Yesterday the candles moved calmly; today the same chart looks like it has had three cups of coffee. The asset’s name is the same, but the conditions for your strategy have changed. The ATR indicator helps you measure that difference: it shows the recent scale of price swings. Let’s walk through the calculation without unnecessary math and build a clear filter for trades on intrade.bar: when to keep testing your usual scenario, and when to skip an entry because the market has become a different one.
What volatility measures
Volatility describes how changeable a price is. There are several ways to measure it: for example, the spread of returns or the ranges of candles. ATR, Average True Range, belongs to the second approach. It estimates the average true range and helps answer the question “how widely did price move,” not “where will it go.”
Two stretches of the chart can both start at 100 and end at 102. In the first, price moved in small steps; in the second, it managed to climb to 108 and drop to 96 several times. The end result is the same; the path is completely different. For a short trade this difference matters: price may cross your opening level many times before expiry.
A low ATR can occur in a smooth trend, and a high one in a choppy sideways market. So look at the indicator alongside price. Saying “volatility is high” does not yet explain whether the market suits a bounce off a level, a trend continuation or your current test at all.
True Range: why candle height is not enough
The ordinary range is the high minus the low of the current candle. It describes the candle’s size well but can miss a jump relative to the previous close. If a new candle opened with a gap, much of the change happened between periods, not inside the candle.
True Range takes the largest of three distances: the current high minus the low; the absolute difference between the high and the previous close; and the absolute difference between the low and the previous close. “Absolute” means the sign does not matter: we are measuring a distance, so the result is never negative.
In the training example, the previous close is 99, the new candle’s high is 105 and its low is 101. That gives us 4, 6 and 2. True Range equals 6. If we took only the height of the candle, we would get 4 and underestimate the move from the old close. With a gap down, the calculation works the same way.
How to calculate ATR in a short example
To stop one wide candle from standing in for the whole picture, True Range values are smoothed. In the common Wilder version, the next value is calculated as ATR = (previous ATR × (n − 1) + new True Range) / n, where n is the period. Old data gradually loses weight, but it does not all disappear at once.
Let’s take a period of 3 purely to keep the arithmetic easy. The first True Range values are 4, 6 and 5. Their average, 5, becomes the starting ATR. The next True Range is 8: the new ATR = (5 × 2 + 8) / 3 = 6. Then a True Range of 3 arrives, and ATR = (6 × 2 + 3) / 3 = 5.
| Observation | True Range | ATR, period 3 |
|---|---|---|
| First three candles | 4; 6; 5 | 5 — starting average |
| Next candle | 8 | 6 |
| One more candle | 3 | 5 |
The wide candle pushed the indicator up; the narrow one started bringing it down. But ATR does not have to snap back to its previous level the moment a spike ends. Smoothing keeps a trace of earlier moves. So when the value is high, it helps to ask: is the market still swinging actively, or is the line simply remembering one recent outburst?
Different software may differ in smoothing, the starting calculation and the amount of history loaded. Before arguing with someone else’s chart, compare the settings. The same “ATR 14” label does not guarantee exactly the same number if the price sources or the calculation method differ.
Units, percentages and a common comparison mistake
ATR is expressed in the same price units as the asset. For a price in dollars, it is dollars; for a currency pair, it is that pair’s quote scale. If you convert the value into pips, first define the size of a pip. The last decimal place and the “pip” traders usually talk about are not always the same thing.
Absolute values for different assets are hard to compare. The first has a price of 100 and an ATR of 2; the second has a price of 1,000 and an ATR of 10. The second has the bigger range in units, the first relative to price: 2% versus 1%. For this kind of comparison you can use ATR / price × 100%, stating which price is in the denominator.
A rise in ATR from 5 to 6 is 20%, while the reverse drop from 6 to 5 is about 16.7%. That is a change in the indicator, not the asset’s return, and certainly not a trade’s expected profit. It sounds obvious — until three different percentages end up in the same note next to the word “up.”
Period and timeframe play different roles
The timeframe sets the duration of a candle; the period is the smoothing parameter. ATR 14 on a one-minute chart and on an hourly chart describes different data. With Wilder smoothing, the calculation keeps a fading memory of older observations, so the phrase “the average of strictly the last 14 candles” is not quite accurate for this version.
A short period responds faster to changes in the market but reacts more visibly to a one-off spike. A long one gives a smoother background but shows a change of regime later. The choice depends on the question. To compare market conditions before identical intraday entries, keeping the setting constant matters more than hunting for a number with a “secret” reputation.
You cannot multiply a one-minute ATR by 15 and get a reliable forecast for the next fifteen-minute candle. Neighboring ranges overlap, price moves both ways and activity changes. A different timeframe needs its own candles and a separate calculation, not a convenient multiplication.
What ATR changes in a digital option
On intrade.bar, a trade’s result is decided by where price is relative to the opening level at the moment of expiry. A high ATR does not automatically raise the chance of picking the right direction. If price traveled a long way and came back to where it started, the big range did nothing for your “up” or “down” condition.
The indicator’s value lies in filtering conditions. Say you are testing a bounce off the edge of a range in a calm market. After a news release, the candles suddenly widen. The setup may still look familiar, but its behavior now has to be studied separately. ATR lets you record the change as a number instead of passing off a new situation as a continuation of the old sample.
The size of a potential loss on a digital trade is set by the amount, not by an ATR distance. You cannot simply carry over a stop-loss rule from another instrument and assume that “two ATRs” cap your loss. intrade.bar does not offer early closing, so the amount and the expiry are chosen before the trade opens.
A practical pre-trade filter on intrade.bar
On the demo, choose one available asset and one scenario, for example a return into a range after a false breakout. Analyze five-minute candles and ATR 14 with constant smoothing. If you use an external TradingView, check that the feed matches: FXCM for intrade.bar’s currency instruments, Binance for BTC/USDT. Mismatched candles will give you a mismatched filter.
For a training experiment, first record the median ATR over the previous 20 closed candles. Then compare the current closed ATR with this baseline. In the experiment, let trades be allowed only when the ratio is between 0.8 and 1.2. These are hypothetical research limits, not a ready-made profitable setting. Their job is to separate the usual level of activity from a sharp change.
For example, the baseline is 0.00050 and the current ATR is 0.00055: the ratio is 1.10, so the filter lets you continue the test. But it does not choose the direction. You still need a false breakout and a candle returning inside the range you marked in advance. If that condition is missing, a suitable ATR does not create a trade out of nothing.
With a baseline of 0.00050 and a current ATR of 0.00085, the ratio is 1.70. For the chosen experiment, the entry is skipped. Don’t widen the limit to 1.8 just because the chart looks tempting. Write down the reason for skipping and watch the outcome separately. You are testing whether the filter is useful, not your ability to justify any urge to press the button.
When both conditions are met, set the same training amount and a fixed expiry on intrade.bar in advance, for example 10 minutes in Sprint. Write down the payout percentage shown. If the market speeds up after the trade opens, don’t try to “fix” the experiment with a series of extra trades: they will have different entry prices and their own risk.
How to evaluate the results of such a filter
In a separate spreadsheet, record the time, the ATR, the comparison baseline, the ratio, the state of the price signal and the reason for entering or skipping. After expiry, add the trade result. The intrade.bar history and CSV export help you reconcile the trades you made, but you need to record the indicator values and explanations yourself: the statistics have no ready-made tags for your ATR filter.
On your training data, compare the signal’s results inside the chosen regime and outside it. Look not only at the win rate but also at the number of observations, losing streaks and the actual payout percentages. A filter that leaves two winning trades out of a hundred setups has not yet proven its worth.
Separately, test another period without changing the limits. If the effect disappears, the original sample may have been luck, or conditions may have changed. That is a useful conclusion: it is more accurate than the belief that you have found the “perfect ATR.” The indicator has a modest but necessary job — to show how much the current market resembles the one you tested your rules on.
How to use the measurement without overcomplicating things
Don’t turn a rising ATR into a command to buy, or a falling one into a promise of an imminent breakout. Don’t increase the amount just because the candles have got wider. In a digital trade, extra movement in your direction does not increase the payout percentage set in advance, while the urge to take part in every spike does increase the number of risky decisions.
Devote your first session on the intrade.bar demo to observation: mark a calm stretch, a spike and the return of activity to its normal level. Then repeat the same price scenario with the filter you wrote down. After this exercise, ATR stops being a mysterious line under the chart and becomes a clear gauge of the conditions you are working in.
Questions and answers
Does ATR show whether price is rising or falling?
No. The formula uses distances. Direction is determined from price and your chosen scenario; ATR helps you gauge the scale of recent swings.
Why is ATR different in two terminals?
Compare the source, the instrument, the timeframe, the period, the smoothing and the history. When applying it on intrade.bar, it is important to match your analysis data with the feed of the chosen asset.
Does a high ATR mean a bigger profit on a digital option?
No. A trade’s payout percentage is known before you enter. How far price moves after opening does not increase that percentage and does not guarantee the price you need at expiry.
Which period is best to start with?
You can study the common ATR 14, stating the timeframe and smoothing in advance. Its popularity does not prove it works. Unchanging settings and a clear test are more useful than constantly switching periods.
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