How I think about markets, strategy, and technology.
My interests sit at the intersection of financial modelling, valuation, equity research, market analysis, and analytics — extending into portfolio management and, more recently, a deeper focus on Agentic AI and LLMs. My background in analytics shapes how I approach problems: structured, data-driven, and grounded in decision-making rather than theory.
This platform exists for two reasons: to compound my own thinking in public, and to impose discipline on continuous learning.
Just thinking — in public, with skin in the game.
The Calm Before the Crack. Okay, so let me explain what happened…
I turned on CNBC this morning and nearly spilt my coffee. Then…
Sometimes, headlines can be deceiving. The consensus sees a number like 7.4%…
A framework for understanding what changes when AI systems can take sequences of actions, not just answer questions.
Practical patterns from applying LLMs to equity research and financial modelling — the honest version.
Why the people who will use AI best are the ones who already think in feedback loops.
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