Luke

288 posts

Luke

Luke

@tuixaitwitte

انضم Ekim 2011
224 يتبع21 المتابعون
Luke
Luke@tuixaitwitte·
@Masta_Rebel @MoodyWriter13 You are an investor. You know that nothing is free. You know where that 4200% ytd comes from.
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Moody
Moody@MoodyWriter13·
These claims are criminal. I’ll write something about it later. He only wants one thing: your money, and he’ll hype up anything that can somehow be tied to the current narrative. Be careful.
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Luke
Luke@tuixaitwitte·
@MoodyWriter13 Haha 64% from a tweet, that reminds me of dogecoin
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Luke
Luke@tuixaitwitte·
@MoodyWriter13 I read your post and chose Ceres instead cus it's fuel cells like Bloom. Dang.
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Moody@MoodyWriter13·
That was quick with the confirmation of the first order for the supply of power plants for AI data centers: 2G has booked an order in the low triple-digit megawatt range from a North American customer the largest single order in the company’s history. Deliveries start in H2 2026, spread over several years. As a result, 2G now expects 2026 revenue at the upper end (up to €490M), and for 2027 growth of around 20% to €570–620M with an EBIT margin above 11%. Further orders in the low triple-digit megawatt range are expected over the coming months. Looks like I had great timing with the thesis I made yesterday. 😊 2-g.com/en/investor-re…
Moody@MoodyWriter13

Decentralized power supply for AI data centers is currently one of the hottest themes in the market, and the relevant stocks have been moving rapidly higher. In fuel cells, $BE is the clear market leader, while $FCEL and Ceres Power are trying to position themselves as alternatives. On the combustion side, the situation is different: the major gas turbine manufacturers such as GE Vernova, Siemens Energy, and Mitsubishi Power are effectively sold out, with multi year backlogs extending well into the second half of the 2020s. The obvious alternative is gas engines, where several established players are active, including $CAT, Wärtsilä, INNIO and its Jenbacher platform, Cummins, and 2G Energy. One advantage of gas engine solutions over fuel cells receives far too little attention in the current debate: they are dispatchable and therefore combine naturally with solar power. The engine ramps up when solar generation falls away. Fuel cells cannot do this. They are fundamentally baseload assets and do not tolerate rapid load changes or frequent start stop cycles. This matters more for AI workloads than many investors realize. Pure baseload power is primarily needed during full scale training runs, and even there, workloads create second by second load transients. Inference is even more dynamic because it follows user demand and therefore exhibits a clear daily utilization profile. This is exactly where dispatchable gas engines excel, especially when paired with a modest battery energy storage system. Some of these engines can already operate on hydrogen, further strengthening their long term relevance. The downside relative to fuel cells is clear: lower efficiency and higher emissions because fuel is combusted. There is one particularly interesting German company in this space that already has a strong position in decentralized energy infrastructure for the energy transition through combined heat and power systems, biogas solutions, and large scale heat pumps: 2G Energy $2GB.DE According to management, the company is currently close to signing several US data center contracts in the high double digit to low triple digit megawatt range, with each individual order potentially worth up to €100 million. That is highly meaningful for a company currently guiding for €440-490 million in annual revenue. For larger competitors, deals of this size would barely move the needle. The stock is already up roughly 50% ytd. That is not insignificant, and on absolute numbers it is not cheap. But relative to peers it still looks highly attractive: P/S 2026e of approximately 2.1x EV/EBIT 2026e of roughly 22x EV/EBIT 2027e of roughly 18x Compare that to $BE at roughly 11 to 13x forward sales, or GE Vernova with a market cap near $293 billion and a forward earnings multiple around 32x. Based on its current business alone, 2G is not cheap. But the data center optionality is still not reflected in the valuation. The concrete advantages of 2G’s solutions include: Standardized modular units manufactured in house and deliverable within roughly 9 to 18 months. This is the critical advantage while turbine supply remains constrained. The Gas2Power platform covers backup power, prime power, and grid services, with full load step capability within 10 seconds. This makes it ideal for pairing with solar generation. The waste heat can be used for absorption cooling, directly supporting data center thermal management. Approximately 55 dB(A) at 10 meters, which materially improves permitting prospects for sensitive sites. What makes the business model especially compelling is its focus on high margin recurring service revenue. A triple digit megawatt installed base generates maintenance and service revenue over more than a decade. That recurring stream is the real compounding engine behind what initially appears to be a one time equipment sale. For investors looking at decentralized AI infrastructure power, this company is worth a look.

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Luke
Luke@tuixaitwitte·
@babyfolio The 10x opportunities lie in the supply chain for the socamm part.
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Babyfolio
Babyfolio@babyfolio·
Is it too late to buy memory here? I don’t think so. It’s always psychologically hard buying charts that already look extended, completely understandable. But unlike many sectors where 2030 expectations already feel priced in, the memory rerate still looks far from complete. The market still isn’t fully pricing in what AI infrastructure demand could do to DRAM/HBM earnings power over the next few years. What will happen in 12 months? $MU: $800 → $1.4 $DRAM: $55 → $90 $000660 (SK Hynix): 1.9M KRW → 4M KRW And there are more: $SNDK , $285A(Kioxia), $005390(Samsung), etc... The trend is still early relative to where demand could go. You're welcome to bookmark this and fight me over it in a year.
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Luke
Luke@tuixaitwitte·
@zephyr_z9 besi should worth 3x its market price. Looks like they have their homemade version of everything except besi
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Zephyr
Zephyr@zephyr_z9·
A lot of people seem to think that Huawei has side-stepped EUV and developed a method to scale to 1.4nm without it But as u can see from their graph, a huge density & clock speed jump happens between 2030 & 2031 After the 2019 sanctions, Huawei started project Mount Everest in 2020 The goal was to develop and mass-produce EUV machines within 10 years The tentative date of China's EUV is 2030 rn
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Luke
Luke@tuixaitwitte·
@zephyr_z9 so its not hybrid bonding. 3d stacking and wiring are within the die. Would love to see how the improved density looks on paper compared to besi.
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Luke
Luke@tuixaitwitte·
@OmerCheeema @jukan05 @rwang07 @lithos_graphein Unless this tau scaling means something else entirely different like really fast data travel within the package, I cant see how this avoids the need for smaller transistor. They didnt have EUV but they do now right?
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Luke
Luke@tuixaitwitte·
@bovey_king @jasonschips Axti is the result of the trade war in 2023 and continues to be the center of the summit discussion in 2026. China has no direct influence on sive or aaoi.
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Bovey King
Bovey King@bovey_king·
@jasonschips That is the exactly way I missed AXTI a year ago using the quatar earnings. I owned AAOI 2 years ago and sold around $20 due to losing quarters. People can’t make money beyond their level of cognition. If you drive looking only in the rearview mirror, you won't get far.
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Jason's Chips
Jason's Chips@jasonschips·
The accounts pumping (and inevitably dumping) $SIVE at ~$2.3b market cap have not done their one job as providers of investment research: showing the numbers. $SIVE had ~$33 million of revenue in 2025. 70% of it was their legacy wireless segment. The 30% of it that is photonics isn't purely data center, as that segment also includes LIDAR. A sub-division between the two categories is not given. So, yes, they have at most $10m in DC photonics revenue and trade at least 230x that revenue today. Now, of course, trailing revenue is a terrible way to value a photonics business, but we need an anchor somewhere with real numbers. $LITE give us plenty every single earnings call. 1. >$1b OCS run-rate in 2027. 2. Greensboro fab that supports >$5b of CPO revenue likely to be sold out. 3. $8b revenue run rate to be achieved in 18 months. $SIVE has not announced a single DC photonics *volume* purchase order or given any DC photonics revenue guidance. Not a single one, and I'm not kidding. The only anchor we have to go off of is that they had, at most, $10 million in data center photonics revenue in 2025, most likely far less. What CAGR is needed to justify their current $2.3 billion market cap?
Jason's Chips tweet media
Jason's Chips@jasonschips

$SIVE is on a speculative, unsustainable rally that is not backed by any fundamentals. Healthy parabolic stocks like $LITE, $BE, $AXTI, $SNDK either pop and grind up following each earnings event as new information is introduced to the market and improves the fundamental outlook OR they sell a raw material or commodity whose supply/demand dynamics and price can be tracked publicly. $SIVE is neither. The last earnings call was on February 26th, to which the market had zero reaction; however starting mid-March, $SIVE proceeded to run 2000%. No fundamental news was released to warrant such a re-rating. The O-Net and Jabil R&D partnerships are not new. The news that is actually needed to move the fundamental value: commercial volume orders with real dollar values attached, did not occur. In fact, they restated their FY25 EBIT net loss, which got worse. My bearish campaign against $SIVE is only beginning. The higher this speculative stock runs, the more people will lose money; we must keep the damage contained. Those purposely spreading unreliable information to increase the market capitalization of an illiquid microcap to inflate their own wealth at the expense of everyday investors must be held accountable. My short report is coming soon.

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IzzyDB
IzzyDB@izzy_dbz·
@jasonschips What makes you think that Sivers, currently with a 2bn USD market cap, cannot be as valuable as some of the companies it is supplying like Ayar Labs (latest raise of 700m, at c.4bn USD valuation and backed by the likes of NVIDIA and AMD) given the huge size of the TAM?
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Jason's Chips
Jason's Chips@jasonschips·
" $SIVE can reach $80b because $LITE is $80b" has to be the dumbest and most dangerous investment thesis ever. People will lose their savings listening to all this misinformation. It's sad and needs to stop (I am starting an anti $SIVE crusade). 1. $SIVE is not a bottleneck (despite it being the poster child of the photonics bottleneck craze). A bottleneck, by definition, must be the company that constrains the production of a massive downstream industry. To constrain production, you must both own hard physical assets and hold a dominant market share position. Sivers has neither. Sivers is a fabless design company that relies on WIN for Foundry services, and with revenues of ~$30 million, they hold near zero market share in the massive datacom laser industry. 2. Supply chain analysis is misleading. In semiconductors (or any industry producing a durable manufactured good) switching costs are near zero while process power, cornered resources, and scale dominate. Therefore, "who has a superior product" is far more important than "who supplies what to whom." CPO external light sources require quality lasers meeting noise (linewidth and RIN) and power (400mW+) specs. $SIVE lasers are far inferior to that of larger peers like $LITE. 3. $SIVE valuation is comically detached from reality. On NTM metrics, $LITE trades at 14x EV/Revenue and 32x EV/EBITDA while $SIVE trades at 50x and 650x (!!) those same metrics. As a permanent AI infra bull, I fully agree that consensus is too conservative; however, they are not off by two orders of magnitude. The misinformation needs to stop. Let's help actually help retail understand what they own.
Cyberpunk Sense 👑@napoleon21st

To be honest I do believe $SIVE can reach 80b market cap. It's in an exploding market and its peers have done it.... So what prevents them?

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Pain uchiha
Pain uchiha@1999Antoto·
@jasonschips @lxjourney_ People said AMD was overvalued, not competitive and nvidia would destroy them last year. Not saying it’s the same scenario but you can’t always dismiss competition or an inferior product.
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Luke
Luke@tuixaitwitte·
@MoodyWriter13 Enough about photonics. Even the most discrete ticker has been discussed to death. Sive was discreet, now its everywhere. So are those tool makers. Time for you to shed some light on memory and biotech.
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Moody
Moody@MoodyWriter13·
Investing is like marriage. Many people commit to both at the height of euphoria, when everything shines, expectations are high, and the future seems like a straight line upward. Even the German word for wedding, Hochzeit, literally implies a “high time” or peak. But a peak is rarely a beginning. More often, it marks the moment from which reality slowly starts catching up with inflated expectations. Precisely because everything appears perfect in such moments, the potential for disappointment is greatest. Wisdom suggests not committing when the magic feels strongest, but when you have soberly recognized that the foundation is solid, even without fireworks and illusion. The same is true in investing. Most people buy stocks when the story is already obvious to everyone, when expectations are at their highest and valuations leave little room for error. But buying at the peak often means paying not for what is, but for a perfection that can hardly be exceeded. The better opportunities often emerge where sentiment is muted, doubts prevail, and much of the bad news is already priced in. When it becomes clear that the worst is likely behind, even modest improvement can turn skepticism into renewed confidence. That is why I prefer investing in companies where I do not need everything to go perfectly, but where the odds are greater that the future will simply be better than the present. True wisdom in investing is not about buying at the most beautiful moment, but about recognizing the turning point. For example, I “married” Sivers when almost nobody knew it and almost nobody wanted it. And I “separated” when I began to fear it might become the next Bonnie Blue on social media. 😉 Just joking. It was only ever a trade from the very beginning and its future is still entirely uncertain. Trading on the other hand is therefore more like short term dating or fucking around. Eventually, everyone has enough of it.
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Luke
Luke@tuixaitwitte·
@jukan05 I just can't see how hbf is viable. AI inference is way too read heavy.
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Jukan
Jukan@jukan05·
The report claiming that NVIDIA is using HBF is fake news. I’m extremely disappointed in TrendForce. For a reputable firm like TrendForce to cite a The Elec article that was based on one professor’s opinion, and then reinterpret it as if The Elec reported that NVIDIA is trying to use HBF, is simply unacceptable. This is not true at all. NVIDIA is looking to use high-reliability, high-speed NAND, such as 200M IOPS NAND, for GIDS. It is not considering HBF.
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Luke
Luke@tuixaitwitte·
@MoodyWriter13 @DogeChainMaxi @yourkleinod Too much drama over 1 ticker. Im still 40% in it, down from 50% after your post. Do you plan to look into the DRAM supply chain anytime soon?
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Moody@MoodyWriter13·
Presenting the finest collection of replies to my post, ranked by severity: @DogeChainMaxi: „Listen up retard. You sold way too early and you’ve been bear posting ever since. And now you’re trying to claim clout? Cope harder.” @yourkleinod: „Dude, I’m now convinced you are an idiot! You advised to sell it weeks ago, pitching weird arguments why it’s not a bottleneck! Are you real?” The vocabulary alone tells you everything you need to know about the analytical framework behind it. I have never recommended selling nor buying, for that matter. Sharing an analysis is not a trade instruction. Those who cannot distinguish between the two should perhaps reconsider whose advice they follow. By “bear posting,” it probably means that I expose specific false claims, such as the idea that Sivers is the central CPO bottleneck, for what they are: incorrect. Raising concerns is also not bear posting, it is called thinking. A concept, admittedly, not universally accessible. @HaveANiceFa: „Don’t owe you shit bitch.” No further commentary needed. I highly recommend following this account, it will make you feel like a philosopher by comparison. @HracekKamil: „Stop making accusations and attacking people — instead, look for something that will earn you some respect. You’re acting worse than the biggest jerk. All you ever do is complain.” Whoever feels personally attacked by a factual post like this has likely already identified themselves as the biggest jerk in question. @PeterSikachev: „Probably not, since you wrote a post about how it shouldn’t be more than a couple % of a portfolio.” That post was written this week, in the context of current valuations. When I first bought Sivers, it traded at a revenue multiple below three, a risk/reward profile that justified a meaningful position size without hesitation. Today we sit at 71x. Heavily concentrating at these levels reflects poor risk discipline, not conviction. Had I advised high concentration at current prices, my career on X would be over within a year. @ponzy_picas…: „Do you owe coffee to the people who sold way early when you sold yours and got bearish on it?” @ETHdv: „But you sold…” It begins with buying a stock because of person X. When it works out, it was your own brilliance. When it doesn’t, the fault lies with the other. The psychological diagnosis here is clear: illusion of skill, one of the most well-documented and dangerous cognitive biases in investing. Never became bearish on it, I just became cautious. @maxvoltrader: „Didn’t you sell after like 100%?” I sold for the first time after a 4x gain. I had never publicly disclosed that I owned it in the first place. Apparently, it lies beyond the imagination of many that one could sell a position and then buy it back again later. Beyond that: I have never once claimed before to have made X% on any stock. I consistently say I am the worst trader in the room. I share ideas, not performance records. Criticize my ideas, not my performance. @Spikeoneth6707: „Nope, anyone religiously following you sold long ago because you said it was overvalued a couple X ago.” Those who follow anyone religiously, in markets or in life, have already made their most consequential mistake. never said it is overvalued. It’s not a value trade at all, it’s speculation from the beginning. @BonyBallf2: „It’s a bit surprising since Serenity also started loving it — you became more and more negative on it. Really feels like your opinion is often driven by ego rather than objective arguments.” This is perhaps the least unreasonable comment in the thread, but it is still wrong. Growing skepticism alongside rising prices is not ego, it is rational discipline. The higher the valuation, the more rigorously one must scrutinize the thesis. That is not a character flaw, it is what separates experience from enthusiasm.
Moody@MoodyWriter13

$SIVE has gone up more than 1,700% since I first pitched it on X. Is there anyone who bought it back then and is still holding it? That person probably owes me a coffee.

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Luke
Luke@tuixaitwitte·
@jukan05 what is your take on 356860:KOSDAQ
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fin
fin@fi56622380·
定量来看 HBM短期50% CAGR,长期40% CAGR,DRAM每年增产能力大概是30%+,长鑫bit share从今年的7%市占到明年的11~12%市占,大概能额外每年提供3~4%的增产能力 总体趋势来说,DRAM的需求仍然持续被低估,DRAM的需求上涨是结构性的,意味着会比市场看到的持续时间显著更长 所以DRAM可能几年内会一直被看衰,但是需求缺口就是不减小
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Luke
Luke@tuixaitwitte·
@jukan05 whats your take on 356860:KOSDAQ
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Jukan
Jukan@jukan05·
2. DRAM, excluding modules DRAM, excluding modules: export value of $7,488mn, +431% Y/Y, +26% M/M The DRAM export unit price, excluding modules, reached $82,820/kg, up 13% from April 20, 2026, and up 497% Y/Y.
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Jukan@jukan05·
Thread: Korea’s Memory Exports, May 1–20 1. DRAM DRAM, including modules: export value of $11,527mn, +498% Y/Y, +27% M/M The DRAM export unit price, including modules, reached $60,319/kg, up 5% from April 20, 2026, and up 432% Y/Y.
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Luke
Luke@tuixaitwitte·
@jukan05 looks like japanese custom to not exercise pricing power, i mean look at towa
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Jukan
Jukan@jukan05·
Do you see why Nittobo’s stock has been moving sideways now? They have no intention of raising prices. Unlike memory companies, which are aggressively raising prices right now, Japanese companies like this place an extreme emphasis on customer relationships and market share. This is also one of the reasons I did not buy Nittobo or Ajinomoto. They are too conservative and care too much about their customers. Japanese companies, please start abusing your pricing power a little… like the memory companies.
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Jukan@jukan05

Why No Price Hike Despite a Severe Shortage? Why doesn't Nittobo raise prices to reap windfall profits? The AI server boom has triggered an explosion in global demand for high-end glass fiber materials. Yet even as the market tightens into deepening shortage, Nittobo (Nitto Boseki, 日東紡) has opted for a counterintuitive strategy. Management made clear that the company currently has no plans for further price increases on its low-CTE (low coefficient of thermal expansion) glass fabric (T-glass), emphasizing that at this stage it will focus on expanding capacity to "defend market share." According to Japanese media reports, Nittobo is a leading major supplier that commands the critical global supply of high-end low-thermal-expansion glass fiber. The company said it had initially planned to prioritize expanding low-Dk (low dielectric) glass fiber capacity, but as demand from AI servers and edge devices such as smartphones outpaced expectations, the supply-demand gap for low-thermal-expansion T-glass widened sharply. In response, it has decided to accelerate the pace of expansion, adding glass fabric production lines at its Fukushima site in Japan while also installing new glass melting furnace equipment in Taiwan. Nittobo noted that T-glass demand is currently expanding rapidly. Not only is demand for the "thick fabric" used in semiconductor packaging substrates for AI servers continuing to climb, but the growth rate of the "thin fabric" used in edge devices such as smartphones is exceeding initial expectations by an even wider margin. The company emphasized that it has reached an internal consensus to further scale up the relevant capital investment in order to meet the strong demand from both thick-fabric and thin-fabric customers simultaneously. Defending Market Share Over Short-Term Price Hikes On the future price trajectory that the market is watching closely, Nittobo management responded that it currently has no plans to make further price adjustments to either T-glass or low-dielectric glass, and will continue selling at the prices set at the start of this fiscal year. The company reiterated that its top priority at present is expanding capacity to meet customer demand, thereby cementing its leadership position in the high-end materials market. It added that, so long as its products remain competitive and market demand holds firm, it will not hesitate to commit to capacity expansion. Nittobo had previously announced that it would raise the capital expenditure (CapEx) budget in its FY2024–2027 medium-term management plan by a substantial 50%, from the originally planned ¥80 billion to ¥120 billion—a move intended to respond to product demand and shifts in the market environment. Glass fabric is a critical component of IC substrates and printed circuit boards (PCBs), serving as the most fundamental chip-reinforcement layer material in electronic devices. As advanced chip packaging imposes extremely stringent requirements on micro-scale deformation, T-glass—with its low-thermal-expansion properties—can effectively prevent package warpage, establishing itself as a core element in ensuring the stability of high-end computing.

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Luke
Luke@tuixaitwitte·
@MoodyWriter13 I highly doubt that sharing it in a subtack would drive up the price
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Moody@MoodyWriter13·
Before turning to photonics, I tried my luck in biotech. The field caught my interest quite strongly, and for about two years I read almost exclusively books in that area. Overall, I had a fairly good track record. I don’t own any of the four stocks $QURE, $CMPS, $CAPR, or CMP.AX, anymore. Back then, all four were asymmetric bets for me, and contrary to the odds, three of them worked out very well (multibaggers), while even the fourth still ended up slightly positive. A few weeks ago, I made another biotech investment where I see an asymmetric opportunity. Unfortunately, I can’t share it here, even though I’ve written a full write-up on it. The company is simply too small, and sharing it would likely drive the price up significantly. Ideally, it should re-rate for fundamental reasons, not because of attention or momentum. In cases like this, a paid Substack model would actually make sense. Once the case plays out, either successfully or not, I’ll share it here. That way it will be documented whether my “biotech touch” is still intact. Many people probably associate me primarily with photonics, but in reality I’m more of a generalist covering a range of different fields. I try to avoid having only a single hammer in the toolbox, otherwise every problem starts looking like a nail.
Moody@MoodyWriter13

Bought $QURE last week. The FDA must be crazy not to approve their candidate for Huntington's disease. Together with $CAPR, $CMPS and $CMP.AX, these are four companies with very promising data that are very likely to receive approval within the next 1-2 years.

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