Record numbers of US executives are selling shares in their companies
as corporate insiders from Goldman Sachs to Tesla and even Donald’s Trump’s own media group cash in on the stock market surge that has followed his election victory. The rate of so-called insider sales has hit a record high for any quarter in two decades, according to VerityData. The sales, by executives at companies in the Wilshire 5000 index, include one-off profit-taking transactions as well as regular sales triggered by executives’ automatic trading plans. The Wilshire 5000 is one of the broadest indices of US companies. While insider selling is routine — especially as the stock market was already breaking records before Trump’s win — the surge following November 5 underscores how US executives are already profiting personally from his return before he re-enters the White House. https://lnkd.in/eYWW3E5M Source: FT
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Source: Bitcoin Archive
Interesting point by Barclays on AI stocks
Source: Barclays
Based on earnings yield, Brazilian equities have never been cheaper relative to US stocks.
Source: Bloomberg, Tavi Costa
Here's the outperformance (vs. S&P 500) of a pure play Trump index created by Alpine Macro.
It owns DJTA, Bitcoin, Tesla and GEO equally-weighted
🚨BREAKING: Bitcoin surpasses the Great British Pound (GBT) to become the 5th largest currency in the world 🌎!
Source: BrianDeMint
Feast on Small Caps?
The "Thanksgiving/Santa Claus rally trade" starts next Tuesday. Based on historical data, the S&P 500 up 79.73% of times since 1950. Average return is 2.58%. Since 19790, the Russell 2,000 is up 77.78% of times during this period, with an average return of 3.34%. We are supposed to enter the 3 months of the year: Santa Claus Rally + January effect. Source: Jeffrey A. Hirsch @AlmanacTrader
As highlighted by Andrea Lisi, CFA on X, market participants and policymakers have not fully understood the heavy toll artificial intelligence will take on our Electrical grid.
As shown on the chart below, a single Google search query typically uses about 0.3 watt-hours (Wh) of electricity. On the other hand, each ChatGPT query is estimated to consume around 2.9 watt-hours of electricity, which means 9.66 times more energy than a Google query! To run AI at scale, both the private and public sectors will have to invest a significant amount of money to strengthen the electricity grid.
