US oil production is now shedding year-over-year for the first time in nearly five years. A ~30% drilling rig collapse over the past three years finally bit production, despite the prevailing narrative that efficiency gains alone would hold the line. 1
The AI tsunami is compressing software, but a handful of AI application winners will break out as true platform-scale businesses. $PLTR has already cemented its spot as a winner, backed by three straight quarters of accelerating RPO. 2
$PLTR reinforced its position with a 10-year, $1B partnership extension with Airbus, solidifying Skywise as a core operating system. 3
Micron’sHBM4 schedule slippage was inevitable. While the stock took a hit on news that NVIDIA HBM4 share would be adjusted to 0%, this was already priced in. 4
A slower, more deliberate trading cadence pays dividends. Less activity, more research, strict plan adherence, and emotional discipline all crystalize when shedding a rushed mindset. 5
If your trading strategy drains you, it’s a mismatch. Trading shouldn’t feel like a hated second job. 6
$MSTR is lining up for a textbook turnaround, mirroring its 2022 rally. 7
$AMZN at $208 ($2.2T market cap) implies bagging a $269B e-commerce arm, clocking ~10% growth. 8
$AMZN might gun for the gap fill at $193. A break below the psychological $200 mark triggers that downside. I’d snap up that dip, banking on a bounce off the blue trend line, a play reminiscent of $MSFT. 9
$HUMcracked a fresh 9.5-year low. This is a headwind for health insurance plays like $UNH, $ELV, and $CNC. 10
Comparing $AMZN (growing revenue ~14% with ~10% margins, trading at ~27x earnings) against $COST reveals divergent narratives or valuation mismatches. 11
Leveraged tech ETFs are running hot. A record 108 long and 31 short tech-related ETFs (total 139) dwarf the next sector, financials (47 funds), by 3X. This signals froth and concentration. 12
The US labor market is losing steam. Despite expected January non-farm payrolls of 70,000 and a projected 4.4% unemployment rate (just shy of November’s 4.5% four-year peak), the report won’t shift the weakening labor market narrative. 13
AI efficiency hits a wall due to systemic friction. A pharma firm saw a vendor promise 1 month savings per project with “AI literature retrieval + automated drug modeling.” Yet, project initialization drags on for 3 months, making the promised gains a joke. Internal processes devour external efficiencies. 14
Technology, especially AI, concentrates power from non-users to users, leveling the field among advanced users, but re-centralizes control within platform providers. The elephant in the room: as AI’s autonomy grows, will it manifest consciousness and a soul? This could be humanity’s first real challenge. 15
A fresh wave of market themes is cresting. Chasing past market leaders from the last three years will bleed returns. Adapt or get left behind, as some will stubbornly force trades in old darlings. 16