Trading Expectancy
Expectancy is the average dollar amount you expect to make per trade. A positive expectancy means the strategy has an edge; negative means it loses money.
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The Formula
(Win Rate × Average Win) − (Loss Rate × Average Loss) Where: - Win Rate = Percentage of winning trades expressed as a decimal (e.g., 0.55 for 55%) - Average Win = Mean dollar profit on winning trades - Loss Rate = Percentage of losing trades (1 − Win Rate) - Average Loss = Mean dollar loss on losing trades (expressed as a positive number)
Benchmark Ranges
| Level | Range | What It Means |
|---|---|---|
| Excellent | Above $50 per trade | Strong edge producing substantial returns per trade; sustainable through drawdowns |
| Good | $20–$50 per trade | Healthy positive expectancy; profitable across varying market conditions |
| Average | $1–$20 per trade | Marginally positive; vulnerable to cost erosion and market regime changes |
| Poor | Below $0 | Negative expectancy — the strategy loses money per trade and must be redesigned |
How to Track
Maintain a complete trade log with exact entry price, exit price, and position size for every trade
Calculate win rate, average win, and average loss from at least 30 completed trades
Compute expectancy monthly and compare against a rolling 3-month average to detect strategy decay
How to Improve
Increase average win size by holding winners through continuation moves instead of exiting at the first resistance level
Decrease average loss size by tightening stops on low-conviction setups and cutting losers faster
Improve win rate by adding confluence filters that eliminate the lowest-probability entries from your playbook
Trading expectancy is the average dollar amount you can expect to make — or lose — on every trade you take. It is the single most important number for evaluating whether a strategy has a genuine statistical edge. Expectancy combines two dimensions of trading performance — how often you win and how much you win versus lose — into one actionable figure. A positive expectancy means your strategy makes money over a sufficient number of trades. A negative expectancy means it loses money, regardless of how active or disciplined you are.
Formula & Calculation
Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)
Consider a trader with a 48% win rate, an average win of $150, and an average loss of $90:
Expectancy = (0.48 × $150) − (0.52 × $90) = $72.00 − $46.80 = +$25.20 per trade
Over 60 trades per month, this produces an expected gross return of $1,512. The formula reveals an important insight: you can have a sub-50% win rate and still generate strong positive expectancy if your winners are sufficiently larger than your losers.
Why Expectancy Matters
Expectancy is the foundation metric because it tells you whether more trading will make you more money or less. A trader with negative expectancy who increases trade frequency is accelerating losses. A trader with positive expectancy who increases frequency (within capacity and without quality degradation) is compounding gains.
Without knowing your expectancy, you cannot answer the most basic question in trading: should I keep doing what I am doing?
Practical Examples
Strategy A — High win rate, small edge:
- Win rate: 68%, Avg win: $60, Avg loss: $80
- Expectancy = (0.68 × $60) − (0.32 × $80) = $40.80 − $25.60 = +$15.20
Strategy B — Low win rate, large edge:
- Win rate: 35%, Avg win: $280, Avg loss: $85
- Expectancy = (0.35 × $280) − (0.65 × $85) = $98.00 − $55.25 = +$42.75
Strategy B has a higher expectancy despite winning less than half as often. This demonstrates why trend-following systems — which typically have low win rates but high average win-to-loss ratios — can outperform high win rate scalping approaches on a per-trade basis.
Common Misinterpretations
The most frequent error is treating expectancy as a guaranteed per-trade outcome. Expectancy is a statistical average over many trades. Any individual trade will either win or lose — the expectancy number only materializes over a large sample. Acting on expectancy from fewer than 30 trades is unreliable; the variance will mislead you into keeping losing strategies or abandoning winning ones.
Another mistake is ignoring costs. Gross expectancy of +$12/trade sounds positive until you subtract $15 in round-trip commissions and slippage. Always compute net expectancy alongside gross to see what you actually take home.
How to Use Expectancy to Improve
Segment your trades by setup type and calculate separate expectancies. If your breakout trades show +$35/trade expectancy and your mean-reversion trades show −$8/trade, the data is telling you exactly where to focus. Combine this with your risk-reward ratio and average profit per trade to build a complete performance profile.
How JournalPlus Calculates Expectancy
JournalPlus calculates expectancy automatically from your trade log, breaking it down by setup type, instrument, and time period. The analytics dashboard shows both gross and net expectancy side by side, with a rolling trend line that makes strategy decay visible before it causes material damage. Filter by any dimension to isolate which parts of your trading carry the edge — and which are dragging it down.
Common Mistakes
Using gross expectancy without subtracting trading costs — real-world expectancy must account for commissions and slippage
Calculating expectancy from fewer than 30 trades, producing a number dominated by random variance rather than true edge
Frequently Asked Questions
What is trading expectancy?
Trading expectancy is the average amount you expect to gain or lose on each trade. It combines your win rate with how much you win and lose on average. A positive expectancy means the strategy makes money over time; a negative expectancy means it loses money regardless of how often you trade.
How is expectancy different from net expectancy?
Standard expectancy (Win Rate × Avg Win) − (Loss Rate × Avg Loss) calculates your edge before costs. Net expectancy subtracts average commissions and slippage per trade. Both are useful: gross expectancy measures raw strategy quality, while net expectancy shows actual take-home profitability.
What is a good expectancy per trade?
A good expectancy depends on your trading style and costs. For an active day trader with $10-15 in round-trip costs, an expectancy above $30/trade provides a healthy buffer. For a swing trader with lower costs, even $15-20/trade can be sustainable. The key requirement is that expectancy exceeds your all-in cost per trade.
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