To The Moon

$EQT Corp(EQT)$ EQT has become one of my favorite energy names to DCA into at the current stage of the market cycle. The biggest reason is simple: EQT controls one of the strongest natural gas asset bases in the United States, and demand for natural gas is entering a multi-year structural expansion. Between AI data centers, power generation growth, LNG exports, and industrial demand, the market is beginning to realize that natural gas may remain one of the most important transition fuels for much longer than expected. EQT is positioned directly at the center of that trend. Another reason I continue accumulating EQT is the company's improving financial discipline. Unlike older energy cycles where producers aggressively overspent during rallies,

Today my stock in focus is $Rigetti Computing(RGTI)$   after the quantum computing name exploded nearly 30% higher following a major policy catalyst from Washington. The Trump administration reportedly plans to award up to $2 billion in grants across nine quantum computing companies, with Rigetti expected to receive around $100 million in funding in exchange for government equity stakes. Markets are interpreting this as a strong signal that quantum computing is now viewed as a strategic national priority alongside AI and semiconductors. What stands out is that this is no longer just speculative hype around futuristic technology. The U.S. government is now directly tying capital, ownership, and national security interests into the quantum

SpaceX’s S-1 confirms Starlink is the real engine. Connectivity now drives over 60% of revenue with strong margins, while Launch mainly supports cheaper and faster satellite expansion. SpaceX increasingly looks like a global communications platform, not just a rocket company. The AI division is the biggest question mark. Losing billions with huge CapEx is risky, but Musk is clearly betting on combining X, Grok, Starlink, and orbital infrastructure into one ecosystem. Whether that deserves a large part of the $1.8T valuation is what investors need to decide. I think today’s valuation is mostly pricing Starlink, while Starship and AI are the long-term upside. If both execute well, SpaceX could become the satellite-era version of Amazon. The IPO also feels more like a funding round for futur

My stock in focus today will be $NVIDIA(NVDA)$  after another monster earnings report that continues to reshape the AI narrative. Q1 revenue surged 85% YoY to US$81.6 billion, while Q2 guidance came in at US$91 billion, implying nearly 95% growth. This also marks the third consecutive quarter of accelerating annual growth and the 14th straight quarter of sequential growth. Free cash flow hit a record US$48.6 billion, while shareholder returns reached US$20 billion. What stood out to me most was the changing structure of Nvidia's growth engine. The company split its data center business into Hyperscale and ACIE segments, and both are now approaching similar scale. ACIE, which includes enterprise AI, industrial AI

I recognize the sharp shift in rates expectations, $US30Y(US30Y.BOND)$ pushing to 20-year highs and hike odds repricing aggressively. That’s clearly tightening financial conditions fast, and I understand why metals and other rate-sensitive assets have already reacted while equities are only starting to adjust. Even so, I remain bullish going into $NVIDIA(NVDA)$ earnings tonight. I still see NVIDIA benefiting from a strong AI infrastructure cycle, with demand, backlog, and data center spend likely outweighing short-term macro pressure. The structural growth story hasn’t broken even if rates are moving against risk sentiment. That said, I’m aware of the “good news gets sold” risk in this environment.

What stands out to me is Trump’s portfolio shift from software into AI hardware, semis, EDA tools, and banks. It reinforces the market narrative moving toward AI infrastructure and capex beneficiaries like $NVIDIA(NVDA)$ $Broadcom(AVGO)$ and $Synopsys(SNPS)$ . I get the logic, but I’m cautious about treating the disclosure itself as a signal. When capital flows and political visibility overlap, it can easily amplify short-term sentiment more than fundamentals. Still, it does highlight where attention and liquidity are concentrating right now. On the market side, I think AI-driven EPS growth can still support the $S&P

I think Musk perfectly timed the Starship V3 launch with the IPO roadshow. If the launch succeeds this week, it will massively strengthen the SpaceX narrative before investors even read the filing. This is no longer just a rocket company IPO — it is being marketed as the future of AI, satellites, and space infrastructure. Personally, I think the $1.75 trillion valuation already prices in a huge amount of future optimism. Long term, SpaceX may grow into it, but short term the valuation feels very sentiment-driven with little room for execution mistakes. I probably would not chase aggressively on IPO day. I’d rather wait for volatility to cool down and slowly build positions over time. For now, I still like $Rocket Lab USA, Inc.(RKLB)$ and

My stock in focus today will be $NVIDIA(NVDA)$   as the company prepares to report earnings after Wednesday's close. Despite recent volatility across AI stocks, expectations remain extremely high, especially with Bank of America highlighting five major catalysts including shareholder returns, gross margin strength, Vera Rubin ramp timing, long-term AI revenue outlook, and competition from$Alphabet(GOOGL)$  TPUs. What stands out to me is that Nvidia still appears to have significant earnings momentum. Bank of America expects another $2B–$4B revenue beat versus Wall Street expectations, while also projecting Nvidia can maintain around 70% share of the future AI

$Direxion Daily MU Bull 2X Shares(MUU)$ After the explosive rally across the AI and semiconductor sector, memory stocks are finally seeing a healthy pullback, and that is exactly why I started collecting exposure through the Direxion Daily MU Bull 2X ETF. Instead of chasing strength during peak optimism, I prefer building positions when sentiment cools down and short-term traders begin taking profit. In my view, the long-term AI demand story for high-bandwidth memory, data centers, and enterprise storage remains intact despite the recent volatility. What attracts me to MUU is the leveraged exposure to Micron and the broader memory cycle. Memory stocks tend to move in powerful waves — they can rally aggressively during upcycles but also experie

Monday’s selloff looks more like positioning and seasonal pressure (“Sell in May”) than a breakdown in the AI trend. With AI names already stretched into $NVIDIA(NVDA)$ earnings, I’m not panicking, but I do expect continued volatility in high-beta stocks like $NEBIUS(NBIS)$ , $Lumentum(LITE)$ , and $Corning(GLW)$ . On the Fed side, I think the removal of forward guidance under Kevin Walsh increases uncertainty rather than reducing it. I’m staying more selective with sizing and holding some dry powder, since policy-driven volatility could rise through the summer. For NVDA, I’m still long-term constructive but aware e