5 Trading Metrics to Review Together

No single metric explains a trading process. A useful review combines outcome, magnitude, path, and concentration—then checks whether the sample is large and representative enough to support a conclusion.

1. Win rate

Win rate is profitable closed trades divided by total closed trades. It answers how often a positive result occurred, not whether the process made money after costs.

Always inspect the sample count, average win, average loss, fees, and the rule used for breakeven trades. Two datasets can have the same win rate and very different outcomes.

2. Expectancy per trade

A common form is:

(win probability × average win) − (loss probability × average loss)

Expectancy combines frequency and magnitude, but it remains a historical estimate. It can change by setup, market regime, position sizing, and costs. Segment it before assuming an all-account average applies everywhere.

3. Profit factor

Profit factor is gross profit divided by gross loss. Values become unstable in small samples and need special handling when no losses exist. Review the underlying totals instead of treating the ratio as a standalone score.

4. Maximum drawdown

Maximum drawdown measures a peak-to-trough decline along an equity path. The result depends on starting equity, trade ordering, open versus closed P&L, cash flows, and account aggregation.

Use it to describe the observed path, not to predict the largest future loss. Verify that the calculation matches the account and time range you intend to study.

5. Concentration by setup, session, symbol, and account

An aggregate result can hide where gains or losses occurred. Break the data into groups and ask:

• Is one setup carrying the result?
• Are losses concentrated in a session or time window?
• Does one account behave differently from the others?
• Does the pattern remain after adding more trades?

Avoid declaring a segment “best” from a handful of observations. Show the trade count and supporting rows beside the result.

Turn a metric into an evidence-backed question

A strong analytics workflow does not stop at “win rate fell.” It asks which repeatable pattern changed, shows the method and evidence, records limitations, and turns a supported finding into a rule that can be checked against new trades.

TradeInsights uses that closed loop in its First Value workflow. New accounts can import up to 30 real trades, and the report becomes eligible after at least 20 qualifying imported, closed trades. If the data does not support a flagged finding, the product says so instead of inventing one.

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Trading metrics describe historical data. They are not trading signals, financial advice, or guarantees of future performance.