Daniel Chang

1) $LITE is up $56 and $132 since yesterday morning. LITE presented during market hours at OFC yesterday! I may be almost 80% there on CPO scale-up opportunity through at least Feynman. There has been bunch of new info in a day. Here are 2 key LITE slides. Phase 0. Again scale-out is well understood near term. "Multi-hundred" million 1H27 alone. Quantum-X and Spectrum-X CPO switch build data later. Phase 1. That inter-rack NVL576 scale-up I've been referring to. 3x to 4x CPO links vs Phase 0. Phase 2. 3x to 4x vs Phase 1. NVL1176 also includes longer distance intra-rack due to those physical copper bandwidth-length limits (see 2nd slide). Phase 2 alone is causing those huge $NVDA (and now other customers) demand signals for LITE $COHR and bunch of other suppliers. 100% optical scale-up is inevitable. 3.2T 6.4T+. Will discuss various resulting photonics opportunities from a top down and bottoms up basis later. ASPs, units, high power (e.g. 400 mW) CW lasers etc.

Terafab Project launches in 7 days

I told you I pivoted to AI. It's going extremely well. I raised $4 million. The pitch deck had 22 slides. The word "AI" appeared on every single one. Fourteen slides had the word "AI" in the title. Three slides were just the letters "AI" in large font over a stock photo of a brain with circuits on it. One slide said "THE FUTURE IS NOW." That was the financial projections slide. There were no financial projections. There was the brain. My startup is called Synthetica. We are an "AI-native intelligence platform." That means we built a website that calls the ChatGPT API and displays the response in our own font. The font is called Satoshi. I chose it because it sounded like crypto and technology at the same time. Two birds. Neither of them real. We have a whitepaper. It's the same whitepaper from my crypto startup with "blockchain" replaced by "neural network." Find and replace. That's our IP. Our product costs $29 a month. ChatGPT costs $20 a month. The difference is our logo and a loading screen that says "Thinking deeply..." while it waits for the API to respond. It's the same API. The customer is paying $9 a month for the loading screen. I call that the moat. My technical co-founder built the entire product in a weekend. We spent the next eleven months "iterating on the brand." That means we changed the color of the loading screen four times. He quit in month seven. I replaced him with a contractor in the Philippines who charges $15 an hour. I told investors we have "a globally distributed engineering team." That's two people. One of them is me. I don't code. We raised the $4 million in February. The lead investor asked what our moat was. I said "proprietary AI infrastructure." He asked what that meant. I said "we've built a custom orchestration layer on top of foundation models." He asked if that was an API key. I said "it's significantly more sophisticated than that." It's an API key. He invested $2 million. His fund has "AI" in its name. It was a crypto fund until 2023. They changed the name. They changed the website. They did not change the partners or the strategy. The strategy is to invest in things they don't understand and exit before anyone notices. I respect that. It's the same strategy as mine. The partners all have the same LinkedIn arc. Crypto evangelist from 2020 to 2022. "Building in stealth" from 2022 to 2023. AI visionary since January 2024. The conviction was always there. The noun changed. OpenAI just raised at a $730 billion valuation. That's more than the GDP of Switzerland. Anthropic is at $380 billion. In January and February alone, $220 billion went into AI companies. 83% of all venture capital in February went to three companies. Three. The other 17% went to four thousand startups like mine. API wrappers with pitch decks. Loading screens with brand identities. $29-a-month products built on $20-a-month products. A company with fewer than 100 employees is now worth $12 billion. I don't know what they do. Neither does the company. But they have a whitepaper. And the whitepaper has a diagram. And the diagram has arrows. Arrows mean progress. We're early. I launched a token. SYN. The Synthetica utility token. It powers the "decentralized AI marketplace" we haven't built yet. Someone asked what the token does. I said it "facilitates value exchange within the Synthetica ecosystem." He asked what that meant in plain English. I said "you can buy it and it might go up." He bought $12,000 worth. The total market cap of SYN is $340,000. I own 40% of the supply. My Discord owns another 30%. My Discord has 1,200 members. Eight hundred of them are bots I bought on Fiverr. We have a Telegram too. The Telegram has a price bot. The price bot posts the SYN price every hour. The price has not changed in three weeks. Nobody has traded it. The bot keeps posting. That's community engagement. I used the same Discord. I just changed the banner. The crypto community became the AI community overnight. Nobody noticed. The conversations are identical. Just replace "to the moon" with "to AGI." I also run a Polymarket bot. An AI-powered prediction market trading agent. It bets on real-world events using an algorithm I don't understand, funded by money I don't have, on a platform a U.S. Senator is trying to ban. Fourteen of Polymarket's top twenty traders are bots. Bots made $40 million last year exploiting pricing gaps. One bot made $115,000 in a single week. Mine lost $4,200 in eleven days. But I made a course about it. "AI-Powered Prediction Markets: The $115K Playbook." It costs $497. The playbook is a PDF. The PDF has screenshots of someone else's bot. I added my logo. Thirty-one people bought it. I made more from the course than the bot made from the market. That's the real alpha. The CFTC put out a warning that said "fraudsters are exploiting public interest in artificial intelligence to tout automated trading algorithms" that "promise unreasonably high or guaranteed returns." I screenshotted that too. I posted it in my Discord. I said "they're trying to shut us out." That got forty-seven rocket emojis. The bots sent thirty of them. A veteran VC said this week that AI valuations are "overheated." He said "buy high, sell higher only works in a bubble." I screenshotted that quote. I posted it in my Discord. I said "this is what they said about the internet." They also said it about the metaverse. They were right about the metaverse. I was there. I owned eleven properties. They're worth $6,400 now. Combined. My Bored Ape went from $189,000 to $14,000. The Gucci store is still empty. My beachfront villa is a mobile app. I learned a lot from that experience. I learned that if something goes to zero, you should pivot to the next thing and do it again faster. The metaverse taught me timing. Crypto taught me language. AI taught me that the language doesn't have to mean anything as long as the timing is right. We're early. I hosted a demo day. Fourteen investors came. I showed them the product. I typed a question into Synthetica. The loading screen said "Thinking deeply..." for eight seconds. Then it gave the same answer ChatGPT gives. One investor asked "is this just ChatGPT?" I said "we leverage GPT-4 as one component of our multi-model reasoning stack." He asked what the other components were. I said "proprietary." He asked to see them. I said they were "in stealth." Stealth means they don't exist. He invested $400,000. My mom called. She asked how the AI company was going. I said "we just closed a $4 million round." She said "is this like the metaverse thing?" I said "this is completely different." She said "you said that about the NFTs." I said "the NFTs were digital art. This is artificial intelligence." She said "is the monkey still your profile picture?" I changed the subject. She asked if I was eating enough. I am not eating enough. I spent my grocery budget on GPU credits. I don't know what a GPU does. But you need them for AI. Everyone says you need them. I have $7,000 in GPU credits on a platform I've logged into twice. That's infrastructure. My accountant called. The same one. He asked about the startup. I said "we're pre-revenue." He said "you've been pre-revenue at every company you've ever started." I said "this time we have product-market fit." He asked what our product was. I said "an AI-native intelligence platform." He asked what it did. I said "it thinks deeply." He said "so it's a loading screen." I hung up. He's not a visionary. We're early. I know we're early because I've been early my entire life. I was early to the metaverse. I was early to NFTs. I was early to the DAO. I was early to the token. Every single time, I was early. I have never once been on time. But that's the thing about being early. You don't have to be right. You just have to be first. And then when it collapses, you say you were "too early." And when the next thing comes, you say "this time is different." This time is different. The AI bubble is not a bubble. It's a paradigm shift. A fundamental restructuring of how value is created and captured in the digital economy. I read that in a pitch deck. It might have been mine. They all look the same. I have a folder on my desktop called "Pitch Decks." There are forty-seven files in it. I opened one from 2021. It said "THE METAVERSE IS A PARADIGM SHIFT." I opened one from 2024. It said "AI IS A PARADIGM SHIFT." Same font. Same brain. Same slide. I didn't delete the metaverse one. I might need it again. We're early. As long as the graph goes up and to the right.

The upcoming CPO / Silicon Photonics Bottleneck Cheat Sheet: $SIVE, Sumitomo, $LITE, $COHR, $AVGO, $MTSI, $AAOI - Light Source (CW DFB Lasers) $TSEM, $GFS, $UMC, $TSM, $INTC - SiPh foundry $NOK, $CIEN, $CSCO, $COHR - DCO $HIMX, FOCI (3363.TWO) - Micro-lens + Fiber Arrays $POET - Optical Interposers $SOI, $AXTI, Shin-Etsu - Substrates $FN, $ASX, Innolight, Eoptolink - Optical Packaging and Assembly $MTSI, $SMTC, $MRVL, $MXL - Analog/Mixed-Signal ICs $LWLG - Speculative Modulator Materials. $GLW, $APH, $TEL, $FIT, Fujikura - Connectors and Fibers $FORM, $KEYS, $VIAV, $AEHR- Test & Measurement $BESI, $SMHN, $ONTO, $CAMT - Advanced Packaging & Hybrid Bonding Many are private companies from Lightmatter, Ayar, Ranovus and others. Now... Everyone is asking... How do you profit? If you look at the forecast for CPO TAM, it's a straight line up, and next year is inflection point for CPO mass deployment. The alpha is capturing the rotation: From the current EML bottlenecks ( $LITE, $COHR type) to SiPh / CW DFB architectural winners for CPO. Highest upside potential are the ones that aren't included in current cycles. But that are in the next. Companies like $SOI, $SIVE, or $AEHR are perfect examples. Ride the current pluggable bottleneck like $AAOI. But the alpha is frontrunning institutions with the next CPO bottleneck. The capital rotation is inevitable.

<世界越快，心則慢。> 綜觀在投資市場上學習高手會在崩盤或修正時做的事情： 1. 心態面： 保持冷靜並視為難得的機會，因為這種機會通常要等很久，市場恐慌時應越冷靜處理，這正是創造自己 Alpha (超額報酬) 的關鍵時刻。 2. 紀律面：依據均線調節水位 例如當指數或標的跌破 20MA (月線) 時，依照紀律砍掉一些部位來增加現金。 3. 策略面：尋找並記錄抗跌的「強者」 在大家都在亂衝的牛市裡，很難看出誰是真的好貨，只有崩盤或修正時才能看出哪些標的是真正的「強者」。 特別尋找那些「沒跌反而還漲」的強勢族群或個股。 抗跌的標的一定有其背後強硬的道理 (基本面 or 資金面)，等之後盤勢轉好時，往往會跑出更好的績效。

Micron $MU reported record revenue of $23.86 billion in Q2, up 196.3% YoY and 74.9% QoQ and well ahead of estimates for $19.51 billion. FQ3 revenue was guided to be $33.5 billion at midpoint, up 260.2% YoY and 40.4% QoQ, and more than $10 billion ahead of estimates for $23.27 billion. $NVDA $AMD

這些文章由 Daniel 撰寫，系統性地探討了個人投資者成長的各個階段，從建立正確的學習心態到實戰策略的運用。 作者強調投資自我是首要任務，並透過分析 ETF 選擇、大盤指數報酬 (Beta) 與超額報酬 (Alpha) 的差異，引導讀者建立合理的投資組合。 內容涵蓋了由上而下的總經分析路徑，以及利用移動平均線 (MA) 進行風險控管與部位調整的實務紀律。 此外，文章也針對市場波動 (VIX) 與擇時交易的風險提供警示，建議透過長期持有與分批配置來對抗市場的不確定性。 整體而言，這系列來源為投資者提供了一套結合心理素質、技術指標與資產配置的完整理財架構。 --- 把自己寫過的東西整理起來也是蠻有趣的...

最近的市場不穩定，把自己常用來觀察市場的三個指標詢問 AI 輔以自己的文字，做一些說明，便於理解市場。 --- 1. VIX 恐慌指數：市場情緒的溫度計 VIX（Volatility Index）反映的是 S&P 500 指數選擇權的隱含波動率，它最直接反映了市場對未來 30 天的「恐懼程度」。 與股市的關係：高度負相關（反向） - VIX 飆升（通常 > 25 或 30）：代表市場極度恐慌，投資人急於買入選擇權避險。這通常伴隨著股市的劇烈下跌與資金逃離風險資產（Risk-off）。 - VIX 處於低檔（通常 < 15）：代表市場情緒穩定，投資人具有信心。這通常是多頭市場的特徵，股市呈現緩步墊高。 經理人視角： VIX 不是用來預測高點的，而是用來捕捉「極端轉折」的。俗話說 "When the VIX is high, it's time to buy"（當 VIX 極高時，往往是股市超跌的買點），但這需要強大的紀律與風險承受度。 2. DXY 美元指數：全球流動性的水龍頭 美元是全球貿易與金融體系的儲備貨幣，美元指數（DXY）的強弱，直接決定了全球資金的流動方向。 與股市的關係：通常為負相關（反向） - 強勢美元（DXY 上漲）：代表資金回流美國或買入美元避險。這對股市有三個負面影響： - 流動性緊縮：全球（尤其是新興市場）的資金被抽乾。 - 企業獲利受壓：美國跨國企業的海外營收換算回美元時會大幅縮水（匯損）。 - 原物料承壓：以美元計價的大宗商品變貴，壓抑全球需求。 - 弱勢美元（DXY 下跌）：全球資金寬鬆，資金願意跨出美國尋找高報酬，通常會帶動新興市場（如台灣、韓國）及全球股市的繁榮。 經理人視角：觀察 DXY 是判斷資金是處於「進攻」還是「防守」的最佳指標。當 DXY 強勢突破時，資產配置必須增加防禦性部位。 3. Oil 原油：經濟增長與通膨的雙刃劍 原油是工業之母，它的價格變化對股市的影響最為複雜，因為它必須區分是「需求拉動」還是「供給衝擊」。 與股市的關係：非線性，取決於總經環境 情境 A：溫和上漲（經濟復甦期）-> 正相關。如果油價上漲是因為全球經濟活動熱絡、工廠開工率高（需求拉動），這時股市通常會跟著上漲，因為企業獲利正在擴張。 情境 B：急速飆升（供給面衝擊）-> 負相關。比如地緣政治引發油價暴漲。這會導致「停滯性通膨」（Stagflation）的擔憂：企業成本暴增、消費者購買力被吞噬、央行被迫升息。這是股市最害怕的情境。 情境 C：暴跌（衰退擔憂）-> 負相關。如果油價崩盤是因為市場預期全球經濟將步入嚴重衰退，股市同樣會遭到拋售。 經理人視角： 油價在 $70 到 $90 之間通常是股市的「金髮女孩區間」（不太冷也不太熱）。一旦突破 $100 甚至更高，它就會成為刺破股市泡沫的通膨引線。 --- 綜觀上述的內容，單從油價來看，尚未出現一根長黑下跌前，適合稍微保守耐心等待，畢竟市場永遠都在，活的久，是最重要的。