The Trading Statistics Every Futures Trader Must Track: Profit Factor, Sharpe Ratio, and Expectancy

Why Win Rate Is the Wrong Metric to Optimize

Win rate measures how often you're right. It tells you almost nothing about whether you're making money. A strategy that wins 80% of the time but loses 5x the average win on the 20% losing trades has a negative expectancy — you'll lose money over time regardless of how good the win rate feels. A strategy that wins 40% of the time but makes 3x the average loss on winners has strongly positive expectancy — you'll make money over time even though you're "wrong" most of the time. Optimizing for win rate produces systems that avoid losses by taking tiny profits, while allowing infrequent but large losses to persist. This is the pattern that produces consistent small winners and occasional account-ending losers — the worst possible outcome for long-term trading survival.

The Four Metrics That Actually Measure Edge

1. Expectancy (Expected Value per Dollar Risked)

Expectancy is the average amount you expect to make per dollar risked, calculated as: Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss). If you win 45% of trades at $200 average win and lose 55% of trades at $100 average loss: Expectancy = (0.45 × $200) − (0.55 × $100) = $90 − $55 = $35. Each trade produces an expected $35 profit on average. To express this as a ratio: if you risk $100 per trade, your expectancy per dollar risked is $35/$100 = 0.35 (35 cents expected per dollar risked). A positive expectancy means the strategy has edge; negative means you'll lose money over time. Target: any positive expectancy is theoretically viable, but most professional systematic strategies target 0.20 or higher per dollar risked.

2. Profit Factor

Profit factor is the ratio of gross profit to gross loss: Profit Factor = Total Winning Trade P&L ÷ Absolute Value of Total Losing Trade P&L. A profit factor of 1.0 means breakeven. Below 1.0 is a losing strategy. Above 1.0 means gross profits exceed gross losses. Professional standards: 1.5 is the minimum threshold for a viable strategy worth trading; 2.0+ is strong; above 3.0 is exceptional and often suggests optimization overfitting on historical data (too good to be real on out-of-sample data). For the YMI Marty and KPL strategies, tracking profit factor across rolling 30-day and 90-day periods is a key health indicator — a declining profit factor trend often precedes periods of extended drawdown and serves as an early warning to reduce size.

3. Sharpe Ratio

The Sharpe ratio measures return relative to volatility: Sharpe Ratio = (Average Return − Risk-Free Rate) ÷ Standard Deviation of Returns. In trading contexts, the risk-free rate is often omitted for simplicity. A Sharpe ratio above 1.0 is considered acceptable; above 2.0 is good; above 3.0 is exceptional for an active trading strategy. A high Sharpe ratio means the strategy produces returns consistently relative to its ups and downs — it's the "smoothness" metric. Two strategies with identical average returns but different Sharpe ratios: the higher-Sharpe strategy has a smoother equity curve and requires less capital to sustain the same return stream through drawdown periods. For funded account trading, a higher Sharpe ratio directly correlates with lower probability of hitting drawdown limits.

4. Maximum Drawdown and Calmar Ratio

Maximum drawdown is the largest peak-to-trough decline in account equity over a period. It's the worst case your strategy has actually produced — and it's almost certainly lower than the worst case it could produce in future unfavorable conditions. Calmar Ratio = Annualized Return ÷ Maximum Drawdown. A Calmar of 1.0 means annual return equals maximum drawdown. Professional benchmarks: Calmar above 2.0 is good (earned twice the max drawdown in annual returns); above 3.0 is excellent. For a funded ES futures strategy with a 10% historical maximum drawdown producing 35% annual return, Calmar = 3.5 — strong. For the same drawdown producing 15% annual return, Calmar = 1.5 — acceptable but not impressive.

Practical Benchmarks for ES and NQ Strategies

Based on the performance of viable systematic futures strategies across the YMI community and broader prop trading ecosystem:

• Expectancy: target 0.15+ per dollar risked over 100+ trade samples
• Profit Factor: minimum 1.5; target 2.0+; be skeptical above 3.5 on historical data
• Sharpe Ratio: minimum 1.0 annualized; target 1.5+
• Maximum Drawdown: less than 15% of account for funded account viability; less than 10% ideal
• Win Rate: irrelevant as an optimization target; track it but don't optimize for it

Calculate these metrics across your last 50 and 100 trades quarterly. A strategy that maintains these benchmarks across multiple market regimes (trending, ranging, volatile, quiet) has demonstrated robust edge. A strategy that meets the benchmarks only during specific market conditions has regime-dependent edge — valuable, but requiring regime detection to know when to trade it and when to step aside.