Approach

How I think about research

Four main streams

Most projects fall into three buckets that talk to each other: company work, macro context, and process.

Single-name deep dives: unit economics, competitive dynamics, and valuation versus peers.
Macro + factor work: regimes, rates, style rotations, and sector/region spreads.
ETF and index analysis: building simple ways to express views without stock picking.
Methods notes: Monte Carlo setups, sanity checks, and process frameworks.

Principles

Start with the business: customers, cash flows, and competitive moat. Then layer macro and sentiment on top, rather than letting the narrative lead.

I try to keep a clear distinction between “great company” and “great stock”, think in probabilities, and make sure each conclusion has a traceable path back to data, assumptions, and scenarios.

Tools are mostly Python and Excel. The goal is not fancy models but transparent ones that make it easy to see where things break.