..one piece..

..one piece..

[..one piece.. @AInfinity_exe]

SPRAWDZ https://t.co/FMswopbVya

[Michael | Hypermarkets @itsmichaelluu]

20 stocks I'll add in this May/June 2026 $SPY crash.

Remember, market always bounces back to all time highs.

1. $NVDA $225
Buy: $180–190 Prior breakout and massive institutional demand zone.

2. $MU $725
Buy: $500–$550 Strong support and AI memory demand acceleration zone.

3. $GOOG $392
Buy: $350–360 Historical accumulation zone and long-term AI infrastructure support.

4. $AAPL $300
Buy: $260–270 Major support with massive cash flow and buyback strength.

5. $IONQ 51
Buy: $25–38 Prior breakout zone with aggressive future growth potential.

6. $POET $16
Buy: $7–9 Early-stage AI photonics accumulation zone before mass adoption.

7. $DGXX $7
Buy: $3–3.50 Deep support zone with speculative AI infrastructure upside.

8. $MRAM $52
Buy: $14–15 Long-term semiconductor accumulation and breakout retest area.

9. $CIFR $20
Buy: $11–12 Oversold support with strong long-term cybersecurity demand potential.

10. $MSFT $42
Buy: $360–370 Major institutional support and AI cloud dominance zone.

11. $META $610
Buy: $530–540 Historical support and heavy AI monetization opportunity area.

12. $AMD $420
Buy: $340–350 Major support before next AI data center expansion cycle.

13. $INTC $107
Buy: $65–70 Multi-year support with asymmetric turnaround potential.

14. $ORCL $192
Buy: $140–150 Prior breakout zone with accelerating AI enterprise demand.

15. $QCOM $200
Buy: $150–160 Strong support with long-term edge AI opportunity.

16. $NOW $95
Buy: $80–85 Institutional demand zone and enterprise AI transformation support.

17. $ADBE $247
Buy: $224–235 Long-term support with massive AI productivity monetization potential.

18. $BE $42
Buy: $16–19 High-risk support zone with AI energy demand tailwinds.

19. $LITE $971
Buy: $600–650 Prior breakout zone and major AI infrastructure support.

20. $SNDK $1381
Buy: $800–900 Strong semiconductor support with rising AI storage demand.

21. $DRAM $50
Buy: $32–35 Early accumulation zone before broader AI infrastructure expansion.

If the $SPY sells off under $700 towards $650 by the end of June, I'm interested in $SPY calls for $750 June 2027 calls.

♻️RESHARE this post and make 1 comment if you want $SPY contract less then $10 to buy so you can hold it through volatility.

[..one piece.. @AInfinity_exe]

@Laylamining @KryptexMining @jan_gda

[Layla Mining @Laylamining]

🚨GIVEAWAY ALERT🚨

🎁 Inibox 850MH/s (Initverse Home Miner)

‼️Rules are simple

👍Follow us & @KryptexMining
❤️Like this post
🔁Retweet
💬Tag your friend to participate and write Kryptex

✨Sign up in https://t.co/4jx5InfblT
‼️Enter the giveaway before 10th June 2026

[Dispropaganda @Dispropoganda]

Happy birthday to the bravest soldier during WW2, Witold Pilecki.

[unusual_whales @unusual_whales]

BREAKING: Michael Burry says the market today feels like 'the last months of the 1999-2000 bubble'

[Sergey @SergeyCYW]

AI needs energy. From uranium to grid equipment, the power stack behind AI is becoming its own supply chain.

Data centers need GPUs. GPUs need racks. Racks need power. Power needs grid access, firm generation, storage, cooling, and fuel.

Hyperscalers are no longer only competing for compute capacity. They are competing for long-term electricity supply, faster interconnection, backup systems, and local power solutions.

Here are 10 companies positioned across the AI energy stack:

$GEV — GE Vernova Market Cap: $294B | NTM Revenue Growth Est: +19%

GE Vernova is one of the key grid infrastructure names tied to AI data center expansion. Its Electrification segment booked $7.1B in Q1 orders, with a 2.5 book-to-bill ratio. More importantly, data center equipment orders reached $2.4B in one quarter, already above last year’s total. The role is clear: transformers, switchgear, and grid architecture needed to connect AI campuses to the broader power system.

$AMSC — American Superconductor Market Cap: $2.6B | NTM Revenue Growth Est: +24%

AMSC sits in the power quality and grid-stability layer. AI data centers create dense local loads, especially in constrained regions where voltage control and power resiliency matter. Its grid segment represents more than 80% of revenue, and management highlighted momentum in materials and semiconductor divisions tied to localized data center infrastructure. The company also turned free-cash-flow positive as demand for grid-stabilizing systems improved.

$CEG — Constellation Energy Market Cap: $100B | NTM Revenue Growth Est: +31%

Constellation is the large-scale nuclear baseload provider in the AI energy stack. Tech companies want 24/7 carbon-free power, and CEG owns the largest nuclear fleet in the U.S. The Calpine acquisition adds 27GW of natural gas capacity, giving the company more dispatchable supply for near-term demand. Management also increased its buyback authorization to $5B and outlined a $3.9B capex plan aimed at clean energy constraints.

$FLNC — Fluence Energy Market Cap: $2.3B | NTM Revenue Growth Est: +34%

Fluence is the battery storage layer for AI power demand. Data centers need always-on electricity, while renewables remain intermittent. FLNC delivered 2.3GWh of storage in Q1 and holds a $5.5B backlog. The more interesting piece is its active 36GWh data center pipeline, even though management has not yet converted those engagements into signed backlog. Smartstack targets high-density storage where AI campuses face space constraints.

$VST — Vistra Market Cap: $54B | NTM Revenue Growth Est: +47%

Vistra is a dispatchable power and nuclear offtake play. The company signed a 20-year agreement with Meta to deliver 2.6GW of zero-carbon nuclear power for an AI data center in Ohio. It also acquired Cogentrix for $4.7B, adding 10 gas facilities and 5.5GW of capacity. VST has also secured a 20-year nuclear power agreement with AWS, placing it directly inside the AI compute power procurement cycle.

$TLN — Talen Energy Market Cap: $17.5B | NTM Revenue Growth Est: +54%

Talen is turning nuclear generation into direct AI data center supply. Its expanded Amazon agreement locks in up to 1,920MW of nuclear power through 2042. The anchor asset is the 2.2GW Susquehanna nuclear facility, designed to support a collocated, 24/7 carbon-free data center campus. TLN is moving from merchant power exposure toward long-term contracted offtake, with management guiding to up to $1.18B in 2026 free cash flow.

$SMR — NuScale Power Market Cap: $3.5B | NTM Revenue Growth Est: +60%

NuScale represents the small modular reactor angle. AI campuses need scalable carbon-free power, but traditional nuclear projects require massive upfront capital and long timelines. SMR’s TVA and ENTRA1 partnership targets a 6GW SMR program across the seven-state TVA region. Its 12-module plant structure can scale gradually as compute clusters come online, making modular nuclear a potential fit for staged AI power demand.

$BE — Bloom Energy Market Cap: $71B | NTM Revenue Growth Est: +72%

Bloom Energy is the on-site power layer for AI campuses facing long grid interconnection delays. Its Oracle Project Jupiter agreement positions Bloom as the sole power provider for a New Mexico AI data center campus, with up to 2.45GW of solid oxide fuel cell capacity. The setup replaces planned gas turbines with a private microgrid. Management lifted 2026 revenue guidance to around $3.8B as AI data center demand reshaped the business mix.

$EOSE — Eos Energy Market Cap: $1.6B | NTM Revenue Growth Est: +166%

Eos provides zinc-based long-duration batteries for off-grid and power-constrained AI sites. Its TURBINE-X partnership targets up to 2GWh of storage across hyperscale data center projects over 36 months, pairing batteries with simple-cycle gas turbines for on-site microgrids. The MN8 Energy agreement adds 750MWh tied to solar plus 10-hour discharge batteries, aimed at round-the-clock power for high-demand industrial loads.

$UEC — Uranium Energy Market Cap: $7.1B | NTM Revenue Growth Est: +215%

UEC is the nuclear fuel exposure in the AI energy stack. AI data centers are increasing interest in nuclear baseload power, and uranium supply remains structurally tight. UEC is bringing low-cost ISR projects online in Wyoming and South Texas while keeping its order book unhedged. That structure gives direct exposure to uranium pricing if nuclear demand from utilities and hyperscalers continues to support the market.

[DogeTon @dogetontoken]

Dogeton woke up and chose green candles.

$DGT is up 266% in 24h, and the chart is still barking.

This is not the finish line.
This is the warm-up.

Hold. Shill. Grow. Send it.
Ca: EQBdORhSxB3p86_pcwaHGyoG_J46HryQ9EQmoWGtcyZ9d70b

$DGT x $TON

#DGT #Dogeton #TON #Memecoin

[DogeTon @dogetontoken]

New Dogeton website goes live tomorrow.

New look.
New energy.
Same OG dog on TON.

We are rebuilding $DGT step by step with the community.

Website first.
Then more tools, more utility, more memes, more movement.

Tomorrow is the day.

$DGT x $TON

#DGT #Dogeton #TON #Memecoin

[TheSoloMiningCo (I Am GPIO) @TheSoloMiningCo]

🚨 GIVEAWAY 🚨

We’re giving away a BitForge Nano Ghost Edition — a home-worthy Bitcoin miner designed to be seen, not hidden in a shed.

To enter:

Follow @TheSoloMiningCo
Repost this post
Reply with where you’d put it and why.

Winner announced 1st June 2026

The Solo Mining Co: Your Rigs, Your Rewards. ⚡

[DogeTon @dogetontoken]

A day in the life of Dogeton

[DogeTon @dogetontoken]

$DGT is waking up from the deepest meme sleep.

TON is moving.
Old gems are stretching.
The Dogeton dragon is opening one eye.

[DogeTon @dogetontoken]

3:00 AM.
Normal people sleep.
Dogeton checks the chart and raids the degen fridge.

$DGT energy? Full.
TON ramen? Ready.
FUD? Already in the trash.

When TON wakes up, old memes don’t ask questions.
They open the fridge, grab the dip, and send it.

$DGT is back on the menu.

[Justin Banks @RealJGBanks]

BREAKING: THE U.S JUST ANNOUNCED A
$1.5T DEFENSE BUDGET

Here are the top 15 names to benefit:

1. $PLTR - Palantir
2. $AVAV - AeroVironment
3. $KTOS - Kratos
4. $RKLB - Rocket Lab
5. $ASTS - AST SpaceMobile
6. $PL - Planet Labs
7. $ONDS - Ondas
8. $OSS - One Stop Systems
9. $LMT - Lockheed Martin
10. $NOC - Northrop Grumman
11. $HII - Huntington Ingalls
12. $GD - General Dynamics
13. $MP - MP Materials
14. $LHX - L3Harris
15. $RTX - RTX

[..one piece.. @AInfinity_exe]

@clintoptions $SPY

[..one piece.. @AInfinity_exe]

@StockMKTNewz KGHM ?

[Global Statistics @Globalstats11]

The True Size of Poland 🇵🇱

[deZeZed @deZeZed]

Studenci Politechniki Gdańskiej opracowali 4-metrową rakietę z hybrydowym napędem oraz lekką konstrukcją z włókna szklanego i węglowego.

Rakietę nazwali R7 Orzeł na cześć statku pewnego znanego Kapitana Gwiezdnej Floty.

Rakieta już w maju ma podbić międzynarodowe zawody FAR-OUT, które są organizowane na pustyni Mojave w Stanach Zjednoczonych.

Dobra robota, tępe ch*e.

Źródło: trojmiasto pl

[Pregonero @PregoneroL]

🌎 Ingenieros graduados por cada 100 mil habitantes en el 2024:

🇵🇱 Polonia: 139
🇦🇺 Australia: 114
🇨🇳 China: 114
🇩🇪 Alemania: 106
🇮🇳 India: 104
🇪🇸 España: 98
🇨🇦 Canadá: 98
🇲🇽 México: 87
🇺🇸 EE.UU.: 66
🇧�� Brasil: 41
🇦🇷 Argentina: 15

[..one piece.. @AInfinity_exe]

Hey @375ai_ this is my validation code: 3759JEUULLEPPAIM

Join me and get a bonus when you sign up!

https://t.co/qUmNqMKbOp