$Fluence Energy, Inc.(FLNC)$ I can’t predict daily stock moves. I just keep patiently accumulating my positions on every dip, adding tiny stakes over time since we never truly know how deep the pullback can go — especially with my small piggy bank 😆 Small positions each time. Looking at the trend though, my girlfriend $Fluence Energy, Inc.(FLNC)$  has already lost massive weight and is becoming even more attractive now. It’s getting harder for her to lose even more weight because she’s already slimming down nicely.The time will come for a revengeful meal.  Muthu boy holding her hand proudly already 😆 While rallies can always be used to take profits and sell into strength, I still prefer to grad

$Fluence Energy, Inc.(FLNC)$  Patience is a position. 🧘‍♂️ Watching Fluence Energy (FLNC) currently trading at 20.60, down about 3.22% today.  While others might see a dip, I'm collecting these 'cheap' shares now to set up for the next rally.  Sit back, relax, and let the strategy play out. 📈  

The bigger concern for $Fluence Energy, Inc.(FLNC)$  is not just the 20M share sale — it’s the shelf registration tied to ~117.7M shares eligible for future resale. Important:This does NOT mean 117.7M shares are being dumped immediately. But it means the SEC registration is now active, allowing existing holders to gradually sell shares into the market later without needing a new filing each time. Estimated impact: • Current public float before deal: ~97M shares • 117.7M registered shares = ~121% of existing float That’s why traders call this a “massive overhang.” Market interpretation: • Near-term 20M offering already increases float by ~20.6% • Full registered resale capacity is actually larger than the entire previous public float Even if o

Everpure $Everpure(P)$  looks like a credible S&P 500 candidate for 2027 rebalancing, especially if the current AI infrastructure cycle continues.  The two most likely windows would indeed be: June 2027 — higher probability September 2027 — backup scenario if profitability/market cap timing misses the June cutoff Why June is more likely: S&P committees usually make many changes around the annual June rebalance. Everpure now has: strong recurring revenue, positive GAAP profitability, large and growing market cap, strong AI/datacenter narrative, institutional ownership, NYSE listing, improving cash flow.  Pure Storage Investor +1 The biggest remaining requirement is maintaining: consistent GAAP profits over trailing quarters, suf

$Everpure(P)$   storage is like that one Muthu boy at the prata shop ah… everybody laugh at him at first because he slow slow one, flipping prata only. But suddenly midnight crowd come, boom — whole shop depending on him. 😂 I see this business becoming a massive beneficiary of the AI infrastructure boom, especially in the area of memory optimization. This AI cycle also same story. 1️⃣ The Brains — NVIDIA / AMD First wave everybody rush buy GPU like Singaporeans rushing tissue packet during sale. AI training cannot run without these chips. 2️⃣ Wave 2 — Semiconductor kaki rally People then realize, “Eh boss, not only GPU can make money leh.” So all the supporting semiconductor companies also start flying. 3️⃣ Wave 3 — The Storage Uncles Seaga

Don’t really understand why people subscribe to StockOracle and make investing look so complicated. Today, ChatGPT can already handle most of the heavy lifting for research and analysis. The problem is some people focus too much on churned-out numbers and spreadsheet models — tweaking Excel cells until the outcome matches what they already want to believe. That’s not investing, that’s just fitting the narrative to the conclusion. You manually key in Year 1–5 growth at 18%, then slow it to 12% for Years 6–10, and suddenly the software spits out a $220 target price for ORCL. The outcome was already determined the moment you chose conservative growth assumptions. Of course the intrinsic value comes out low. This is classic garbage in, garbage out — nothing magical, nothing intelligent. It’s b

The AI narrative is shifting rapidly right now, moving away from simple "chatbots" toward autonomous action (agents) and massive backend infrastructure utilization.  ​1. The Real Money is in the Plumbing (AI Infrastructure) $Oracle(ORCL)$   $Amazon.com(AMZN)$   $Microsoft(MSFT)$   $Alphabet(GOOG)$   ​The Token Explosion: As AI agents like OpenAI's OpenClaw and Google's Remy perform multi-step, background tasks (e.g., checking your calendar, reading 50 emails, drafting a response, and coordinating with another app), they consume exponentially more tokens than a human typing a s

The Oracle ($Oracle(ORCL)$  ) story ah… this one not finished cooking yet. The rally just like your kosong prata — still flipping, not even serve yet 🚀 Now you see ah, last time all the customers queue at Claude Code (Antrophic) stall. But recently, more and more people walk over to Codex side. Why? Taste already similar… but Codex (OpenAI) got bigger kitchen, more firepower. Cook faster, serve faster. This kind of habit ah, once customer switch, very hard to go back one. Sticky like egg on your prata pan. Now come the interesting part. Oracle like the shop owner who partner with the biggest supplier OpenAI. While others still thinking whether to buy more flour, Oracle already go take big loan, build h

​The David and Goliath of E-Commerce: GameStop’s Quest for eBay $GameStop(GME)$   $eBay(EBAY)$   @TigerObserver  @TigerPM  @Daily_Discussion  @MillionaireTiger  @TigerStars   ​1. The Unthinkable Headline ​It started with a bombshell from the Wall Street Journal: GameStop is preparing an offer for eBay. At first glance, the math looks broken. GameStop, a company valued at $12 billion that most

$Oracle(ORCL)$  : The $553 Billion Blind Spot… and a Bigger AI War Nobody Is Pricing In There are moments in markets where the data is obvious… but the narrative refuses to catch up. In my view, Oracle ($ORCL) is one of those situations. Everyone is staring at: Capex Debt Short-term cash burn But almost nobody is properly pricing in: 👉 A $553 billion backlog that could redefine Oracle’s long-term earnings power. That gap between fear and reality is where the story gets interesting. This Isn’t the Same Oracle Anymore Old Oracle was simple: Databases High-margin software Slow, predictable growth New Oracle is something else entirely: 👉 AI infrastructure + cloud hyperscale ambitions And that shift is exactly why pe

Had lunch with a friend yesterday. On IG, he looks like he’s made it—no 9-to-6, posting late-night US market wins, living that “financial freedom” life. I thought he cracked the code. He didn’t. He’s actually scared. He just turned 28 and said something that stuck with me: “I’m winning in the market, but losing in life.” 🚀 The Windfall That Changed Everything Three years ago, he was a fresh grad at a local bank. Started dabbling in Nvidia, IONQ, and Coherent, mixing in options and crypto. Within two years, he pulled off a high six-figure run. That kind of money, that fast, rewires your brain. One green candle out-earned his entire monthly salary. Naturally, he thought: “Why grind for peanuts?” So he quit. Went full-time. Selling covered calls for “passive income.” 🍱 The “GrabFood & Gam

Everyone is still chasing chips like it’s 2024. But the real trade for 2026? It’s shifting—fast. Goldman Sachs’ Toshiya Hari just made a call most people will dismiss: 👉 Overweight hyperscalers, underweight semiconductors. Sounds wrong… until you understand the setup. The Market Is Pricing AI Backwards Chips already had their run Philadelphia Semiconductor Index up ~150% Trading at premium valuations Meanwhile: $Amazon.com(AMZN)$   $Microsoft(MSFT)$   $Alphabet(GOOG)$   $Meta Platforms, Inc.(META)$ 

$ORCL 20260605 170.0 CALL$   $Oracle(ORCL)$   Muthu boy closed his prata shop this long weekend to celebrate Labour Day 🍃 Oracle finally went up, so he said “enough flipping prata, time to flip portfolio.” Trading screen off, green time on—escaping all the AI ghost stories that were haunting Oracle last week 😂