To The Moon

I have had a chance to think, and in my opinion, $IREN Ltd(IREN)$ spending $50M on Golden State Warriors sponsorship is moronic. IREN is a B2B infrastructure provider that largely focuses on serving the multi-hundred-billion-dollar hyperscaler AI demand. This is a waste of money that doesn't help them one bit with this objective. For an unprofitable company that had $234M in operating losses last quarter and that needs billions of dollars of capital to waste $50M a year on a B2C sponsorship is absolutely moronic. This is truly stupid, and the market justifiedly sold the stock. This is a very bad judgement call from the Roberts brothers. However, the company has strong AI assets, and on the grand scheme of things, $50M a year is not that much. Neve

Biotech is showing broad-based strength beyond the AI trade, with momentum building across oncology, neurology, immunology, genomics, rare diseases, drug discovery, and life science tools. This thematic watchlist highlights leading innovators positioned to benefit from the sector's accelerating pipeline and long-term growth trends. One of the strongest sectors outside of AI right now is Biotech. Oncology $Tango Therapeutics Inc.(TNGX)$ $Enliven Treateutics(ELVN)$ $Revolution Medicines, Inc.(RVMD)$ $Relay Therapeutics(RLAY)$ $CG Oncology Inc.(CGON)$

I can't even tell you guys how many crypto companies reach out to me as a "stock-focused thought leader" to say they are mostly pivoting out of crypto and into tokenized stocks. Huge wave is coming. Been building my "fintech" basket and watching it closely. This whole "superapp" narrative has been crushed by the crypto weakness, but I think long term there can be some huge winners. Big names: $Robinhood(HOOD)$ $Circle Internet Corp.(CRCL)$ $Coinbase Global, Inc.(COIN)$ Small names: $SoFi Technologies Inc.(SOFI)$ $Hyperliquid Strategies Inc(PURR)$

So far, AI infrastructure spending has been concentrated in data centers. Companies like $NVIDIA(NVDA)$ $Microsoft(MSFT)$ $Amazon.com(AMZN)$ $Alphabet(GOOG)$ have driven demand for dense GPU servers operating in huge, stable, climate-controlled data centers. While the majority of the AI demand will indeed be served from these purpose-designed data centers, there is a large and growing subset of the AI industry that cannot be served from these on-the-ground data centers. And that is Physical and Military AI. The next stage for AI is moving out of the data center. Instead of sending sensor data back to the cloud, organizat

As AI workloads continue to drive unprecedented demand for high-bandwidth memory (HBM), the investment opportunity extends far beyond memory manufacturers. From HBM producers and foundries to lithography, deposition, etching, testing, and TSV packaging, every stage of the semiconductor value chain is benefiting from the next wave of AI infrastructure spending. Here's a complete look at the companies powering the HBM-DRAM ecosystem. HBM Makers: $Micron Technology(MU)$, Sk Hynix, Samsung Foundry: $Taiwan Semiconductor Manufacturing(TSM)$ $Intel(INTC)$ Photolithography: $ASML Holding NV(ASML)$ Etch:

While much of the market's attention remains fixed on the largest AI winners, several growth stocks continue to trade at valuations that could underestimate their long-term potential. From Grab's expanding fintech ecosystem and dLocal's attractive earnings multiple to Ondas' defense opportunity and Broadcom's AI-driven growth, these four companies stand out as compelling names for investors seeking growth at a reasonable price. 1. $Grab Holdings(GRAB)$ Is $GRAB Undervalued? - 51.6M Users - $23.3B GMV - $6.3B Cash - 20% 2028 Revenue CAGR - 32% 2028 EPS CAGR - 40% Below Consensus Price Target 2. $Ondas Holdings Inc.(ONDS)$ Will $ONDS work from here? - Unprofitable - Strong Backlog - 127% 2028 Revenue CAGR -

This is the golden age of tech. There has never been a better time to be an investor. Trillion-dollar industries are literally unfolding before our eyes: • Al: $Dell Technologies Inc.(DELL)$ $Micron Technology(MU)$ $SanDisk Corp.(SNDK)$ • chips: $NVIDIA(NVDA)$ $Intel(INTC)$ $Advanced Micro Devices(AMD)$ $Taiwan Semiconductor Manufacturing(TSM)$ $ARM Holdings(ARM)$ • space: $Rocket Lab USA, Inc.(RKLB)$

From Nvidia's rare streak of relative underperformance to the S&P 500 reclaiming key technical levels, markets are sending mixed signals as the quarter draws to a close. Meanwhile, the Nasdaq 100 is approaching one of its strongest quarterly performances in decades, while Sandisk and ON Semiconductor are testing important technical inflection points that could shape their next moves. 1. $NVIDIA(NVDA)$ Nvidia $NVDA has now underperformed the $SPDR S&P 500 ETF Trust(SPY)$ for 6 consecutive trading days, its longest stretch of relative underperformance since September 2025 📉 📉 2. $SPDR S&P 500 ETF Trust(SPY)$ S&P 500 $SPY closes above both its 50-day m

Robotics is rapidly evolving into one of the largest long-term investment themes, powered by breakthroughs in AI, automation, sensors, semiconductors, and autonomous systems. Here's a comprehensive watchlist of publicly traded companies positioned across the entire robotics value chain. A List of Robotics Stocks: Humanoids $Tesla Motors(TSLA)$ $XPeng Inc.(XPEV)$ $Xiaomi Corp.(XIACY)$ $Hyundai Motor Co., Ltd.(HYMTF)$ Sensors $APi Group Corp(APG)$ $Ouster Inc.(OUST)$ $Arbe Robotics Ltd.(ARBE)$ <

My positions need a catalyst. Two types: 1) defined catalyst, 2) undefined catalyst. Defined catalyst: - happens on a known date or within a known window - you know what you’re waiting for example - $SpaceX(SPCX)$ ipo - product launch - earnings Undefined catalyst - you know what could drive the business - you just don’t know when the market will recognize it examples: - ai driving demand for cybersecurity - aging demographics increasing healthcare demand - robotics adoption I trade them differently. Defined catalysts = better for shorter-term positioning Undefined catalysts = better for accumulating + waiting for the thesis to play out. Know your catalysts intimately pre-trade.