Article

The Three Proof Fields: Rule Validity, Execution Adherence, Review Classification

Use three proof fields to determine whether a trading strategy, the rule language, or the trader's behavior needs improvement.

Author: Little Bird Trading

Created JUNE 4, 2026 | Last updated JUNE 4, 2026

Topic: three proof fields trading strategy execution adherence
Audience: process-focused traders, technical traders, self-coached traders

Trading Execution Quality process-focused traders technical traders self-coached traders three proof fields trading strategy…

Most traders track too much and prove too little. Three fields can make strategy ownership easier to diagnose: rule validity, execution adherence, and review classification.

Why Three Fields Are Enough to Start

A large journal can create the feeling of discipline without proving the core issue. For Day 3, the question is narrow: can the trader operate the borrowed strategy?

Rule validity, execution adherence, and review classification give that question enough structure. They show whether the setup qualified, whether behavior matched the rule, and what the review should fix.

The Three Fields

Rule validity protects the trader from taking almost-valid trades. Execution adherence protects the trader from confusing understanding with behavior. Review classification protects the trader from changing the wrong part of the system.

Together, they turn strategy ownership into evidence instead of opinion.

Three proof fields create the minimum evidence layer for strategy ownership.
Proof Field	Question	Protects Against
Rule validity	Did the setup qualify?	Trading similar-looking noise
Execution adherence	Did behavior match the plan?	Blaming strategy for rule breaks
Review classification	What type of result was this?	Changing the wrong control

MyLinedChart Workflow Bridge

MyLinedChart can preserve the chart context behind each proof field. A drawing or note can show why the setup qualified, while exported records can help compare adherence and classification across examples.

This supports a cleaner review loop for traders using spreadsheets, Claude Code, ChatGPT Codex, or manual weekly reviews.

Starter Exercise

For the next ten occurrences of one strategy, record only these three fields. Do not add complexity until the basic proof layer is consistent.

At the end of the sample, count the most repeated failure. If rule validity fails, tighten setup criteria. If adherence fails, add behavior controls. If classification fails, improve review language.

Closing

The three proof fields keep Day 3 practical. A borrowed strategy becomes clearer when the trader can prove whether the idea, the execution, or the review process is the weak link.

FAQ

Why not track more fields?

You can later, but the first goal is proving strategy ownership. Too many fields can hide the basic rule-validity and behavior questions.

What if all three fields fail?

The strategy is not ready for live ownership. Reduce size or return to replay until rule language and behavior are clearer.

Can these fields work with any strategy?

Yes. They are strategy-agnostic because every tradable method needs qualification, execution, and review classification.

Sample Structured Chart Intelligence Exports

Review how chart drawings, annotations, OHLC, volume, and execution context become reusable structured data.

Download XLSX Sample
Spreadsheet-ready chart intelligence for review, journaling, and process refinement.
Download JSON Sample
Machine-readable chart context for Claude Code, ChatGPT Codex, automation-ready workflows, and technical review.

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