eric rivera

Staying fit is non-negotiable. Gym and nutrition and mindset. Living proof consistency works. 💪

[Kit Winder, CFA @WinderKit]

Salesforce vs Microsoft

$CRM outperformed by 750% between 2004-2014.
Then $MSFT won it all back, 2014-2026.

Will the tables turn again?

[eric rivera @ericstaysfit]

added $ZETA earlier this week - Athena expanding into agency workflows is the catalyst I was waiting for. real-time customer intelligence at that scale is sticky revenue. stop under last week's low, targeting prior resistance on the daily.

[Matthew Sullivan @tho_maswli53so]

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[Asantee. @Ja_asantee]

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[eric rivera @ericstaysfit]

walked into premarket with $HPE already flagged on the scanner - gap and crap forming right around $18.80, which ripster had been watching overnight.

this pattern is deceptively simple and most people screw it up. gap and crap doesn't mean "short it immediately." it means the market is testing whether buyers who chased the open gap will panic and exit. you're waiting for that first flush - where do sellers show up? do they absorb the selling or do they overwhelm it? that distinction is everything.

premarket context on HPE: price was attempting to hold $18.80, and that was the tell. MTF levels were stacked against it - the daily, 4H, and 15-min were all pointing to the same zone. when three timeframes agree on a level, you don't overthink the entry. you size in, put your stop where the thesis breaks, and wait.

I was watching two clear scenarios going into the open:

scenario A - price rejects $18.80 hard on the open, sellers show control from the first candle. short the first bounce. stop goes just above the rejection candle high, no wiggle room. target was the gap fill below, $18.40-18.50 range. minimum 3:1 RR.

scenario B - price holds above $18.80, buyers absorb early selling, trend confirmation kicks in, momentum continues. then I flip entirely - looking for a breakout pull and a long on the retest of $18.80 as support. completely different trade, completely different risk profile. same level, opposite direction.

what actually happened was scenario A, clean execution. the open gave exactly the gap-and-crap flush ripster had mapped in premarket. sellers took control early, momentum stayed one-directional, MTF targets printed in sequence from top to bottom. nothing to manage, nothing to stress - just let it work.

this is why premarket prep matters. by the time the bell rings, the setup is already decided. you're not thinking, you're executing a pre-planned trade with pre-planned risk. anyone who walked in without a plan got chopped up on that opening volatility. anyone who had the levels mapped was just watching it fill.

the edge here isn't the pattern. every trader who follows ripster's work knows the gap and crap. the edge is discipline - knowing which scenario you're trading before entry, knowing exactly where your stop goes before you have skin in the game, and not moving either one because price is making you uncomfortable. that's what separates scalpers who compound from scalpers who blow up.

RR is the only metric that survives long enough to matter. you can be wrong 50% of the time on gap-and-crap setups and still print if your winners are 3x your losers. win rate is irrelevant. the only question is: what do I lose if I'm wrong, and what do I make if I'm right.

ngl, HPE isn't a name I usually follow. mid-cap tech, not always the highest vol, not always the cleanest price action. but when the setup aligns and MTF levels stack, it doesn't matter what the ticker is. the pattern doesn't care what company it's on. you take the trade.

always check your levels before entry. if you don't have a plan, you're the plan for someone who does.

[Alina Shklyar @AlinaShklyar]

🚀 While you’re sleeping, the market is printing.

I’m a futures trader, sharing my personal high-probability setups and exact entries/exits for free.

#Ripple

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$AMD $AVL

Stop watching from the sidelines.

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[Laron Bins @Laron_Bins11]

$AEHL $BFC $CETUS $DOGS Guys, Don't miss the next move in a few hours:- https://t.co/wQR9E6ZzwB

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[Kat @visiogene]

@WallStreetMav I think that's a bit naive.

After Bill stepped away from $MSFT he could sell all or most of his shares without collapsing the stock price.

If Elon starts to sell while he's CEO, the stock price will tank.

[Jamie Mcullough 🇺🇦🇺🇸 @JamieMcullough]

$MU and $SNDK is going to crash. Everyone on Wall Street knows it. No one wants to be the "bad guy" and ruin the party.

Return to July 2000 when DRAM prices were going through the roof. All it took was a 1% drop and the party was over. Obliterated.

[eric rivera @ericstaysfit]

$CEVA - every institution raised their pt after last earnings, and now the freshest analyst look lands with the highest target on the street. sub-billion semicon IP name with exposure to QCOM, ARM, MRVL, INTC. structure is building.

[Qi @Qi52430971]

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$PLTR $PROVE

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[eric rivera @ericstaysfit]

$DXY back at 100.50 - old multi-year resistance, now testing as support after the 2022 breakout. five central banks this week to decide it. holds here and IWM gets the bid; cracks and XLK/SOXX pick up the tailwind from dollar weakness.

[Gipp 🦅 @gippp69]

THIS GUY STACKED $1,499 GMKTEC EVO X2 MINI PCS INTO A LOCAL AI FARM AND TURNED IT INTO A $14,000/MONTH BUSINESS

what looks like a messy hardware testing table is actually a private ai setup. small GMKtec EVO X2 boxes, cables, ssds and local models running without rented cloud servers or api bills

each EVO X2 costs around $1,499, so a small farm can hit $10,000 fast. but one private ai client paying $3,000-5,000/month can cover most of the setup before the hardware even feels expensive

the offer was simple: companies with sensitive files get ai inside their own office. law firms, clinics, accountants and ecommerce teams paid for document search, invoice parsing and private chatbots

the farm handled internal docs, customer chats, product data, contracts and daily summaries. no openai upload, no api meter, no per-request cost and no files leaving the local machine

his first 3 clients paid back the whole setup. after 7 clients, the GMKtec farm was doing around $14,000/month from setup fees, support plans and small custom ai workflows

this is why local ai hardware is getting interesting. most businesses do not need a giant data center. they need one private box that feels safe, works locally and is easy to explain to clients

the funny part is that it still looks like a random repair bench. but the model is clean: buy local compute once, sell private ai every month and keep the margin cloud users lose

[eric rivera @ericstaysfit]

Seven factories. One man. No country on earth building at this pace.

I've been sitting with the full facility list for TSLA and SpaceX - not renders, not roadmap slides - actual steel going vertical or permits already pulled. Walk through it:

Terfab: chip design and fabrication under one roof. First time in history anyone's attempted this at scale. TSMC doesn't do this. Samsung doesn't. Nobody does. That alone rewrites the semiconductor supply chain logic from scratch - vertical integration at a depth that makes Intel's foundry pivot look like a hobby project.

Cortex 2 and Colossus 2: two of the world's largest AI compute clusters, both US-soil, both coming online while Europe is still debating AI governance frameworks and China is racing to reroute around export controls. The compute gap isn't closing - it's compounding every quarter.

Gigaset: a dedicated factory for satellite-based AI computing infrastructure. This isn't a side product line. This is a vertical so deep it takes five regulatory cycles to even categorize.

Optimus factory - 10 million humanoid robots per year is the stated target. I'm not modeling that number. But even 200k units changes the labor cost structure of every other facility on this list. The feedback loop is the trade, not the robot count itself.

Houston Megafactory: battery storage at a scale that commoditizes utility-grade grid infrastructure. Grid storage is already happening - this collapses the timeline by a decade and kills the margin premium currently priced into legacy storage plays.

Gigabay: 1,000 Starships per year. Mass production of orbital launch vehicles. In the same window we're talking about mass-producing humanoid labor. Let that sit.

Here's the thing the chart doesn't capture: none of these are competing with each other. They're dependencies. Terfab silicon goes into Optimus units. Gigabay Starships carry Gigaset payloads. Cortex 2 runs inference for fleets of humanoid labor operating inside the other factories. This is a closed-loop industrial stack - vertically integrated across hardware, compute, energy, and launch - with no real historical analog.

My posture:

Added $TSLA calls last week, still in. Street is pricing this as a car OEM with a speculative robotics line-item. That mispricing is the trade. Stop is set below recent consolidation - I don't need the narrative to reprice this month, just need to be sized before it does. RR is wide enough to hold through noise.

The risk I watch: execution, not competition. Nobody's catching this stack on timeline. The risk is Musk running seven parallel construction programs and one slips hard enough to spook the multiple. Historically one always slips while two others accelerate - that's the vol, not a thesis-breaker. I'd add on a slip if the core facilities stay on track.

For anyone still underweight US manufacturing infrastructure plays: the gap between the US and the rest of the world isn't a trend anymore. It's a structural break. The factories getting permitted today won't have public comps until they're already producing at scale. By the time consensus models them, you're paying for certainty you could've bought as optionality.

Still holding. Not adding in front of the next catalyst - but not trimming into this consolidation either. The setup stays clean.

[eric rivera @ericstaysfit]

$ADBE buyback yield sitting at 10% here - $25b program against an $82b cap is real structural demand under the tape. watching daily 50ma reclaim for swing entry, stop below weekly support. RR sets up cleanly if structure holds.