Tra

Husband, father of four, Retired Research Advisor from Eli Lilly and Co., Consultant

1 day ago

How a Tanker Ship Works

150

rangertra retweeted

Rand Group

@randgroup

1 day ago

🤖 RESEARCH: For 60 years a robot was blind muscle bolted to the floor. Expensive and completely dumb. Then AI gave the arm eyes and a brain and the economics flipped. This is the moment robotics stops being a cost center and starts eating labor. The physics finally works, and the market hasn't repriced it. Robotics has been the future for so long that people quietly stopped believing in it. Sixty years of the same promise and the same caged arm doing the same weld. What actually changed is not the arm. AI finally gave machines the ability to see a messy, unstructured world and decide what to do inside it, and that single shift is dragging the whole industry off the factory floor and into everything else. Add a labor shortage that will not fix itself and defense budgets rearming after a decade of neglect, and an old boring industry is suddenly holding the hottest story in the market. Here is the whole thing, mapped into five layers plus the giants your broker hides from you. 🦾 INDUSTRIAL & AUTOMATION This is the oldest money in robotics and it behaves like it. The arm bolted to the assembly line, repeating one motion until the plant reboots. It is a cyclical business that rises and falls with manufacturing capex, and it has been mature for a generation. Boring is the whole point. Think of this layer as the electrical grid of robotics. Nobody gets rich betting on the grid, but nothing else runs without it, and reshoring hands it a slow steady tailwind as factories come home. My read is you own this for ballast, not for fireworks. It trades like machinery because that is exactly what it is. Tickers: $ABB , $ROK and $EMR 🔬 SURGICAL & MEDICAL This is quietly the best business model on the entire map. You sell the robot once, then you sell the single use instrument for every procedure it ever performs, forever, plus the service contract wrapped around it. The revenue compounds while the machine sits in the operating room earning its keep. It is the printer and ink trick, except the ink is a surgical handpiece and the customer is a hospital that trained its surgeons on your system and will never leave. That switching cost is the moat. My honest take is this is the least exciting and most dependable money in robotics, the one corner that already prints recurring revenue instead of promising it. Tickers: $ISRG , $SYK , $MDT , $GMED and $PRCT 📦 WAREHOUSE & LOGISTICS This is robotics with a customer who has no way out. Ecommerce volume keeps climbing, warehouse labor keeps getting scarcer and pricier, and the fulfillment center is where those two lines collide. The return on automating it stopped being a debate, which is why the largest retailers on earth are paying to automate their own supply chains. Once one of these systems gets poured into the concrete of a fulfillment center, it is as permanent as the plumbing. You do not rip it out, you build the next decade around it, and that hardens into contracted backlog you can see coming years out. The pure play system builder is the highest torque way to own this. The diversified industrials are the same bet with a seatbelt on. Tickers: $SYM , $TER , $ZBRA , $HON and $AMZN 👁️ VISION & COMPONENTS Here is the layer that actually turned the lights on. The arm has existed for six decades. What arrived recently is perception and reasoning, the chips and sensors that let a machine look at a bin of random parts and figure out what to grab. That is the unlock the whole robotics story was waiting for, and the reason it is happening now instead of in 1995. Watch how the AI boom paid out. The apps and the models got the headlines, the compute layer underneath captured the durable profit, because every last one of them had to buy it. Robots are the same shape. Every arm, every drone, every warehouse bot has to see and think, and they all buy that from the same short list. This is where I would concentrate. You stop guessing which application wins and own the thing all of them need. Tickers: $NVDA , $CGNX , $AMBA , $TDY , $ADI and $QCOM 🛸 AUTONOMOUS & DEFENSE This is the lottery ticket shelf, and it carries a live catalyst most of the map does not have. Drones stopped being toys the day cheap quadcopters started changing the outcome of a real war, and Western militaries are now scrambling to rebuild capability they let rot for ten years. The demand here is a national security problem, and national security money does not flinch at price. These are small jumpy names with revenue growth that reads like fiction until you pull the contracts behind it. This is where the shock numbers on this map live. Treat it like the shale patch in the early days. Most of these wildcatters will not survive, and the handful that hit will be enormous. Size it accordingly, because a lottery ticket big enough to sink your book is not a strategy. Tickers: $AVAV , $KTOS , $RCAT , $ONDS , $SERV and $TSLA 🌏 THE FOREIGN GIANTS Here is the part your US broker quietly leaves off the screen. The best of the muscle layer, the companies that set the standard for factory robotics over 40 years, are not American. They are Japanese and German, and they have owned this since before most of the loud new names existed. The catch is access. Some trade as thin ADRs that barely move, while the real liquidity sits on the home exchange in Tokyo or Frankfurt. Do not confuse missing from your watchlist with missing from the industry. I am listing these for awareness. The friction is getting clean exposure, never whether they matter. Tickers: $FANUY , $YASKY , $SIEGY and $KIGRY Step back and the whole board splits into two economies. One side already makes money and sleeps fine at night: the mature arms, the surgical machines locked into hospitals for a decade. The other side is a bet on tomorrow, the intelligence layer that taxes every robot and the defense names that either 10x or go to zero. If you want where I would actually put capital, it is the vision and components layer, because it gets paid no matter which robot company wins the application war. Now the claim I want you to argue with. The most mispriced idea on this entire map is Tesla sitting in a defense bucket. Optimus is a bet on a general purpose human shaped worker, which is a different universe from a surveillance drone. If it works, it is a bigger market than every other box here combined. If it does not, it is a car company running an expensive science project, and the market is pricing a blurry average of the two. There is no version where it stays in the middle.

randgroup's tweet photo. 🤖 RESEARCH: For 60 years a robot was blind muscle bolted to the floor. Expensive and completely dumb.

Then AI gave the arm eyes and a brain and the economics flipped.

This is the moment robotics stops being a cost center and starts eating labor. The physics finally works, and the market hasn't repriced it.

Robotics has been the future for so long that people quietly stopped believing in it. Sixty years of the same promise and the same caged arm doing the same weld. What actually changed is not the arm. AI finally gave machines the ability to see a messy, unstructured world and decide what to do inside it, and that single shift is dragging the whole industry off the factory floor and into everything else.

Add a labor shortage that will not fix itself and defense budgets rearming after a decade of neglect, and an old boring industry is suddenly holding the hottest story in the market. Here is the whole thing, mapped into five layers plus the giants your broker hides from you.

🦾 INDUSTRIAL & AUTOMATION

This is the oldest money in robotics and it behaves like it. The arm bolted to the assembly line, repeating one motion until the plant reboots. It is a cyclical business that rises and falls with manufacturing capex, and it has been mature for a generation. Boring is the whole point.
Think of this layer as the electrical grid of robotics.

Nobody gets rich betting on the grid, but nothing else runs without it, and reshoring hands it a slow steady tailwind as factories come home. My read is you own this for ballast, not for fireworks. It trades like machinery because that is exactly what it is.

Tickers: $ABB , $ROK and $EMR

🔬 SURGICAL & MEDICAL

This is quietly the best business model on the entire map. You sell the robot once, then you sell the single use instrument for every procedure it ever performs, forever, plus the service contract wrapped around it. The revenue compounds while the machine sits in the operating room earning its keep.

It is the printer and ink trick, except the ink is a surgical handpiece and the customer is a hospital that trained its surgeons on your system and will never leave. That switching cost is the moat. My honest take is this is the least exciting and most dependable money in robotics, the one corner that already prints recurring revenue instead of promising it.

Tickers: $ISRG , $SYK , $MDT , $GMED and $PRCT

📦 WAREHOUSE & LOGISTICS

This is robotics with a customer who has no way out. Ecommerce volume keeps climbing, warehouse labor keeps getting scarcer and pricier, and the fulfillment center is where those two lines collide. The return on automating it stopped being a debate, which is why the largest retailers on earth are paying to automate their own supply chains.

Once one of these systems gets poured into the concrete of a fulfillment center, it is as permanent as the plumbing. You do not rip it out, you build the next decade around it, and that hardens into contracted backlog you can see coming years out. The pure play system builder is the highest torque way to own this. The diversified industrials are the same bet with a seatbelt on.

Tickers: $SYM , $TER , $ZBRA , $HON and $AMZN

👁️ VISION & COMPONENTS

Here is the layer that actually turned the lights on. The arm has existed for six decades. What arrived recently is perception and reasoning, the chips and sensors that let a machine look at a bin of random parts and figure out what to grab. That is the unlock the whole robotics story was waiting for, and the reason it is happening now instead of in 1995.

Watch how the AI boom paid out. The apps and the models got the headlines, the compute layer underneath captured the durable profit, because every last one of them had to buy it. Robots are the same shape. Every arm, every drone, every warehouse bot has to see and think, and they all buy that from the same short list. This is where I would concentrate. You stop guessing which application wins and own the thing all of them need.

Tickers: $NVDA , $CGNX , $AMBA , $TDY , $ADI and $QCOM

🛸 AUTONOMOUS & DEFENSE

This is the lottery ticket shelf, and it carries a live catalyst most of the map does not have. Drones stopped being toys the day cheap quadcopters started changing the outcome of a real war, and Western militaries are now scrambling to rebuild capability they let rot for ten years. The demand here is a national security problem, and national security money does not flinch at price.

These are small jumpy names with revenue growth that reads like fiction until you pull the contracts behind it. This is where the shock numbers on this map live. Treat it like the shale patch in the early days. Most of these wildcatters will not survive, and the handful that hit will be enormous. Size it accordingly, because a lottery ticket big enough to sink your book is not a strategy.

Tickers: $AVAV , $KTOS , $RCAT , $ONDS , $SERV and $TSLA

🌏 THE FOREIGN GIANTS

Here is the part your US broker quietly leaves off the screen. The best of the muscle layer, the companies that set the standard for factory robotics over 40 years, are not American. They are Japanese and German, and they have owned this since before most of the loud new names existed.

The catch is access. Some trade as thin ADRs that barely move, while the real liquidity sits on the home exchange in Tokyo or Frankfurt. Do not confuse missing from your watchlist with missing from the industry. I am listing these for awareness. The friction is getting clean exposure, never whether they matter.

Tickers: $FANUY , $YASKY , $SIEGY and $KIGRY

Step back and the whole board splits into two economies. One side already makes money and sleeps fine at night: the mature arms, the surgical machines locked into hospitals for a decade. The other side is a bet on tomorrow, the intelligence layer that taxes every robot and the defense names that either 10x or go to zero. If you want where I would actually put capital, it is the vision and components layer, because it gets paid no matter which robot company wins the application war.

Now the claim I want you to argue with. The most mispriced idea on this entire map is Tesla sitting in a defense bucket. Optimus is a bet on a general purpose human shaped worker, which is a different universe from a surveillance drone. If it works, it is a bigger market than every other box here combined. If it does not, it is a car company running an expensive science project, and the market is pricing a blurry average of the two. There is no version where it stays in the middle.

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Who to follow

rangertra retweeted

3 days ago

15 Free Investing Tools

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ETF Tracker

@TheETFTracker

3 days ago

Roundhill is a leading thematic ETF provider with a diverse suite of alternative investment strategies Here is their full lineup of thematic ETFs: - Roundhill Memory ETF $DRAM - $22.16B - Magnificent Seven ETF $MAGS - $3.79B - Generative AI & Technology ETF $CHAT - $1.95B - Metaverse ETF $METV - $215.16M - Roundhill Humanoid Robotics ETF $HUMN - $83.48M - Space & Technology ETF $MARS - $72.76M - GLP-1 & Weight Loss ETF $OZEM - $57.48M - Sports Betting & iGaming ETF $BETZ - $53.60M - Roundhill HALO ETF $LOHA - $41.50M - Meme Stock ETF $MEME - $20.75M - Video Games ETF $NERD - $14.46M - China Magnificent Seven ETF $MAGC - $12.46M - Cannabis ETF $WEED - $8.89M - Uranium ETF $UX - $4.58M - Robotaxi, Autonomous Vehicles & Technology ETF $CABZ - $3.66M

TheETFTracker's tweet photo. Roundhill is a leading thematic ETF provider with a diverse suite of alternative investment strategies

Here is their full lineup of thematic ETFs:

- Roundhill Memory ETF $DRAM - $22.16B
- Magnificent Seven ETF $MAGS - $3.79B
- Generative AI & Technology ETF $CHAT - $1.95B
- Metaverse ETF $METV - $215.16M
- Roundhill Humanoid Robotics ETF $HUMN - $83.48M
- Space & Technology ETF $MARS - $72.76M
- GLP-1 & Weight Loss ETF $OZEM - $57.48M
- Sports Betting & iGaming ETF $BETZ - $53.60M
- Roundhill HALO ETF $LOHA - $41.50M
- Meme Stock ETF $MEME - $20.75M
- Video Games ETF $NERD - $14.46M
- China Magnificent Seven ETF $MAGC - $12.46M
- Cannabis ETF $WEED - $8.89M
- Uranium ETF $UX - $4.58M
- Robotaxi, Autonomous Vehicles & Technology ETF $CABZ - $3.66M

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rangertra retweeted

SensaMarket

@sensa_market

4 days ago

The Risk/Reward Map

rangertra retweeted

P Equity Research 📰

@pequityresearch

5 days ago

IDTechEx: Silicon Photonics Supply Chain Design (EDA) Siemens $SIE.DE Synopsys $SNPS Cadence Design Systems $CDNS Luceda Photonics PIC Design Nvidia $NVDA Broadcom $AVGO Celestial AI - acquired by Marvell Technology $MRVL Cisco Systems $CSCO Intel $INTC Lumentum $LITE Coherent $COHR MediaTek $2454.TW Sicoya - acquired by Suzhou Xilian Optoelectronics Ayar Labs Huawei Infinera - acquired by Nokia $NOK EIC Design Nvidia $NVDA Broadcom $AVGO Marvell Technology $MRVL Coherent $COHR Lumentum $LITE Infinera - acquired by Nokia $NOK Foundry Taiwan Semiconductor Manufacturing $TSM Intel $INTC GlobalFoundries $GFS Tower Semiconductor $TSEM United Microelectronics $UMC SMIC $0981.HK X-Fab Silicon Foundries $XFAB.PA Laser Sources Coherent $COHR Broadcom $AVGO Lumentum $LITE Sumitomo Electric Industries $5301.T Mitsubishi Electric $6503.T Furukawa Electric Group $5801.T GCS (Global Communication Semiconductors) $4991.TWO Photodiode Coherent $COHR MACOM Technology Solutions $MTSI Lumentum Holdings $LITE Broadcom $AVGO Furukawa Electric Group $5801.T GCS (Global Communication Semiconductors) $4991.TWO Photonics Assembling Foxconn (Hon Hai Precision Industry) $2317.TW FOCI Fiber Optic Communication $3363.TW Fabrinet $FN PHIX Photonics Assembly Optical Interconnect Components Himax Technologies $HIMX Browave $3163.TW TFC Optical Communication - acquired by Zhongji Innolight $300308.SZ FIT (Foxconn Interconnect Technology) $6088.HK Sumitomo Electric Industries $5301.T FOCI Fiber Optic Communication $3363.TW Senko Advancced Components TwinstarTech Technologies OSAT ASE Technology $ASX ShunSin Technology $6451.TW Sigurd Microelectronics $6257.TW Winstek Semiconductor $3265.TWO SPIL - part of ASE Technology $ASX E/O Testing Keysight Technologies $KEYS Teradyne $TER FormFactor $FORM EXFO

pequityresearch's tweet photo. IDTechEx: Silicon Photonics Supply Chain

Design (EDA)

Siemens $SIE.DE
Synopsys $SNPS
Cadence Design Systems $CDNS
Luceda Photonics

PIC Design

Nvidia $NVDA
Broadcom $AVGO
Celestial AI - acquired by Marvell Technology $MRVL
Cisco Systems $CSCO
Intel $INTC
Lumentum $LITE
Coherent $COHR
MediaTek $2454.TW
Sicoya - acquired by Suzhou Xilian Optoelectronics
Ayar Labs
Huawei
Infinera - acquired by Nokia $NOK

EIC Design

Nvidia $NVDA
Broadcom $AVGO
Marvell Technology $MRVL
Coherent $COHR
Lumentum $LITE
Infinera - acquired by Nokia $NOK

Foundry

Taiwan Semiconductor Manufacturing $TSM
Intel $INTC
GlobalFoundries $GFS
Tower Semiconductor $TSEM
United Microelectronics $UMC
SMIC $0981.HK
X-Fab Silicon Foundries $XFAB.PA

Laser Sources

Coherent $COHR
Broadcom $AVGO
Lumentum $LITE
Sumitomo Electric Industries $5301.T
Mitsubishi Electric $6503.T
Furukawa Electric Group $5801.T
GCS (Global Communication Semiconductors) $4991.TWO

Photodiode

Coherent $COHR
MACOM Technology Solutions $MTSI
Lumentum Holdings $LITE
Broadcom $AVGO
Furukawa Electric Group $5801.T
GCS (Global Communication Semiconductors) $4991.TWO

Photonics Assembling

Foxconn (Hon Hai Precision Industry) $2317.TW
FOCI Fiber Optic Communication $3363.TW
Fabrinet $FN
PHIX Photonics Assembly

Optical Interconnect Components

Himax Technologies $HIMX
Browave $3163.TW
TFC Optical Communication - acquired by Zhongji Innolight $300308.SZ
FIT (Foxconn Interconnect Technology) $6088.HK
Sumitomo Electric Industries $5301.T
FOCI Fiber Optic Communication $3363.TW
Senko Advancced Components
TwinstarTech Technologies

OSAT

ASE Technology $ASX
ShunSin Technology $6451.TW
Sigurd Microelectronics $6257.TW
Winstek Semiconductor $3265.TWO
SPIL - part of ASE Technology $ASX

E/O Testing

Keysight Technologies $KEYS
Teradyne $TER
FormFactor $FORM
EXFO

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rangertra retweeted

P Equity Research 📰

@pequityresearch

4 days ago

Semicon put out a very well done mapping of the entire semiconductor industry. This is excellent work👏

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rangertra retweeted

5 days ago

Market leadership shifts from week to week, tracking the strongest and weakest performing themes can help identify emerging opportunities, sector rotation, and areas where institutional money is flowing.

equitydd's tweet photo. Market leadership shifts from week to week, tracking the strongest and weakest performing themes can help identify emerging opportunities, sector rotation, and areas where institutional money is flowing. https://t.co/h6kK9SsWWE

rangertra retweeted

Shay Boloor

@StockSavvyShay

5 days ago

10 WAYS TO PLAY ROBOTICS IN 2026 1. $TER tests AI chips & owns the cobots through Universal Robots 2. $NOVT precision photonics & motion inside surgical & industrial robots 3. $OUST eyes & perception for physical AI machines that need to see & map physical world 4. $HIMX provides vision & display chips that help robots process images, depth & sensor inputs at edge 5. $AMBQ low power edge AI layer for robots & devices that need intelligence without burning massive amounts of energy 6. $ON becomes physical AI edge stack after acquiring $SYNA combining power, sensing, connectivity & edge AI for robotics 7. $SYM warehouse automation pure play using robotics & software to redesign how goods move through fulfillment centers 8. $VPG sits in force sensing & precision measurement layer that helps robots understand pressure, weight & real world movement 9. $TSLA humanoid platform bet with Optimus combining custom hardware, AI inference, autonomy software & real world manufacturing scale 10. $CCXI gives public market exposure to Agility Robotics which is one of clearest pure play humanoid robotics companies through its Digit warehouse robot

StockSavvyShay's tweet photo. 10 WAYS TO PLAY ROBOTICS IN 2026

1. $TER tests AI chips & owns the cobots through Universal Robots
2. $NOVT precision photonics & motion inside surgical & industrial robots
3. $OUST eyes & perception for physical AI machines that need to see & map physical world
4. $HIMX provides vision & display chips that help robots process images, depth & sensor inputs at edge
5. $AMBQ low power edge AI layer for robots & devices that need intelligence without burning massive amounts of energy
6. $ON becomes physical AI edge stack after acquiring $SYNA combining power, sensing, connectivity & edge AI for robotics
7. $SYM warehouse automation pure play using robotics & software to redesign how goods move through fulfillment centers
8. $VPG sits in force sensing & precision measurement layer that helps robots understand pressure, weight & real world movement
9. $TSLA humanoid platform bet with Optimus combining custom hardware, AI inference, autonomy software & real world manufacturing scale
10. $CCXI gives public market exposure to Agility Robotics which is one of clearest pure play humanoid robotics companies through its Digit warehouse robot

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rangertra retweeted

Rosanna Prestia, MBA

@RosannaInvests

7 days ago

🚨 Biggest contracted-revenue books across names I track → RPO and backlog, sorted. Labeled by metric, because GAAP RPO, backlog, and pro-forma are not the same thing. 1. $NBIS ~$50B backlog → Meta + Microsoft, most converts 2027+ 2. $IREN ~$9.7B → Microsoft 5-yr, $3.4B ARR target end-26 3. $RKLB $2.22B backlog → ~$799M next 12mo 4. $ARM $2.07B RPO → GAAP, excludes royalties 5. $WYFI $924M RPO → 10-yr Nscale contract 6. $PL $816M RPO → ~$286M next 12mo 7. $EOSE $645M backlog 8. $ONDS ~$457M → pro-forma Total isn't near-term → $NBIS is biggest but back-end loaded; $RKLB and $PL convert soonest. And the two biggest books lean hardest on one or two customers: $NBIS ~80% $Meta+ $MSFT, $IREN ~55% $MSFT. Long $NBIS $IREN $RKLB $WYFI $PL $EOSE $ONDS

RosannaInvests's tweet photo. 🚨 Biggest contracted-revenue books across names I track → RPO and backlog, sorted. Labeled by metric, because GAAP RPO, backlog, and pro-forma are not the same thing.

1. $NBIS ~$50B backlog → Meta + Microsoft, most converts 2027+
2. $IREN ~$9.7B → Microsoft 5-yr, $3.4B ARR target end-26
3. $RKLB $2.22B backlog → ~$799M next 12mo
4. $ARM $2.07B RPO → GAAP, excludes royalties
5. $WYFI $924M RPO → 10-yr Nscale contract
6. $PL $816M RPO → ~$286M next 12mo
7. $EOSE $645M backlog
8. $ONDS ~$457M → pro-forma

Total isn't near-term → $NBIS is biggest but back-end loaded; $RKLB and $PL convert soonest. And the two biggest books lean hardest on one or two customers: $NBIS ~80% $Meta+ $MSFT, $IREN ~55% $MSFT.

Long $NBIS $IREN $RKLB $WYFI $PL $EOSE $ONDS

rangertra retweeted

9 days ago

Humanoid Robot Makers

217

rangertra retweeted

9 days ago

Nvidia Vs SpaceX

rangertra retweeted

11 days ago

The AI Supercycle

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rangertra retweeted

11 days ago

High Growth Big Tech 2026 $MU $SNDK $AMD $INTC $AMAT $LRCX $DELL $MRVL $WDC $STX $GLW $ASX $COHR $TER $CIEN $ALAB $UMC $LITE $NBIS This watchlist highlights technology leaders with exceptional YTD performance alongside P/S and PEG metrics to help identify stocks where growth and valuation can be analyzed together.

equitydd's tweet photo. High Growth Big Tech 2026

$MU $SNDK $AMD $INTC $AMAT $LRCX $DELL $MRVL $WDC $STX $GLW $ASX $COHR $TER $CIEN $ALAB $UMC $LITE $NBIS

This watchlist highlights technology leaders with exceptional YTD performance alongside P/S and PEG metrics to help identify stocks where growth and valuation can be analyzed together.

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rangertra retweeted

16 days ago

The strongest building and construction stocks continue to separate from the pack, led by HVAC, building automation, infrastructure, and specialty materials companies benefiting from long-term trends in data centers, electrification, energy efficiency, and construction spending. $MOD $AAON $AZZ $CARR $TREX $TGEN $TT $JCI $SSD $GFF #BuildingProducts #Construction #Infrastructure #HVAC #IndustrialStocks #StockMarket #Investing

equitydd's tweet photo. The strongest building and construction stocks continue to separate from the pack, led by HVAC, building automation, infrastructure, and specialty materials companies benefiting from long-term trends in data centers, electrification, energy efficiency, and construction spending.

$MOD $AAON $AZZ $CARR $TREX $TGEN $TT $JCI $SSD $GFF

#BuildingProducts #Construction #Infrastructure #HVAC #IndustrialStocks #StockMarket #Investing

rangertra retweeted

12 days ago

The US Dollar System

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