Daily 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 at the end of each paper session to classify decisions while the context is still fresh.

The search intent behind daily 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.

Daily review workflow

Review field	Pass condition	Paper-mode boundary
Rows complete	Entries, exits, skips, missed setups, and exclusions are recorded.	Missing rows are filled only from known evidence.
Behavior tags	Tags are assigned without changing the original thesis.	Behavior review stays separate from judgment.
Risk exceptions	Exposure, drawdown, size, and frequency problems are listed.	Risk issues cannot wait for weekly review.
Data caveats	Stale data, missing fields, and unclear setups are marked.	Caveated rows are not treated as clean samples.
Next action	One small action is chosen for the next session.	No broad rule rewrite happens from one day.

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: At the end of a paper session, the trader reviews six rows. Two skips were correct, one entry lacked invalidation, and one missed setup shows hesitation. The next action is to tighten the pre-entry invalidation field.

Good output: The daily review produces one clear improvement or a decision to keep collecting samples.

Weak output: The daily review celebrates the best paper result and ignores skipped or caveated rows.

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.

Daily Trading Journal Review FAQ

What is a daily trading journal review?

It is a short review of the day paper decisions, tags, risk issues, and next process action.

Should every day create a rule change?

No. Most daily reviews should collect evidence, not rewrite the system.

Is daily review live trading advice?

No. It is a paper-trading review workflow.