Entries, exits and where to put a stop

An edge is theoretical until it survives contact with reality, and reality is execution — the unglamorous business of where exactly you get in, where you get out, and how much you put on. This is where most of the money is actually made or lost, and where the indicators and systems of the earlier chapters either pay off or evaporate. The single most important decision in any trade isn't the entry everyone obsesses over; it's where you've decided to be wrong, and how much that being-wrong will cost you.

The stop comes first, not last

Beginners think about entries first and stops never. Reverse it. Before you enter any trade, you must know where you'll get out if you're wrong — your stop-loss. The stop isn't an admission of weakness or pessimism; it's the foundation the entire trade is built on, because it defines your risk, and risk is the only thing you actually control. You don't control whether the trade wins; you completely control how much it can lose you, and the stop is how. A stop is a pre-committed price at which your thesis is proven wrong and you exit, no negotiation. Its whole power is that you decide it in advance, while you're calm and objective, so that when the price is falling and your reptile brain is screaming 'give it a little more room', the decision was already made by your rational self. The stop is a contract with your future, panicking self — and the discipline to honour it is most of what separates traders who last from those who blow up.

Where to actually put it: structure and ATR, not round numbers

So where does the stop go? The wrong answer, and the most common one, is a round number or a fixed percentage chosen because it feels tidy — 'I'll stop out 5% below entry' or 'at ₹500 because it's a round figure'. Round numbers are where everyone puts stops, which makes them magnets: price routinely stabs through obvious round levels to trigger the herd's stops before reversing. And a fixed percentage ignores the stock entirely — 5% is a death sentence on a calm stock and a hair-trigger on a volatile one.

• Structure-based stops — place the stop just beyond a meaningful level on the chart: below a clear support, beneath a recent swing low, under the trendline your thesis depends on. The logic is clean: if price breaks that level, the reason you're in the trade has genuinely failed.
• ATR-based stops — place the stop a multiple of ATR away (recall the volatility chapter), so it sits outside the stock's normal daily noise. A two- or three-ATR stop is sized to this stock's movement, not to a number that felt round.
• Avoid round numbers and fixed percentages — they ignore the stock's structure and volatility, and they cluster you with the crowd whose stops get hunted first.

R-multiples: measuring everything in units of risk

Once your stop is set, you have a powerful unit of measurement: R, the amount you're risking on the trade — the rupees between your entry and your stop, times your position size. R is your fundamental unit of risk, and thinking in R-multiples transforms how you see every outcome: a trade that makes three times what you risked is a +3R win, one that hits your stop is a −1R loss, one you exit early for a small gain might be +0.5R. The beauty of R-multiples is that they make wildly different trades comparable and shift your focus from rupees to risk-adjusted outcomes — a ₹2,000 profit means nothing on its own; was it +0.5R on a big risk, or +4R on a small one? Measuring in R also enforces the asymmetry that makes systems profitable: if you consistently cut losses at −1R and let winners run to +2R, +3R or more, you can be wrong far more often than you're right and still come out comfortably ahead. R is how you operationalise the expectancy equation from the systems chapter in real trades.

Trailing stops: letting winners run without giving it all back

A fixed stop protects you when you're wrong. A trailing stop helps you when you're right. As a trade moves in your favour, you ratchet the stop up behind it — never down — so that you lock in more and more of the gain while still leaving room for the trend to breathe. If the trend keeps running, you stay in and the trailing stop keeps following; when the trend finally breaks, the trailing stop takes you out with much of the move banked.

The art is in the spacing. Trail too tightly and ordinary noise knocks you out of a trend that had much further to run — you've strangled your winner. Trail too loosely and you give back a painful chunk of profit before the stop triggers. ATR is the natural tool here: trail at a sensible multiple of the stock's volatility so the stop sits outside normal wiggles but still captures most of the move when the trend genuinely ends. A trailing stop is how you square the circle of 'let winners run' with 'don't watch a big gain evaporate'.

Position sizing falls out of the stop

Here is the elegant link that ties the whole chapter together: your stop distance determines your position size. First, decide the most you're willing to risk on a single trade — a fixed, small fraction of your capital (we'll defend 'small' hard in the next chapter). Then your position size is simply that risk budget divided by the per-share distance to your stop. The stop isn't just protection; it's the input that tells you how much to buy.

This inverts how beginners think. They decide how many shares they 'feel like' buying and then bolt a stop on afterwards, so their risk is whatever the position happens to produce — random and often huge. The disciplined approach fixes the risk first and lets the size be whatever keeps that risk constant. A wide stop forces a smaller position; a tight stop allows a larger one — but the rupees at risk stay the same on every trade. That constancy is what makes a string of losses survivable, and survival is the entire point.

The asymmetry that lets you be wrong and win

Everything in this chapter serves one liberating idea: you do not need to be right often to make money — you need your wins to be bigger than your losses. Cut losers quickly at a small, pre-defined R; let winners run with a trailing stop to multiples of R. Then the arithmetic of expectancy does the rest, and it does it even if you're wrong more than half the time. This asymmetry is the mathematical heart of durable trading, and it's the opposite of the beginner's instinct to take small profits quickly (to 'feel right') and let losers run (to avoid 'being wrong').

That instinct — snatch small gains, nurse big losses — produces the exact reverse of what works: many small wins wiped out by occasional huge losses, a negative-expectancy disaster that feels good because you're right so often. The whole discipline of stops, R-multiples and sizing exists to force the asymmetry the other way: small losses, large wins, frequency be damned. Get the asymmetry right and you can be a mediocre forecaster and still prosper. Get it wrong and the best forecasting in the world won't save you.