To The Moon

$Foxconn Industrial Internet Co.,Ltd.(601138)$ $NVIDIA(NVDA)$ $Apple(AAPL)$ 🇨🇳🤖🦾🦿🤖ⒷⓊⓁⓁⒾⓈⒽ🦿🦾🤖🇨🇳 🤖✨ Foxconn’s Quantum Leap: Humanoids and Record Growth ✨🤖 The manufacturing titan Foxconn is embarking on a transformative journey, integrating humanoid robotics while simultaneously scaling new heights in financial performance. This strategic pivot not only reaffirms Foxconn’s vanguard status in cutting-edge technology but also heralds an unprecedented era of innovation in global manufacturing. Let’s delve into the multifaceted reasons why Foxconn is poised for industry dominance. 🔍 A Look at the Numbers: Foxconn’s Stellar Performance    •  &

$Fortuna Silver Mines(FSM)$ 🌟B̳ U̳ L̳ L̳ I̳ S̳ H̳ 🇺🇸🌟🏆 FSM: Entering a Golden Age of Opportunity 🏆🇺🇸🌟 "This will truly be the golden age of America" 🇺🇸🌟🇺🇸🌟🇺🇸🌟🇺🇸🌟🇺🇸🌟🇺🇸🌟🇺🇸🌟🇺🇸🌟 “We stand at the birth of a new millennium, ready to unlock the mysteries of space, to free the Earth from the miseries of disease, and to harness the energies, industries, and technologies of tomorrow.” – Donald Trump, Inaugural Address. Fortuna Silver Mines (FSM) stands on the cusp of its own epochal transformation, echoing this visionary sentiment of innovation, prosperity, and untapped potential. Here’s why FSM deserves a prominent position in your portfolio as a future-proof investment: 1️⃣ A Textbook Cup and Handle Breakout, A Proven Bullish Catalyst FSM’s weekly chart re

How I Achieved 3.64% Profit in January: My Options Strategy Achieving consistent profits in the market requires a calculated and disciplined approach. This month, I secured a 3.64% profit primarily through selling in-the-money (ITM) call options, capitalizing on market movements, and taking advantage of timing around high and low points. Selling ITM Calls on High Markets 🚀 One of my key strategies is selling ITM call options when the market reaches higher levels. For example, when Palantir (PLTR) traded at $73, I sold a call option at $72, collecting a premium of $6 with 17 days left before earnings. This approach ensures that I generate income upfront while maintaining a buffer for any potential pullback. Adjusting for Market Lows 📉 On the flip side, when the market is low, I strategicall

$Bakkt Holdings, Inc.(BKKT)$ $Coinbase Global, Inc.(COIN)$ $MARA Holdings(MARA)$ $Riot Platforms(RIOT)$ $Enphase Energy(ENPH)$  🚀🚀🚀📈 🅱️ U͎ L͎ L͎ I͎ S͎ H͎ 🚀🚀🚀 🔥🚀💎 BKKT: The $1,016 Moonshot in the Making, A 3879% Upside Awaits! 💎🚀🔥 BKKT (Bakkt Holdings Inc.) is capturing market attention, with my unrealised gains currently at +1.42% and the stock trading at $28.50. However, the real story lies in its staggering future projection. According to GuruFocus, BKKT’s GF Value in one year is estimated at a jaw-dropping $1,016.37, reflecting an upside of 3879.12%. 💎💎💎 This i

$IONQ Inc.(IONQ)$ at $26 was a gift. $NVIDIA(NVDA)$ was trading $200 before it ran to $1500. $Tesla Motors(TSLA)$ ran from $40 to $4000+ in less then 10 years.IONQ is the next generational stock be patient. History is written by the winners.

1.USA vs the WorldIf you buy an index fund on the MSCI World index (Developed markets), only about 25% of that fund will be invested in the "world"No wonder investors seem to have an attitude of why bother with global (or even non-tech stocks for that matter)Image2."Macro Risk Sandwich" 🥪 Huh?Yup, big thing for 2025:Image3.Tech is Extreme ExpensiveNon-Tech is non-cheapHave a hmm: $Invesco QQQ(QQQ)$ $NASDAQ 100(NDX)$ $SPDR S&P 500 ETF Trust(SPY)$ Image4.Fund manager cash allocations -lightest since 2021Image5.Silver Short Squeeze coming?More charts on precious metals & miners: $Silver - main 2503(SImain)$ Image

Model distillation might be the most important shift happening in AI right now—and it’s reshaping the entire tech industry. It's increasingly becoming a MASSIVE topic. DeepSeek's R1 model released yesterday only reinforced thisModel distillation is a process where a smaller, simpler model (the "student") is trained to replicate the behavior and capabilities of a larger, more complex model (the "teacher"). This is achieved by using the teacher model's outputs (e.g., predictions or reasoning processes) as training data, allowing the student to inherit high performance with reduced size and computational demands.So why is this important? For large AI labs, capital and scale were moats. It took literally billons of dollars of compute and data to pre-train a state-of-the-art model. Let alone al