Alpha Reddy

Trader and forced investor, sports coach, Project Manager and Certified Business Analyst and Scrum Master.

[Alpha Reddy @AlphaReddyB]

$UBER
$XFOR
$PFE
$KSS
$ZETA
$MDB
$BASE
$ADBE
$WDAY
$QTRX
$AKYA
$LAES
$APLT
$MDLZ
$DELL
$VKTX
$OKTA
$SNAP
$YUM
$MSFT
$QBTS
$LI
$SWK
$SMCI
$SEDG
$ALLT
$PDD
$SIG
$WBA
$LYFT
$BUD
$ROIV
$PVH
$MRK
$EYPT
$DLTR
$CPRI
$ORCL

[Rohan Paul @rohanpaul_ai]

dot-com bubble vs. a possible AI bubble.

From the famous "Dean of Valuation", Professor Aswath Damodaran, of NYU Stern School of Business,

“And that’s the real big difference between the dot-com boom and bust and the AI boom. We don’t know whether there’ll be a bust. History suggests there will be a bust.

The dot-com boom and bust had no huge capital expenditure in that cycle. In fact, there was very little traditional CapEx, or even R&D, driving it. People started apps. They basically started going on it.

This has been the biggest infrastructure run-up I think I’ve ever seen in business. You can go back and compare it to the automobile business 100 years ago. The amount of money that’s being put into AI CapEx is immense, which means that when the correction comes, the pain will be more intense.

And herein lies the second problem. The dot-com boom and bust was almost entirely equity-funded. You think, so what? Well, when the bust came, those shareholders lost 60%, 70%, 80%, or 90% of their money. You felt sorry for them, but the loss was restricted to the shareholders.

The problem with the AI CapEx boom is that not only is it immense, but a big chunk of it is funded with debt, and the debt is coming from private capital rather than banks. There’s a very real chance that if there’s a correction and companies start having problems, that problem is going to show up as distress and default, and that really doesn’t stay restricted. It spills over into the rest of society.

I’m not saying it’s going to be 2008, but 2008 is an example of what happens when lenders overreach, when they lend money at too low a rate, and the correction comes. The pain spills over.

So that is my concern with this big market illusion: the potential societal cost of having to deal with debt coming due that you’re unable to pay. It’s much more painful than your share price dropping 90% and you feeling the pain."

----

From "Excess Returns" YouTube channel, (link in comment)

[Global Markets Investor @GlobalMktObserv]

🔴FRIDAY WAS A CLEAR WARNING TO THE MARKET SPECULATORS:

The trading volume of just four 3x leveraged ETFs spiked to a record $1.1 BILLION.

This includes long and short S&P 500 ETFs $SPXL and $SPXs, as well as long and short semiconductor ETFs $SOXL and $SOXS.

The trading volume of these funds has risen by over +1,000% since the start of the year.

For example, $SOXL dropped -31% on Friday and subsequently jumped +16% on Monday, underscoring historic swings of these risky products.

The US market has never seen this level of speculation.

[Alpha Reddy @AlphaReddyB]

@Ravanaroy First comb ur
Hair

[Velayudham @aakulaaakula]

Asalu ala ela edit chesaranna 🤣

[Alpha Reddy @AlphaReddyB]

Netskope remains one of the highest-quality growth stories in cybersecurity/SASE — executing well in a massive TAM with strong retention and product momentum. Long-term winner. 🚀
#NTSK #Cybersecurity $NTSK

[Alpha Reddy @AlphaReddyB]

$NTSK just delivered another strong beat — Q1 revenue +28% YoY to $201.6M (beating estimates) and ARR +29% to $845M. Gross margins expanded nicely to 77% non-GAAP, while the company continues to push its AI-native platform and enterprise adoption.

[Ethan Walker @MajidTulsh32058]

Stocks to Watch Before June
Not a guess — based on fundamentals, trend, and valuation.
• 🚀 $AVGO — 427 → 528
• 🚀 $ANET — 155 → 242
• 🚀 $APP — 600 → 728
• 🚀 $CRDO — 222 → 304
• 🚀 $ASTS — 133 → 188
• 🚀 $OKLO — 68 → 112
• 🚀 $TSM — 425 → 528
• 🚀 $PLTR — 143 → 228
• 🚀 $HOOD — 85 → 139
• 🚀 $IONQ — 70 → 98
People ask: “Why don’t you charge?”
I’ve made enough. Sharing is my passion — that’s why I post for free.

[Emma @Hey_Emma1]

@PopcornPlug_ @grok give me all links

[Justin Banks @RealJGBanks]

The next set of Multi Millionaires will have positions in every buildout of the future.

Those who listen to me and follow will be set for Life and RETIRE in the next 5-10 years.

Here are the top 3 stocks in every major sector for the next decade:

AI Compute
$NVDA $AMD $AVGO

Semiconductor Manufacturing
$TSM $ASML $AMAT

Networking & Connectivity
$MRVL $ANET $CRDO

Photonics
$LITE $GLW $AAOI

Memory
$MU $WDC $SNDK

AI Infrastructure
$IREN $VRT $NBIS

Next-Gen Power
$NVTS $BE $TE

Cloud & AI Software
$MSFT $PLTR $NOW

Nuclear Energy
$OKLO $SMR $NNE

Power & Electrification
$ETN $PWR $HUBB

Robotics & Automation
$TSLA $SYM $OUST

Defense & Drones
$AVAV $KTOS $OSS

Autonomous Flight
$ACHR $JOBY $EH

Space Economy
$RKLB $ASTS $LUNR

Satellite Connectivity
$IRDM $GSAT $ASTS

Quantum Computing
$IONQ $RGTI $QBTS

Position early and let time do the work.

[The AI Investor @The_AI_Investor]

Global Semiconductor / EDA >$50B ranking in FY2 PE/PEG

The cheapest names are still memory:

SK Hynix: 4.3x
Samsung: 5.1x
Micron: 6.4x
SanDisk: 9.6x

NVDA at 18.7x is cheap that most other stocks.

Note - directional data only, varies by sources.

[Justin Banks @RealJGBanks]

THIS IS WHERE THE MARKET ROTATES NEXT.

I still believe AI goes much higher long term.

But right now:
• the market is stretched
• positioning is overcrowded
• and rotations happen FAST when momentum cracks

If AI hardware slows down even temporarily, this is where I think money rotates next:

DEFENSE / WAR
$LMT $PLTR $BA $RTX $AVAV $KTOS

POWER / NUCLEAR
$VRT $ETN $CEG $OKLO $SMR $UEC

SPACE / SATELLITE
$RKLB $ASTS $PL $LUNR $IRDM

DEFENSIVE / STABILITY
$WMT $KO $JNJ $PEP $XOM $NEM $JCI

ENTERPRISE AI / SOFTWARE
$NOW $CRM $ORCL $MDB $SNOW $TEAM

AI INFRASTRUCTURE
$ANET $NBIS $APLD $AVGO $MRVL

OPTICS / DATA MOVEMENT
$LITE $AAOI $CIEN $COHR

STAGE 2 / ROTATION SETUPS
$CRCL $CRWV $IREN $V

HIGH UPSIDE
$SMCI $DAL

CURRENT RELATIVE STRENGTH
$CGNX $APLD $RKLB $ASTS

I am also sitting in 30-40% cash now to buy dips.

[AJ @BOSSTRADING0]

RA CAPITAL Q1 13F

NEW POSITION:

$SGP $ZLAB $SRPT $DMRA $XNCR $IPSC $MIRM $BIOA $AKTS $ALXO $ACRS $TVTX $RLMD $DRUG $STRO $AVR $OKUR $HLXC $RNA $KPTI $CRVS $MGNX $MPLT

$XBI $IBB

[Alpha Reddy @AlphaReddyB]

Burning cash at ludicrous speed while trading at 130x sales on vaporware qubits. SkyWater deal stalled, Gen7 dreams delayed. This is classic hype stock math—growth at all costs until dilution/death. Short this clown show. 🚩💥” $IONQ

[Alpha Reddy @AlphaReddyB]

“ $IONQ just dropped another ‘blockbuster’ quarter: $64.7M rev (755% YoY beat!) but core ops are a dumpster fire. Adjusted EBITDA loss -$97M (worse 170% YoY), operating loss exploding to $272M. Massive non-cash warrant gains fake the GAAP EPS ‘profit.’
SELL

[Shay Boloor @StockSavvyShay]

THE SEMICONDUCTOR VALUE CHAIN

Fabless Chip Designers
• $QCOM mobile, automotive & edge AI chips
• $NVDA AI accelerators & data center GPUs
• $TSLA in-house FSD & Dojo AI training chips
• $AVGO custom ASICs & AI networking silicon
• $MRVL data center CPUs, ASICs & optical DSPs
• $AMD CPUs & GPUs for AI training & inference
• $MSFT Maia AI accelerators for Azure & Copilot
• $GOOGL custom TPUs for Search, Cloud & Gemini
• $AAPL in-house SoCs powering Apple Intelligence
• $META custom training & inference accelerators for Llama

Integrated Device Manufactures
• $MU DRAM + NAND for AI memory infrastructure
• $ON power semiconductors for EV & AI edge systems
• $SNDK NAND flash for enterprise & consumer storage
• $TXN analog & embedded chips for industrial & automotive

Foundries
• $GFS automotive & IoT foundry leader
• $TSM world’s largest advanced-node manufacturer
• $INTC Custom Foundry contract manufacturing division

Testing & Packaging
• $AMKR outsourced packaging & test
• $TER automated test equipment leader
• $AEHR burn-in & reliability test systems

Manufacturing / Assembly Equipment & Fab Services
• $LRCX etch & deposition equipment
• $KLAC process control & metrology systems
• $ASML lithography systems enabling advanced nodes
• $AMAT deposition & etch systems for chip fabrication

Design Software, R&D Tools & IP
• $CDNS software for chip design & verification
• $LSCC low-power FPGAs for edge & industrial use
• $SNPS electronic design automation (EDA) software
• $ARM processor IP licensing + first-ever in-house AGI CPU for agentic AI inference

[Michael | Hypermarkets @itsmichaelluu]

CHEATSHEAT and price targets for PHOTONICS STOCKS:

Here’s the full stack + WHY each matters + price targets 1 year from now:

1. MATERIALS & WAFERS

$AXTI — Enables indium phosphide wafers for ultra-fast optical chips
→ Current: ~$76 | PT: $130

$WOLF — Silicon carbide boosts efficiency, reduces heat in AI systems
→ Current: ~$32 | PT: $44

$COHR — Vertically integrated materials powering lasers + optical scaling
→ Current: ~$336 | PT: $400+

$LWLG — Electro-optic polymers unlock next-gen ultra-fast data transfer
→ Current: ~$12 | PT: $18

2. TOOLS

$ASML — EUV lithography = ONLY way to manufacture advanced AI chips
→ Current: ~$1,460 | PT: $1,800

$AMAT — Deposition + etch tools build photonic integrated circuits
→ Current: ~$420 | PT: $520+

$LRCX — Precision wafer processing = yield + scale for AI hardware
→ Current: ~$280 | PT: $360

3. LASERS

$LITE — Lasers + optical interconnects powering hyperscaler AI clusters
→ Current: ~$875 | PT: $1200

$LASR — Industrial + photonic lasers enabling chip manufacturing precision
→ Current: ~$76 | PT: $110

$SMTC — Optical + analog chips powering signal transmission in AI systems
→ Current: ~$110 | PT: $180

4. FOUNDRIES

$TSM — Manufactures advanced AI + photonic chips at global scale
→ Current: ~$410 | PT: $500

$TSEM — Specialty analog + photonics foundry for optical chips
→ Current: ~$200 | PT: $240

$GFS — Diversified chip manufacturing including photonics + RF
→ Current: ~$62 | PT: $90

$UMC — Cost-efficient manufacturing supporting optical IC production
→ Current: ~$12| PT: $20

$INTC — Building integrated photonics for AI interconnect dominance
→ Current: ~$82 | PT: $130

5. TEST, INSPECTION & PACKAGING

$AEHR — Burn-in testing ensures AI chips don’t fail at scale
→ Current: ~$97 | PT: $160

$VIAV — Tests optical networks for hyperscale AI performance
→ Current: ~$47 | PT: $70

$ONTO — Inspection systems ensure precision at nanometer scale
→ Current: ~$311 | PT: $360

$AMKR — Advanced packaging connects chips for AI compute clusters
→ Current: ~$80 | PT: $110

6. OPTICS (MODULE LAYER)

$AAOI — Transceivers moving data between GPUs at insane speeds
→ Current: ~$155 | PT: $260

$POET — Optical interposers enabling chip-to-chip photonic communication
→ Current: ~$15 | PT: $32

$GLW — Optical fiber backbone of global AI data traffic
→ Current: ~$176 | PT: $180

7. NETWORKING

$CRDO — High-speed connectivity chips for AI clusters + data centers
→ Current: ~$190 | PT: $240

$MRVL — Custom silicon + optical interconnects for AI infrastructure
→ Current: ~$170 | PT: $300

$AVGO — Dominates switching + networking chips for hyperscalers
→ Current: ~$420 | PT: $600

$ANET — AI-optimized networking for ultra-fast data center scaling
→ Current: ~$180 | PT: $240

$CIEN — Optical networking connecting global AI data centers
→ Current: ~$520 | PT: $650

[Alpha Reddy @AlphaReddyB]

https://t.co/RAUjb8LbIY

[Shay Boloor @StockSavvyShay]

KEY FIB LEVELS ACROSS GROWTH THEMES

AI Utility
• $IREN -- $33
• $NBIS -- $100
• $CIFR -- $11
• $CRWV -- $92

AI Inference
• $NET -- $161
• $DOCN -- $68
• $FSLY -- $17
• $OSS -- $6

AI Power
• $VST -- $148
• $BE -- $118
• $CEG -- $274
• $VRT -- $209

AI Hardware
• $NVDA -- $167
• $TSM -- $297
• $ASML -- $1,191
• $AMD -- $197

AI Connectivity
• $AVGO -- $318
• $ALAB -- $133
• $CRDO -- $102
• $MRVL -- $99

Physical AI
• $TSLA -- $328
• $AMZN -- $223
• $GOOGL -- $272
• $ISRG -- $428

AI Security
• $MSFT -- $356
• $CRWD -- $362
• $PANW -- $144
• $ZS -- $110

Photonics
• $AAOI -- $99
• $LITE -- $612
• $COHR -- $212
• $AEHR -- $48

Drones
• $ONDS -- $6
• $UMAC -- $12
• $AVAV -- $170
• $KTOS -- $70

Nuclear
• $OKLO -- $50
• $UUUU -- $13
• $GEV -- $735
• $LEU -- $168

Space
• $RKLB -- $68
• $ASTS -- $88
• $PL -- $25
• $BKSY -- $25

[Ashhu🖤 @PrabhAshhu]

Nene chudala miru kuda chudandi 🤣😭😭