Bollinger Bands: Squeeze, Breakouts and Mean Reversion

Bollinger Bands Explained for Indian Traders

Bollinger Bands are one of the most widely used volatility tools in technical analysis, and once you understand them you start to read price charts in a completely new way. At their heart, Bollinger Bands wrap a simple moving average inside two lines that expand and contract with volatility. When the market is calm, the bands pull in tight. When the market gets excited, the bands flare out wide. That single visual idea, volatility made visible, is why traders on the NSE and BSE keep them on almost every chart.

This guide is written for Indian retail traders who want a clear, practical understanding of Bollinger Bands rather than a pile of jargon. We will build the bands from scratch, learn to read the squeeze and the expansion, ride strong trends by walking the band, and fade the extremes when the market is range bound. Along the way we will add RSI and volume for confirmation, and work through concrete rupee examples on NIFTY, BANKNIFTY, Reliance and HDFC Bank.

One thing to keep in mind from the start. Bollinger Bands do not predict the future. They describe the present condition of the market, whether it is quiet or volatile, stretched or balanced. Your job is to combine that reading with price structure, confirmation and disciplined risk control. Everything here is for education and for practice on a paper trading platform. It is not financial advice, and you should test every idea on simulated trades before you risk real capital.

How Bollinger Bands Are Built: The 20 SMA and Two Standard Deviations

Bollinger Bands have three lines. The middle line is a simple moving average, and by default it uses the last 20 closing prices. A 20 period average on a daily chart roughly covers one trading month, which is why it became the standard. The middle band is the fair value anchor, the centre of gravity that price tends to drift away from and then return to.

The two outer lines are where the real information sits. They are placed a fixed number of standard deviations above and below the middle band, and the default is two standard deviations. Standard deviation is simply a measure of how spread out the recent prices are around their average. If the last 20 closes are bunched together, the standard deviation is small and the bands sit close to the average. If the closes are jumping around, the standard deviation is large and the bands push far apart.

So the upper band is the 20 period average plus two standard deviations, and the lower band is the same average minus two standard deviations. Because the outer bands are driven by standard deviation, they react automatically to volatility. You never have to adjust them by hand. When a results season storm hits a stock, the bands widen on their own. When the market drifts sideways before a holiday, they tighten on their own.

It helps to know roughly how much price action the bands are designed to contain. If returns behaved like a perfectly normal bell curve, about 95 percent of recent closes would fall inside two standard deviations. Markets are not perfectly normal, they have fat tails and surprise gaps, so in practice somewhat less is contained and prices close outside the bands more often than pure statistics predict. This is exactly why an envelope built from a fixed percentage, say five percent above and below the average, is inferior. A fixed envelope cannot tell calm markets from wild ones, while standard deviation bands breathe with the market and treat a quiet phase and a panic very differently.

Here is a small worked example so the maths feels real. Imagine five closing prices of 100, 102, 98, 101 and 99. The average is 100. The differences from the average are 0, 2, minus 2, 1 and minus 1. Square them to get 0, 4, 4, 1 and 1, which add up to 10. Divide by 5 to get a variance of 2, and the square root of 2 is about 1.41. That is your standard deviation. Two standard deviations is about 2.83, so the upper band sits near 102.83 and the lower band near 97.17. Real Bollinger Bands use 20 values instead of five, but the recipe is exactly the same.

Reading the Bands: Bandwidth and Percent B

Two helper readings turn Bollinger Bands from a pretty picture into a measurable tool. The first is Bandwidth. Bandwidth is the distance between the upper and lower band divided by the middle band, usually shown as a percentage. It answers one question: how wide are the bands right now compared with their own history? Suppose NIFTY has an upper band at 25,200, a lower band at 24,800 and a middle band at 25,000. The width is 400 points, and 400 divided by 25,000 is 0.016, or about 1.6 percent. On its own that number means little. Compared with the last few months of Bandwidth readings, it tells you whether the market is unusually calm or unusually stretched.

The second helper is Percent B, written as %B. Percent B tells you where the current price sits inside the bands. It is the price minus the lower band, divided by the upper band minus the lower band. A reading of 1.0 means price is exactly on the upper band, 0.0 means price is exactly on the lower band, and 0.5 means price is sitting on the middle average. If NIFTY trades at 25,100 with the lower band at 24,800 and the upper band at 25,200, then %B is 300 divided by 400, which is 0.75. Price is three quarters of the way up the channel.

A single Bandwidth number is most useful when you rank it against its own past. Many traders look at where today Bandwidth sits as a percentile of the last six months, so a reading in the bottom tenth flags a genuine squeeze while a reading in the top tenth flags an exhausted, over stretched market. The same logic applies to Percent B. By keeping these two readings on screen as a lower panel, you turn a vague impression that the bands look tight or wide into a precise, repeatable measurement you can write into a trading plan. Numbers you can rank are numbers you can trust.

Why bother with these numbers? Because they let you compare conditions across instruments and across time without eyeballing the chart. A Bandwidth sitting at a six month low is a real, countable squeeze, not a guess. A %B above 1.0 means price has closed outside the upper band, a genuine sign of strength or exhaustion depending on context. Most charting tools on Indian broker platforms expose both Bandwidth and %B, so you can add them as a lower panel under the price.

The Bollinger Band Squeeze: When Volatility Coils

The Bollinger Band squeeze is the single most famous setup that comes from this indicator. A squeeze happens when volatility falls so far that the bands contract into a narrow ribbon. Visually the upper and lower bands come together and almost hug the middle average. In Bandwidth terms, the reading drops to a multi week or multi month low. The market is coiling, like a spring being compressed.

The squeeze matters because markets cycle between quiet and active phases. A long period of low volatility is almost always followed by a period of high volatility. Buyers and sellers reach a temporary truce, positions build up, and then some catalyst, a results announcement, an RBI policy decision, a global cue, breaks the calm. When the bands have been tight for days, an explosive move often follows. The squeeze does not tell you the direction, only that a bigger move is brewing.

To spot a squeeze, watch the Bandwidth line and look for it to fall toward the lowest level it has touched in recent months. On the price chart you will see the candles getting smaller and overlapping inside a flat, narrow band. Many Indian traders watch the NIFTY and BANKNIFTY squeeze closely in the days before a major event, because the index can sit in a tight Bollinger ribbon and then expand violently once the news hits. Patience is the skill here. A squeeze can last longer than you expect, and entering early just because the bands look tight is a common way to lose money.

Breakouts and Expansion: Trading the Release

When a squeeze finally releases, the bands expand. One band turns sharply in the direction of the move while the other often flattens or turns the opposite way. This widening is the expansion phase, and it is the market telling you that volatility has returned. A strong candle that closes well outside the band, backed by rising volume, is the classic breakout signature.

Direction is the hard part. The bands themselves do not point the way out of a squeeze, so you need confirmation from price structure. A break and close above the recent consolidation high, in the same direction as the band expansion, is far more reliable than a single spike. Many traders wait for the breakout candle to close, and some wait for a small retest of the broken level before committing. Combining the breakout with a rising volume bar and a supportive RSI reading filters out a lot of noise.

The retest is worth a closer look because it offers a lower risk entry. After price breaks and closes above the consolidation high, it often pulls back to test that broken level, which now acts as support, before resuming the move. Entering on this retest lets you place a tight stop just below the level, so your risk is small and clearly defined. If the retest fails and price falls back inside the range, you simply stand aside, because the breakout has not proven itself. This patient approach trades a few missed runners for far fewer false starts, which over many trades is a profitable bargain.

Be ready for the head fake. John Bollinger, who developed the indicator, pointed out that price often makes a brief false move in one direction at the end of a squeeze before reversing and running the other way. A candle might poke above the upper band, draw in eager buyers, and then collapse downward as the real move begins. This is why a close beyond the band, rather than a mere touch, and a second confirming candle, save you from many traps. On a paper trading account you can study dozens of squeezes and train your eye to tell a real breakout from a head fake before any real money is involved.

Walking the Band: Riding Strong Trends

One of the biggest mistakes new traders make is to sell every time price touches the upper Bollinger Band, assuming it must be overbought. In a strong trend that is a fast way to get run over. When a stock or index is trending powerfully, price will ride along the outer band for bar after bar. This behaviour is called walking the band, and it is a sign of strength, not weakness. A series of closes that hug or push above the upper band means buyers are firmly in control.

The rule of thumb is simple. In a confirmed uptrend, band touches on the upside are continuation signals, not reversal signals. The same is true in reverse during a downtrend, when price walks the lower band lower. Fading these moves, betting against the trend just because price is at the band, is one of the costliest habits in technical trading. You only fade the bands when the market is clearly range bound, which we cover next.

Knowing when a band walk is ending is just as valuable as riding it. One classic warning is the M top, where price makes a high that pushes to or outside the upper band, pulls back, and then makes a second high that fails to reach the band even though the price itself may be similar or slightly higher. That failure to tag the band on the second push shows momentum is fading. A close back below the middle band soon after confirms the trend is in trouble. Spotting this pattern lets you tighten stops or take profits before the crowd realises the easy part of the trend is over.

During a trend, shift your attention from the outer band to the middle band. The 20 period average acts as dynamic support in an uptrend and dynamic resistance in a downtrend. Healthy trends pull back to the middle band and bounce, while the outer band marks the stretched edge of the move. A break and close back through the middle band is an early warning that the trend may be losing steam. Using the middle band as your trailing reference keeps you in winning trends far longer than staring at the outer band ever will.

Mean Reversion in Ranges: Fading the Extremes

Bollinger Bands have a second personality that is the opposite of trend riding. When a market is range bound, moving sideways with no clear direction, the bands tend to act like a rubber band. Price stretches to the upper band, runs out of buyers, and snaps back toward the middle. Then it stretches to the lower band, runs out of sellers, and snaps back up again. This is mean reversion, and it is the bread and butter of range traders.

The key is to confirm that you are actually in a range before you fade the bands. The clearest sign is a flat, horizontal middle band. When the 20 period average is sloping steeply, you are in a trend and should not fade the bands. When the middle band is roughly flat and price has been oscillating between the outer bands for a while, the mean reversion playbook applies. Many traders also check that Bandwidth is in a normal range, neither in a tight squeeze nor blowing out in an expansion.

The mirror image at the bottom of a range is the W bottom, one of John Bollinger signature patterns. Price makes a low that tags or pierces the lower band, bounces, and then makes a second low that holds above the band, often with a higher Percent B reading, before turning up. That second low refusing to reach the band is a quiet sign that sellers are exhausted. When you do catch a clean reversion trade, consider scaling out: book part of the position at the middle band, your logical first target, and let a smaller runner aim for the opposite band if the range is wide and healthy. Taking something off at the middle protects the trade while keeping upside open.

In a range, a tag of the lower band becomes a candidate buy zone and a tag of the upper band becomes a candidate sell zone, with the middle band as the natural first target. You do not buy blindly at the band. You wait for a sign of rejection, such as a candle with a long lower wick at the lower band, and ideally a supportive RSI reading. Your stop sits just beyond the band, so if price keeps going and the range breaks, you are out quickly and cheaply. The reward to risk works because the move back to the middle is often several times the small risk beyond the band.

Confirming Bollinger Bands with RSI

Bollinger Bands tell you where price sits relative to its recent volatility, but they say nothing about momentum. That is where the Relative Strength Index, or RSI, fits in beautifully. RSI is a momentum oscillator that runs between 0 and 100. Readings above 70 are traditionally called overbought and readings below 30 oversold, though these are guidelines, not automatic buy and sell buttons. Used together, the two indicators answer different questions: the bands ask how stretched is price, and RSI asks how strong is the move.

The classic range trading combination is a band tag plus an RSI extreme. In a sideways market, when price tags the lower Bollinger Band while RSI dips below 30, you have two independent signals agreeing that price is stretched to the downside. That confluence is far stronger than either signal alone. The mirror setup, price tagging the upper band while RSI pushes above 70, flags a stretched upside in a range. Remember the trend filter: in a strong trend, RSI can stay overbought or oversold for a long time as price walks the band, so this combination is for ranges.

There is a neat refinement that combines momentum with Bollinger logic. Some traders apply Bollinger Bands directly to the RSI line itself, so instead of using the fixed 70 and 30 levels they watch when RSI pushes above its own upper band or below its own lower band. This adapts the overbought and oversold idea to current conditions, much as the price bands adapt to volatility. You do not need this refinement to trade well, but it shows the deeper principle: standard deviation bands can wrap almost any series, not just price, to reveal when it has stretched unusually far from its recent norm.

The most powerful RSI clue is divergence. Suppose price makes a new low and tags the lower band, but RSI makes a higher low than it did on the previous dip. That is bullish divergence: price is falling but momentum is fading, a hint that the move is running out of steam. Bearish divergence is the opposite, with price making a higher high at the upper band while RSI makes a lower high. Pairing Bollinger Band tags with RSI divergence is one of the cleaner reversal signals available to a retail trader, and it is easy to study on a paper trading chart.

Confirming Bollinger Bands with Volume

Volume is the fuel behind price, and it is the perfect partner for Bollinger Bands at moments of decision. A breakout from a squeeze that comes with a clear surge in volume is far more trustworthy than one that happens on thin, sleepy trading. Heavy volume means real participation, institutions and large traders stepping in, rather than a few stray orders pushing price around. When the bands expand and volume expands at the same time, the move has conviction behind it.

Volume also helps you read the quieter moments. In a healthy range, a tag of the upper band on falling volume suggests the buyers are getting tired and a snap back toward the middle is likely. A breakout attempt on weak volume is often a head fake waiting to fail. Train yourself to ask one question at every band event: is volume confirming this or contradicting it? That habit alone will keep you out of many low quality trades.

A concrete share example makes the volume rule click. Suppose HDFC Bank has been coiling in a tight Bollinger squeeze and then prints a strong green candle that closes above the upper band while the volume bar towers over the previous twenty sessions. That surge is the market voting with real money, and it lends the breakout credibility. Now imagine the opposite: the same breakout candle but on volume that is below average. That weak participation is a warning that the move may be hollow and prone to fading. On individual shares like HDFC Bank or Reliance you can apply this test directly, candle by candle, because their volume is genuine and reported in real time.

One caveat for Indian index traders. Spot NIFTY and BANKNIFTY do not have their own traded volume in the way a single stock does, because an index is a calculated number. For index work, traders look at the volume of index futures, the open interest in index options, and the activity of the large index constituents and the broader market. For individual shares like Reliance or HDFC Bank, the volume bars under the chart are direct and reliable. So apply the volume confirmation rule literally on stocks, and use futures and options data as the proxy when you are trading the indices.

Worked Example: A NIFTY Bollinger Squeeze and Breakout

Let us walk through a NIFTY squeeze from start to finish with realistic numbers. Imagine NIFTY has spent two weeks drifting between 24,700 and 24,900. The candles are small and overlapping, the bands have pulled in tight, and Bandwidth has fallen to its lowest reading in about three months. This is a textbook squeeze. A trader watching it on a paper trading account does nothing yet, because the squeeze gives no direction. The plan is written in advance: a daily close above 24,900 with rising volume in the futures means go long, and a close below 24,700 means go short.

On the next session NIFTY pushes up and closes at 24,960, clearly above the consolidation high, the upper band flares out, and futures volume jumps. That is the trigger. Index options on NIFTY are cash settled, so the trader expresses the bullish view by buying a NIFTY call option. The lot size for NIFTY is 65, though the exchange revises lot sizes periodically, so always check the latest NSE circular. Suppose a slightly in the money call is trading at a premium of ₹120. One lot therefore costs ₹120 times 65, which is ₹7,800 of premium, plus charges.

Over the next two sessions the breakout follows through and the call premium rises to ₹190. The trader exits. The gain is ₹190 minus ₹120, which is ₹70 per unit, and ₹70 times 65 is ₹4,550 per lot before costs. Costs in India are real and must be subtracted: Securities Transaction Tax applies on the sell side of options, the broker charges brokerage, the exchange charges transaction fees, and 18 percent GST is added on top of brokerage and transaction charges. For a move of this size those costs are usually a modest slice, but you must always net them out, because ignoring costs is how paper profits shrink into thin real profits.

The lesson is in the discipline, not the rupees. The trader defined the squeeze with Bandwidth, refused to guess the direction, waited for a confirmed close with volume, used a defined options position, and exited on follow through. That is the full Bollinger squeeze workflow. On a simulated account you can repeat this loop dozens of times until the pattern is second nature, all without risking a single real rupee.

Worked Example: Reliance Mean Reversion in a Range

Now a mean reversion example on a single stock. Suppose Reliance Industries has been range bound for several weeks, oscillating between roughly ₹1,380 and ₹1,470, with a flat 20 period middle band sitting near ₹1,425. The flat middle band confirms a range, so the mean reversion playbook is valid. The trader plans to buy near the lower band and target the middle band, fading the extreme rather than chasing a breakout.

Price drifts down and tags the lower band near ₹1,385, printing a candle with a long lower wick that shows sellers were rejected. At the same time RSI dips to about 32, an oversold reading, and importantly RSI is making a higher low than on the previous dip, a small bullish divergence. Three things now agree: a band tag, a rejection candle and supportive momentum. The trader buys 100 shares at ₹1,385 in the cash segment, placing a stop just below the range at ₹1,368 so the risk is tightly defined at about ₹17 per share.

Over the next few sessions Reliance reverts toward the middle band and the trader exits near ₹1,425. The gain is ₹40 per share, and ₹40 times 100 shares is ₹4,000 gross. Because this is a delivery trade in the cash segment, Securities Transaction Tax applies on both the buy and the sell, brokerage and exchange charges apply, and 18 percent GST sits on top of those charges. Indian equity delivery now settles on a T plus 1 basis, so the shares and funds settle one working day after the trade. The risk of about ₹17 against a reward of about ₹40 gives a reward to risk near 2.3 to 1, which is the kind of edge that makes range trading worthwhile.

Notice what made this trade clean: a confirmed range, a precise entry at the band with two confirmations, a stop just beyond the band, and a logical target at the middle. If price had instead broken below ₹1,368, the stop would have taken the trader out for a small, planned loss, and the range trade would simply be abandoned because the range was no longer valid. That willingness to be wrong cheaply is what separates durable traders from gamblers.

Worked Example: BANKNIFTY Walking the Band

For a trend example, consider BANKNIFTY in a strong uptrend. Day after day the index closes near the upper band, pulling back only to the middle band before pushing higher. This is walking the band, and it tells the trader not to fade the strength. Instead of shorting at the upper band, the plan is to buy pullbacks toward the middle band in the direction of the trend. Suppose BANKNIFTY pulls back to its middle band near 53,200 and then turns up with a strong bullish candle.

BANKNIFTY index options are cash settled and the lot size is 30, and remember that lot sizes are revised by the exchange from time to time, so check the latest NSE circular before you trade. The trader buys a call option to ride the next leg up. Imagine the call is trading at a premium of ₹150 when BANKNIFTY bounces off the middle band. The trend resumes, the index walks the upper band again, and the premium climbs to ₹230. Exiting there gives ₹80 per unit, and ₹80 times 30 is ₹2,400 per lot before costs. The same Indian charges apply: Securities Transaction Tax on the sell side, brokerage, exchange fees and 18 percent GST on those charges.

A word on expiry. NIFTY is now the only NSE index that still has weekly options, and since 1 September 2025 the NIFTY weekly contract expires on a Tuesday, while the monthly contract expires on the last Tuesday of the month. BANKNIFTY weekly options were discontinued in November 2024, so BANKNIFTY trades on a monthly cycle only, also expiring on the last Tuesday. This matters for Bollinger strategies because option premiums lose value to time decay, known as theta, and that decay accelerates as expiry nears. A squeeze breakout that you expect to play out over several days can be eaten away by theta if you buy a near expiry option. Many traders prefer options with more time left on the clock for swing style Bollinger trades, and reserve the very short dated weekly NIFTY contracts for fast intraday moves. Always match the option you choose to the speed of the move you expect.

Common Mistakes and False Signals

Bollinger Bands are simple to plot and easy to misuse. Most losing trades come from a handful of repeatable errors, and knowing them in advance is half the battle. Here are the mistakes that catch traders most often.

The single most expensive mistake is fading a trending market. When price is walking the upper band higher, a trader who keeps shorting because price looks high will bleed on every push. The discipline is to read the slope of the middle band first. If it is steep, you are in a trend and you trade with it. If it is flat, you are in a range and you can fade the extremes. Get that one decision right and most of the other mistakes take care of themselves.

• Selling every upper band touch and buying every lower band touch, even in a strong trend. In a trend, band touches are continuation signals, not reversals.
• Treating a band touch as a complete signal. A touch is a location, not a trade. You still need confirmation from price action, RSI or volume.
• Entering a squeeze too early. A tight band can stay tight for many sessions. Wait for the expansion and a confirmed close.
• Ignoring the head fake. Price often spikes the wrong way at the end of a squeeze before the real move begins.
• Forgetting transaction costs. STT, brokerage, exchange fees and 18 percent GST quietly reduce every result, especially on small or frequent trades.
• Using the same settings everywhere. The default 20 period and two standard deviations is a starting point, not a law.
• Pairing a multi day directional view with a near expiry option, letting theta destroy a correct call before the move plays out.

Settings, Timeframes and Customisation

The default Bollinger Band settings are a 20 period simple moving average with bands set at two standard deviations. These defaults were chosen carefully and they work well across most markets and timeframes, which is why you should master them before changing anything. A common beginner trap is to tweak the settings endlessly in search of a perfect fit, a habit called curve fitting that produces results which look great on past data and fail in real time.

If you do adjust, change one thing at a time and have a reason. Some traders widen the bands to 2.5 standard deviations on very volatile instruments so that only truly extreme moves tag the band. Others lengthen the average to 50 periods for a slower, smoother read on longer term charts. The general principle is that if you lengthen the moving average you may need to raise the number of standard deviations slightly, and if you shorten it you may need to reduce them, to keep the bands behaving sensibly. The defaults remain the best general purpose choice.

Timeframe matters as much as settings. On a daily chart, a 20 period average covers about a month and suits swing trading over days to weeks. For intraday trading on a 5 minute or 15 minute chart, the same 20 period bands react to the rhythm of the session, and squeezes can form and release within a single day. Indian intraday traders often watch the 5 minute NIFTY and BANKNIFTY bands around the volatile opening hour and again near the close. Whatever timeframe you choose, keep your analysis on it. Mixing signals from many timeframes without a clear plan creates confusion, not clarity.

Costs, Risk and Position Sizing in India

No trading method survives contact with the market unless it respects costs and risk. In India, every trade carries a stack of charges. Securities Transaction Tax applies on equity delivery on both sides, and on the sell side for intraday and options. On top of brokerage and exchange transaction charges sits 18 percent GST. There is also stamp duty and regulatory fees. None of these are large on a single trade, but they compound across a busy month, so frequent Bollinger scalping needs a bigger edge than slower swing trading to stay profitable.

Position sizing is where most accounts are saved or destroyed. A simple, robust rule is to risk only a small fixed fraction of your capital on any single trade, often quoted as one to two percent. If your account is ₹2,00,000 and you risk one percent, your maximum loss on a trade is ₹2,000. The distance from your entry to your stop, multiplied by your quantity, must not exceed that figure. This single rule forces your trade size to shrink when your stop is far and grow when your stop is tight, which is exactly the right behaviour.

Bollinger Bands make stop placement natural. In a mean reversion trade you place the stop just beyond the band you entered against, because if price keeps running past the band, your range thesis is wrong. In a trend trade you can trail your stop under the middle band, exiting when price closes back through it. Define the stop before you enter, size the position so the loss at that stop is within your fixed risk, and never widen a stop once the trade is live. These habits, practised first on a paper trading account, are what let a good indicator actually make money.

Putting It Together: A Bollinger Bands Checklist

Bollinger Bands reward traders who follow a process. Before you act on any band signal, run through a short checklist so that emotion never makes the decision for you.

Bollinger Bands are not a crystal ball. They are a clear, honest picture of volatility and of where price sits relative to its recent range. Used well, they tell you when to be patient during a squeeze, when to ride a trend by walking the band, and when to fade the extremes in a range. Combined with RSI, volume and strict risk control, they form a complete and durable framework that works on NIFTY, BANKNIFTY and individual shares alike.

Finally, remember that skill comes from repetition in a safe environment. Study real charts, mark the squeezes, the expansions and the band walks, and practise the full workflow on a paper trading platform until the decisions feel automatic. This article is for education and not financial advice. Markets carry risk, and your goal is to build a disciplined process that protects your capital first and grows it second.

• Is the middle band sloping or flat? Sloping means trend, flat means range. This decides whether you ride or fade.
• What is Bandwidth telling you? A multi month low is a squeeze, a wide reading is an expansion.
• Where is price inside the bands? Use %B to be precise rather than guessing.
• Is there confirmation? Look for a rejection candle, a supportive RSI reading or divergence, and matching volume.
• Is the breakout a real close beyond the band, or just a touch that could be a head fake?
• What is the stop, the target and the risk in rupees? Size the position so the loss at the stop stays within your fixed risk.
• Do the costs leave a worthwhile edge after STT, brokerage and GST?

The bands show you the weather, but you still choose when to step outside.

Frequently asked questions

What are Bollinger Bands in simple terms?

Bollinger Bands are three lines plotted on a price chart. The middle line is a 20 period moving average, and the upper and lower lines sit two standard deviations above and below it. Because the outer lines are based on standard deviation, they widen when the market is volatile and narrow when it is calm, giving you an instant read on volatility.

What is the best Bollinger Bands setting for trading?

The standard setting is a 20 period simple moving average with bands at two standard deviations, and it works well across most markets and timeframes. Master the defaults before changing them. If you trade very volatile instruments you might widen the bands slightly, and for slower charts you might lengthen the average, but constant tweaking usually does more harm than good.

What is a Bollinger Band squeeze?

A squeeze is when the bands contract into a narrow ribbon because volatility has dropped to a multi week or multi month low. It signals that the market is coiling and a larger move is likely to follow. The squeeze does not reveal the direction, so traders wait for a confirmed breakout with volume before taking a position.

Do Bollinger Bands work for intraday trading in India?

Yes. The same 20 period and two standard deviation settings work on 5 minute and 15 minute charts, and squeezes can form and release within a single session. Many Indian intraday traders watch the NIFTY and BANKNIFTY bands around the volatile opening hour. Just remember that costs and time decay matter more on frequent intraday trades, so the edge must be larger.

Should I buy whenever price touches the lower Bollinger Band?

No. A band touch is a location, not an automatic buy. In a strong downtrend price can walk the lower band lower for a long time, so buying there fights the trend. Only fade the lower band when the middle band is flat and the market is range bound, and even then wait for a rejection candle, a supportive RSI reading and a sensible stop.

Bollinger Bands or RSI: which is better?

They answer different questions, so they are best used together rather than one instead of the other. Bollinger Bands show how stretched price is relative to its recent volatility, while RSI measures momentum. A band tag that lines up with an RSI extreme or a momentum divergence is a far stronger signal than either tool alone.

Can Bollinger Bands predict breakouts?

Bollinger Bands cannot predict the exact timing or direction of a breakout, but a squeeze reliably warns that volatility is about to expand. Think of it as a weather forecast for movement rather than a precise call. You confirm the actual breakout with a close beyond the band and rising volume, and you guard against the false move known as the head fake.

Are Bollinger Bands useful for options trading on NIFTY and BANKNIFTY?

Yes, they are popular for index options because they highlight squeezes before big moves and trends worth riding. Since NIFTY and BANKNIFTY options are cash settled, traders express a Bollinger signal by buying or spreading calls and puts. Match the expiry to your expected holding time, because time decay can erode a correct directional view if you use very short dated contracts.