$Direxion Daily Semiconductors Bear 3x Shares(SOXS)$ The government chose inflation to save Japan. It was near a US bond sell-off to support the yen. 86.3 billion in yen for euro trades and access to the US repo market. The Fed seems to be veering from guardrail to guardrail. This will cause inflation to run out of control, as seen in real time in the last 3 days in markets, and in order to tamp it down the Fed will need to raise rates or let inflation rage.
$Direxion Daily Semiconductors Bear 3x Shares(SOXS)$ There were record inflows into SMH and SOXX last week, coming right after what looked like manufactured near-capitulation conditions. The data is easy to check, but spreading fear and FUD seems to be the easier route for some. According to Bloomberg, institutions have been vocally and greedily snapping up oversold semi shares — so it ended up being a great time to add to any long position in SMH and SOXX.
$SK hynix(SKHY)$ So the 2026 earnings estimate is around $26, and 2027 is $33? That comes out to only 4x forward EPS. Based on the numbers I'm seeing, the 2027 PE ratio would be around 4x. That's insanely cheap if those estimates are accurate. I'm just looking into it for now.
$ServiceNow(NOW)$ I think Bill mentioned during the call that there's some surprise news coming, something he said would arrive in the coming weeks. I'm just waiting to see what that turns out to be.
$SpaceX(SPCX)$ SPCX might follow a similar path to what TSLA did — an initial pop after the IPO, then a drop, and eventually a recovery and acceleration phase that ends up creating wealth. The way I see it, a one-month performance snapshot doesn't really tell you much about the five-year outlook.
$Alphabet(GOOGL)$ $Alphabet(GOOG)$ $Tesla Motors(TSLA)$ Today's developments show a clear pattern. Google's situation highlights the need for more inference capabilities, which in turn drives demand for more HBM and DRAM, pointing directly to Micron. Then you have Tesla, with Elon Musk publicly thanking Micron for allocating capacity to them. So you have two of the world's largest AI developers openly discussing memory allocation as a critical issue. It makes you wonder which other companies are in a similar position of needing memory. The list is long: Meta, Microsoft, Amazon, xAI, OpenAI, Oracle, and many others. Memory is clearly becoming strat