Measuring progress is essential to sustaining a trading career. Most new traders measure themselves by daily P&L, then graduate to tracking win rate. Both are incomplete on their own. This article walks through the three metrics that matter — win rate, risk/reward and expectancy — and shows why only the last one tells you whether your strategy actually works.
WIN RATE
Win rate is the percentage of trades that close with a positive P&L. Ten trades with seven winners is a 70% win rate.
Many traders chase a high win rate believing it guarantees profitability. It does not. If your average loss is much larger than your average win, a high win rate still loses money.
Example: 70% win rate, $100 average win, $300 average loss. Over ten trades: (7 × $100) − (3 × $300) = −$200. A winning record and a losing account.
RISK/REWARD RATIO
Risk/reward measures how much you stand to gain for every dollar risked. A 1:3 ratio means risking $1 to make $3. It is defined by your entry, stop and target: (Entry − Stop) : (Target − Entry).
Example: long at $60.00, stop at $59.90, target at $60.20 → 10 ticks of risk against 20 ticks of reward, a 1:2 ratio.
A healthy ratio alone is not enough either. At 1:2 with only a 30% win rate, ten trades of $100 risk produce (3 × $200) − (7 × $100) = −$100, before commissions.
WHY NEITHER METRIC WORKS ALONE
Win rate and risk/reward must be read together. A very high win rate tolerates a low ratio; a low win rate requires a high ratio.
Trader A: 76% win rate at 1:0.8. Risking $100, over 100 trades: (76 × $80) − (24 × $100) = +$3,680.
Trader B: 40% win rate at 1:3. Risking $100, over 100 trades: (40 × $300) − (60 × $100) = +$6,000.
Both are profitable with completely different profiles. Mapping your win rate against your ratio shows where your edge comes from and where to focus improvement.
EXPECTANCY — THE NUMBER THAT MATTERS
Expectancy is the average amount you expect to make per trade, including wins and losses. Positive means the system makes money; negative means it loses.
Formula: (Win Rate × Average Win) − (Loss Rate × Average Loss), with rates expressed as decimals.
Example: 20% win rate, $1,000 average win, $100 average loss → (0.2 × $1,000) − (0.8 × $100) = $200 − $80 = +$120 per trade. A system that loses 80% of the time and is still strongly profitable.
The relationship is a trade-off: holding out for bigger targets usually lowers win rate; tightening targets to win more often usually lowers risk/reward. Judge every adjustment by its effect on expectancy, not on either input in isolation.
HOW TO IMPROVE
Track all three metrics over a meaningful sample. One hundred trades tells you something; ten trades tells you almost nothing.
Experiment deliberately. You may find that improving your ratio costs less win rate than the reverse — or the opposite. Your data will tell you.
Set realistic targets. A win rate already in the 70s is hard to raise — focus on risk/reward. A low win rate needs a higher ratio to work at all.
Watch expectancy as your single scoreboard. If a change improves it, keep the change; if it degrades it, reverse it.
Over time you develop a clear sense of your risk appetite and where your stops belong. From there, you select only the opportunities that offer a reward in line with your ratio. The trading day is not over when the last trade closes — the review is where the improvement happens.
Educational content only. Nothing in this article is a trade recommendation or financial advice. Trading involves substantial risk; a purchased 0DTE option can lose its entire premium.