🇨🇭 Global One SI - Prompt
$RCAT/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$RCAT Red Cat Expands Blue Ops Manufacturing Capabilities Though Strategic Partnership with HADDY
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Traffic through the Strait of Hormuz just hit its highest level since the opening days of the war.
A total of 21 ships passed through over the weekend which is a sign that movement through the corridor is picking back up.
A total of 21 ships passed through over the weekend which is a sign that movement through the corridor is picking back up.
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🚨Best 3 ETF buys in the entire market right now🚀
1. $NASA — Space ETF
SPACEX 15.33%
$ASTS 7.74%
ROCKET LAB $RLAB 6.97%
PLANET LABS $PL 6.86%
FIREFLY AEROSPACE $FLY 5.13%
ECHOSTAR CORP $SATS 3.99%
2. $DRAM — Memory HBM
$MU 24%
Samsung 24%
SK Hynix 23%
$SNDK 4.9%
Kioxia 4.8%
$RDW
3. $DRGN — China AI stocks including chip companies Zhongji , $BABA , Cambricon
1. $NASA — Space ETF
SPACEX 15.33%
$ASTS 7.74%
ROCKET LAB $RLAB 6.97%
PLANET LABS $PL 6.86%
FIREFLY AEROSPACE $FLY 5.13%
ECHOSTAR CORP $SATS 3.99%
2. $DRAM — Memory HBM
$MU 24%
Samsung 24%
SK Hynix 23%
$SNDK 4.9%
Kioxia 4.8%
$RDW
3. $DRGN — China AI stocks including chip companies Zhongji , $BABA , Cambricon
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26 AI Optics Companies Across Ecosystem ::
Active Optics & Transceivers — $LITE, $COHR, $AAOI, $FN, $CIEN, $INFN
Passive & Supporting Components — $MTSI, $LASR, $LPTH, $POET, $ALMU, $OPTX
Networking & Optical Switching — $ANET, $MRVL, $AVGO, $CSCO, $NVDA
Optical Materials & Foundry — $GLW, $AXTI, $TSM, $TSEM, $AMKR
Test, Measurement & Mfg. Enablers — $AEHR, $FORM, $KEYS, $ONTO, $VIAV
Active Optics & Transceivers — $LITE, $COHR, $AAOI, $FN, $CIEN, $INFN
Passive & Supporting Components — $MTSI, $LASR, $LPTH, $POET, $ALMU, $OPTX
Networking & Optical Switching — $ANET, $MRVL, $AVGO, $CSCO, $NVDA
Optical Materials & Foundry — $GLW, $AXTI, $TSM, $TSEM, $AMKR
Test, Measurement & Mfg. Enablers — $AEHR, $FORM, $KEYS, $ONTO, $VIAV
🇨🇭 Global One SI - Prompt
🚨Best 3 ETF buys in the entire market right now🚀 1. $NASA — Space ETF SPACEX 15.33% $ASTS 7.74% ROCKET LAB $RLAB 6.97% PLANET LABS $PL 6.86% FIREFLY AEROSPACE $FLY 5.13% ECHOSTAR CORP $SATS 3.99% 2. $DRAM — Memory HBM $MU 24% Samsung 24% SK Hynix 23% $SNDK…
📈Memory Super-Cycle will be secular for few years driven by AI and markets are still pricing them as cyclical peak !! $MU $SNDK
The best way to participate in this is to buy $DRAM that holds SK Hynix and Samsung !!
The best way to participate in this is to buy $DRAM that holds SK Hynix and Samsung !!
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🚨Photonics is the next big wave in AI Buildout
Lets deep-dive into basics and key 5 companies 👇
⚡ Photonics in AI is the use of light (photons) instead of electricity (electrons) to transmit, process, and manage data within artificial intelligence systems.
📈 As AI models grow, traditional copper-based electrical interconnects face bottlenecks in bandwidth and power efficiency; photonics provides a solution by enabling ultra-fast, low-latency data transfer between AI chips (GPUs/XPUs) and data centers, while significantly reducing power consumption and heat.
High-Speed Data Transfer: Photonics allows data centers to move massive amounts of data between GPU clusters, essential for training large language models (LLMs)
Silicon Photonics (SiPh): This integrates optical components onto a single silicon chip using traditional CMOS manufacturing.
Key Components in Photonics AI:
1.Photonic Transceivers — An optical transceiver converts electrical signals into light and back again. SiPh-based transceivers (like 800G and 1.6T) are crucial in AI data centers. They connect switch ports and GPU clusters via fiber optic cables. Unlike traditional modules, SiPh transceivers integrate multiple optical components onto a single chip, creating smaller and lower-cost components.
2.Co-Packaged Optics (CPO): The next step in AI, where the transceiver is integrated directly into the same package as the GPU/switch ASIC — eliminating long copper paths.
3.External Laser Sources (ELS): Pluggable modules used in CPO systems to place the laser — the most failure-prone component — on the front panel for easy replacement.
🟢 5 Key companies in Photonics AI:
$LITE: Engines Driving Lumentum Growth:
1.Cloud Transceivers — Critical backbone of photonics in AI connect. Lumentum is now “lead pack” supplier for 1.6T.
2.OCS (Optical Circuit Switches) — Ramping to >$1B 2027 run rate; $400M+ order backlog to be fulfilled in 2H CY26.
3.Scale-Out CPO — High-speed optical fiber links connecting multiple compute clusters horizontally for AI training fabrics.
4.Scale-Up CPO — Electrical links connecting GPUs within/between racks. Opportunity 3X–4X larger than Scale-Out CPO.
Optics leader $LITE: >70% Growth CAGR 🚀
Lets deep-dive into basics and key 5 companies 👇
⚡ Photonics in AI is the use of light (photons) instead of electricity (electrons) to transmit, process, and manage data within artificial intelligence systems.
📈 As AI models grow, traditional copper-based electrical interconnects face bottlenecks in bandwidth and power efficiency; photonics provides a solution by enabling ultra-fast, low-latency data transfer between AI chips (GPUs/XPUs) and data centers, while significantly reducing power consumption and heat.
High-Speed Data Transfer: Photonics allows data centers to move massive amounts of data between GPU clusters, essential for training large language models (LLMs)
Silicon Photonics (SiPh): This integrates optical components onto a single silicon chip using traditional CMOS manufacturing.
Key Components in Photonics AI:
1.Photonic Transceivers — An optical transceiver converts electrical signals into light and back again. SiPh-based transceivers (like 800G and 1.6T) are crucial in AI data centers. They connect switch ports and GPU clusters via fiber optic cables. Unlike traditional modules, SiPh transceivers integrate multiple optical components onto a single chip, creating smaller and lower-cost components.
2.Co-Packaged Optics (CPO): The next step in AI, where the transceiver is integrated directly into the same package as the GPU/switch ASIC — eliminating long copper paths.
3.External Laser Sources (ELS): Pluggable modules used in CPO systems to place the laser — the most failure-prone component — on the front panel for easy replacement.
🟢 5 Key companies in Photonics AI:
$LITE: Engines Driving Lumentum Growth:
1.Cloud Transceivers — Critical backbone of photonics in AI connect. Lumentum is now “lead pack” supplier for 1.6T.
2.OCS (Optical Circuit Switches) — Ramping to >$1B 2027 run rate; $400M+ order backlog to be fulfilled in 2H CY26.
3.Scale-Out CPO — High-speed optical fiber links connecting multiple compute clusters horizontally for AI training fabrics.
4.Scale-Up CPO — Electrical links connecting GPUs within/between racks. Opportunity 3X–4X larger than Scale-Out CPO.
Optics leader $LITE: >70% Growth CAGR 🚀
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🇨🇭 Global One SI - Prompt
🚨Photonics is the next big wave in AI Buildout Lets deep-dive into basics and key 5 companies 👇 ⚡ Photonics in AI is the use of light (photons) instead of electricity (electrons) to transmit, process, and manage data within artificial intelligence systems.…
$OPTX — Syntec Optics:
The Precision Optics Sleeper—
While the market focuses on chips and transceivers, someone has to make the physical optical components that go inside them — the lenses, filters, coatings, and assemblies that make light bend correctly.
Syntec Optics is that company, and it’s just entering the AI data center market.
Syntec Optics is one of the largest custom and diverse end-market optics and photonics manufacturers in US, with product lines spanning defense, biomedical, space, and now AI data center optics.
4 Engines Driving OPTX Growth:
1.AI Data Center Optics — 2026 started with the beginning of the production stage for the AI data center product line — the company’s newest and highest-growth opportunity, transitioning from design-stage programs into revenue.
2.Gross Margin Inflection — Gross margin saw significant expansion, nearly doubling compared to both the prior quarter and prior year — from 12–13% to 24% in Q4 2025 — driven by improved manufacturing yields and cost discipline.
3.Defense Tech & Onshoring — Syntec sees positive momentum in defense tech, pointing to structural shifts toward domestic sourcing of optical systems driven by the 2026 Defense Authorization Act , which requires contractors to reduce reliance on adversary nations by 2030.
4.Space Optics — Syntec shipped over $2.6 million in space optics in 2025 and reached its 17,000th space optic manufactured , with sustained demand that could nearly 3x 2026 deliveries
The Precision Optics Sleeper—
While the market focuses on chips and transceivers, someone has to make the physical optical components that go inside them — the lenses, filters, coatings, and assemblies that make light bend correctly.
Syntec Optics is that company, and it’s just entering the AI data center market.
Syntec Optics is one of the largest custom and diverse end-market optics and photonics manufacturers in US, with product lines spanning defense, biomedical, space, and now AI data center optics.
4 Engines Driving OPTX Growth:
1.AI Data Center Optics — 2026 started with the beginning of the production stage for the AI data center product line — the company’s newest and highest-growth opportunity, transitioning from design-stage programs into revenue.
2.Gross Margin Inflection — Gross margin saw significant expansion, nearly doubling compared to both the prior quarter and prior year — from 12–13% to 24% in Q4 2025 — driven by improved manufacturing yields and cost discipline.
3.Defense Tech & Onshoring — Syntec sees positive momentum in defense tech, pointing to structural shifts toward domestic sourcing of optical systems driven by the 2026 Defense Authorization Act , which requires contractors to reduce reliance on adversary nations by 2030.
4.Space Optics — Syntec shipped over $2.6 million in space optics in 2025 and reached its 17,000th space optic manufactured , with sustained demand that could nearly 3x 2026 deliveries
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🇨🇭 Global One SI - Prompt
$OPTX — Syntec Optics: The Precision Optics Sleeper— While the market focuses on chips and transceivers, someone has to make the physical optical components that go inside them — the lenses, filters, coatings, and assemblies that make light bend correctly.…
$CIEN — Ciena Corporation:
The Coherent Optical Backbone—
Lumentum and $COHR connect GPUs inside the data center. Ciena connects the data centers themselves. It’s a different layer of the same photonics stack — and arguably the one with the deepest moat, given its decade-long lead in coherent optical technology.
WaveLogic 6 Extreme (WL6e), built on a 3nm process, is the industry’s first 1.6 Terabit-per-second coherent solution — and delivers a 50% reduction in power and space per bit versus prior technology.
4 Engines Driving CIEN Growth:
1.WaveLogic 6 Extreme (WL6e) — WL6e has reached 90 total customers, adding 18 new ones in Q1 FY2026 alone, with direct cloud provider revenue growing 76% year-over-year to represent 42% of total revenue.
2.WL6 Nano Pluggables — In FY2025, Ciena surpassed its target of more than doubling pluggable revenue, reaching over $168 million, with WL6 Nano 800G pluggables now shipping to multiple cloud providers for testing and certification.
3.Inside the Data Center (Nubis) — Following the Nubis acquisition, Ciena is now moving inside the data center, providing optical interconnects that allow thousands of GPUs to function as a single massive computer for scale-up and scale-out workloads.
4.Record Backlog — Ciena enters 2026 with a staggering $7.8 billion in orders. management has projected 2026 revenue between arnd $6 billion — roughly 24% growth at the midpoint📈
The Coherent Optical Backbone—
Lumentum and $COHR connect GPUs inside the data center. Ciena connects the data centers themselves. It’s a different layer of the same photonics stack — and arguably the one with the deepest moat, given its decade-long lead in coherent optical technology.
WaveLogic 6 Extreme (WL6e), built on a 3nm process, is the industry’s first 1.6 Terabit-per-second coherent solution — and delivers a 50% reduction in power and space per bit versus prior technology.
4 Engines Driving CIEN Growth:
1.WaveLogic 6 Extreme (WL6e) — WL6e has reached 90 total customers, adding 18 new ones in Q1 FY2026 alone, with direct cloud provider revenue growing 76% year-over-year to represent 42% of total revenue.
2.WL6 Nano Pluggables — In FY2025, Ciena surpassed its target of more than doubling pluggable revenue, reaching over $168 million, with WL6 Nano 800G pluggables now shipping to multiple cloud providers for testing and certification.
3.Inside the Data Center (Nubis) — Following the Nubis acquisition, Ciena is now moving inside the data center, providing optical interconnects that allow thousands of GPUs to function as a single massive computer for scale-up and scale-out workloads.
4.Record Backlog — Ciena enters 2026 with a staggering $7.8 billion in orders. management has projected 2026 revenue between arnd $6 billion — roughly 24% growth at the midpoint📈
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🇨🇭 Global One SI - Prompt
$LITE/USD H2 #Indicator #Signal #Trading #GlobalOneAI
🔥 Lumentum had published investor presentation.
What drives $LITE ??
4 Engines Driving Lumentum Growth -
1. Cloud Transcievers : Optical transceivers are swappable hardware devices that convert electrical signals into optical (light) signals and vice-versa. Critical backbone of photonics in AI connect.
Lumentum indicated a Turning Point Reached in Cloud Transceivers. They have become “lead pack” of suppliers for 1.6T
2. OCS (Optical Circuit Switches): OCS are advanced, high-density network switching devices designed for AI and cloud data centers.
Ramping to >$1B 2027 Run Rate, OCS Order backlog of $400M+ to be fulfilled in 2H CY26
3. Scale-out CPO: In optics and AI data center networking, scale-out refers to the use of high-speed optical fiber links to connect multiple compute clusters, racks, or servers horizontally.
Scale-out creates vast, high-bandwidth fabrics essential for AI training and large-scale parallel processing
“Copper Wall” Requires Scale-Up CPO. Generational shift to optical as copper begins to reach limits
4. Scale-Up CPO:
Scale-Up means: electrical links connecting GPUs within and between a small number of racks
Opportunity for Lumentum is 3X - 4X larger than Scale-out CPO
The Optics Arms Race: >70% Growth CAGR
I like $LITE with multiple growth engines focused completely on AI Networking and huge available capacity to meet demand when compared to other Optic companies
(Coherent $COHR has more diversified range of services other than AI n/w)
What drives $LITE ??
4 Engines Driving Lumentum Growth -
1. Cloud Transcievers : Optical transceivers are swappable hardware devices that convert electrical signals into optical (light) signals and vice-versa. Critical backbone of photonics in AI connect.
Lumentum indicated a Turning Point Reached in Cloud Transceivers. They have become “lead pack” of suppliers for 1.6T
2. OCS (Optical Circuit Switches): OCS are advanced, high-density network switching devices designed for AI and cloud data centers.
Ramping to >$1B 2027 Run Rate, OCS Order backlog of $400M+ to be fulfilled in 2H CY26
3. Scale-out CPO: In optics and AI data center networking, scale-out refers to the use of high-speed optical fiber links to connect multiple compute clusters, racks, or servers horizontally.
Scale-out creates vast, high-bandwidth fabrics essential for AI training and large-scale parallel processing
“Copper Wall” Requires Scale-Up CPO. Generational shift to optical as copper begins to reach limits
4. Scale-Up CPO:
Scale-Up means: electrical links connecting GPUs within and between a small number of racks
Opportunity for Lumentum is 3X - 4X larger than Scale-out CPO
The Optics Arms Race: >70% Growth CAGR
I like $LITE with multiple growth engines focused completely on AI Networking and huge available capacity to meet demand when compared to other Optic companies
(Coherent $COHR has more diversified range of services other than AI n/w)
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$GOOG released TurboQuant -- a KV cache compression algorithm enabling AI inference with 6x less memory and 8x faster attention computation.
🚀Why is it a Bullish Case for $CRDO:
1. Efficient AI = More Interconnects:
- The 'Jevons Paradox' logic applies here: TurboQuant will likely accelerate AI adoption, which already requires a massive buildout of data center infrastructure.
- Every new rack, every new GPU cluster, every new inference node needs AECs and SerDes — Credo's core products.
2. TurboQuant could shift workloads toward more distributed inference:
- One scenario is that AI inference market share shifts from expensive GPUs with HBM to CPUs running on traditional server memory like DDR5 — since TurboQuant's 8x increase in KV cache speed makes this more feasible.
- CPU-based inference nodes means more interconnects, not fewer — a direct tailwind for Credo's HiWire AEC business
3 Key Products of Credo Tech:
a. Weaver (OmniConnect): TurboQuant's is making AI inference more efficient — compressing the data an AI needs to "think" through a long conversation or document. This data still needs to travel fast between the AI processor and memory. That's exactly the gap Weaver fills.
Weaver is engineered specifically to overcome memory bottlenecks in AI inference workloads, boosting I/O density by up to 10x
b. MicroLED ALCs (Active Laser Cable): These are special cables that use optics to send data over longer distances (up to 30 meters). This is cheaper alternative to traditional copper based fibers (Hyperlume acquisition)
c. ZeroFlap Optics: Smart connectors that monitor the health of the network in real-time to prevent crashes or slowdowns. Credo's Zero-Flap AECs deliver up to 1,000 times better reliability than traditional laser-based optical modules while consuming roughly half the power — and they achieve this through monitoring health in real time.
Growth shows.. Numbers speak..
🚀Why is it a Bullish Case for $CRDO:
1. Efficient AI = More Interconnects:
- The 'Jevons Paradox' logic applies here: TurboQuant will likely accelerate AI adoption, which already requires a massive buildout of data center infrastructure.
- Every new rack, every new GPU cluster, every new inference node needs AECs and SerDes — Credo's core products.
2. TurboQuant could shift workloads toward more distributed inference:
- One scenario is that AI inference market share shifts from expensive GPUs with HBM to CPUs running on traditional server memory like DDR5 — since TurboQuant's 8x increase in KV cache speed makes this more feasible.
- CPU-based inference nodes means more interconnects, not fewer — a direct tailwind for Credo's HiWire AEC business
3 Key Products of Credo Tech:
a. Weaver (OmniConnect): TurboQuant's is making AI inference more efficient — compressing the data an AI needs to "think" through a long conversation or document. This data still needs to travel fast between the AI processor and memory. That's exactly the gap Weaver fills.
Weaver is engineered specifically to overcome memory bottlenecks in AI inference workloads, boosting I/O density by up to 10x
b. MicroLED ALCs (Active Laser Cable): These are special cables that use optics to send data over longer distances (up to 30 meters). This is cheaper alternative to traditional copper based fibers (Hyperlume acquisition)
c. ZeroFlap Optics: Smart connectors that monitor the health of the network in real-time to prevent crashes or slowdowns. Credo's Zero-Flap AECs deliver up to 1,000 times better reliability than traditional laser-based optical modules while consuming roughly half the power — and they achieve this through monitoring health in real time.
Growth shows.. Numbers speak..
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🇨🇭 Global One SI - Prompt
$KTOS/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Jefferies upgrades Kratos $KTOS to Buy with an $85 price target, citing a $14B pipeline and a Valkyrie production ramp to 40 units by 2028.
With hypersonic revenue set to double in 2026, Kratos secures a dominant lead in affordable, high growth defense tech.
With hypersonic revenue set to double in 2026, Kratos secures a dominant lead in affordable, high growth defense tech.
🇨🇭 Global One SI - Prompt
$WDC/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Morgan Stanley raises Western Digital $WDC price target to $380, maintaining an Overweight rating.
With HDD production sold out through 2026 and shortages projected through CY28, Western Digital secures record pricing power and margin upside.
With HDD production sold out through 2026 and shortages projected through CY28, Western Digital secures record pricing power and margin upside.
🇨🇭 Global One SI - Prompt
$RCAT/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Red Cat $RCAT partners with HADDY to double its Blue Ops USV production using AI powered robotic 3D printing.
By adopting a microfactory model, Red Cat secures a scalable, on demand manufacturing lead for autonomous maritime defense.
By adopting a microfactory model, Red Cat secures a scalable, on demand manufacturing lead for autonomous maritime defense.
🇨🇭 Global One SI - Prompt
$CRWD/USD H2 #Indicator #Signal #Trading #GlobalOneAI
CrowdStrike $CRWD increased its share buyback program to $1.5B, adding $500M in new capacity.
Citing a "valuation disconnect" and record AI momentum, the move underscores a path toward $20B ARR by FY2036 and enhanced value for long term holders.
Citing a "valuation disconnect" and record AI momentum, the move underscores a path toward $20B ARR by FY2036 and enhanced value for long term holders.
🇨🇭 Global One SI - Prompt
$PL/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Planet Labs $PL shipped 3 Pelican satellites to Vandenberg for a SpaceX launch, accelerating its lead in high resolution Earth intelligence.
With onboard NVIDIA $NVDA AI and 50cm imagery, the fleet delivers near real time insights for global security.
With onboard NVIDIA $NVDA AI and 50cm imagery, the fleet delivers near real time insights for global security.