745 put at 2.50 : 12+ 💵 1600%

$QQQ 736 put at .89 : 3.10+ 💵 900%

$SPY 772 put .75 : 1.70 💵 500%

$SPY 769 put .55 on live 💵 300%


We haven't seen a put and chill type of day in a long time @Corgi Trades

Anymore we are being greedy.


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Thy VuProfile picture@corgi4mvp·Oct 13

Overnight

$NVDA $225 Put 1.10 · Oct 14 💵 3.00 150%

$GOOGL $360 Call 2.30 · Oct 16 💵 3.55 50%

$META $720 Put 1.66 · Oct 14 💵 2.57 100%


October 13th Tuesday

$WDC $400 Call 1.45 · Oct 16 💵 4.50 200%

$META 780 Call 2.15 10.14 💵 5+ 150%

$LITE 1000 10.16 call at 2.50 💵 3+ 20%

$SPX $7805 Call 1.50 · 0DTE 💵 7+ 300%


TRIM

$AMD $630 Call 2.90 · Oct 16 💵 30%

$GLD $382 Call 2.00 · Oct 14 💵 10%

$QQQ $745 Call 1.60 · Oct 14 💵 90%

$JPM $340 Call 1.43 · Oct 16 💵 20%

$TSLA $380 Call 1.11 · Oct 14 💵 70%

$QQQ $745 Call 1.60 · Oct 14 💵 90%

$MU $1000 Call · Oct 14 1.45 💵 back to b/e and holding


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Trader JoeProfile picture@trader-joe·Oct 11

PLTR: The Future of Enterprise AI and Why Wall Street Sees $230

October 11, 2026 | Woof Streets Research


Palantir Technologies ($PLTR) has become one of the most fascinating companies in the artificial intelligence revolution.

For years, investors struggled to understand what Palantir actually did. Was it a government contractor? A data analytics company? A defense technology business? Or simply another software company trading at an outrageous valuation?

Today, the conversation has changed.

Palantir is increasingly being viewed as a potential cornerstone of enterprise artificial intelligence, helping organizations move beyond experimenting with AI and toward actually using it to make operational decisions.

And Wall Street is beginning to recognize that opportunity.

Goldman Sachs recently upgraded Palantir to Buy with a $230 price target.

That target is particularly interesting because Palantir has already experienced an enormous rally. Goldman isn't looking at an undiscovered company trading at bargain-basement prices. It's looking at a company that has already attracted tremendous investor enthusiasm and still sees potential upside.


The question is why.

1. Palantir Is Selling Something More Valuable Than AI Hype

There is no shortage of companies promising to revolutionize the world with artificial intelligence.

Every major technology company is talking about AI. Every earnings call seems to include references to automation, machine learning, productivity improvements, and intelligent software.

But there's an enormous difference between demonstrating what AI can do and implementing it inside a real business.

That's where Palantir becomes interesting.

Its Artificial Intelligence Platform, commonly known as AIP, is designed to connect AI models with an organization's actual data, workflows, and decision-making processes.

Imagine a manufacturer trying to predict equipment failures before they happen.

Or a hospital system attempting to optimize staffing, inventory, and patient flow.

Or a defense organization analyzing enormous quantities of intelligence to make faster operational decisions.

These aren't simply chatbot applications.

They involve complicated systems, sensitive information, multiple data sources, and decisions that can have significant financial or operational consequences.

Palantir wants to become the software layer connecting all those moving pieces.

And if the company succeeds, the opportunity could be enormous.


2. The Real Opportunity Is Enterprise Adoption

I believe the next phase of the AI revolution will be very different from the first.

The initial phase was dominated by infrastructure.

Nvidia supplied the computing power. Hyperscalers invested heavily in data centers. Semiconductor companies benefited from extraordinary demand.

But eventually, businesses need to justify those investments.

They need measurable improvements in productivity, efficiency, and profitability.

That's where enterprise software companies such as Palantir could become increasingly important.

Consider how many large organizations still rely on fragmented systems, outdated databases, manual processes, and disconnected departments.

Even companies spending billions on technology frequently struggle to turn their information into actionable intelligence.

Palantir's opportunity is to help solve that problem.

And unlike a consumer application that might be abandoned after a few months, software deeply integrated into critical business operations can become extremely difficult to replace.

That creates the possibility of long-term customer relationships, recurring revenue, and expanding contract values.

Of course, those advantages depend on successful implementation, customer retention, and demonstrating genuine economic value.


3. Why Goldman Sachs Sees $230

Goldman Sachs' $230 target represents a bullish outlook on Palantir's future.

I view the investment thesis through three major themes.

First: Enterprise AI spending could continue expanding.

Companies are still in the early stages of implementing AI across their operations. If AI adoption continues moving from experimentation toward full-scale deployment, Palantir could benefit from a much larger addressable market.


Second: Palantir has the potential to become deeply embedded in customer operations.

The more essential its software becomes to an organization, the more opportunities Palantir may have to expand existing relationships and introduce additional capabilities.

Third: Revenue growth combined with software economics can create significant operating leverage.

If Palantir can grow revenue while controlling expenses, profitability could potentially increase faster than sales.

That combination is extremely attractive to growth investors.

However, I want to make one distinction.

These are the fundamental arguments supporting a bullish $230 scenario, not a verified breakdown of Goldman Sachs' proprietary valuation model.

And a $230 price target doesn't mean the stock is guaranteed to reach $230.

Wall Street targets are estimates, not promises.


4. Government and Defense: An Advantage That Shouldn't Be Ignored

One of Palantir's most important competitive advantages is its experience working with government agencies and defense organizations.

These are environments where security, reliability, access controls, and data integration are essential.

Developing software for such demanding customers can create expertise that is difficult for competitors to replicate.

Government relationships may also provide long-term opportunities as defense agencies modernize their technology infrastructure.

AI is increasingly relevant to intelligence analysis, logistics, operational planning, and national security.

Palantir is positioned to compete for those opportunities.

But government business carries risks as well.

Contracts can be politically sensitive, procurement processes can be lengthy, and spending priorities can change.

Investors shouldn't assume every government opportunity automatically becomes profitable revenue.


5. The Biggest Risk Is Valuation

This is where I become more cautious.

I like Palantir's business opportunity.

I like its positioning in enterprise AI.

I like the potential for long-term software adoption.

But liking a company and liking its stock at any price are two completely different things.

Palantir carries substantial expectations.

Investors are already pricing in years of growth, continued customer adoption, and strong execution.

That creates very little room for disappointment.

If revenue growth slows, margins disappoint, or enterprise AI spending takes longer than expected to materialize, the stock could experience a significant correction even if the underlying business remains healthy.

Competition is another concern.

Microsoft, Amazon, Google, Oracle, and numerous enterprise software providers are investing aggressively in AI capabilities.

Palantir may have important advantages, but it doesn't have the market to itself.

And that's why I believe investors need to approach this company with both enthusiasm and discipline.

A great company can still become a terrible investment if purchased at an unreasonable valuation.


6. My Long-Term Outlook

I believe artificial intelligence will eventually become a standard component of how major organizations operate.

Not simply a tool employees occasionally open to ask questions.

I'm talking about AI integrated into supply chains, manufacturing, financial operations, healthcare, government systems, and corporate decision-making.

The companies that successfully provide that infrastructure could become some of the most important software businesses of the next decade.

Palantir has a credible opportunity to be one of them.

But the next stage of its story will need to be supported by results.

I want to see continued commercial adoption, expanding customer relationships, durable revenue growth, and profitability that justifies the valuation.

That's what will ultimately separate the long-term winners from the companies that simply benefited from AI enthusiasm.


7. My Technical Outlook:

The four-hour chart shows a bullish breakout from a tightening consolidation, with ascending support and rising resistance converging before price pushed higher.

Key levels:

  • $194.76: Previous resistance, now potential support.

  • $204.42: Important breakout level to hold.

  • $208.74: Price shown on your chart.

  • $222.33: My technical upside target.

  • $230: Goldman Sachs' price target.

The structure resembles a rising wedge more than a textbook ascending triangle, so I would be careful about assuming the breakout will automatically continue.

Nevertheless, the move above $204.42 is encouraging. A successful retest of that level would strengthen the bullish case.

My outlook: As long as PLTR holds above $204.42, I'm watching for continuation toward $222.33. A sustained move below $194.76 would materially weaken the near-term bullish setup.

This chart tells the story much more clearly for your blog: consolidation, breakout, and a defined upside target.


Final Thoughts

I remain constructive on Palantir's long-term business prospects.

The company operates at the intersection of several powerful trends: artificial intelligence, enterprise software modernization, government technology, and data-driven decision-making.

Goldman Sachs' $230 target reinforces the idea that institutional investors still see opportunities beyond the stock's remarkable recovery.

But I'm not interested in chasing a narrative without respecting valuation and technical risk.

For me, the immediate question is whether Palantir can turn this major supply zone into support.

If it does, the next leg higher could become very interesting.


The future of AI isn't just about building smarter models. It's about putting those models to work in the real world. And Palantir wants to be the company making that happen.

Disclaimer: This article reflects my personal market analysis and opinions, not financial advice. All investments carry risk.