Swing trading is simple to describe and hard to do well. Most of the difference between traders who last and traders who don't comes from risk management in trading, not from finding better stocks: where the stop-loss goes, how many shares you buy, and how much you have at risk at once. This page answers those questions with examples. For longer holds, see positional trading; for setups, see the chart patterns hub.
The basics
What is swing trading, and how long are trades held?
Swing trading means buying a stock to capture one move — a "swing" — in its price, then getting out. A typical holding period is from two or three days to a few weeks. You are not trying to catch an entire trend, and you are not trading the minute-by-minute noise of intraday charts either.
Most swing traders work from daily charts. They look for a setup such as a breakout above resistance or a pullback to a rising moving average, decide the entry, the stop-loss and the target before buying, and then let the plan run. Because positions are held overnight, they are delivery trades (CNC) or funded through MTF, and they carry gap risk between one session's close and the next session's open.
What is the difference between swing trading, positional trading and intraday trading?
The main difference is how long you hold, and that changes almost everything else.
- Intraday: opened and closed the same day, usually on 5- or 15-minute charts, as MIS orders. No overnight gap risk, but costs and noise are high relative to the move.
- Swing trading: days to a few weeks, on daily charts. Stops are tighter, so positions can be larger for the same risk, and trades turn over often.
- Positional trading: weeks to months, on weekly and daily charts. Stops are wider, trades are fewer, and the aim is to ride a larger part of a trend.
In swing trading vs positional trading, neither is better. Pick the one whose holding period, screen time and patience match yours. Our positional trading page covers the longer style in detail.
Risk per trade and position size
What is the 1% rule in trading?
The 1% rule says you should lose no more than 1% of your trading capital if a trade hits its stop-loss. It limits risk per trade, not the amount you invest.
On a ₹5,00,000 account, 1% is ₹5,000. That ₹5,000 is your R — one unit of risk. If your stop is ₹30 below your entry, you can buy 166 shares; if it is ₹10 below, you can buy 500. The rupee loss at the stop is the same either way.
The point is survival. Ten losing trades in a row — which happens to every trader eventually — at 1% each leaves a fixed-fraction account down about 9.6%, an uncomfortable but recoverable drawdown. Many experienced swing traders risk even less, 0.5% or so, while they are still testing a method.
What is the 2% rule in trading, and is 2% too much?
The 2% rule is the same idea with a higher ceiling: never lose more than 2% of capital on one trade. On a ₹5,00,000 account that is ₹10,000 per trade.
It is a maximum, not a target. Ten straight losses at 2% each leave a fixed-fraction account down about 18.3%, and you then need a gain of about 22% just to get back to where you started. That is why 2% tends to suit traders with a long, tested record and a high win rate, while 0.5–1% suits most others.
Also remember that a gap through your stop can turn a planned 2% loss into 3% or 4%. A lower risk per trade leaves room for those bad days. You can see how quickly losses compound with the Drawdown Recovery Calculator.
How do I calculate position size? (worked example)
Position size comes from three numbers: how much you will risk, where you enter and where your stop-loss is.
Quantity = risk per trade ÷ (entry − stop), rounded down.
Example: capital ₹5,00,000, risk 1% = ₹5,000. You plan to buy at ₹500 with a stop at ₹470, so the risk per share is ₹30.
- ₹5,000 ÷ ₹30 = 166.67, rounded down to 166 shares.
- Position value: 166 × ₹500 = ₹83,000.
- Loss if the stop is hit: 166 × ₹30 = ₹4,980 — inside your ₹5,000.
Always round down, never up, so the trade cannot risk more than you allowed. If the position value is more than you can afford, buy fewer shares — never move the stop closer just to make the numbers fit. TradeYantra sizes every position this way, from the stop decided before you enter. Try your own numbers in the Position Size Calculator.
Stop-loss placement
Where should I place a stop-loss in swing trading? (with example)
There are three common ways to place a stop-loss:
- Percentage stop: a fixed distance, such as 7% below entry.
- Chart-based stop: just below the level that proves the trade wrong — a recent swing low, a support zone, or the low of a breakout candle.
- Volatility (ATR) stop: a multiple of the stock's ATR, such as 2 × ATR below entry.
A stop loss in swing trading example: you buy at ₹500. The last swing low is ₹472, so a chart stop sits a little below it at ₹469. The 14-day ATR is ₹12, so a 2 × ATR stop is ₹476. A 7% stop would be ₹465.
The chart and ATR stops agree roughly, because both reflect how this stock actually moves. Choose the stop first, then let it decide the quantity — never the other way round.
What is a good swing trading stop loss percentage?
There is no correct percentage. In practice, swing trading stops often land somewhere between 3% and 10% below entry, but that range is a result, not a rule.
A fixed percentage ignores the stock. A calm large company that moves 1.5% a day and a volatile small company that moves 5% a day cannot share the same 5% stop: on the first it is loose, on the second it will be hit by ordinary noise. That is why the swing trading stop loss percentage should come from the chart (below a real swing low or support) or from volatility (a multiple of ATR).
Then let position size absorb the difference. A wider stop means fewer shares, a tighter stop means more shares, and the rupee risk stays the same. The percentage is simply what falls out of a sensible stop.
What is the 7% rule for stop-loss?
The 7% rule says: sell any stock that falls 7% (some versions say 7–8%) below your buying price, with no exceptions. It was popularised in growth-stock investing books, as a simple way to stop small losses from becoming large ones.
Its strength is that it is unarguable. You know in advance exactly when you will sell, which stops the habit of "giving it a little more room".
Its weakness is that 7% ignores the stock's volatility and the chart. For a quiet stock a 7% stop may be far wider than needed; for a volatile one it may sit in the middle of normal daily swings. If you use it, treat 7% as an upper limit and place the actual stop below a chart level inside that limit, then size the position from that stop.
Is a 20% stop-loss good?
For most swing trades, a 20% stop-loss is too wide. A swing trade aims to capture a move of perhaps 10–25%, so a 20% stop leaves a reward-to-risk of a little over 1:1 at best, and often worse. A 20% fall also needs a 25% gain just to get back to the starting price.
A wide stop is not reckless in itself, provided the position is sized for it. At 1% risk on ₹5,00,000 (₹5,000), a 20% stop on a ₹500 stock means a ₹100 risk per share, so you buy just 50 shares — a ₹25,000 position. The rupee risk is fine; the problem is that so much capital sits idle for a small result.
Wide stops are more common in positional trading and long-term investing, where the expected move is far larger.
Reward, win rate and open risk
What reward-to-risk and win rate do I need to break even?
Reward-to-risk (RR) compares your average winner with your average loser, both measured in R. The win rate you need just to break even, before costs, is:
Breakeven win rate = 1 ÷ (1 + RR)
- RR 1: 1 ÷ 2 = 50%
- RR 2: 1 ÷ 3 = 33.3%
- RR 3: 1 ÷ 4 = 25%
So a trader whose winners average twice the losers can lose two trades in every three and still break even. A trader who takes quick profits of half a loser (RR 0.5) needs 1 ÷ 1.5 = 66.7% winners.
Costs push the breakeven up a little, so aim to be clearly above it, not on it. Test your own numbers in the Edge Calculator.
How many swing trades should I hold at once?
Decide this by open risk, not by a count of stocks. Open risk is what you would lose if every open position hit its stop at the same time.
Set a ceiling, for example 6% of capital. At 1% risk per trade, that allows six full-risk positions. On ₹5,00,000 the ceiling is ₹30,000 of total risk. Once a trade's stop has been raised to its entry price, it no longer adds to open risk, which frees room for a new trade.
Watch correlation too. Six stocks from one sector can behave like one large position when that sector falls, so their risks are not really separate. A sensible ceiling, plus spreading trades across sectors, keeps one bad week from becoming a deep drawdown. The Risk Planner helps you set these numbers.
Costs, profitability and mistakes
What are the real charges on a delivery swing trade?
On a delivery (CNC) trade you pay several charges. As of October 2026 they are roughly — check current rates with your broker:
- STT: 0.1% on the buy and 0.1% on the sell.
- Stamp duty: 0.015% on the buy.
- Exchange transaction charges and the SEBI fee: very small, a fraction of a basis point.
- GST: 18% on brokerage plus exchange and SEBI fees.
- DP charges: a flat fee per stock, per day you sell it.
Example: buy ₹1,00,000, sell ₹1,10,000. STT ₹210, stamp duty ₹15, exchange and SEBI fees about ₹6, brokerage (say ₹20 per order) ₹40, GST about ₹8, DP charge (say) ₹20. Total about ₹300. Work out your own in the Trading Charges Calculator.
How much does MTF interest add to a swing trade?
With MTF, your broker funds part of the purchase and charges interest every day on the funded amount, for as long as you hold. As of October 2026 rates are commonly in the range of about 12–18% a year; check your broker's current rate and any pledge charges.
Example: your broker funds ₹50,000 of a position at 15% a year, and you hold for 20 days. Interest is ₹50,000 × 15% × 20 ÷ 365 = about ₹411.
That looks small, but compare it with your risk, not your capital. If the trade risks ₹5,000, ₹411 of interest plus about ₹300 of charges is roughly 0.14R gone before the trade makes anything. On slow trades that drift for weeks, interest quietly eats a large share of the result.
Is swing trading profitable?
It can be, but most people who try it lose money, and nobody can promise a profit. Whether it works for you depends on your expectancy after costs:
E = W × RR − (1 − W) − costs ÷ risk, in R per trade.
Example: win rate W = 40%, average reward-to-risk RR = 2, costs 0.1R per trade. E = 0.4 × 2 − 0.6 − 0.1 = 0.1R. At ₹5,000 risk per trade, that averages ₹500 a trade over many trades — positive, but thin.
Drop the win rate to 35% and E = 0.7 − 0.65 − 0.1 = −0.05R: a losing method. Small changes in win rate, reward-to-risk or costs decide the result, so measure them from your own trades. The Edge Calculator does this arithmetic for you.
Why do most swing traders lose money?
Usually not because their entries are bad, but because of a few habits that break the arithmetic:
- Overriding stops: moving the stop lower "just this once" turns a 1R loss into 3R, and one such loss wipes out several winners.
- Averaging down: buying more of a falling stock adds risk exactly when the trade is proving wrong.
- Oversizing: buying by "how much money I have" rather than by risk, so one loss costs 5% instead of 1%.
- Ignoring costs: many small, frequent trades pay charges and MTF interest that quietly lower the expectancy.
- No written rules: without rules decided in advance, every decision is made under pressure.
Each of these is a decision you can fix with a written plan and the discipline to follow it.
Updated 2026-10-16
Educational content only. It is not investment advice and not a recommendation to buy or sell any security. Prices in examples and illustrations are made up. Patterns and rules fail often; past behaviour guarantees nothing.