Not just win rate. Real analytics.
A full performance suite that goes beyond the basics to reveal your actual edge — and where you're losing it.
What you'll see.
Expectancy
+0.42R
Per trade, trailing 90 days
Profit Factor
1.86
Gross profit / gross loss
Max Drawdown
−8.2%
Peak to trough
Win Rate
44%
Out of 312 trades
Example data only. Your actual dashboard reflects your real trade history.
Every metric that matters.
Expectancy & Profit Factor
Expectancy in R-multiples tells you your average expected return per unit of risk. Profit factor tells you gross wins vs gross losses. Both together define your actual edge.
Drawdown Curves
Visualize peak-to-trough declines in both absolute and percentage terms. Identify your longest drawdown period and how long recoveries take.
R-Multiple Distribution
Plot the distribution of all trade outcomes expressed in R. A positively skewed distribution with fat right tail is the hallmark of a genuine edge.
Session & Time Analysis
Break down performance by day of week, hour of day, and trading session (London, NY, Asian). Discover when you trade best and worst.
Behavioral Detection
Automatically flag overtrading patterns, revenge trading sequences, and post-large-loss degradation. See your psychology in the data.
Instrument Breakdown
Compare performance across instruments, pairs, or markets. Identify your most and least profitable setups and where to focus.
Why expectancy matters more than win rate.
A 60% win rate sounds good until you learn the average loss is 3× the average win. Expectancy combines frequency and magnitude: it tells you the average R-multiple you expect per trade if you took hundreds of trades from your distribution.
A +0.3R expectancy means you expect to make 0.3× your risk per trade on average. With a $100 risk per trade, that's $30 expected profit per trade — regardless of whether you win 40% or 60% of the time.
Trade Noted calculates expectancy across your full history and across any filtered subset: by instrument, session, setup tag, or date range.