Home Features Pricing FAQ Blog Help Privacy Policy Terms of Service
Feature Spotlights

Expectancy per Trade: How Much Do You Make on Average?

Win rate is overrated. Profit Factor is great. But Expectancy tells you the bottom line: the exact dollar amount you make (or lose) per trade on average.

← All posts 📊 Insights Education series
Feature Spotlights 6 min read
Share this article:

The bottom-line number that proves whether you have an edge

Win rate tells you how often you win. Profit Factor tells you whether wins outweigh losses in total. But Expectancy tells you something more direct: on average, how many dollars do you make or lose every time you place a trade?

A positive Expectancy means your strategy produces profit on average. A negative Expectancy means you are losing money with every trade, on average — no matter how good individual winners feel. This is the bottom line metric.

💡 Tip
Coinlio calculates your Expectancy automatically on the Insights tab. The StatCardView shows your Expectancy per trade with a green or red label so you can see your edge at a glance.

What is Expectancy? (definition + formula)

Expectancy combines your win rate, average win size, and average loss size into a single expected value. It answers the question: if I placed this trade infinitely many times, what would the average outcome be?

📝 Note
Expectancy = (Win Rate × Avg Win) − (Loss Rate × Avg Loss)
Win Rate = fraction of trades that are profitable. Loss Rate = 1 − Win Rate. Avg Win and Avg Loss are dollar amounts (use absolute value for Avg Loss).

Notice that Expectancy uses four inputs — not just win rate. This is what makes it more complete than win rate alone. A 70% win rate with a terrible average win can still produce a negative Expectancy. A 40% win rate with strong average wins can produce an excellent one.

Expectancy is closely related to both Profit Factor and R-Multiple. Where Profit Factor measures the ratio of gross wins to gross losses, Expectancy gives you the per-trade dollar number in real terms — making it the most intuitive of the three.


Worked example: close but not quite profitable

Here is a scenario that looks good on the surface but falls apart on Expectancy:

InputValue
Win rate55%
Average win$20
Loss rate45%
Average loss$25

Expectancy = (0.55 × $20) − (0.45 × $25) = $11.00 − $11.25 = −$0.25 per trade.

A 55% win rate with wins that are nearly as large as losses produces a negative Expectancy. You are losing a quarter dollar on every trade on average — and that is before fees. Add typical exchange fees and the real number is worse.

In this example, the fix is simple: either increase win rate to above 55.5%, or grow average wins above $25, or trim average losses below $20. Any one of those changes flips Expectancy positive.

Now a positive example: W = 45%, avg win = $40, avg loss = $20. Expectancy = (0.45 × $40) − (0.55 × $20) = $18 − $11 = +$7 per trade. Lower win rate, but much better asymmetry. This is what "letting winners run" actually looks like in numbers.


What Expectancy should you aim for?

Expectancy is expressed in dollar terms, so the threshold depends on your average position size. A more useful benchmark is Expectancy as a percentage of average position size:

⚠️ Warning
Always calculate Expectancy after fees. A typical round-trip trade on a major exchange costs $0.50–$1.00 in fees per $100 of position size. A positive Expectancy before fees can easily become negative after.

2 common mistakes that distort Expectancy

1
Confusing Expectancy with Profit Factor
Profit Factor is a ratio (gross wins ÷ gross losses). Expectancy is a dollar amount (average outcome per trade). They are related but answer different questions. You can have a high Profit Factor with a low Expectancy if your average position size is small. You can have a Profit Factor of exactly 1.0 (breakeven) with either a positive or negative Expectancy depending on fees. Check both — they are complementary, not interchangeable.
2
Calculating Expectancy before fees
Every buy and sell incurs a cost: exchange maker/taker fee, gas fee for on-chain trades, withdrawal cost, spread. Expectancy before fees is a story. Expectancy after fees is your reality. Log your fees in each Coinlio transaction so the Insights calculation reflects your actual net result — not a theoretical one.

An Expectancy of $0.25 per trade sounds harmless. At 100 trades per year, that is $25 lost — plus fees. The math is relentless.


How Coinlio computes Expectancy for you

Coinlio calculates your Expectancy on the Insights tab using all your closed round-trip trades. A round-trip is one complete buy-to-sell cycle on the same coin.

Fees logged in each transaction are included in the win/loss amounts, so the Expectancy you see is your real after-fee number — not a theoretical pre-fee calculation.

💡 Tip
To see your Expectancy: open Coinlio → tap Insights tab → scroll to the Trading Stats section. Expectancy appears alongside Win Rate and R-Multiple in the StatCardView.

What to do after you know your Expectancy

Expectancy is a diagnostic. Once you know it, here are the levers to pull:

Expectancy is the most honest performance number because it factors in every component of your edge: how often you win, how much you make when you do, and how much you lose when you do not. Make it positive and keep it positive.
Open Coinlio → Insights tab → see your Expectancy per trade on your real portfolio. <a href="https://apps.apple.com/us/app/coinlio-crypto-tracker/id6761177479">Download on the App Store</a>.<br><br><em>Educational content. Not financial advice.</em>
📝 Note
Educational content. Not financial advice.

Try Coinlio Free

3 portfolios, unlimited assets, zero data selling. Download now on the App Store.

Try Coinlio Free →
Link copied!