# How to Compare Two Trading Strategies Objectively

> Comparing strategies subjectively leads to confirmation bias. Here is the data-driven approach to evaluating which of two strategies is actually performing better.

**Tags:** strategy-comparison, analysis, objectivity, journaling
**URL:** https://traderjournal.app/trading-strategies/how-to-compare-two-trading-strategies-objectively

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# How to Compare Two Trading Strategies Objectively

At some point, most traders face the question: should I stick with my current strategy or switch to a new one? The emotional version of this decision is driven by recency - whichever approach worked recently feels correct. The data-driven version uses your journal.

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## The Requirements for a Valid Comparison

For a strategy comparison to be meaningful, each strategy needs:

**Sufficient sample size:** Minimum 80-100 trades per strategy. Comparing 15 trades from Strategy A to 80 trades from Strategy B produces a misleading picture because the smaller sample has much higher variance.

**Similar market conditions:** Strategies tested over different time periods may be compared unfairly because of different market conditions. A trend-following strategy that underperformed during a choppy Q1 but is being compared to a range-trading strategy during a ranging Q2 is being tested in conditions that favor the second strategy.

**Consistent application of rules:** Each strategy must have been applied according to a fixed ruleset throughout the testing period. A strategy that evolved significantly during testing cannot be cleanly compared to another.

**Complete data:** Both strategies must have every qualifying trade in the record, not just the interesting ones.

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## The Comparison Metrics

Compare strategies on these dimensions:

**Profit factor:** The most direct comparison metric. The strategy with the higher net profit factor (after all costs) is more efficiently converting risk into reward.

**Maximum drawdown:** A higher profit factor is less valuable if it comes with dramatically higher drawdown. A strategy that returns 25% with a 5% maximum drawdown may be preferable to one that returns 40% with a 30% maximum drawdown, depending on your risk tolerance.

**Win rate:** Two strategies with identical profit factors but different win rates have different psychological profiles. Higher win rate = more frequent but smaller wins. Lower win rate = less frequent but larger wins. The one that better matches your psychology is easier to execute consistently.

**Expectancy:** Average dollar return per trade. Allows scaling comparison - a high-expectancy strategy run with smaller size may be preferable to a lower-expectancy strategy run with larger size.

**Sharpe-like consistency:** How stable is each strategy's monthly performance? High variance (great months and terrible months) is a different risk profile from consistent moderate results.

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## The Practical Process

Tag all Strategy A trades with "strat-A" and all Strategy B trades with "strat-B." Run the statistics for each tag. Compare the metrics above.

If the comparison is unclear at equal trade counts (similar profit factors, similar drawdowns), run both strategies simultaneously for an additional 60 days before making a decision.

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