We aren't topping until they get the @AnthropicAI IPO out in November and @OpenAI in 2027.
Eerily, that does align with @jasongoepfert 1929 and 1999 precedents.
Full episode out NOW with @RichardMoglen!
I’m glad and grateful to be apart of his and @TraderLion first ever in-person podcast.
Let me know what you think!
https://t.co/w14Zc6Hzmt
JP Morgan surveyed 100+ billionaires and found that reading ranked:
• #1 in habits they attributed to their success
• #7 in hobbies they were most passionate about
If you want to go far in life, it helps to be a reader.
.@PradeepBonde market monitor sees a breadth thrust day with primary and secondary indicators turning green.
We now have:
*$SPY $QQQ above 10/20 MA
*NASI is just hooking up from oversold
*NASDAQ net highs again
* Pradeep MM back green
What is the most misinterpreted quote from Livermore and in trading???
THIS.
"It never was my thinking that made the big money for me. It was always my sitting. Got that? My sitting tight!" — Jesse Livermore
People take this quote and tell others that it is only about riding a winner for a long time. That is critical for outlier and outsized gains, but what Livermore emphasized more was sitting in cash and waiting for the right opportunities where all factors aligned.
U.S. VP JD Vance:
“We have tried for 21 hours, but we are returning to the U.S without an agreement. And I think that's bad news for Iran much more than it's bad news for the USA. They have chosen not to accept our terms."
Nobody tells you this: You can get pretty damn far in life by just being someone people can count on to show up and do the work. Reliability is the cheat code. Stop overcomplicating success. Show up, do the work, repeat. That’s it.
Welcome home Reid, Victor, Christina, and Jeremy! 🫶
The Artemis II astronauts have splashed down at 8:07pm ET (0007 UTC April 11), bringing their historic 10-day mission around the Moon to an end.
There has been a long standing debate in Finance AI around "who wins": the foundation labs vs. the finance specific AI platforms (pejoratively, "the wrappers")
The pendulum in asset management has shifted back towards a strong consensus that foundation labs directly are the winners, Claude specifically. "Why work with a wrapper when I can work direct with Claude Enterprise?". And foundation labs building finance RL sandboxes and building big forward deployed engineering teams (and have endless capital) have reinforced that belief "OpenAI is hiring investment bankers, game over..."
My sense is this race isn't over, however.
Imaging you are an asset manager and you hitch your wagon to the Claude Complex:
> Opus 4.6 nerfed in earnings preview season
> Token bill arrives and after the "first hit is free" dynamic abates, your token budget explodes (and once the tool is in investor's hands, it is super hard to control usage). I'm no expert in token economics, but I do know that Uber used to sell $15 rides for $5 and I suspect Claude is selling thousands of dollars of compute for $200/month. This LLM capex burn isn't sustainable forever, and this isn't a sustainable foundation on which to transform your firm's investment process (see same $5 Uber ride now $50).
Perplexity has shown me the future with Perplexity Computer, an agentic multi-model workspace, with access to 19 models that is insanely user friendly. Guess what's not nerfed today? Research context, workflow context & enterprise security are also critical, so not necessarily arguing Perplexity Computer is the winner (they could be), but evidence like this suggests a more thoughtful bet is a multi-model approach that considers the LLM capability cycle (nerfing and leapfrogging) and token economics (using frontier intelligence economically).
Repeating this daily changed the wiring of my trading brain:
"God [replace with anything you want] grant me the serenity to accept that the markets will do what they want, when they want, regardless of what I want."