Jesus Christ, Santa Clarita, CA, 1bd rentals start @ $1.8k / month!@#$%!🙃😒

GM. I am monitoring the situation- I got this-no worries. 😀

It's a start.❤️ x.com/i/status/2023871698937…

My AI software/semis/hardware design/AI hardware/energy/pharma / quantum stack: NVDA, PLTR, AVGO, TSM, VRT, VST, CEG, LLY, IONQ.

Active portfolio management plan - annual basis: A. Monthly Rebalancing if any asset deviates by - 5% B. Annual Fundamentals Check: Review key metrics: revenue growth (>20%), net income, P/E ratios, debt-to-equity, competitive positioning. Source data from financial platforms (e.g., Yahoo Finance, Bloomberg) or recent reports (e.g., NVDA’s $74B net income, PLTR’s 48% revenue growth). Flag issues like declining margins or regulatory risks . C. Annual Portfolio Performance Review: Compare actual returns to expected CAGRs (80%, 70%, 60%, 70% etc). Define underperformance (e.g., >20% below CAGR for two years) and shaky fundamentals (e.g., revenue growth <10%, rising debt). Consider swapping underperformers with alternatives (e.g., replace AVGO with MSFT if fundamentals weaken). D. Annual Black-Litterman Model: Use fundamentals to form views (e.g., NVDA outperforms AVGO by 15% based on 56% margins). Update market weights with current market caps (e.g., NVDA ~$3.4T). Optimize weights to maximize Sharpe Ratio, ensuring weights sum to 100% and are non-negative. E. Risk Monitoring and Stress Testing: Run annual Monte Carlo simulations to estimate drawdowns (target <40% to align with tolerance). Stress test for scenarios like a tech sector crash or Bitcoin halving. F. Monitor Macro and Sector Trends: Assess AI, semiconductor, and crypto trends annually (e.g., Goldman Sachs’ AI spending forecasts). Adjust Black -Litterman views if macro shifts occur (e.g., interest rate hikes affecting PLTR’s valuation). G. Evaluate Diversification: Screen for additional assets (e.g., AI ETFs, stable tech stocks) to reduce sector risk. Target correlations <0.4 for new additions. H. Set Up Performance Benchmarks: Compare to Nasdaq-100 and S&P 500 annually. Track alpha and beta to ensure risk-adjusted outperformance. I. Dynamic Risk Budgeting: Equalize risk contributions Adjust weights if any dominate risk. J. Factor-Based Analysis: Analyze growth/momentum exposure annually. Balance with value/low-volatility assets if needed. K. Sentiment Analysis: Scrape X and news for sentiment (e.g., NVDA’s bullish posts). Adjust Black - Litterman views confidences annually.

I'm seriously considering buying land in AZ. That's the goal.😎👍💪

BREAKING NEWS: New James Bond preview trailer just dropped. Principal photography starts this summer.

OMG. 🥶

I have decided to open learing center in Minnesota. It seems better ROI than paying taxes.Wish me luck. 🤣👍

Merry Christmas 🤶 youtu.be/T-D1KVIuvjA?is=fZjW…

My perfect set up-few acres of land in Southern Utah, an F450 DRW, Brinkley RV 5th wheel Z3100, driving/hiking/exploring American Rockies.😍

Enjoy your Holidays!

Pro Tip: if you are planning to visit Poland and drive around I suggest public transport. All that driving in US and I have never experienced such rude and aggressive drivers. There are exceptions of course. On top of that, narrow local roads, parking lots that can only fit Fiat Punto or alkie😄. On a positive note, I highly recommend Southern Poland- beautiful mountains, Krakow/Wieliczka/Tyniec Abbey-2 hrs travel to Zakopane-higest mountain range, Warsaw, Gdansk/Hel peninsula, Wroclaw/Karpacz( mountains areas , 1600 m and lower elevations). 😎

GM. Today I had little slip, slide and fall -I guess winter is already here.😄

Just to clarify: I am American currently living in Poland. Years ago I came to NYC on visa Green card then got US citizenship, worked there and then came to California. When 2020 hit I had to sell the house and moved to Poland. I spent more time in USA than Poland - I miss Cali. Enjoy your weekend!😎👍

GM everyone! Many people start to panic due to recent market & BTC mini-correction. If this is your 1st rodeo then welcome 👍 if not then there is nothing that changed fundamentally. You researched your investments, DCA, have time horizon, know volatility etc-then you are ok. Markets will do what they have always done. Enjoy rest of the day and weekend!😎🤝

Hey @BlackRock @Fidelity how about , **Mag Best ETF: The AI Stack That Beats the Hype** *(Not Mag 7. Not passive. Not another NVDA moonshot.)* MBST ETF - a thread. 1. AI CapEx = **$1.4T by 2027**. But most ETFs chase the *brains* (NVDA, MSFT). **Mag Best** owns the *body*: - **Power** (VST) - **Foundry** (TSM) - **Networking** (AVGO) trimmed NVDA/PLTR IONQ quantum 5% BTC Active. Disciplined. Asymmetric. 2. **The Base (66%)** - VST: Nuclear hyperscaler PPAs. EPS 35% ’25. - TSM: 2nm ramp. No one else scales. - AVGO: $12B AI rev run-rate. → Stable, cash-flowing, *undervalued* vs. hype names. 3. **The Growth (22%)** - NVDA: 12% (trimmed from 15%) - PLTR: 10% (P/S 35x? No thanks) Conviction, not delusion. 4. **The Convexity** - IONQ: 7% → $39.9M Q3 rev ( 222%) → $3.5B cash, zero debt → AQ64 Tempo live *Quantum isn’t sci-fi. It’s shipping.* - FBTC: 5% → Institutional hedge. Caps vol. Adds upside. 5. **Rules (Not Hope)** - Rebalance at **±3% drift** - Quarterly rotation on milestones - IONQ >10%? Trim to VST/TSM - BTC >8%? Lock gains 6. **Hurdles? Solved.** - SEC: Rule 6c-11 ready - Vol: Buffered puts active caps - Liquidity: $50M seed Jane Street APs - ER: 0.65% → 0.50% at scale Target: **$500M AUM Year 1** 7. This isn’t a dream. It’s a **pitch deck**, a **conviction**. Who wants to build it? Let’s stack the future. Lets build 21st century. #MagBest #AIPower #Quantum #ETF

Lets talk about item 10 and 11 for active management: define bull/bear/flat market scenarios and weight probabilities-run Monte Carlo simulations of possible paths-MC simulation is effective for large time scales and it deals with probabilities-not predictions. It does not take into account fundamentals and tail risks/unknown events-ex, wars, tariffs, etc // scrape X for news and sentiment and adjust Black Litterman view confidences annually .

Our active portfolio management includes point 8 and 9: adjust weights based on fundamentals and analyze growth / momentum exposure ; balance with value/low-volatility assets if needed.

If you invest or trade( I don't recommend( you probably know the pattern-some so called influential investor / self made " millionaire " on X knows about xyz and is sure of price target etc. Truth is nobody knows when and what the price will be. Do not follow blindly-check fundamentals, asses risks and size appropriately if you even consider jumping in. Remember-your risk profile might be different from somebody else.