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Logging the price one minute and five minutes after entry

Final results tell you how a trade ended. They don't tell you much about the quality of the entry. A trade can end in profit after going against you for a long time, or end in a loss after initially going your way.

To get a better read on entries, I log the price one minute after entry and five minutes after. Specifically, the distance in pips from the entry price, positive if in my favour, negative if against.

A good entry, for a scalp, should usually show movement in the right direction fairly quickly. If many of your trades are negative at the one minute mark, the entries might be early. You're getting in before the move starts, and the trade needs time to work, which exposes it to more risk.

Five minutes gives a slightly broader view. Trades that are negative at one minute but positive at five may be fine entries that just needed a moment. Trades negative at both points deserve a closer look.

This is easy to automate with an EA or script that records the price at set intervals after each entry. Manually, you can check the M1 chart after the trade and note the close of the relevant candles.

Averages across many trades are what matter here. Individual trades will vary a lot.

Logging the price after one and five minutes is a clean way to judge entries. One idea is to compare those values for trades taken at different times of day. Entries in a busy session tend to show the direction quickly, while entries in a quiet session may take longer to move. If a strategy shows weak one minute results only in quiet hours, the entries may be fine but the timing needs a longer test. Grouping by session keeps the numbers from being mixed up.

Comparing these numbers by setup type can be revealing. Some setups naturally need more time, like a pullback entry that waits for the trend to resume. Others should work almost immediately, like a breakout. If a breakout setup is often negative after one minute, the entry timing for that setup probably needs adjusting. Recording the setup name alongside these checkpoints in the journal makes the comparison easy, and a simple pivot table does the rest. Some setups may show quite different patterns from others, which helps decide where to focus improvement efforts.

Adding a fifteen minute mark gives a fuller picture for longer scalps. You can see how the trade developed over time, not only at the end. Some traders plot these points to see a typical path for each setup. That shows whether trades usually move steadily, spike and fade, or dip before moving in the planned direction. A small chart for each setup showing the average distance at one, five and fifteen minutes is easy to make in a spreadsheet and gives a clear visual of how trades typically develop.

These checkpoints also help with the stop placement question. If most trades never go more than a few pips against you in the first five minutes, and those that do usually end as losses, a tighter initial stop might be justified. Using the checkpoint data to support decisions like that is more reliable than going on feel. Use enough trades before acting on it, and recheck after any change to see whether the new stop produces the expected results. Twenty trades is too few. A hundred is a better minimum before you change something as important as the stop distance.

For manual traders, writing these down can be done after the session from the chart, since the M1 candle closes show the prices. It doesn't need to be done during the trade. That keeps the journaling from interfering with management while still giving the data you need for review. Doing it after the session also makes the review more objective, since the trade is closed and the emotions have mostly settled. You're just reading prices off a chart. The checkpoint values can be written in a separate tab so they don't clutter the main journal sheet, and linked by ticket number to the main entry.