To The Moon

$SpaceX(SPCX)$  There is a piece of news that keeps getting overlooked. Something like $175 billion in cash sitting on the sidelines. I imagine the current float is getting very small.

$SpaceX(SPCX)$ The best time to buy is during a bear market. When the next bull cycle comes around, you'll be glad you did.

I sold September $15 puts on $Tradr 2X Long SNDK Daily ETF(SNXX)$  for $5.70. It's an out-of-the-money trade, with the strike $2.60 below the current stock price. The collateral required is $9.30, and if successful, the return over about two months would be around 61%. That seems like a solid setup.

$IBM(IBM)$ $Micron Technology(MU)$ The first components for ASML's next-generation chipmaking tool have arrived at the New York State Nano Tech Complex, which is the only facility of its kind in North America. Each of these tools costs around $400 million, and they're essential for producing advanced processors going forward as chipmakers continue to shrink the atomic-scale features on chips. IBM, Micron, and Tokyo Electron are partners at this facility.

$Direxion Daily Semiconductors Bear 3x Shares(SOXS)$  $ProShares Ultra VIX Short-Term Futures ETF(UVXY)$ The way I see it, we could be looking at a financial crisis on par with 2000 and 2008. The drivers seem to be corruption, leverage, excessive debt, extreme valuations, and geopolitical chaos. Current price action isn't really reflecting any of these underlying realities.

There's a chance the market is underestimating the demand side for HBM. The idea that more advanced AI reasoning models will always require less compute might be off. More reasoning-heavy models can actually lead to higher requirements for tokens, inference steps, memory bandwidth, and HBM capacity. While the cost per token might look lower, the total compute cost per completed task could increase. This reminds me of how AI optimization is getting more application-specific, similar to ASICs. Improving one area often creates new demands in another. The race isn't just about software; it's also about the underlying chips, memory, and infrastructure needed to run these models. That points to ongoing demand for AI GPUs, HBM memory, data centers, and networking. Names like

$SK hynix(SKHY)$ Looking at the strength in the labor market and inflation coming down, it's hard to see the reasoning behind the NASDAQ being at a monthly low. The market could open around $170 and close near $175.

$IBM(IBM)$ One of those moments... If this continues, I might have to buy at $204 per share. Oh no!

$SK hynix(SKHY)$  I think there's a chance it could reach $250.

$Roundhill Memory ETF(DRAM)$ Started a long position in the $55.90 to $56 range. I'm scaling in and plan to add more at my technical levels. The market sentiment can be a bit herd-like sometimes, whether it's bullish or bearish. I closed my short position earlier. Over the long run, focusing on long-term contracts gives me more confidence here than short-term ones. This volatility will pass.