One of the most overlooked decisions in swing trading isn’t which stock to buy or even when to buy it. It’s how you decide where your stop loss goes. A stop placed too tight gets you shaken out of good trades by normal noise. A stop placed too loose means a small mistake turns into a large loss. The two most common tools traders use to solve this problem are ADR (Average Daily Range) and ATR (Average True Range). They sound similar and are often confused for each other, but they measure different things, and that difference matters more than most traders realise.
What ADR Actually Measures
Average Daily Range looks at a stock’s high and low for each day over a chosen period, typically 14 or 20 days, and averages the difference between them. If a stock’s high was 105 and its low was 100 on a given day, that day’s range is 5 points. Average that across the lookback period and you get the ADR.
ADR is a clean, simple measure of how much a stock moves during a normal trading day. It’s intuitive and easy to calculate. But it has one significant blind spot: it only looks at what happens within a single day’s session. It has no way of accounting for what happens between sessions.
What ATR Actually Measures
Average True Range was developed specifically to fix that blind spot. Instead of just measuring the high minus the low for each day, ATR measures the “true range,” which is the largest of three values:
- The current day’s high minus the current day’s low
- The current day’s high minus the previous day’s close
- The current day’s low minus the previous day’s close
That second and third condition are what make ATR different. They capture gaps, situations where a stock closes at one price and opens the next day at a meaningfully different one. This happens constantly in the Indian cash market, especially around earnings, sector news, or broader market gaps at the open. A stock that closes at 500 and opens the next day at 485 has moved 15 points overnight, even though that move never showed up as part of any single day’s high-minus-low range. ADR would completely miss this. ATR captures it.
Why This Difference Matters for Stop Placement
A stop loss exists to answer one question: how much room does this stock need to move against me before I can say the trade genuinely isn’t working, as opposed to just experiencing normal, expected noise.
If your stop distance is based on ADR, you’re only accounting for intraday movement. You’re implicitly assuming the stock will always give you a chance to exit within a session, at a price close to where you expected. But swing trades are held overnight, often for days or weeks. Gap risk isn’t a rare edge case in this context, it’s a normal part of holding a position over time. A stop based purely on ADR can end up placed too tight relative to what the stock is actually capable of moving overnight, which means a routine gap can take out a stop that never should have been touched based on the stock’s real volatility.
ATR, by incorporating the gap component, gives a more honest picture of what a stock’s true volatility looks like, including the overnight risk that swing traders are inherently exposed to. A stop distance built on ATR reflects the real risk of holding the position, not just the risk of holding it during market hours.
Why We Use 1.25x ATR
Our system uses a stop loss distance of 1.25 times the ATR, calculated on the entry timeframe, placed below the entry or below a relevant structural level, whichever provides the more sensible risk picture for that particular setup.
The reasoning behind the 1.25 multiplier comes down to balancing two competing risks.
Too tight, and normal volatility takes you out. A stop set exactly at 1x ATR, or tighter, sits very close to a stock’s average daily movement. Given that price action rarely moves in a perfectly smooth line even within an established trend, a stop this tight gets triggered by ordinary volatility far too often, well before the trade has actually had a chance to work. This leads to a frustrating pattern where a trader is stopped out repeatedly on setups that eventually would have worked, simply because the stop never gave the trade enough room to breathe.
Too loose, and losses get expensive without improving the odds. On the other end, a stop set at 2x ATR or wider gives a trade a lot of room, but it does so at a real cost. Wider stops mean smaller position sizes are required to keep risk per trade constant, which limits how much a winning trade can contribute to the account. It also means more capital is put at risk for the same theoretical 1% risk allocation, without a correspondingly higher win rate to justify the wider berth.
1.25x ATR sits in the zone that gives a trade enough room to absorb normal volatility and typical overnight gaps, without being so wide that it stops reflecting a genuine invalidation of the setup. It’s wide enough to survive noise, tight enough to still mean something when it’s hit.
This multiplier isn’t a fixed rule pulled from theory. It reflects what tends to hold up across the specific setups we trade, Triangle Patterns, HTF, and Gap Ups, on Nifty 200 universe stocks in the cash market, using the weekly timeframe for structure and the daily for entry timing. A different market, a different universe of stocks, or a different holding period might call for a different multiplier. The number itself matters less than the logic behind choosing it deliberately, rather than picking an arbitrary round distance and hoping it works.
Why Not Just Use ADR
Given that ATR is a strict improvement in terms of what it captures, using ADR as the primary stop-distance measure introduces a risk that doesn’t need to exist. It would mean systematically underestimating true volatility on any stock prone to gapping, which in the Indian cash market includes a large share of mid-cap and small-cap names, exactly the kind of stocks that tend to show up in momentum-based setups like the ones we trade.
ADR still has its uses. It can be a useful, simple gauge of a stock’s typical intraday behaviour, and some traders use it for intraday-specific decisions where overnight gap risk isn’t relevant. But for a swing trading system where every position is held across multiple sessions by design, a stop-distance measure that ignores overnight risk is solving the wrong problem.
The Bigger Point
The specific multiplier matters less than the underlying principle: a stop loss should be based on how much a stock actually moves, including the moves that happen while the market is closed, not on an arbitrary number of points or percentage that feels comfortable. ATR-based stops force discipline into that decision by tying it to the stock’s own behaviour rather than a trader’s gut feeling on any given day.
Getting this one input right, the distance between entry and stop, has a much larger effect on long-term results than most traders assume. Position sizing, reward-to-risk ratios, and account-level risk all flow from this single number. Get it wrong, and even a good setup with a good entry can end up losing money simply because the stop was never actually built to reflect the stock’s true risk in the first place.