Structured analysis,
not raw data.
Every LOGOS research output is a structured document — designed to be read, reviewed, compared, and archived. Below is the research framework that governs every analysis.
Six document types.
One complete research record.
Structural Thesis
A clear, evidence-supported statement of market structure and directional bias. Defines the analytical framework and key assumptions underlying the research.
Core OutputScenario Map
Multiple plausible future paths, weighted by current conditions. Replaces single-point prediction with a range of possibilities and their conditional probabilities.
Range AnalysisInvalidation Logic
Explicit criteria that would falsify the thesis — pre-committed before any decision is made. Prevents retrospective reinterpretation of outcomes.
Risk ControlRisk/Reward Framing
Quantified downside and upside scenarios with clear thresholds for action. Defines position parameters, exit conditions, and expected value ranges.
Position SizingOutcome Review
Post-decision analysis comparing actual market behaviour to the original thesis. Identifies reasoning strengths, gaps, and lessons for future cycles.
Learning LoopResearch Archive
A searchable, time-stamped, immutable record of every thesis, decision, scenario map, and outcome review. The foundation of systematic improvement.
AuditabilityEvery analysis preserved.
Every outcome reviewed.
The research archive is not an afterthought — it is the backbone of the LOGOS system. Every thesis, decision, scenario map, and outcome review is stored in a structured, searchable format. The archive makes it possible to:
- Review past theses against actual outcomes
- Identify patterns in reasoning across multiple analyses
- Track the evolution of market understanding over time
- Audit the complete decision chain for any given period
- Distinguish between skill and luck in research performance