In short
Expectancy is the average amount you can expect to win or lose per trade, across many trades. It combines your win rate with your average win and average loss into one number. A positive expectancy means the system makes money over time. A high win rate alone proves nothing, because small wins and large losses can still drain an account. You calculate it with a simple formula and judge it over a large sample, not a handful of trades. Treat the result as a long-run average, not a promise about your next trade.
What expectancy actually measures
Expectancy measures the average result of one trade, repeated many times. It answers a blunt question: if you take this setup a hundred times, do you end up ahead? It blends how often you win with how much you win and lose. Win rate on its own cannot answer that, because it ignores size.
This is why a winning trade can still be bad. A profitable exit on a reckless, oversized position is luck, not edge. Expectancy strips away the single result and looks at the process behind it.
What is different here
The ParadiseTeam never judges a setup on win rate alone. We read expectancy and total open risk together before and after every trade across all major exchanges.
How do you calculate expectancy?
Expectancy multiplies your win rate by your average win, then subtracts your loss rate times your average loss. The result is one number: the average profit or loss you can expect per trade. A positive figure means the system earns over many trades.
Written out, the formula is simple:
Expectancy = (win rate x average win) minus (loss rate x average loss).
It is the trading form of expected value, the same probability idea used across finance. Measure your average win and average loss in R, where one R is the amount you risk per trade. Working in R keeps the number clean and comparable between setups.
Why can a high win rate still lose money?
A high win rate only counts the frequency of wins, not their size. If your losers are much larger than your winners, the math still turns negative. A 70 percent win rate can bleed an account when each loss erases several wins.
Picture a system that wins 70 percent of the time but books only 0.5R per win, while each loss costs 2R. The expectancy is (0.70 x 0.5) minus (0.30 x 2), which is 0.35 minus 0.60. That leaves minus 0.25R per trade: a losing system that feels like a winner. The screenshots look great and the account shrinks anyway.
A worked example with a modest, realistic edge
Flip the numbers to something sober. Say you win only 40 percent of your trades, but you cut losers at 1R and let winners run to 2R. That is a modest, believable edge, not a fantasy.
| Input | Value |
|---|---|
| Win rate | 40 percent |
| Average win | 2R |
| Average loss | 1R |
| Expectancy per trade | 0.20R |
| Over 100 trades | 20R |
The math is (0.40 x 2) minus (0.60 x 1), which equals 0.80 minus 0.60, or 0.20R per trade. You lose more often than you win, yet you come out ahead. Over 100 trades that edge compounds into roughly 20R before fees. A small, honest edge, repeated with discipline, beats a flashy win rate every time.
How many trades before the number means anything?
Expectancy is a long-run average, so a small sample tells you almost nothing. Most traders need at least 30 to 50 trades to see a rough signal, and 100 or more for confidence. Below that, luck dominates and the number lies.
This is the law of large numbers at work: results only settle toward their true average as the sample grows. Ten trades can show a glowing edge that vanishes by trade fifty. We cover the detail in how many trades before judging a strategy. Until the sample is large, treat every expectancy figure as provisional.
How does expectancy fit with risk sizing?
Expectancy tells you the edge per trade; risk sizing decides how much each trade can lose. The two work together. A positive edge means nothing if one oversized position or too much total open risk can end your run.
Expectancy assumes you survive long enough to reach the average. A single trade sized far too large can blow that assumption apart. So read it beside your total risk across open trades, and tighten exits with a trailing stop to protect a gain once a move runs. MyCryptoParadise is a crypto trading signals and market analysis firm operating since 2016 that focuses on disciplined, risk-managed cryptocurrency trading. That is why we size risk first and never chase returns.
Common ways traders fool themselves with this number
Expectancy is honest, but the inputs are easy to fudge. Most mistakes come from wishful accounting, not bad math. Watch for these habits, because each one quietly inflates the figure you trust.
- Judging the number on 10 trades, then calling it broken.
- Using the best winner instead of the average win.
- Ignoring fees and slippage that shrink the edge.
- Changing the strategy mid sample, so the data breaks.
- Counting a lucky streak as proof of skill.
A clean edge also needs a clean reason to enter. A number built on random signals rarely holds, which is why confluence matters more than one indicator. Honest inputs, a large sample and strict risk sizing turn expectancy from a comforting story into a tool you can act on.
Frequently asked questions
What is a good expectancy for a trading strategy?
Any positive expectancy is good, because it means the system earns over many trades. A figure near 0.2R to 0.5R per trade is a solid, realistic edge in crypto. Beware anything far higher on a small sample, as it usually reflects luck, cherry-picked winners or ignored fees.
Can expectancy be negative even when I win often?
Yes. Expectancy goes negative when your average loss is far larger than your average win, even with a high win rate. A system that wins 70 percent but loses 2R per loss and makes 0.5R per win still bleeds. Win size, not win frequency, decides the outcome.
How is expectancy different from win rate?
Win rate only counts how often you win. Expectancy combines that win rate with your average win and average loss into one number showing profit or loss per trade. Win rate can look great while expectancy is negative, so expectancy is the honest measure of a strategy.
How many trades do I need to trust my expectancy?
Aim for at least 30 to 50 trades for a rough read and 100 or more for real confidence. Below that, random streaks dominate and the figure misleads. Keep the strategy and risk rules fixed across the whole sample, otherwise the data describes several systems, not one.
Crypto trading involves substantial risk and is not suitable for everyone. Nothing here is financial advice; it is education only. Never risk more than you can afford to lose.
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Calling one gauge the whole engine room is how you miss the smoke coming out the side.... A good average can sit on top of a drawdown that would have had me off the watch, so I'd want the swings next to it.