What this tool is for
Win rate and net P&L alone can hide unstable sizing, poor expectancy, outlier dependence, drawdown and large differences between setups or sessions. Performance Lab solves that operating problem by helping you separate repeatable process from noisy short-term outcomes. 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. Performance Lab works from connected journal trades, R-multiples, fees, setup tags, sessions, rule adherence, trade grades and date ranges. Missing or inconsistent data can make a polished result less useful, so correct the record before drawing a conclusion.
Six steps to use Performance Lab
- 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.
- Select the right evidence. Load the relevant account, journal range, plan or saved snapshot. Confirm that practice and outside-account records are labeled correctly.
- 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.
- Run the tool and read the full result. The main outputs are expectancy, profit factor, drawdown, payoff ratio, consistency measures, segmented comparisons and review-ready snapshots. Open warnings and supporting evidence before focusing on the headline score.
- Save a dated snapshot. A saved result lets you compare what the tool showed before the next decision with what actually happened later.
- 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.
Mistakes to avoid
The most common mistakes are optimizing around a tiny sample, ignoring costs, combining unrelated strategies, changing tags after seeing results, or treating correlation as proof of cause. 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
Performance Lab is most valuable when it connects with Journal Intelligence, Strategy Intelligence, Execution Intelligence and the AI Trade Coach. Save the output, link it to the relevant trade or account, and review whether the recommended action changed your behavior.
Understand the complete workflow
Read the in-depth article for examples, interpretation rules, search-friendly definitions and a more complete implementation process.