Weekly Trading Journal Review

Paper-first boundary

Trading Boy does not execute live trades, hold funds, or provide financial advice. This page is for simulated paper-trading review, prompt design, journal structure, and human review. It is not a signal feed, broker instruction, or promise of live trading results.

When to use this page

Use it after several paper sessions when there is enough evidence to decide whether to collect, tighten, pause, or revert.

The search intent behind weekly trading journal review for paper trades is usually practical: the user wants a reusable asset, an example, and a checklist. This page treats those variants as one owner page rather than splitting guide, example, checklist, and template into thin sibling pages.

Use the asset only after the paper-trading workflow, prompt version, permission boundary, and journal output format are clear. If the user cannot identify the setup, invalidation, risk field, or review question, the next action should be a skip, caveat, or human review rather than a confident simulated entry.

Weekly review workflow

Review field	Pass condition	Paper-mode boundary
Sample count	Counts entries, exits, skips, missed setups, and excluded rows.	A small sample is labeled as small.
Pattern review	Groups repeated rule failures, behavior tags, and risk exceptions.	One-off events do not dominate.
Version check	Confirms prompt, setup, and risk rules stayed comparable.	Mixed versions are caveated.
Metric context	Reviews paper PnL with drawdown and sample quality.	Outcome is interpreted with evidence.
Next decision	Choose collect more, tighten one rule, pause, or revert.	The weekly action is conservative.

Reusable prompt or worksheet text

Role: You are helping organize a simulated paper-trading review. You may summarize context, apply written rules, identify missing fields, and prepare journal evidence. You may not route live trades, request secrets, or provide financial advice.

Required output: Decision type, setup name, rule version, thesis, invalidation, paper risk, data caveat, behavior tag, and one human review question.

Skip rule: If setup, invalidation, paper risk, or data quality is missing, produce a skip or excluded row. Do not invent the missing field to make the record look complete.

Review handoff: Send the output to the paper journal, evaluation checklist, or human review checklist. Choose one next paper-mode action: collect more samples, tighten one field, pause, or revert a prompt change.

Example paper workflow

Scenario: A weekly review finds a profitable paper sample but repeated late exits and one risk override. The reviewer keeps the setup in paper mode, tightens exit evidence, and collects another week before changing anything else.

Good output: The review explains what the sample can and cannot prove.

Weak output: The review declares the agent ready because the week was profitable.

Decision: The reviewer keeps the evidence in paper mode, checks the output with the AI paper trading agent evaluation checklist, and records any prompt change in AI trading agent prompt versioning.

Use it with these controls

Prompt version: every sample should name the version that produced the output.
Output format: the agent should use consistent fields for entries, exits, skips, and missed setups.
Risk gate: size, exposure, drawdown, stop distance, and pause rules should be checked before judging the idea.
Human review: a person should approve prompt, risk, or workflow changes before the next sample.
Data privacy: private exchange credentials, account identifiers, and secret values should stay out of prompts and screenshots.

How it supports ranking

This owner page consolidates the guide, example, template, checklist, and for-paper-trading variants into one durable page. That gives searchers a complete answer without flooding the sitemap with near duplicates.

It also links into the surrounding Trading Boy system: paper-trading hub, AI paper agent, prompt template, output format, risk controls, permission boundaries, and paper-trading limitations.

Related AI paper-agent pages

Use these links to move between setup, output, risk, journal, and review pages without leaving the paper-first cluster.

Weekly Trading Journal Review FAQ

What should a weekly trading journal review include?

It should include sample count, rule fit patterns, behavior tags, risk exceptions, version notes, and one next action.

How is weekly review different from daily review?

Daily review preserves immediate context. Weekly review looks for repeated patterns across a sample.

Can weekly paper results justify live trading?

No. Weekly paper review can improve process, but it does not prove live readiness or future returns.