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Trading Metrics That Matter: 12 to Track and 5 to Skip

One trade list, every headline metric computed, and an opinionated short list of what to track and what to ignore.

3 Nov 2026 · 6 min read

Track a small set of numbers that each answer a different question, and always show how many trades sit behind them. This page lists twelve worth tracking and five worth ignoring, and works one made-up list of 30 trades through the headline ones so you can see them side by side. The selection is our opinion; the numbers are arithmetic, not advice.

One list, every metric

Made-up results in R, in order: −1.0, +2.0, −1.0, −1.0, +1.5, −1.0, +3.0, −1.0, −1.0, −1.0, +1.1, +2.0, −1.0, −1.0, −1.0, +1.0, +2.5, −1.0, −1.0, +1.8, −1.0, −1.0, −1.0, +4.0, −1.0, +2.2, −1.0, −1.0, +1.6, −1.0. These are not any trader's trades.

MetricOn this listQuestion it answers
Expectancy+0.12R per tradeWhat does the average trade make?
R-multiple of each trade−1.0R to +4.0RHow big was each result against what was risked?
Win rate, with the sample37% of 30How often does it win?
Average win and average loss+2.06R and −1.00RHow big are wins against losses?
Break-even win rate32.6%What win rate does that ratio need?
Profit factor1.19Did the winners outweigh the losers in total?
Maximum drawdown3.2RHow deep did the worst stretch get?
Recovery needed after a drawdownby formula: L ÷ (1 − L)What gain gets the balance back?
Longest losing run3 tradesWhat did the worst run feel like?
Sample size beside every figure30 tradesHow much does any of this rest on?

Read together they say something no single one does. The list is a 37% win rate that still averages +0.12R, because the average win is 2.1 times the average loss. Its worst stretch cost 3.2R, and its longest losing run was 3 trades. With 30 trades, treat every figure as a first look.

Twelve to track

  1. Expectancy in R. The average trade, the one number the others feed. Expectancy.
  2. R-multiple per trade. Needs the risk written before the trade. R-multiples.
  3. Win rate. Only beside its reward-to-risk. Win rate against risk-reward.
  4. Average win and average loss. The two inputs that make a win rate mean something.
  5. Break-even win rate. Your own line, from your own ratio, with costs in.
  6. Profit factor. A useful summary when read with the trade count. Profit factor.
  7. Maximum drawdown. In R or per cent, not only in money. Maximum drawdown.
  8. Drawdown duration. How many trades or days from peak to recovery. Depth without time is half the story.
  9. Longest losing run. The figure that tells you whether you could have kept going. How long runs get.
  10. Average cost per trade in R. Spread, commission and swap, as a share of the risk.
  11. Slippage against plan. The gap between the price you wanted and the price you got; for copied trades, why follower fills differ explains where it comes from.
  12. Rule adherence. The share of trades that followed your own rules. A grade on each trade, kept in a journal, gives you this; see what to write in a trading journal.

Five to skip, or to demote

  • Win rate on its own. It cannot be read without the size of wins and losses: the list above wins 37% of the time and still averages +0.12R, while the grid shows a 70% win rate at 0.5:1 earning only +0.05R a trade.
  • Profit factor without a trade count. Four trades can print a number most strategies never reach.
  • Annualised figures from a few months. Multiplying a short stretch up to a year says more about the arithmetic than about the method.
  • The biggest winner as a headline. It is the least repeatable number you own. Compute everything with and without it, as in the profit factor example.
  • Risk-adjusted ratios on a few dozen trades. Sharpe-style ratios assume far more data than a trading account usually has by the time someone wants to quote one.

Where to start

If you track nothing today, start with the result and the risk of every trade; every metric on this page falls out of those two columns plus the date. How to keep a trading journal covers the routine, and the sample-size simulation shows how long to wait before believing a figure.

We're working on a free journal and a backtester, with no date yet. Today Trepeat is a trade copier for MT4, MT5 and cTrader, currently on demo accounts, and you can add notes, a grade and screenshots to any copied trade once it closes, with a calendar of your results.

The journal exports to Excel (.xlsx) and does not calculate any metric on this page today, so they run in a spreadsheet on that export; the journal documentation says what it holds. The lot size calculator sets the size that fixes 1R, and the glossary defines the terms.

Written by the Trepeat team.

Trading Metrics That Matter — common questions

Which trading metrics matter most?

Expectancy in R, the average win and loss, maximum drawdown and the longest losing run cover most questions, each shown beside the number of trades behind it. Win rate and profit factor help when read alongside those.

How many metrics should I track?

A dozen is plenty, and all of them come from two columns recorded on every trade: the result and the amount risked. Anything that cannot be computed from those plus the date and costs is a candidate to skip.

Does Trepeat calculate these metrics?

Not today. You add notes, a grade and screenshots to a copied trade once it closes, with a calendar of your results, and the journal exports to Excel (.xlsx), where the figures run in a spreadsheet.

All questions — pricing, the trial, copying and safety — are in the Help Centre. Still stuck? Email support@trepeat.com.

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