Stop-loss / take-profit logic

A stop-loss is not a number you pick to feel comfortable. It's the price at which your trade idea is proven wrong. A take-profit isn't a wish — it's a realistic place where the move is likely to stall. Together they define every trade's reward-to-risk, and with your win rate, they decide whether a strategy makes money over time. This lesson turns stops and targets from guesses into logic.

What you'll learn

• Where to place a stop-loss — and where not to
• Structure-based and volatility-based stops
• How to set take-profits at realistic levels
• R-multiples, reward-to-risk, and break-even win rates
• Expectancy: the number that tells you if a strategy is worth trading

1. The stop-loss: where your idea is wrong

Ask one question: "At what price is my reason for taking this trade no longer valid?"

• Buying a bounce from support? The idea is wrong if price breaks below the support zone.
• Selling at resistance in a downtrend? The idea is wrong if price breaks above the most recent lower high.

The stop goes just beyond that point — with a buffer.

Structure-based stops

Place the stop beyond a meaningful level on the chart:

• Below the swing low for a buy; above the swing high for a sell
• Beyond the far edge of the support or resistance zone, not at its middle

Add a buffer for:

• The spread (a buy's stop is triggered by the bid; a sell's stop by the ask)
• Normal noise — price often pokes slightly through obvious levels

Volatility-based stops

Markets move different amounts on different days. A common tool is the Average True Range (ATR) — the average size of recent candles. A stop of, say, 1.5 × ATR beyond your entry or level adapts to current volatility: wider in wild markets, tighter in calm ones.

Where not to put a stop

• At a round number or exactly on an obvious high or low — where many other stops cluster
• At a distance chosen by money ("I'll risk $50, so stop at 5 pips") rather than by the chart — that's what position sizing is for
• Inside normal noise, on a lower timeframe than the one you're trading

2. The take-profit: where the move is likely to stall

Targets should be realistic, not hopeful. Good places:

• Just before the next significant support or resistance zone
• The most recent swing high or low
• A measured move — for example, the height of a range projected from the breakout point

Place targets slightly in front of a level, not beyond it. Other traders are taking profits there too, and price often reverses a few pips short.

3. R-multiples: measuring trades in risk units

Professional traders measure results in R — multiples of the amount they risked.

• 1R = the amount you risk on the trade (entry to stop)
• A trade that makes twice what was risked = +2R
• A trade stopped out = −1R

Worked example

(Illustrative.) Buy EUR/USD at 1.0850, stop at 1.0830, target at 1.0890.

• Risk = 20 pips = 1R
• Reward = 40 pips = 2R
• Reward-to-risk = 2 : 1

Measuring in R lets you compare trades of different sizes and markets on the same scale — and it keeps you focused on process, not on dollars.

4. Break-even win rate

The higher your reward-to-risk, the fewer trades you need to win to break even.

Break-even win rate = 1 ÷ (1 + reward-to-risk)

(Before costs. Spread, commission, and slippage raise these numbers slightly.)

5. Expectancy: is the strategy worth trading?

Expectancy is the average amount you expect to win or lose per trade over many trades, measured in R.

Expectancy = (win rate × average win) − (loss rate × average loss)

Worked example

(Illustrative.) Over 50 trades, a strategy wins 40% of the time. Winners average +2R; losers average −1R.

• Expectancy = (0.40 × 2) − (0.60 × 1) = 0.80 − 0.60 = +0.20R per trade

At 1% risk per trade, +0.2R per trade means an average of about +0.2% per trade before costs — +20R over 100 trades. That's a positive edge, even though the strategy loses 60% of the time.

Now compare a strategy that wins 70% of the time, with winners of +0.5R and losers of −1.5R (small targets, wide stops):

• Expectancy = (0.70 × 0.5) − (0.30 × 1.5) = 0.35 − 0.45 = −0.10R per trade

It feels great — it wins most of the time — but it slowly loses money.

6. Managing the trade after entry

Once a trade is running, you'll be tempted to change the stop or target. Some adjustments can make sense — as long as they're rules decided in advance:

• Moving the stop to break-even after price reaches +1R removes risk, but also means normal pullbacks will close more trades at zero.
• Trailing stops (for example, below each new higher low) can capture bigger trends, but give back part of the move.
• Partial profits (closing half at +1R) smooth results but reduce the size of your biggest winners.

The one adjustment that is almost never acceptable: moving a stop further away to avoid taking a loss.

Common beginner mistakes

• Placing stops by money or by feel instead of where the idea is invalidated.
• Stops exactly on obvious levels, where they're hit by normal pokes through.
• Moving the stop further away as price approaches it.
• Targets that ignore the next level — hoping for 3R when resistance sits at 1R.
• Judging a strategy by win rate alone, ignoring the size of wins and losses.

Key terms

Practice

1. On a chart you've already marked with support and resistance, plan one long and one short trade. For each, write the entry, the invalidation level, the stop (with buffer), and a realistic target.
2. Calculate the reward-to-risk and break-even win rate for each.
3. Add the ATR (14) indicator. Is each stop at least around one ATR from entry?
4. From your demo history, calculate your win rate, average win (R), average loss (R), and expectancy.

Quick recap

• Put the stop where your trade idea is proven wrong, plus a buffer — never where it merely feels comfortable.
• Put the target before the next significant level.
• Measure trades in R; reward-to-risk sets your break-even win rate.
• Expectancy — not win rate — tells you if a strategy makes money.
• Decide trade-management rules in advance, and never move a stop further away.

Next up: Module 1.5 — Trading Psychology I.