Trader Performance Analysis: Beyond Win Rate
Educational decision-support platform. Not investment advice, not a signal or recommendation service. Not registered as a dealer, adviser, or broker.

Performance Analysis

Trader performance analysis — behavioural KPIs, not just P&L.

Traditional performance analysis stops at win rate, expectancy, and Sharpe. Behavioural performance analysis adds a second dimension: decision quality, discipline drift, and emotional pattern. This page maps the KPIs and where EI ALGOS's TIS plus Decision Score fit.

7-day free trial No credit card required Cancel anytime

Two dimensions

Statistical KPIs are only half the picture.

Statistical KPIs — win rate, expectancy, profit factor, Sharpe — describe what happened. Behavioural KPIs — decision quality, plan adherence, drift, emotion — describe why. A trader who only tracks the first dimension gets a lagging report every month with no lever to pull.

The behavioural KPI set

Four numbers that lead P&L.

1) Average Decision Score — how good the decisions are, per trade. 2) Plan adherence — % of trades inside the plan. 3) Emotion Score volatility — how much your state drifts week to week. 4) Trader Intelligence Score — the composite consistency read across months. Together they front-run the P&L report.

Related reading

Continue with the parts that matter to you.

FAQ

Common questions.

What is trader performance analysis?

The measurement of a trader's results across statistical KPIs (win rate, expectancy, Sharpe) and behavioural KPIs (decision quality, plan adherence, drift). Behavioural KPIs are leading; statistical KPIs are lagging.

Which KPIs actually matter?

It depends on the strategy and the timescale. For most retail traders, plan adherence and average Decision Score are the highest-signal KPIs because they front-run the P&L numbers.

How is this different from a trading journal?

A journal is the raw log. Performance analysis is what you read out of the log. EI ALGOS automates the read via Decision Score and TIS.