If you had invested $10,000 into Google $GOOGL stock 10 years ago and held to today you'd currently have $83,030 Here's how Google stock has performed each year over the last decade 2015: +46.6%🟢 2016: +1.9%🟢 2017: +32.9%🟢 2018: -0.8%🔴 2019: +28.2%🟢 2020: +30.9%🟢 2021: +65.3%🟢 2022: -39.1%🔴 2023: +58.3%🟢 2024: +36%🟢 2025*: +70.3%🟢 (So far)

When you buy $10,000 of the Invesco QQQ ETF $QQQ here’s how much of the largest stocks you’re buying: $936 of NVIDIA $NVDA $875 of Apple $AAPL $752 of Microsoft $MSFT $623 of Broadcom $AVGO $513 of Amazon $AMZN $751 of Google $GOOGL + $GOOG $348 of Tesla $TSLA $301 of Meta $META $227 of Netflix $NFLX

Investing $100 monthly in $TSLA or $META would have beaten most investors.

If you invested $100 10 years ago, what would you have today? 📈💰 1.🇺🇸 NVIDIA 🧠💻 — $24,033 2.🌐 Bitcoin 🪙 — $19,958 3.🇺🇸 AMD 🧠💻 — $15,117 4.🇺🇸 Tesla 🚗⚡ — $4,838 5.🇹🇼 TSMC 🏭🔬 — $1,381 6.🇳🇱 ASML 🔬⚙️ — $1,066 7.🇺🇸 Netflix 🎬📺 — $824 8.🇺🇸 Microsoft 💻🪟 — $809 9.🇺🇸 Amazon 📦🛒 — $759 10.🇺🇸 Google 🔍🌐 — $710 11.🇺🇸 Apple 📱🍎 — $707 12.🇺🇸 Meta (Facebook) 🌐👥 — $547 🖇️ Source: CompaniesMarketCap

🇺🇸 President Trump Revives “Never Sell” — and Reframes Bitcoin as a Strategic Asset Donald Trump made a pointed statement that cuts straight to Bitcoin’s long-term narrative. “Unfortunately, in recent years, the U.S. Government sold tens of thousands of Bitcoin that would have been worth billions of dollars.” Then came the line that resonated across the crypto market: “From this day on, America will follow the rule that every Bitcoiner knows very well — NEVER SELL YOUR BITCOIN.” This isn’t just rhetoric about missed gains. It reframes how Bitcoin is being discussed at the state level. Bitcoin has spent years oscillating between being labeled a speculative asset, a hedge, or a technological experiment. Statements like this push it into a different category entirely: strategic reserve thinki

🚀📈 This year, real generational wealth was created — quietly, at the bottom I called the turns and stayed with the moves: $TSLA Bottomed around $212, ran to $482+ $HOOD Built near $28, expanded to $156+ $NBIS Accumulated around $63, moved to $143+ $ASTS Turned near $36, pushed to $104+ $AMD Cycle low around $78, climbed to $269+ These weren’t lucky guesses. They were moments where cycle pressure, sentiment exhaustion, and structure aligned. That’s where asymmetric outcomes come from. The next bottom-grade opportunity won’t look obvious either. It never does. I’ll post it here when it shows up. The real question is simple: Do you wait for confirmation — or do you prepare to act when conviction is uncomfortable? 🔔 Follow for systematic thinking around cycles, bottoms, and long-term asymmetri

🎯🔥 These 6 stocks are set to outperform the market in 2026 — and could hit these price targets sooner than expected… 1.$TSLA above $800 2.$ASTS above $145 3.$RKLB above $115 4.$IREN above $75 5.$ONDS above $20 6.$NVDA above $260 Don’t miss these opportunities…

🧠🤖📈 Top 10 AI Stocks for 2026 — and why the market may finally reward them My core thesis is simple: By 2026, Mr. Market will stop rewarding AI promises and start rewarding measurable AI results. That means revenue impact. Cost reduction. Operating leverage. Clear proof that AI is changing the income statement, not just the slide deck. These are the 10 names I’m watching through that lens: $IREN Energy + compute. AI doesn’t scale without power, and power economics matter more every year. $NBIS AI-native infrastructure plays tend to surface quietly before results become obvious. $ASML No advanced AI chips without lithography. This is structural, not cyclical. $GOOGL From models to distribution. AI at Google is about scale, data, and monetization, not demos. $ZETA AI-driven marketing and dat

Elon Musk’s 2018 CEO pay package from Tesla $TSLA, worth some $56 billion when it vested, must be restored, the DelawareSupreme Court ruled today - CNBC

The Best-Managed Companies of 2025: 1/ Nvidia $NVDA 2/ Apple $AAPL 3/ Microsoft $MSFT 4/ Alphabet $GOOG 5/ Amazon $AMZN 6/ Mastercard $MA 7/ P&G $PG 8/ IBM $IBM 9/ J&J $JNJ 10/ Caterpillar $CAT 11/ Nike $NKE 12/ Salesforce $CRM 13/ Visa $V 14/ PepsiCo $PEP 15/ Honeywell $HON

Google Cloud $GOOGL and NextEra Energy $NEE announced today a new agreement to develop data centers paired with electric plants The companies are developing three campuses and working to identify additional locations - Bloomberg Separately, Meta Platforms $META and NextEra Energy announced today they have reached ~2.5 gigawatts of clean energy contracts

With just 3 trading days left in 2025 here is the race for the best and worst performing stocks - S&P 500: Race for the best performer 🥇 Sandisk $SNDK +594.7%*🟢 🥈 Western Digital $WDC +298.5%🟢 🥉 Micron $MU +240.6%🟢 Race for the worst performer 💩 Trade Desk $TTD -67.6%🔴 Fiserv $FISV -66.9%🔴 Deckers $DECK -50.3%🔴 - NASDAQ 100: Race for the best performer 🥇 Western Digital $WDC +298.5%🟢 🥈 Micron $MU +240.6%🟢 🥉 Seagate $STX +230.5%🟢 Race for the worst performer 💩 Strategy $MSTR -45.2%🔴 Charter $CHTR -39.2%🔴 Atlassian $TEAM -33.8%🔴 - Dow Jones: Race for the best performer 🥇 Caterpillar $CAT +60.9%🟢 🥈 Goldman Sachs $GS +59.1🟢 🥉 Johnson & Johnson $JNJ +43.7%🟢 Race for the worst performer 💩 UnitedHealth $UNH -35.2%🔴 Nike $NKE -20.7%🔴 Salesforce $CRM -20.7%🔴

Top 10 businesses with the highest revenue per employee: 1 - OnlyFans: $37.6M 2 - Valve: $19.0M 3 - YouTube: $7.6M 4 - $NVDA: $3.6M 5 - Instagram: $2.5M 6 - $AAPL: $2.4M 7 - $META: $2.2M 8 - Twitch: $2.0M 9 - $LYFT: $2.0M 10 - $GOOGL: $1.9M

$GOOGL & $AAPL are partnering to make switching between iPhone &Android smoother. The next phase of AI (agents, multimodal assistants, on-device inference) requires users to be on newer hardware so reducing switching friction helps accelerate refresh cycles. If switching stays painful then people keep old phones longer which slows down how fast Apple & Google can push AI agents to billions of users at scale.

Here are the current largest holdings in the iShares Semiconductor ETF $SOXX 🥇 Advanced Micro Devices $AMD – 8.3% 🥈 Broadcom $AVGO – 8.0% 🥉 NVIDIA $NVDA – 6.4%

🚀🎯 These 5 sectors are positioned to lead markets in 2026 — and they’re where I’m concentrating risk I don’t think 2026 will be about chasing everything. It will be about being in the right structural lanes. Here are the five sectors that stand out most clearly. Space $ASTS, $RKLB, $PL Space is shifting from exploration to infrastructure. Connectivity, launch cadence, and geospatial data are becoming monetizable systems, not science projects. As costs fall and use cases expand, space starts behaving less like speculation and more like logistics. AI Infrastructure $NBIS, $IREN, $CRWV Models don’t run on narratives. They run on power, racks, cooling, and uptime. This layer benefits regardless of which application or model wins. As demand tightens, pricing power migrates toward those who cont

😳Never forget that it took $MSFT Microsoft approximately 16 years to regain the dot com price levels

📊 Most Valuable Brands 2025 1.🇺🇸 Apple — $470.9 B 2.🇺🇸 Microsoft — $388.5 B 3.🇺🇸 Amazon — $319.9 B 4.🇺🇸 Google — $317.1 B 5.🇰🇷 Samsung — $90.5 B 6.🇯🇵 Toyota — $74.2 B 7.🇺🇸 Coca-Cola — $60.1 B 8.🇺🇸 Instagram — $57.3 B 9.🇺🇸 McDonald’s — $53.0 B 10.🇩🇪 Mercedes-Benz — $50.1 B 11.🇺🇸 Cisco — $48.7 B 12.🇫🇷 Louis Vuitton — $48.4 B 13.🇺🇸 YouTube — $48.4 B 14.🇩🇪 BMW — $46.8 B 15.🇺🇸 NVIDIA — $43.2 B 16.🇺🇸 Oracle — $42.1 B 17.🇺🇸 Disney — $41.4 B 18.🇩🇪 SAP — $41.3 B 19.🇺🇸 Facebook — $41.3 B 20.🇺🇸 Adobe — $41.0 B 🖇️ Source: Interbrand

🚀📡 CES 2026: Why This Schedule Quietly Reveals the AI Power Order for the Next Cycle CES 2026 isn’t about flashy gadgets. It’s about who sets the agenda, who follows, and who must react. When you look at the schedule closely, it reads less like an event calendar and more like a map of control across the AI stack. Here’s how to read it properly. ⸻ January 5 — Media Day Compute defines the year before anything else happens The opening night belongs entirely to compute. $NVDA opens Media Day with a special address from Jensen Huang. That alone tells you the market still treats NVIDIA as the default starting point for AI. What matters isn’t product specs. It’s whether NVIDIA frames 2026 around: • platform lock-in • full-stack dominance • or a broader ecosystem narrative Immediately after, $INT

Morgan Stanley just dropped their top stocks for 2026 👇 At the core: • $NVDA - still the highest ROI in AI compute. Vera Rubin ramps in 2H26, delivering a step-change vs Blackwell. Faster, denser, more profitable. This is infrastructure, not a trade. • $AVGO - the cleanest way to play custom silicon and AI networking. ASICs don’t replace Nvidia - they expand Broadcom’s lane. Supporting pillars: • $ALAB - hyperscale AI needs connectivity. Smaller cap, direct leverage to data-center buildouts. • $MU - HBM stays tight, pricing power holds, memory matters more as AI scales. • $AMAT + $TSM - no advanced chips without tools and fabs. Capacity = leverage. • $NXPI + $ADI - the quiet winners as AI demand moves from servers into the real economy. This isn’t one stock. It’s the AI supply-chain stack