Trading Analysis

How to Find Your Best Trading Setups

LedgerPips Team August 12, 2026 6 min read

Your best trading setup is found by tagging every trade with the setup that produced it, then comparing expectancy across each tag separately — not by looking at your overall account performance. A single blended statistic can hide a genuinely strong setup being quietly dragged down by two or three weaker ones.

Why Aggregate Stats Hide Your Best Setups

If you trade three different setups and blend all the results together, a strong expectancy from your best setup gets averaged down by weaker performance from the other two. The account looks moderately profitable overall, while the actual picture — one clear edge and two setups worth dropping — stays invisible until the data is split apart.

How to Segment by Setup

Tag every trade with a specific, consistent label for the setup that triggered it — "breakout retest," "trend pullback," "range reversal," whatever your actual strategies are. The label needs to be specific enough to be meaningful and consistent enough to compare across dozens of trades, not a vague catch-all.

What to Compare Once Segmented

For each setup tag, calculate win rate, expectancy, and average R-multiple separately. A setup with a lower win rate but a clearly higher expectancy than the others is likely your real edge — not necessarily the one that "feels" most reliable to trade.

A Worked Example

Say your blended expectancy across all trades is +$15 per trade. Segmented by setup, "trend pullback" trades average +$60 per trade while "range reversal" trades average -$25 per trade. The blended number was quietly masking a setup that's actively losing money and one that's carrying the entire account.

What to Do With the Result

Once one setup is clearly outperforming, the decision is usually straightforward: allocate more attention and size to it, and seriously question whether the underperforming setups deserve to keep being traded at all — not necessarily eliminate them immediately, but treat them as a hypothesis that needs re-testing, not an assumed part of your strategy.

This same segmentation approach also applies to currency pairs and trading sessions — the setup isn't the only variable worth isolating.

See Every Setup's Real Performance, Automatically

LedgerPips segments your synced trade history by setup, pair, and session automatically, so you can see which one is actually carrying your results without manually splitting a spreadsheet.

Performance segmented by setup automatically
Expectancy and R-multiple per setup
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Conclusion

Your best setup is usually hiding inside a blended average, not visible from it. Tag every trade by setup, compare expectancy separately for each, and let the segmented data — not the overall number — decide where your focus goes.

Frequently Asked Questions

How do I find my best trading setup?

Tag every trade with the specific setup that produced it, then calculate win rate and expectancy separately for each tag. The setup with the strongest expectancy, not necessarily the highest win rate, is usually your real edge.

Why does my overall win rate not show my best setup?

Blended statistics average all your setups together, so a strong setup can be dragged down by weaker ones in the same number — the strength only becomes visible once the data is segmented.

How many trades do I need per setup to trust the comparison?

As with any expectancy calculation, roughly 30-50 trades per setup under consistent conditions gives a more reliable read than a handful of trades, which can be dominated by variance.

Should I stop trading my worst-performing setup immediately?

Not necessarily immediately, but treat consistently underperforming setups as a hypothesis worth re-testing rather than an assumed part of your strategy, especially once segmented data shows a clear gap.

How can I segment my trades by setup automatically?

An automated trading journal that syncs with your MT4/MT5 account — like LedgerPips — segments performance by setup, pair, and session automatically from your trade history.

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