How to Find Your Best Trading Time Using Journal Data

Useful time segments

• First 15 minutes
• Morning session
• Midday
• Final hour
• Day of week
• Expiry day versus non-expiry day
• Instrument and strategy
• Long versus short

Example dataset

This is fictional data. Do not call a window your best or worst from five trades. Include trade count, net costs, setup mix and drawdown with every comparison.

A simple analysis method

Add a consistent time-window tag, then compare net P&L, expectancy, average loss, rule adherence and sample size. Repeat the cut by strategy and instrument before changing a schedule. The aim is to find a testable process boundary, not a market-wide rule.

Time zones, daylight-saving assumptions in external data, expiry mix and changing volatility can distort comparisons. Keep the date range visible.

Define time windows before analysing

Choose fixed windows that do not move to fit the result. For example, define the first 15 minutes from the market open, a morning block, a midday block and the final hour using one timezone. Record the actual session date and instrument so expiry-day and weekday comparisons are possible.

Do not compare a morning equity sample with a final-hour options sample and call it a time effect. First control for instrument, strategy, direction, expiry and position size. If the app has only date-level timestamps for a source, do not imply it can support intraday timing analysis for that source.

Analyse the sample in sequence

• Start with trade count and missing timestamps.
• Compare net P&L, average loss and expectancy.
• Review rule adherence and mistake tags.
• Split by instrument and strategy.
• Check expiry day and weekday separately.
• Open the underlying trades before changing your schedule.

Interpret the example carefully

If the first 15-minute window shows a loss across eight trades, the useful conclusion is ‘investigate entry quality, spread and sizing in this sample’, not ‘never trade the open’. If the morning group is positive across twenty trades, the next step is to collect more comparable trades and check whether strategy mix explains the difference.

Time-of-day analysis describes your recorded process under a particular market regime. It is not a universal rule or a prediction.