Trading Edge Report: Turn Your Trade Data Into One Weekly Action Item
Use a trading edge report to review setup tags, weigh sample size against performance metrics, and choose one practical focus for the coming week.
A weekly review can produce plenty of numbers without producing a clear decision. The practical problem is deciding which setup deserves attention next—and which setup needs to be addressed or removed from your trading focus.
A trading edge report gives you a structured way to make that decision. It groups trades by setup tag and surfaces the metrics needed to turn a review into one process action.
What a trading edge report helps you decide each week
The weekly question is simple: which setup should you focus on, and which setup should you stop trading or address? A trading edge report helps organize that question around the setups attached to your trades.
Edge reports group trades by setup tag and surface win rate, profit factor, average R, and trade count. That combination matters because a percentage or average viewed alone may not tell you enough about the setup. You need to consider the performance metrics alongside the number of trades included in the review.
For related context, see how a trading edge report turns setup data into one weekly action item. The objective is not to create a long list of observations. It is to make one defensible review decision based on the selected period and the setup data shown.
Start with a consistent review window
Open edge reports from the Analytics section and apply a date-range filter for the period you are reviewing. Choose the date range before interpreting any setup metrics. Otherwise, it is easy to compare conclusions drawn from different periods without noticing that the underlying sample changed.
A consistent review window does not mean one date range is correct for every trader or every review. It means you use a repeatable scope so the report answers the same question from week to week: what did the tagged setups show during the period being reviewed?
TradeTally’s features page is the relevant product-navigation reference for the Analytics section. Once the date range is selected, review each setup’s trade count together with its win rate, profit factor, and average R.
Use sample size before calling a setup an edge
Do not label a setup a confirmed edge because one metric looks favorable. Start by checking trade count, then consider the other setup metrics shown in the report. The trade count gives context for how much data supports the performance figures.
The supplied rule is straightforward: a setup with enough sample size and strong metrics is a confirmed edge. Both conditions matter. Strong metrics without enough sample size should not receive the same confirmed-edge label, and a large trade count does not automatically make weak metrics strong.
This gives your review a useful two-part test:
- Sample size: Is there enough trade data for the setup to be meaningfully reviewed?
- Metrics: Are the win rate, profit factor, and average R strong enough to support continued focus?
If the answer is yes to both, mark the setup for continued focus. If the sample is not sufficient, keep the conclusion limited: the report does not yet support calling it a confirmed edge. That is a more precise action than treating every positive-looking result as a reliable conclusion.
Use the trading edge report to choose one weekly action
Once you have reviewed the setup tags, trade counts, and metrics, reduce the outcome to one action. A setup with enough sample size and strong metrics can produce the action: focus on this setup for the coming review period.
A setup with a low profit factor or high loss rate produces a different type of action: address the process issue or stop trading this setup. The report makes it easier to identify which setups to focus on and which to stop trading. It does not require you to turn every observation into a separate change.
For example, suppose the following numbers are hypothetical and cover the same selected date range:
| Setup tag | Trade count | Win rate | Profit factor | Average R | Weekly decision |
|---|---|---|---|---|---|
| Breakout pullback | 42 | 57% | 1.48 | 0.32R | Focus |
| Late reversal | 31 | 39% | 0.82 | -0.11R | Address or stop |
| Opening range fade | 6 | 67% | 1.60 | 0.28R | Do not confirm yet |
In this hypothetical example, the breakout pullback has enough sample size and strong metrics, so it is a candidate for the week’s focus. The late reversal has a low profit factor, which signals a process issue to address or a reason to stop trading it. The opening range fade has favorable-looking numbers, but its trade count is too small to call it a confirmed edge under the stated rule.
For more on organizing reviews around setup tags, read why trading setup tags matter more than tracking more indicators. The key is to leave the review with one priority, not a collection of unrelated adjustments.
Write the action item so it can guide the next review
Write the selected setup and the reason for the decision in a compact format. Include the selected date range, trade count, win rate, profit factor, and average R. This keeps the action tied to the report’s visible metrics rather than to a vague impression of how the week felt.
A useful structure is: “For [date range], focus on [setup] because it had [trade count] trades, [win rate] win rate, [profit factor] profit factor, and [average R] average R.” For a weak setup, change the action to: “Address or stop [setup] because its profit factor was low or its loss rate was high.”
Frame this as a review decision, not a market prediction or financial recommendation. At the next weekly review, return to the report and check whether the same setup still warrants focus or whether the data signals a process issue.
If you want related reading on keeping trade records ready for review, see why an end-of-day trading journal should be ready right after the close. The important point here is the decision standard: use the selected date range and the report’s metrics to explain one action.
FAQ: Trading edge report questions
What does a trading edge report show?
It groups trades by setup tag and surfaces win rate, profit factor, average R, and trade count. These measures let you review setup performance alongside the amount of trade data included in the selected period.
How do I know whether a setup is a confirmed edge?
The supplied criteria are enough sample size plus strong metrics. Review trade count together with win rate, profit factor, and average R. If the sample is not sufficient, do not label the setup a confirmed edge based only on favorable-looking numbers.
What does a low profit factor or high loss rate mean?
It signals a process issue to address. The report can also help identify setups to stop trading, so the weekly action may be to investigate the process issue or stop focusing on that setup.
Where can I find and filter edge reports?
Edge reports are available from the Analytics section and can be filtered by date range. Select the review window first, then interpret the setup tags, trade count, win rate, profit factor, and average R within that scope.
Use TradeTally to make your next weekly review about one clear, data-based trading action.