Public Data
Curated examples and research notes — shared to teach process.
Private datasets remain private. The framework is public.
What's Public
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Outcome Probabilities: How often certain defined outcomes occur after a defined event, per present conditions.
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Context Probabilities: How results change when the same event occurs in different contexts.
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Example Profitability Breakdowns: A small number of scenario examples showing win rate, R-Multiple, and expectancy.
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Definitions & Rulesets: The methodology behind the research — definitions, rules, and how results are measured.
What's Private
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The complete profitability catalogue across every condition.
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The full ongoing maintenance process at full resolution.
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The complete scenario library and all filters.
Interpretation Of What You See
This data isn’t a signal service and it isn’t a promise of returns. It’s evidence of a process. Use it to learn how to:
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Define outcomes clearly.
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Measure results consistently.
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Compare conditions without bias.
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Decide what’s worth trading based on expectancy, not opinions.
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Note: This data is best interpreted alongside the Quant-Inspired Strategy series, where definitions and logic are explained in order.
Public Data
PUBLIC DATA 01
Outcome Probabilities
PUBLIC DATA 02
Context Effects
PUBLIC DATA 03
Partially Invalidated Objectives
PUBLIC DATA 04
Profitability Example A
PUBLIC DATA 05
Profitability Example B
PUBLIC DATA 06
Methodology