Win rate: useful, but dangerous alone
Win rate is the percentage of trades that close in profit. It is easy to understand, which is why traders obsess over it. But win rate without average win and average loss can be misleading.
A scalping strategy with an 80 percent win rate can still lose if the losing trades are huge. A trend strategy with a 35 percent win rate can make money if winners are three or four times larger than losses. Always read win rate beside risk-to-reward and expectancy.
Risk-to-reward ratio: what you earn for what you risk
Risk-to-reward, often written as R:R, compares the planned profit to the planned loss. If you risk 20 pips to target 40 pips, the trade is 1:2. If you risk $50 to target $150, the trade is 1:3.
Average R is often cleaner than pips because it normalizes trades with different stop sizes. A +2R winner and a -1R loser tell you more about strategy quality than raw pip values alone.
Expectancy: the average result per trade
Expectancy answers the question: if I took this setup many times, what would the average trade be worth? A simple version is:
Expectancy = (win rate x average win) - (loss rate x average loss)
If expectancy is positive after realistic costs, the strategy has potential. If expectancy is negative, the setup currently has no statistical reason to be traded as written.
Important: positive expectancy does not mean every week is profitable. It means the average trade in the tested sample was positive. You still need to survive variance.
Drawdown: the pain between equity highs
Drawdown measures how far the account falls from a previous high. It is one of the most important backtest analytics because it describes the pressure a trader must tolerate. A strategy can make money and still be unusable if the drawdown is too deep for the trader's psychology or funding rules.
Look at maximum drawdown, but also look at how long drawdowns last. A short 5 percent dip feels different from a slow three-month bleed. Duration matters because traders often break rules when nothing seems to work for a long time.
Profit factor: gross profit divided by gross loss
Profit factor compares total profit from winners to total loss from losers. A profit factor above 1 means the backtest made more than it lost. Many traders like seeing 1.3, 1.5, or higher, but context matters. A very high profit factor on a tiny sample may be luck.
Read profit factor beside trade count and drawdown. A 2.8 profit factor over 12 trades is less convincing than a 1.45 profit factor over 300 trades across mixed market conditions.
Average trade and distribution
The average trade tells you the typical outcome. Distribution tells you how those outcomes are shaped. Two strategies can have the same net profit but completely different behavior. One might have many small wins and rare large losses. Another might have many small losses and rare large wins.
Distribution helps you understand whether the strategy depends on a few outlier trades. If most profit comes from one giant winner, the backtest may be fragile. That does not make it bad, but it changes how you manage expectations.
Session, day, and hour analytics
Forex is session-driven. London, New York, Asia, and rollover hours do not behave the same. If your analytics show most losses in a specific time window, you may not need a new strategy. You may need a session filter.
Day-of-week analysis can also reveal patterns. Maybe Monday is noisy for your setup. Maybe Thursday continuation trades perform well. These are not automatic rules, but they point to questions worth retesting.
How to spot fake strength
- High win rate with poor average loss: one full loss can erase many wins.
- Good net profit with very few trades: sample size is too small to trust.
- Excellent results from one market regime: the strategy may fail when volatility changes.
- Profit from only one outlier: remove the best trade and check whether the edge remains.
- Low drawdown from skipped trades: make sure losing setups were not ignored.
What good analytics should make you do
Good analytics should lead to a decision. Keep the rules, retest a filter, reduce risk, change session, discard the setup, or forward test. Numbers are only useful when they improve the next action.
Backtest analytics FAQ
Is win rate or risk-to-reward more important?
Neither works alone. A strategy needs a combination where the average winner, average loser, and win rate produce positive expectancy after costs.
What drawdown is acceptable?
Acceptable drawdown depends on risk size, account rules, and psychology. A backtest should show the worst period clearly so you can decide whether you can realistically follow the plan.