Day trading analytics starts with careful records.

Use the session as part of the definition

An intraday hypothesis needs a defined instrument, venue, session, timezone, and observation window. “Morning” is not a sufficient timestamp rule. Distinguish the signal time, order submission time, and fill time rather than assigning every event the same clock value.

Small timing differences can change what information was available when a decision was made. Preserve the original record instead of reconstructing it from the day’s final chart.

Separate the signal from execution

A price touching a level does not establish that a particular order could have filled at that price. Available liquidity, order conditions, spread, delays, and transaction costs belong in the evaluation. A chart and an execution log answer different questions.

Our trading analytics guide organizes outcomes alongside costs and exposure. Its companion article explains why a high win rate can still coexist with a negative average result.

Keep the sample honest

Record missed opportunities, canceled orders, and sessions with no trades when they are part of the stated process. Analyze only completed observations under a consistent convention. A collection of memorable screenshots is not the same as a complete sample.

Group results only when there is a documented reason to do so. Looking through many time windows and reporting only the attractive one changes the interpretation of the apparent pattern.

Document, review, and test forward

Use the trading journal starter to separate the planned setup from execution and outcome. Finish a review with a specific prospective question, a fixed observation rule, and a record of revisions.

Frequent intraday trading can involve substantial costs and risk. This site does not provide signals, assess trading suitability, or describe current broker-specific eligibility rules. Read the journal review guide and risk information for the scope of this material.