Trading analytics. Context before conclusions.

Choose the question before the metric

A trading review should begin with a question another person could answer from the same record. Did execution costs change? Did a setup behave differently across sessions? Did a result depend on a small number of unusually large trades? Each question calls for a different comparison. A single score cannot stand in for all of them.

Keep the unit of observation consistent. An order, a fill, a completed position, and a trading day are not interchangeable. Define how partial fills and scale-ins become a completed trade before calculating averages or a win rate.

Connect outcomes with their denominators

Report a winning percentage alongside average gains, average losses, sample count, and the treatment of costs. A high win rate can coexist with a negative average outcome. Equal trade counts also need not imply equal exposure: one trade may tie up much more capital or remain open much longer than another.

Use the guide to analytics beyond win rate to work through a numerical example. Treat a historical average as a description of the sample, not a promise about the next observation.

Keep the path and the process visible

A total profit hides the order in which gains and losses occurred. Review the equity path, drawdowns, concentration, and the number of independent opportunities. Grouping results after seeing the outcomes creates an additional research choice that should be recorded.

Pair outcome analysis with a trading journal that separates the original plan from execution and hindsight. A well-followed plan can lose; an unplanned decision can profit. Those are different things to learn from.

Turn a review into a prospective test

End a review with a small, specific question and a procedure for evaluating it on later observations. Save the definition before looking at the new sample. Include adverse results and missed opportunities rather than preserving only memorable trades.

Start with the downloadable journal, explore day trading research, or follow the trading-system workflow to make the next test reproducible.