To The Moon

This disclosure frames expectations clearly and raises the bar for market reaction. What the consensus implies A median of ~420,000 deliveries suggests the market already expects a muted Q4. That is not a growth quarter by Tesla’s historical standards and implies limited seasonal upside despite year-end incentives. With consensus tightly clustered, the room for “forgiveness” is small. Second consecutive annual decline If confirmed, two straight years of falling deliveries would mark a structural inflection rather than a cyclical pause. The narrative shifts from short-term demand softness to questions around product ageing, competitive pressure from China, and the limits of price cuts as a growth lever. Market reaction scenarios • In-line or slight miss: Likely negative to flat. With expect

CES is increasingly less about flashy demos and more about credibility checks for the next phase of AI monetisation. What the market is listening for Investors are no longer impressed by raw compute claims. The focus is on deployment readiness. For Nvidia, this means evidence that its data-centre dominance can extend into physical AI, robotics, and edge inference without eroding margins. For AMD, CES is an opportunity to show that its heterogeneous computing strategy can translate into design wins and real volumes, not just competitive benchmarks. Consumer AI remains the weak link Earlier AI devices struggled because they solved no urgent consumer problem or relied too heavily on cloud backends. This time, the bar is higher. On-device AI must demonstrate clear advantages such as latency re

Within the Tiger community, the tone is generally more conservative than WSB. Trades are usually thesis-driven, anchored in earnings, macro trends, and risk control, rather than pure momentum or leverage-heavy speculation. Overlap with top U.S. stocks was naturally high this year. Megacaps dominated returns, liquidity, and narratives, especially around AI and rates. Holding these names was less about herd behaviour and more about seeking the best risk-adjusted exposure in a narrow market. Looking into the new year, following WSB blindly is risky, but dismissing it entirely is also unwise. WSB can surface early momentum and sentiment extremes, which are useful as signals. The disciplined approach is to observe, filter, and size positions carefully, not to copy trades. The edge going forw

Portfolio 2025 Performance - Total Profit: SGD 86,000 (an 18% gain)   - Dividends Received (YTD): SGD 26,000   Looking ahead, I anticipate a more moderate return in 2026—approximately 10% total, split evenly between 5% from dividends and 5% from capital appreciation. Strategy & Context: Riding the Fed Cycle   The attached performance chart begins in January 2022—the start of my deliberate, full-cycle investment campaign. The core idea was simple yet disciplined: capitalize on the U.S. Federal Reserve’s interest rate hike and subsequent cut cycle. When the Fed began aggressively raising rates, dividend-paying stocks—particularly in Singapore and Hong Kong—declined in price. At the time, I didn’t know the hikes would be "higher for longer," but that very unc

As a Tiger $Tiger Brokers(TIGR)$ community member, I’d say I’m more aggressive overall, but not purely WSB-style risk-taking. I’m willing to accept volatility when there’s a clear long-term thesis, especially in AI-driven names, while still keeping risk management in mind to avoid large drawdowns. My overlap with the lists is mainly $Palantir Technologies Inc.(PLTR)$ , $Tesla Motors(TSLA)$ and $NVIDIA(NVDA)$ which sit in both WSB and Tiger users’

From Brownian Motion to Linear Equations: Systemic Entropy Reduction and Valuation Reconstruction of the $Robo.ai Inc(AIIO)$ MergerToday marks the final trading day of 2025. The New Year's fireworks outside are merely a placebo for emotional investors; for quantitative traders, there is only one task worth performing at this moment: The Annual Factor Re-weighting of portfolio holdings.Regarding the discussion surrounding Robo.ai (Nasdaq: AIIO) acquiring Jidu (Jiyue Brand), the market is saturated with literary rhetoric. As a Data Fundamentalist, I must strip away this qualitative noise and return to the quantitative essence.My model indicates that this transaction is not a simple "expansion," but a textbook case of "Systemic Entropy Reduction." I

$Meta Platforms, Inc.(META)$ $NVIDIA(NVDA)$  $Intel(INTC)$  📊🧠🚀 $META Compression, Pattern Reset, and a Strategic AI Inflection 🚀🧠📊 I’m reviewing all charts together, including the full pattern trading structure, and this is one of those moments where the signal is quietly stronger than the headlines. While much of the AI space is chasing narrative momentum, $META is doing something far more interesting structurally. I’m watching price coil tightly inside the $655 to $666.80 blue bands. This is not random chop and it is not late cycle indecision. This is controlled compression sitting directl

$PulteGroup(PHM)$ $Toll Brothers(TOL)$  $Lennar(LEN)$  📉🏗️📊 PHM Pullback Into the 320DMA, Noise or Opportunity? 📊🏗️📉 I’m watching PulteGroup $PHM ease about −1.2% as homebuilders cool after the hotter Case-Shiller print. That macro pressure is clear, but it’s also well flagged and broadly priced across the group. I’m far more interested in where price is landing. PHM is pulling back into its 320DMA around $117–118, a zone that has historically acted as a stabilisation area rather than a breakdown trigger. About half the time, tests of this long-term average have resolved higher, particularly when the broader trend structure remains intact. I’m no

$Ultragenyx Pharmaceutical(RARE)$ $Spdr S&P Biotech Etf(XBI)$  $iShares Biotechnology ETF(IBB)$  🧬🎯 Brittle Endpoint, Resilient Helix 🎯🧬 When a price cut sharpens the aim, not the thesis 🚨📰 Just in: $RARE proves you can put the target on a diet without starving the thesis. 🏦 Wells Fargo cut its price target on $RARE to $45 from $65 while maintaining Overweight. I read this as probability discipline, not loss of conviction. At roughly $19.72, the revised framework still implies about 128% upside, reframing the move as risk calibration rather than thesis erosion. ✂️ The reset followed Ultragenyx’s setrusumab miss in osteogenesis imperfecta, wh

Imagine a world where AI data centers devour power like never before, electric vehicles zoom across highways in droves, and renewable energy grids stretch farther than ever—all fueled by one essential red metal that's suddenly in ultra-short supply. That's the explosive reality hitting copper right now, and it's pushing prices into uncharted territory with no signs of slowing down. 💥 As we close out 2025, this breakout isn't just a blip; it's a massive signal for investors eyeing macro plays that could redefine portfolios heading into the new year. Let's dive deep into what's igniting this fire. First off, supply chains are cracking under pressure—major mines worldwide are facing disruptions from strikes, weather woes, and aging infrastructure, slashing output at a time when the world need

New year, new resolutions. Some people promise to go to the gym 🏋️‍♂️. Some promise to eat healthier 🥗. Some promise to sleep earlier 😴. Me? I promised myself: 👉 “I will let the market decide my fate, but I will collect premium while waiting.” And that, ladies and gentlemen, is how I ended up selling an IWM put at 251, collecting $0.70 premium, with 3 days to expiry, as a New Year joke — because what better way to welcome a new year than by gambling responsibly with math? 📊😂 ⸻ 🧨 The Setup: A Joke… That Wasn’t Really a Joke It was one of those moments where the market was quiet, coffee was warm ☕, and confidence was high (a dangerous combination). I looked at IWM and thought: “Hey… you look stable. You’re not flying, you’re not crashing. You’re just… existing.” And that’s when the thought h

1. $iShares Silver Trust(SLV)$ I would NOT be buying #silver / $SLV / $Global X Silver Miners ETF(SIL)$ here.This isn’t “Silver is about to crash.” It’s “you’re massively overpaying.”Monthly BX has been in a bull cycle since March 2024 and $SLV is now +190%, trading well above the 2x deviation bands.Historically that’s where pullbacks show up. 2. $SPDR Gold ETF(GLD)$ GLD is up 117%+ since Monthly BX confirmed a bull cycle in Nov 2023.My model had an expected move to 320 by Dec 2025 – we’re already there, trading at a massive premium.Yes, it’s stayed “expensive” and kept rallying, but I would not be buying here. My goal is to buy strong bull cycles at discounts, and

1. $Alibaba(BABA)$ Last 3 times this setup fired on BABA, it rallied ~80% within months.Monthly BX is still in a bull cycle and price is back in the same weekly buy zone.I like 135–145 as an entry range for a potential 50%+ leg higher. 2. $PayPal(PYPL)$ PYPL has a real shot to be a massive winner in 2026 – but not yet.Price is in a strong discount range, but Monthly BX is still dark red = Bear Cycle ❌I’m staying patient on this one. No position for me until Monthly BX confirms a new bull cycle. 3. $NEBIUS(NBIS)$ NBIS Bull Cycle started in May 2025 and it’s now up 200%+ since that confirmation.Last 2 months it’s sold off 42% and is now testing Weekly Bias = short‑

$NVIDIA(NVDA)$ $Tesla Motors(TSLA)$  $iShares Silver Trust(SLV)$  Today’s Most Active Stocks and Options 30Dec25 🇺🇸 | 31Dec25 🇳🇿🥳 Top 5 symbols controlling the tape: $NVDA $TSLA $SLV $MU $VOO 📊 Flow and Volume, Big Money Has Already Voted I’m watching $NVDA dominate activity with 286,134 total contracts and a +27,892 net imbalance across stock and options. That is not speculative churn. That is capital rotating with intent. Structure remains intact, momentum rebuilt, and prior downside attempts resolved into a clean bear trap. Flow has flipped back toward leadership. 🧠 M&A Optionality, Talent Over Headlines NVIDIA is reportedly in advanced