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Lesson 3 of 8 · 2 min

Expected value (EV)

Thinking in hundreds of trades, not one — win rate, reward-to-risk, costs and what a positive EV actually means.

A single trade tells you almost nothing. Expected value (EV) is what a trade — or a whole approach — makes on average if you repeat it many times.

Definition

EV = (Win% × Avg win) − (Loss% × Avg loss) − Costs

Measure wins and losses in R — one R is the amount you risked. That makes results comparable across instruments and account sizes.

Worked examples

Win rate Avg win Avg loss EV per trade
40% 2R 1R 0.4×2 − 0.6×1 = +0.2R
55% 1R 1R 0.55 − 0.45 = +0.1R
70% 0.5R 2R 0.35 − 0.6 = −0.25R

The last one wins 70% of the time and loses money. Win rate alone means nothing without the size of wins and losses.

Think in batches

Judge yourself on batches of 20–50 trades, not one. A +EV approach still has losing days and losing weeks. A −EV approach still has winning ones.

Costs come off every trade

Commissions, fees and slippage are paid on wins and losses. A small positive EV before costs can be negative after them — especially with tight stops, where costs are a big share of each R.

Where EV goes wrong

  • Too few trades to know your real numbers.
  • Changing the rules every few trades, so no batch is ever measured.
  • Moving stops — turning 1R losses into 2R losses destroys EV quietly.
  • Cutting winners early — shrinking your average win.

EV beyond single trades

The same thinking applies to decisions like buying a prop firm challenge: fee in, probability of passing, expected payout out. There's a full lesson on that in the Prop Firms track.

Quick recap

  1. EV = average result per trade after costs, in R.
  2. Win rate without reward-to-risk is meaningless.
  3. Judge in batches; protect your average loss.

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