Skip to main content

Volumes & Their Significance

Why volume confirms price action, the volume-trend relationship table, and how to use volume as a trading filter.

01

Why Volume Matters

Volume is the total number of shares traded during a given period. On any NSE chart, the vertical bars sitting below the price candles represent volume. Each bar tells you how many shares changed hands that day.

Why should a swing trader care? Because volume reveals the conviction behind a price move. A stock can rally 3% on a random Tuesday, but if only a handful of shares were traded, the move carries little weight. Institutional traders, mutual funds, and FIIs move serious quantities when they are genuinely accumulating or distributing a stock. Their footprint shows up in volume.

Think of volume as the crowd's voice. A solitary person shouting in an empty room is easy to ignore. But when an entire stadium roars, you pay attention. Price tells you the direction; volume tells you whether the market truly believes in that direction.

  • High volume on an up-move: Strong institutional buying, more likely to sustain.
  • Low volume on an up-move: Retail-driven or speculative, treat with caution.
  • High volume on a down-move: Aggressive selling, possibly panic or institutional exit.
  • Low volume on a down-move: Mild profit-booking, the downtrend may be losing energy.
Tip
On NSE, volume data is available on every free charting platform — TradingView, Chartink, and even the NSE website itself. Always keep volume visible on your charts; never analyse price in isolation.
02

The Volume-Trend Relationship

This is the single most important table in volume analysis. Memorise it. Every time you look at a chart, mentally map the day's price action and volume to one of these four scenarios.

PriceVolumeSignalWhat It Means
UpUpBullishInstitutions are buying aggressively. The rally has conviction and is likely to continue.
UpDownCautionPrice is rising but participation is dropping. The rally is losing steam and may stall or reverse.
DownUpBearishHeavy selling pressure. Smart money may be exiting. Expect further downside.
DownDownCautionSelling is happening on low participation. The downtrend may be exhausting — watch for a reversal.

Consider TATASTEEL during a recent rally. Over three consecutive sessions, the stock moved from Rs.125 to Rs.134. On Day 1, volume was 1.8x the 10-day average. On Day 2, it was 2.1x. On Day 3, it dropped to 0.7x. The first two days confirmed strong buying interest. But the third day — price still up but volume collapsing — was the signal that the rally was running out of fuel. Traders who recognised the price up, volume down pattern on Day 3 avoided chasing at the top.

Note
This table is a framework, not a guarantee. Always combine volume analysis with candlestick patterns and support/resistance levels before making a trade decision.
03

Interpreting Volume in Practice

Saying "high volume" or "low volume" is meaningless without a benchmark. The standard approach is to compare today's volume against the 10-day average volume. This gives you a rolling baseline that adjusts to the stock's recent activity.

  • Valid signal: Today's volume is at or above the 10-day average.
  • Weak signal: Today's volume is below the 10-day average — treat any price move with scepticism.
  • Strong signal: Today's volume is 1.5x to 2x the 10-day average — the move carries serious conviction.

Let us walk through two real scenarios:

Scenario A: SBIN Breakout (Confirmed)

SBIN had been consolidating between Rs.600 and Rs.620 for nearly three weeks. Its 10-day average volume was around 1.2 crore shares. On the breakout day, the stock closed at Rs.628, decisively above the Rs.620 resistance, and volume surged to 2.4 crore shares — exactly 2x the average. This kind of volume expansion on a breakout tells you that institutions are participating, not just retail traders chasing the move. A trader who entered at Rs.622-625 with a stoploss below Rs.610 had a high-conviction setup.

Scenario B: ITC Breakout (Suspect)

ITC had been hovering around Rs.445-450 for two weeks. Its 10-day average volume was approximately 1.5 crore shares. One morning, the stock opened above Rs.450 and traded up to Rs.456. However, the day's volume came in at only 0.9 crore shares — well below average. The breakout lacked conviction. Within two sessions, ITC slipped back to Rs.447, trapping traders who bought the breakout. Without volume confirmation, the breakout was unreliable.

Caution
A breakout on below-average volume is one of the most common traps in trading. Always wait for the volume confirmation bar before committing capital.
04

Volume + Candlestick Patterns

Candlestick patterns gain or lose significance based on the volume behind them. A pattern that forms on high volume is far more trustworthy than the same pattern on thin volume.

PatternLow VolumeHigh Volume
Bullish EngulfingWeak signal — may failStrong buy signal — institutions are stepping in
Bearish EngulfingMight be a temporary dipAggressive sell signal — heavy distribution underway
Hammer at SupportTentative recovery — wait for next dayReliable reversal — buyers defended the level decisively
Doji after a RallyMinor pause — trend may continueSignificant indecision — possible reversal brewing

Imagine MARUTI forms a bullish engulfing at a strong support of Rs.10,800. If the volume on that engulfing candle is 1.5x the 10-day average, you have a high-quality setup: the pattern says reversal, the support level gives you a stoploss, and the volume confirms participation. All three boxes are checked.

But the same bullish engulfing on volume that is half the average? The pattern is there, the support is there, but the conviction is missing. You might still take the trade, but with reduced position size and tighter expectations.

Note
For delivery-based swing trades, look at the delivery volume percentage, not just traded volume. On NSE, a high delivery percentage (above 50-60%) means traders are actually taking delivery of shares, not just squaring off intraday positions. This is a stronger signal of genuine accumulation. You can find delivery data on the NSE bhavcopy or platforms like Chartink.
05

Updating the Checklist

We have been building a practical trading checklist throughout this module. In earlier chapters, we added candlestick pattern recognition and support/resistance confirmation. Now we add the third filter: volume validation.

#Checklist ItemPurposeStatus
1Recognisable candlestick patternIdentifies a potential trade setupAdded (Ch. 3-7)
2Support/Resistance confirms stoploss placementDefines risk and validates the pattern locationAdded (Ch. 8)
3Volume is at or above the 10-day averageConfirms conviction behind the price moveAdded now

From this point forward, every potential trade must pass all three filters. If a stock shows a beautiful hammer at strong support but volume is below average, it scores only 2 out of 3 — you either skip the trade or reduce your position size significantly.

  • A setup that passes all 3 checks deserves full position sizing (1-2% risk of total capital).
  • A setup that passes only 2 checks deserves a reduced position (0.5% risk or less).
  • A setup that fails 2 or more checks should be avoided entirely.
Tip
Write down this checklist and tape it next to your screen. Before placing any trade, run through each item. It takes 30 seconds and can save you from impulsive, low-quality trades.
Key Takeaways
  • Volume is the total number of shares traded in a session — it measures the conviction behind a price move.
  • Price up with volume up is bullish; price up with volume down is a warning sign that the rally may stall.
  • Use the 10-day average volume as your benchmark — any signal on below-average volume is suspect.
  • Candlestick patterns are significantly more reliable when backed by above-average volume.
  • The trading checklist now has three items: pattern, support/resistance, and volume confirmation.
Disclaimer

This content is for educational purposes only. swingcapital is not a SEBI-registered advisor. Consult a qualified financial advisor before making investment decisions.