Analytical perspectives on research discipline, market signals, scenario thinking and the habits that support more independent investment decisions.
Most private investors spend more time searching for the right answer than examining whether they are asking the right question. That asymmetry is costly. A well-framed question — one that identifies what you are actually trying to understand, what evidence would change your mind and what assumptions are already baked into your thinking — is worth more than a confident conclusion reached without that groundwork. Research discipline begins with the quality of the inquiry, not the quality of the output.
The articles collected here are written for investors who want to think more rigorously about the information available to them. They cover the analytical habits that make a material difference to decision quality: how to read a market signal without overfitting it to a pre-existing view, how to construct scenarios that are genuinely distinct rather than variations on the same optimistic theme, how to examine a company's fundamentals without being captured by the narrative management prefers. None of this is about predicting the future — it is about being honest about what you know and what you do not.
Investment research is not a one-time activity. It is a continuous discipline that improves with practice and deteriorates without it. These pieces are intended to support that practice — to offer frameworks, sharpen instincts and occasionally challenge the assumptions that investors carry without realising it. Read them as prompts for your own thinking, not as conclusions to adopt.
Learn more about our approach
A price move, a volume spike or an unusual options pattern can each be read as a signal — but a signal of what, exactly? This piece examines the gap between noticing something in market data and understanding what it means, and why that gap is where most interpretive errors are made.
Read the article →Scenario analysis loses its value when all three scenarios are effectively the same thesis with different labels. This piece looks at what makes scenarios analytically distinct, why the uncomfortable scenario is usually the most instructive, and how to use the exercise to surface assumptions rather than confirm them.
Read the article →Volatility tends to provoke an emotional response before it provokes an analytical one. This piece argues for treating volatility as a data point rather than a verdict — examining what it might indicate about market structure, sentiment and the distribution of opinion, without assuming it tells you what to do next.
Read the article →An investment that makes sense in isolation may look quite different when examined alongside the rest of a portfolio. This piece explores how concentration, correlation and the interaction between positions affect the analytical questions worth asking — and why reviewing a holding in context is a different exercise from reviewing it alone.
Read the article →Management teams are skilled at presenting numbers inside a story. This piece examines how to read a set of company fundamentals with enough critical distance to notice what the narrative is designed to emphasise and what it is designed to obscure — and which figures tend to be more revealing than the headline ones.
Read the article →The moment a decision becomes urgent is the moment analytical discipline is most likely to collapse. This piece looks at the specific habits — pre-mortems, written thesis statements, explicit assumption lists — that help investors maintain the quality of their process when the pressure to act quickly is at its highest.
Read the article →