Observe. Reason. Decide.
Record. Improve.
A disciplined, repeatable research loop. Not a black box. Every stage is transparent, supervised, and designed to improve with every cycle.
Five stages. One loop.
No shortcuts.
The LOGOS method is built on a simple premise: good research is structured, recorded, and reviewable. Each stage produces specific outputs that feed into the next — and every output is preserved for later examination.
Observe
Gather structural market data. Identify the current conditions, context, and constraints that define the analytical landscape. This is not about finding patterns — it is about understanding where the market is and what forces are acting on it.
Key questions: What is the dominant market structure? What timeframes are relevant? What contextual factors — macro, technical, sentiment — are in play? What is the data actually saying, independent of any thesis?
Reason
Form an evidence-led thesis. State clearly what you believe is happening, why, and — critically — what would prove you wrong. A thesis without explicit invalidation conditions is not research; it is speculation.
Key outputs: A written structural thesis. A scenario map with weighted paths. Explicit invalidation logic — the specific conditions that would falsify the thesis. This pre-commitment prevents retrospective reasoning.
Decide
Make a recorded, supervised decision. Frame the risk and reward explicitly. Define entry conditions, position parameters, and exit criteria — including what happens if the thesis is invalidated before the expected outcome materialises.
Key outputs: A decision record with risk/reward framing. Pre-defined position parameters. Explicit exit conditions for both thesis confirmation and invalidation. Human review and approval.
Record
Log the thesis, decision, context, and rationale in the research archive. This is not optional. The archive is the foundation of systematic improvement — without it, there is no way to learn from experience.
Key outputs: A time-stamped, immutable research record. The complete chain from observation through decision. All supporting context preserved. The record is searchable and reviewable at any time.
Improve
Review outcomes against the original thesis. Compare what happened to what was expected. Identify where the reasoning was sound and where it missed. Update the analytical framework — systematically, not anecdotally.
Key outputs: An outcome review document comparing actual results to the thesis. Pattern analysis across multiple reviews. Updates to the reasoning model based on accumulated evidence. The loop begins again — informed by everything that came before.
Most market analysis cannot be reviewed.
Without structured records, there is no way to distinguish good reasoning from good luck. Without explicit theses, outcomes are reinterpreted after the fact. Without invalidation logic, confirmation bias is unchecked. The LOGOS method is designed to solve these problems — not with more data, but with more discipline.
The goal is not to be right every time. The goal is to build a system where every outcome — favourable or not — contributes to a growing body of structured, reviewable research.