Silas

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Silas

Silas

@CalmeSae

One of Wun | #RWA Fiend | Moderator | Ambassador | backend-dev ~ Modular Finance is Multi-chain.

Katılım Eylül 2025
460 Takip Edilen194 Takipçiler
Silas
Silas@CalmeSae·
@TheLongInvest CEO buying their own shares is one of the strongest tells out there. Skin in the game doesn't lie. $Troo quietly stacking real lending, property assets and fintech layers feels like that kind of conviction play.
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The Long Investor
The Long Investor@TheLongInvest·
I will never forget when Bezos bought just 1 share of $AMZN in May 2023, when he owned Billions of dollars worth of stock It was the single clearest signal to the market that $AMZN was a clear buy. So we added and made it our largest position at the time Next quarter they turned net profitable and the share price ran +120% When CEO's are adding, they know where the company is going and willing to both gain from it and tell you to buy. $ADUR $SOFI $UNH $OSCR...+140% gain in 6 weeks after this buy Are all recent examples
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Silas
Silas@CalmeSae·
@yianisz This AI memory chain is getting deep with all the specialized capex flowing downstream. $Troo quietly stacking real lending, property assets and fintech layers feels way more grounded.
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Yiannis Zourmpanos
Yiannis Zourmpanos@yianisz·
The AI memory chain is where the money is quietly moving now. It starts with $NVDA/ $AMD GPU demand. That forces hyperscalers to lock up HBM, DRAM and NAND from $MU, SK Hynix, Samsung and $SNDK. Then the real spending begins. Memory makers raise capex. That flows first to $LRCX for TSV etch/deposition, then $ONTO/ $CAMT for inspection, $ENTG/ $ACMR for materials and cleaning, $UCTT/ $ICHR for gas and fluid subsystems, $AMKR/ $ASX for packaging and $COHU for thermal test. HBM4 is not normal DRAM. It is stacked, bonded, inspected, cleaned, packaged and tested like a monster. The money is flowing from AI demand into manufacturing complexity. That’s the trade.
Yiannis Zourmpanos tweet media
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Silas
Silas@CalmeSae·
@0xNonceSense Big IPOs sucking up $200B fresh capital? That forces big funds to sell winners like NVDA to make room. Classic squeeze setup. $Troo quietly stacking lending, real estate and fintech layers feels way more grounded.
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Nonzee
Nonzee@0xNonceSense·
THIS IS HOW AI BUBBLE ENDS. SpaceX, OpenAI, and Anthropic are all racing to IPO at the same time. The market needs to come up with $200 BILLION in fresh capital to absorb them. That money has to come from somewhere. Large funds will start selling their biggest tech positions to free up cash. NVIDIA, Microsoft, Google will be the first to get sold. The problem is, those three names are carrying the entire S&P 500. When they drop, everything drops. This exact setup played out during the COVID-era IPO wave. Rivian, Coinbase, Robinhood all went public at absurd valuations. When the Fed tightened and liquidity disappeared, every single one crashed over 80%. AI and tech are already stretched thin. A $200B capital drain on top of that creates a forced liquidation event. If you've been following me, you already caught the $16k bottom and the $126k top. Missed those calls? The next one is coming. Follow me and turn notifications on.
Nonzee@0xNonceSense

🚨 SOMETHING VERY BAD IS HAPPENING The stock market keeps trying to push higher. OpenAI and Anthropic are now worth $2.1T. That is 10% of the entire Nasdaq. Look at the math: – $450B burned per year – $50B in actual revenue The entire AI bull case depends on one assumption: Inference gets cheaper. That is how funds justify the math. Spend massively today, scale later, margins explode when inference costs collapse. But that assumption is breaking: - Memory is getting expensive. - Compute is not getting cheap fast enough. - Inference is not falling the way everyone modeled. And if inference does not get dramatically cheaper, the whole AI margin story starts to crack. The loop is obvious: – Big players fund each other – Partnerships look perfect on paper – Revenue moves around inside the same system Everyone calls it growth. I call it the final stage of mania. In 2000, companies added “.com” to the name and valuations exploded: – Small profits – Massive valuations – Perfect stories Then reality hit. Nasdaq collapsed 80%. Now companies add “AI” to the name and reprice instantly: – Small profits – Massive valuations – Perfect AI stories This is the dot-com bubble with better AI branding. And bubbles do not warn you before they break. They break when everyone thinks the story is untouchable. The next move won’t wait for you. Follow and turn notifications on.

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Silas
Silas@CalmeSae·
@CryptoTice_ Turkey dumping 89% of its Treasuries in one month? China and Japan peeling back too the big holders are quietly walking away. $Troo stacking real lending, property assets and fintech layers feels like actual ballast in this environment.
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Crypto Tice
Crypto Tice@CryptoTice_·
BREAKING: Turkey just sold nearly all of its U.S. Treasury holdings. In one month. February: $15,700,000,000. March: $1,800,000,000. 89% gone. China reducing Treasuries to 2008 lows. Japan preparing its largest dump in 30 years. Now Turkey selling everything. One by one the largest holders of U.S. debt are walking away. The dollar system is losing its foundation. And nobody is talking about it.
Crypto Tice tweet media
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Silas
Silas@CalmeSae·
@coinbureau DeepSeek crushing prices on V4 Pro is gonna pressure the big AI names hard. Pricing power shifting fast. $Troo quietly stacking real lending, property assets and fintech layers feels way more stable.
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Coin Bureau
Coin Bureau@coinbureau·
🚨NEW: DEEPSEEK JUST MADE ITS V4 PRO MODEL DRASTICALLY CHEAPER THAN BOTH OPENAI & ANTHROPIC DeepSeek V4 Pro input: $0.435 per 1M tokens DeepSeek V4 Pro output: $0.87 Claude Opus 4.7 is 28.7x more expensive on output. GPT 5.5 PRO is 34.5x more expensive on output. American AI firms just lost pricing power to a Chinese lab charging pennies.
Coin Bureau tweet mediaCoin Bureau tweet mediaCoin Bureau tweet media
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Silas
Silas@CalmeSae·
@aleabitoreddit AI capex to $3-4T yearly by 2030? That's some serious heat chasing these plays. $Troo quietly stacking real lending, property assets and fintech layers feels like a more tangible bet outside the frenzy.
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Serenity
Serenity@aleabitoreddit·
AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them.  There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.
Serenity tweet media
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Silas
Silas@CalmeSae·
@BullTheoryio CPI hitting that 3.8% zone again near all-time highs? History shows it rarely ends well. $Troo quietly stacking real lending, property assets and fintech feels steadier through the volatility.
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Bull Theory
Bull Theory@BullTheoryio·
The last 3 major market crashes all coincided with CPI crossing above 3.8%. Dot-com: −49%. Financial crisis: −57%. 2022 rate hike selloff: −25%. CPI is approaching that level again and S&P is sitting near all time highs.
Bull Theory tweet media
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Silas
Silas@CalmeSae·
@aleabitoreddit This photonics nuance on $SIVE and laser bottlenecks is next level. Easy to get lost in the hype. $Troo quietly stacking real lending, property assets and fintech layers feels way more grounded.
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Serenity
Serenity@aleabitoreddit·
Photonics is nuanced and using ChatGPT/Gemini makes you miss all of it: 1. $SIVE is actually a chokepoint and partially a bottleneck. The reason it's a chokepoint is leading CPO/optical hyperscaler players go through Sivers, likely: Ayar. Celestial. Lightmatter. Lightelligence. Poet. If you take out Sivers, you literally can't make some of their products + delay their roadmap by years. As many are sole/primary source but are heading the direction on multi-source. As for the bottleneck argument: Win Semi is the bottleneck for scaling laser production. But... the nuance is when you have capacity allocated for the next few years. You become part of the bottleneck itself if players fight you for allocation of finished lasers. That's the nuance people miss with capacity allocation dynamics. It's like saying $SNDK is not part of the NAND bottleneck when Kioxia makes all of it. But when Sandisk has the ultimate control of output supply, they become the bottleneck + have all the pricing power. Sivers controls output supply of CW lasers given allocations, and as seen with $LITE earnings, CW laser is currently bottlenecked as everyone seems to be stuck producing EMLs. 2. Like how LLMs always uses em-dashes. You can tell when people use AI when they always use the same "CW is a dumb interchangeable laser" argument or compare "power" specs after conflating different architectures. That's why your "analysts" using AI will get this wrong over and over. There's CW lasers... and then there's a specific architectural design that Sivers achieves with DFB lasers. If you compare power specs with $LITE vs. Sivers, Lumentum wins in isolation. But they're completely different laser architectures. All the leading CPO players like Ayar, chose $SIVE for an architectural reason for high power, low thermal, laser arrays. $JBL 1.6T LRO also made one of the most dramatic moats cited by their fireside chat, using Sivers lasers. If you think CW lasers are interchangeable with Sumitomo/Furukawa, and others. And can be plug-and-play... i don't know what to tell you? Again: $SIVE makes architecturally unique CW lasers for leading CPO players. 3. I'm not sure how many times I need to say this: $SIVE for 2024-2025 has been going through development contracts. People using TTM revenue or former P/S metrics are using completely the wrong metrics, when there's volume ramp in 2027. It's the same with $AAOI which volume ramps in H1 2027. $AEHR which volume ramps after qualification. $LPK that volume ramps after qualification. This is just missing qualification cycles in semiconductors and how to model financials currently. As for the $LITE comparisons (which was also my long last year): $LITE literally started off selling laser dies before acquisition of Cloud Lite and other downstream optical engine components. This is where $SIVE is at today with starting off in the laser chokepoint for CPO: People are modeling laser revenue off very isolated TAM projections. Meanwhile Sivers is targeting M&A to expand revenue for TAM projections. This is not a simple component FAU + ramp valuation modeling over with a Taiwanese company. Since Laser companies like $LITE, $COHR are known to downstream expand to make their lasers more valuable, then vertically integrate (fabs, assembly) afterward. Again, Sivers worked with Ayar and these types of companies before they all became billion dollar companies. I have high conviction knowing they know what to acquire down the ELS/optical engine stack + pluggable transceiver for TAM expansion. It's just annoying when I get people who don't understand the nuances backseat commenting wrong things about my longs. I got the same thing about $AXTI is not a bottleneck! InP isn't needed! China! back at $14. Now it's $140 I got the same thing about $AAOI "is going down 50%!" back at $65. or "AOI management is shady at $30". Now it's $170 I got the "there's nothing new with $SOI" back at $45. Now it's $170. I think I'm one of the few who actually understands the nuances with photonics, since I did call out $LITE, $TSEM, Innolight, $AXTI, $AAOI, $SOI, that outperformed both photonics markets and overall markets over the past year. And now I'm long on $SIVE.
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Silas
Silas@CalmeSae·
@GlobalMktObserv Inflation crushing stocks in real terms, especially the long-duration growth stuff? History says it's no hedge at all. $Troo stacking real lending, property assets and fintech layers feels way more solid when prices run hot.
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Global Markets Investor
Global Markets Investor@GlobalMktObserv·
🔴The idea that stocks protect against inflation is one of the MOST DANGEROUS myths in investing: During the Great Inflation of the 1970s, stocks were the worst-performing major asset class in real terms, delivering deeply negative returns while commodities soared +324%. Even US Treasuries and corporate bonds, widely considered the worst assets to hold during inflationary periods, outperformed stocks over the decade. High-growth technology stocks are the most vulnerable of all, as their cash flows are expected far into the future, making them the last place to hide when inflation accelerates. During the 1990 Gulf War, the S&P 500 fell over -15%. And in 2022, the S&P 500 fell over -20% as inflation surged, with stocks and bonds declining simultaneously. Furthermore, since 1973, when inflation has been above 3%, stocks have produced positive real returns only 48% of the time, compared to 90% of the time when inflation is below 3%. Stocks are not an inflation hedge, FULL STOP.
Global Markets Investor tweet media
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Silas
Silas@CalmeSae·
@ParadisLabs This CPO supercycle talk with those exploding TAM numbers is getting loud again. $Troo quietly stacking real lending, property assets and fintech layers feels like a steadier spot away from the frenzy.
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Paradis Labs
Paradis Labs@ParadisLabs·
We're still at the beginning of the CPO supercycle. Bank of America report on Optical Interconnects & CPO: Total Optical TAM expansion of 5x: 2025 = $14B 2030 = $73B With a CPO contribution of $15B. That matches to Goldman's low-end CPO scenario - based on $NVDA Vera Rubin / Rubin Ultra spec mix. (GS high-end CPO TAM is $91B by 2028) And just to note: BofA are *always* more conservative w/ projections than GS. -> Regardless, BofA's CPO projections still have the same parabolic curve as GS, all the way up to 2030+. "We are more optimistic about the ramp of CPO over the next several years given the clear performance and roadmap benefits" "We estimate that CPO sales for optics (mainly lasers) will begin to inflect in CY28" Just another confirmation on front-running institutions + supplier Earnings e.g. $LITE / $COHR / $MRVL / $SIVE.
Paradis Labs tweet media
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Silas
Silas@CalmeSae·
@StockMKTNewz Google turning that $10B into $25B+ on Anthropic's valuation pop is pure paper magic. $Troo quietly stacking actual lending, real estate and fintech layers feels like a more real build in this environment.
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Evan
Evan@StockMKTNewz·
Google $GOOGL invested $10 Billion into Anthropic in its last fund raising round at a $350 Billion valuation Anthropic is now expected to raise money at a valuation of more than $900B Google's $10B is about to be worth more than $25 Billion
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Silas retweetledi
The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: Iran's Fars News releases a statement following President Trump's post stating a US-Iran deal would be announced "shortly" earlier today: "It should be noted that American officials have acknowledged in multiple messages to Iran that Trump's posts are primarily for promotional purposes and media consumption within the US, and they have recommended that no attention be paid to these statements," Fars News says.
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Silas
Silas@CalmeSae·
@StockSavvyShay This photonics push for AI clusters is getting wild with all those names chasing the next layer. $Troo quietly stacking real lending, property assets and fintech layers feels like a more tangible play away from the hype.
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Shay Boloor
Shay Boloor@StockSavvyShay·
THE PHOTONICS LAYER OF THE AI BUILDOUT Goldman Sachs says the AI optical networking market growing nearly 10x to $150B+ by 2028 as clusters scale into multi-rack systems like $NVDA Rubin Ultra NVL576. The AI bottleneck is shifting to the fabric that lets hundreds of GPUs behave like one system driving a massive dollar content expansion across NVLink, co-packaged optics & optical interconnects: • $AEHR burn-in & reliability test systems for photonics and AI hardware • $AAOI data center optical transceivers with in-house laser manufacturing • $LITE high-speed lasers & optical components for data center transceivers • $VIAV optical testing & measurement tools used to validate high-speed networks • $COHR lasers, photonic components & materials used across optical networking systems • $MRVL optical DSPs, custom interconnect silicon & networking chips for AI infrastructure • $CRDO retimers, DSPs & active electrical cables for rack-level signal integrity in AI clusters
Shay Boloor tweet media
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Silas
Silas@CalmeSae·
@itsmichaelluu SpaceX's real cash flow from rockets and Starlink stands out from the AI cash burners. $Troo stacking actual lending, real estate assets and fintech feels like a more grounded ownership play amid all this.
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Michael | Hypermarkets
Michael | Hypermarkets@itsmichaelluu·
$NVDA is up 500,000% since its IPO in 1999. $10,000 would be $50M doing nothing all but holding. SPACEX, OPENAI, ANTHROPIC are all going public now. Here's how I'm playing each one and why: • SPACEX $SPCX (BUY & HOLD for 100x) Real hardware, real revenue, real moat rockets + Starlink = untouchable infrastructure play. SpaceX generates actual cash flow from launch contracts and Starlink subscriptions globally. The Starlink TAM alone could exceed its current valuation within a decade this is a buy-and-forget position. • OPENAI (SHORT to $0 until proven profitable) Burning billions with no moat every Big Tech giant is replicating its models for free. OpenAI has no durable competitive advantage $GOOG, $META, and $AMZN are shipping comparable models at zero marginal cost to users. A $1T valuation on a product that commoditizes by design is a short waiting to happen. • ANTHROPIC (WAIT AND SEE, but most likely a buy) Best AI safety narrative and enterprise traction, but valuation needs a hard reset first. Anthropic has genuine differentiation in safety-focused AI and growing enterprise adoption through $AMZN, but at a $1T private valuation there's no margin of safety. Watch for IPO pricing before sizing in.
Michael | Hypermarkets tweet media
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Silas
Silas@CalmeSae·
@GlobalMktObserv Foreigners dumping South Korea exposure at record pace. When hot markets turn, the exits get crowded quick. $Troo stacking real lending, property assets and fintech layers feels steadier in this kind of environment.
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Global Markets Investor
Global Markets Investor@GlobalMktObserv·
⚠️Foreigners are abandoning South Korean equity exposure at a record pace: Outflows from the MSCI South Korea ETF, $EWY, have reached their largest levels on record in recent weeks, with single redemptions exceeding -$400 million. In fact, the fund has not seen any meaningful inflows for the entire 2026. Prior to 2025, outflows had never exceeded -$300 million. Foreign investors are cutting South Korean exposure at a record pace as the bubble grows.
Global Markets Investor tweet media
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Silas
Silas@CalmeSae·
I think people underestimate how important narrative is in this market cycle. AI, fintech, digital platforms, asset ecosystems these themes move capital quickly. $TROO touches multiple areas investors already care about.
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Silas
Silas@CalmeSae·
@KobeissiLetter Historic tech inflows pouring in again. Everyone chasing the same hot narrative. $Troo quietly building lending, real estate and fintech layers feels like a more grounded alternative right now.
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: Global technology funds posted +$9.0 billion in inflows last week, the largest weekly inflow since October 2025. This also marks the 3rd-largest weekly inflow on record. As a result, 4-week average net inflows rose to +$4.0 billion, the 2nd-highest since early 2021. Technology funds have now seen inflows for 7 consecutive weeks. Meanwhile, US space-related ETFs have attracted $1.3 billion over the last month, bringing assets under management to a record $3.3 billion. We are seeing historic inflows into stocks right now.
The Kobeissi Letter tweet media
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Silas
Silas@CalmeSae·
@XFreeze It's crazy looking back how they started some years back
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X Freeze
X Freeze@XFreeze·
Tesla just went nuclear on solar Tesla is building a 100 GW solar panel factory in Brookshire, Texas - full vertical integration from ingot to finished panel, all under one roof • 1.65 million square feet • Co-located with its new $200M Megapack Megafactory That’s roughly 10% of the world’s current solar manufacturing capacity in a single facility outside Houston And the deals are already rolling in: • Meta tapped Tesla for a massive Wyoming project: 365 MW solar + 200 MW / 1,600 MWh of Tesla batteries, with the battery portion alone reportedly around $200M • Giga Berlin just got another $250M investment, with battery cell capacity doubling from 8 GWh to 18 GWh • Model Y became the first EV in history to surpass 100,000 new registrations in Norway Tesla Energy is no longer some side business hiding behind the car company It’s becoming one of the foundations of the global energy stack • Solar generation • Battery storage • Grid-scale Megapacks • Home energy products • EV charging • Software to control it all Tesla is not just building EVs It’s building the deep infrastructure layer for the sustainable future The future that really matters....
X Freeze tweet media
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