Forget win rate. The 6 metrics that predict profitability are: expectancy (average R per trade), profit factor (gross wins ÷ gross losses), Sharpe ratio (return per unit of risk), maximum drawdown (your worst losing period), payoff ratio (average win ÷ average loss), and consistency (does the strategy work in multiple market conditions). A profitable trader needs expectancy >0.2R, profit factor >1.3, and max drawdown <account size ÷ 20.
- Expectancy is the only metric that matters at first; everything else is detail
- Profit factor tells you if you have a real edge or just got lucky
- Drawdown is how much money you need to survive your strategy
- Win rate is a vanity metric; you can be profitable at 30% win rate
Most traders track the wrong metrics and optimize for the wrong things.
The 6 real metrics
1. Expectancy (the foundation)
Formula: Expectancy = (win rate × avg win) − (loss rate × avg loss)
Example: 40% win rate, average win +1.8R, average loss −1.0R
- Expectancy = (0.40 × 1.8R) − (0.60 × 1.0R) = 0.72R − 0.60R = +0.12R per trade
What it means: On average, per trade, you make +0.12R (12% of your risk).
Minimum for profitability: > +0.10R per trade. Below that, variance kills you.
Good: > +0.20R per trade. You have a real edge.
Why it matters: This is THE number. Everything else is secondary.
2. Profit Factor
Formula: Profit factor = (gross wins) ÷ (gross losses)
Example: 100 trades, total wins = $5,000, total losses = $3,000
- Profit factor = $5,000 ÷ $3,000 = 1.67
What it means: For every $1 lost, you make $1.67.
Minimum: > 1.0 (profitable) Good: > 1.3 (solid) Excellent: > 2.0 (rare, usually over small samples)
Why it matters: It's independent of win rate. You can have 30% win rate and a 2.0 profit factor (big winners, small losses).
3. Sharpe Ratio (return per unit of risk)
Formula: Sharpe = (average return − risk-free rate) ÷ (standard deviation of returns)
In trading simplified: How consistent are your monthly or weekly returns?
| Month | P&L in R |
|---|---|
| January | +2.5R |
| February | −0.5R |
| March | +3.0R |
| April | −0.2R |
Monthly returns jump around. Sharpe ratio is low.
| Month | P&L in R |
|---|---|
| January | +1.2R |
| February | +1.1R |
| March | +1.3R |
| April | +1.2R |
Monthly returns are consistent. Sharpe ratio is high.
What it means: Consistency matters more than average return. A +1R per month every month beats +2R then −1R.
Why it matters: Drawdown recovery is faster with consistent returns. Investors (and your sanity) prefer smoothness.
4. Maximum Drawdown
Definition: The largest peak-to-trough loss in your equity curve.
| Date | Equity | Drawdown | Max so far |
|---|---|---|---|
| 09/01 | $10,000 | — | — |
| 09/15 | $11,500 | — | — |
| 10/01 | $10,200 | −$1,300 | −$1,300 |
| 10/15 | $9,000 | −$2,500 | −$2,500 |
| 11/01 | $10,100 | −$1,400 | −$2,500 |
Max drawdown: −$2,500 (from the $11,500 peak)
What it means: Your strategy can lose $2,500 before recovering. That's the cash you need available.
Minimum acceptable: Max drawdown < account size ÷ 20. On $10K account, max DD should be < $500.
Why it matters: Drawdown kills traders psychologically. It also dictates leverage and risk per trade.
5. Payoff Ratio (avg win ÷ avg loss)
Formula: Payoff ratio = average win ÷ average loss (in R)
Example: Avg win +1.5R, avg loss −1.0R
- Payoff ratio = 1.5R ÷ 1.0R = 1.5
What it means: Wins are 1.5× bigger than losses.
Minimum: > 1.0 (you have winners bigger than losers) Good: > 1.5 (you're doing better) Excellent: > 2.0 (you're letting runners run)
Why it matters: This is where edge lives. High payoff ratio lets low win rates still be profitable.
6. Consistency Across Conditions
Test: Calculate your metrics for:
- Bull markets vs bear markets
- High volatility vs low volatility
- Different months / seasons
- Different setups
| Condition | Expectancy | Win rate | Profit factor |
|---|---|---|---|
| Bull market | +0.25R | 45% | 1.5 |
| Bear market | +0.12R | 38% | 1.2 |
| Choppy | −0.05R | 35% | 0.9 |
Your strategy works in bull and bear, but dies in chop. That's valuable info.
What it means: Your edge is real if it works in multiple conditions.
Why it matters: Strategies that work only in one condition are fragile.
Vanity metrics to ignore
| Metric | Why skip |
|---|---|
| Win rate | Meaningless alone. 30% win rate can be profitable. 60% win rate can be a money loser. |
| Total profit in dollars | Depends on account size and leverage. $10K profit on $1M account is different from $1M profit on $10M. |
| Consecutive wins | Luck. Your longest win streak says nothing about your strategy. |
| Best trade size | One trade doesn't define your edge. |
| Number of trades taken | Taking 100 trades doesn't mean you're better than someone who took 30. |
Your Journal Should Find the Pattern for You
TRADZY's TradLog tags every trade by setup, session and emotion, then shows where your edge actually is.
Start Your Free Journal →The dashboard
Keep this in front of you:
| Metric | Target | Current | Status |
|---|---|---|---|
| Expectancy (R per trade) | > +0.2 | +0.18 | ⚠️ Close |
| Profit factor | > 1.3 | 1.24 | ⚠️ Close |
| Win rate | None (ignore) | 42% | ✅ Acceptable |
| Max drawdown (as % of account) | < 5% | −3.2% | ✅ Good |
| Payoff ratio (avg W/L) | > 1.5 | 1.8 | ✅ Good |
| Consistency (std dev of monthly R) | Low | 2.1R range | ⚠️ Lumpy |
Three of these are close or bad. Priorities:
- Increase expectancy to >+0.20R
- Increase profit factor to >1.3
- Reduce consistency lumps (wins should be more steady)
FAQ
How many trades do I need before these metrics are reliable?
- 30 trades: directional signal - 100 trades: reasonably reliable - 300+ trades: very reliable Under 30 trades, you might have luck, not edge.
What's a good Sharpe ratio?
Depends on your time frame. Day traders typically see 0.5–1.5. Swing traders 1.0–3.0. Anything >1.0 is solid.
If I have >+0.2R expectancy, am I guaranteed to be profitable?
No. Variance can derail you. But it means the odds are in your favor over the long run (300+ trades).
How do I track these if I use a broker terminal?
Spreadsheet with formulas, or a journaling app like TRADZY, Edgewonk, or myfxbook that auto-calculates.
Should I change my strategy if one metric is off?
Not immediately. Check if it's a small-sample issue (run more trades). If it's consistent over 100 trades, something needs adjustment.
What if my expectancy is good but my Sharpe is bad?
You're profitable on average, but lumpy. Some months you make $5K, some you lose $2K. Your edge is real, but consistency needs work. Look for leaks: Do you trade worse after big losses? Do certain setups underperform? Fix the leaks.
Put This Into Practice
- Log your next 20 trades with setup, session and emotion tags
- Let the TradLog surface your best and worst setups
- Run the weekly review and cut one leak
Start Free in TRADZY →
Educational content, not financial advice. Trading involves substantial risk of loss.