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How to use AI Trade Coach

Use this before your next session to turn journal evidence into one prioritized improvement rule. It takes only a few minutes when your records are complete.

What this tool is for

Most trading feedback is generic, detached from the trader’s actual decisions, or focused only on profit and loss. AI Trade Coach solves that operating problem by helping you turn journal evidence into one prioritized improvement rule. It is a decision-support and review workflow—not a prediction engine.

Before you start

Open the records you intend to evaluate and make sure they use the same account, time window and definitions. AI Trade Coach works from saved journal entries, setup labels, plan adherence, emotions, risk records, session context and the questions you ask. Missing or inconsistent data can make a polished result less useful, so correct the record before drawing a conclusion.

Six steps to use AI Trade Coach

  1. Choose the decision you are trying to improve. Write one narrow question. Do not ask the tool to explain your entire trading career in one pass.
  2. Select the right evidence. Load the relevant account, journal range, plan or saved snapshot. Confirm that practice and outside-account records are labeled correctly.
  3. Complete every required field honestly. Use values from the official account source when balances or rules are involved. Do not change a limit merely to create a preferred result.
  4. Run the tool and read the full result. The main outputs are evidence-linked observations, recurring-pattern summaries, follow-up questions and one measurable behavior to practice next. Open warnings and supporting evidence before focusing on the headline score.
  5. Save a dated snapshot. A saved result lets you compare what the tool showed before the next decision with what actually happened later.
  6. Choose one next action. Convert the result into a measurable rule for the next session, then use the connected journal and coach to review adherence.

How to interpret the result

A score, warning or AI observation is the beginning of review, not the conclusion. Check the sample size, date range, data source and assumptions. Strong use means you can point to the records behind the result and describe the next behavior in one sentence.

Worked example: A trader feels that stop placement is the main problem. The coach reviews the selected history and finds that the larger leak is adding risk after a scratch trade. It cites the matching entries and proposes a five-session rule: no new position for ten minutes after a scratch.

Mistakes to avoid

The most common mistakes are asking for a prediction, feeding it incomplete entries, treating one trade as a trend, or accepting a suggestion without opening the supporting records. If the result conflicts with an official broker or prop-firm record, stop and verify the source before acting.

Use it as part of the system

AI Trade Coach is most valuable when it connects with Journal Intelligence, Performance Lab, Behavior Recovery and every saved analysis that can be sent to the coach. Save the output, link it to the relevant trade or account, and review whether the recommended action changed your behavior.

GO DEEPER

Understand the complete workflow

Read the in-depth article for examples, interpretation rules, search-friendly definitions and a more complete implementation process.