Free Ebook cover Technical Analysis Foundations: Charts, Trends, Support/Resistance, and Indicators

Technical Analysis Foundations: Charts, Trends, Support/Resistance, and Indicators

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Technical Analysis Foundations: Volume Basics and Confirmation vs. Noise

Capítulo 4

Estimated reading time: 9 minutes

+ Exercise

Volume as Context: What It Can (and Can’t) Tell You

Volume measures how much of an asset changed hands during a period. In technical analysis, treat volume as context that can support (or weaken) a price-based idea—rather than a standalone “buy/sell” trigger. Price shows direction and location; volume helps you judge participation and commitment behind that move.

Two practical implications follow:

  • Volume is confirmatory, not predictive. It can increase or decrease confidence in a price interpretation, but it does not guarantee what happens next.
  • Volume is comparative. A single bar means little by itself; it becomes useful when compared to a baseline (recent bars, typical session behavior, or a relative-volume measure).

Confirmation vs. Noise

“Confirmation” means volume behavior is consistent with the story price is telling (e.g., strong participation on a breakout). “Noise” is volume that looks dramatic but is not meaningful in context (e.g., an off-hours spike, a news-driven print that reverses immediately, or a single high-volume bar inside a choppy range).

Baseline Volume Reading: Spikes, Dry-Ups, and Relative Volume

1) Establish a Baseline

Before interpreting any bar, define what “normal” looks like for the instrument and timeframe you trade.

  • Simple baseline: compare current volume to the last 20–50 bars on the same timeframe.
  • Session-aware baseline (intraday): compare to the typical volume at that time of day (open and close often have structurally higher volume).
  • Relative Volume (RVOL): current volume divided by average volume for that period. Example: if the current 30-minute bar has 150k shares and the average 30-minute bar has 100k, RVOL = 1.5.

2) Volume Spikes

A spike is volume that is meaningfully above baseline (often 1.5–3.0× typical, depending on the asset). Spikes can indicate:

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  • Initiation: new participants entering (often near breakouts, breakdowns, or major news).
  • Climax: a late-stage surge that can precede exhaustion (especially if price fails to continue after the spike).
  • Absorption: heavy volume with limited price progress can imply strong opposing interest (buyers and sellers matching aggressively).

Key habit: do not label a spike as “bullish” or “bearish” without checking what price did during and after the spike.

3) Volume Dry-Ups

A dry-up is volume that falls well below baseline. Dry-ups often mean:

  • Low participation: fewer traders are willing to transact at current prices.
  • Reduced opposition: pullbacks with shrinking volume can indicate sellers are not pressing aggressively.
  • Indecision: in some markets, low volume can also mean “nobody cares,” which can precede a sharp move in either direction once participation returns.

Dry-ups are most useful when they occur in a logical place in the price structure (e.g., during a pullback in an uptrend) and are followed by renewed volume on the next impulse.

4) Relative Volume as a Filter

Relative volume helps you avoid overreacting to “big-looking” bars that are actually normal for that instrument. Use RVOL as a quick sanity check:

  • RVOL < 0.8: below typical participation (signals may be less reliable).
  • RVOL ~ 1.0: normal participation.
  • RVOL > 1.5: elevated participation (moves may be more meaningful, but also more volatile).

Volume in Trends: Expansion on Impulse, Contraction on Pullback

In many trending environments, volume tends to expand on impulse legs (moves in the trend direction) and contract on pullbacks (counter-trend pauses). This is not a rule—just a common tendency that can improve your read of trend quality.

Step-by-Step: How to Evaluate Trend Quality with Volume

  1. Mark impulse legs and pullbacks on your chart (you’re not redefining trend here—just separating “push” vs. “pause”).
  2. Compare average volume across impulse bars vs. pullback bars over the last few swings.
  3. Look for consistency: repeated expansion on pushes and contraction on pullbacks supports the idea that the trend has participation.
  4. Watch for deterioration: impulses that occur on declining volume, or pullbacks that occur on rising volume, can signal weakening trend pressure.

Interpretation Examples

  • Healthy uptrend behavior: upswings show higher-than-baseline volume; pullbacks show lower-than-baseline volume; breakouts to new highs attract participation.
  • Potentially weakening uptrend behavior: upswings show average or declining volume; pullbacks show increasing volume; attempts to push higher repeatedly fail to attract new participation.

Important nuance: in some instruments (especially index futures or large FX pairs), volume may not “look” dramatic even during strong trends. In those cases, focus more on relative changes (RVOL shifts) than absolute spikes.

Volume Around Key Levels: Breakout Participation vs. False Breaks

Volume becomes especially informative when price is interacting with widely watched areas (prior highs/lows, consolidation boundaries, or other obvious decision points). The goal is not to “predict” the breakout, but to judge whether the move is attracting broad participation or merely probing.

Breakout Participation (Healthier Behavior)

  • Pre-breakout: volume may compress during consolidation (a “quiet” base), showing reduced churn.
  • At breakout: volume expands above baseline (often RVOL > 1.5), indicating participation.
  • After breakout: follow-through bars maintain at least average volume; pullbacks (if any) show lighter volume than the breakout bar.

False Breaks (Weaker Behavior)

  • At breakout: price pushes beyond the boundary but volume is flat or below baseline, suggesting limited participation.
  • Immediate reversal: the next bar(s) reverse back into the range, sometimes on increased volume (trapped participants exiting).
  • Chop signature: multiple breakout attempts with no sustained volume expansion can indicate a “liquidity hunt” environment rather than a genuine expansion.

Side-by-Side Examples: Same Price Pattern, Different Volume Story

The examples below use the same price pattern (a consolidation followed by an attempted breakout). The difference is volume behavior and what it implies about participation.

FeaturePattern A: Healthy Volume BehaviorPattern B: Weak Volume Behavior
Consolidation phaseVolume gradually dries up; fewer large spikes; range tightensVolume is erratic; frequent spikes without progress; choppy bars
Breakout barClear volume expansion vs. baseline (e.g., RVOL 1.8–2.5)Breakout occurs on average/low volume (e.g., RVOL 0.9–1.1)
Next 1–3 barsFollow-through continues with at least average volume; pullback volume stays lighterPrice stalls quickly; reversal back into range; reversal volume increases
InterpretationParticipation supports the price move; higher probability of continuation (not guaranteed)Move may be a probe/false break; higher probability of failure or chop
Practical actionPrefer entries that align with the breakout + participation; manage risk normallyDemand additional evidence (e.g., retest holding with improved volume) or reduce size/skip

Micro-Example: Same Candle Shape, Different Meaning

Imagine two identical bullish breakout candles (same open/high/low/close). The only difference is volume:

  • Case 1 (supportive): the candle prints on 2× baseline volume and is followed by another up-close bar on above-average volume. Interpretation: participation is present; the breakout story is coherent.
  • Case 2 (suspect): the candle prints on 0.9× baseline volume and is followed by a bearish engulfing candle on 1.7× baseline volume. Interpretation: the breakout lacked participation and then attracted strong opposition; failure risk is higher.

Common Pitfalls (and How to Avoid Them)

Pitfall 1: Assuming Volume Means the Same Thing Across Asset Classes

  • Stocks/ETFs: centralized exchange volume is generally reliable, but watch for split-adjustments, corporate actions, and changes in float over time.
  • Futures: volume is centralized per contract, but rolls can shift activity from one contract month to another; compare volume within the active contract and be aware of roll periods.
  • Spot FX: there is no centralized volume; many platforms show tick volume (number of price updates). Tick volume can correlate with activity but is not identical to traded volume; treat it as a rough participation proxy.
  • Crypto: volume can vary by exchange and may include wash trading on some venues; aggregated volume is better than single-exchange volume, and context matters heavily.

Pitfall 2: Distorted Data (Off-Hours, Session Effects, and One-Off Events)

  • Off-hours effects (stocks): premarket/after-hours volume is structurally different (thinner liquidity, wider spreads). A “spike” there may not be comparable to regular-session volume.
  • Open/close distortions: the first and last parts of a session often have naturally higher volume; compare to the same time-of-day baseline, not midday averages.
  • Event-driven bars: earnings, macro releases, or exchange outages can create abnormal prints. A single event bar can dominate averages; consider using median volume or excluding outliers when forming a baseline.

Pitfall 3: Over-Interpreting a Single Bar

A single high-volume bar can mean accumulation, distribution, absorption, or simply a news reaction. Without follow-through, it’s often ambiguous. Train yourself to ask: “Did price continue in the expected direction after the bar?”

Pitfall 4: Treating Volume Confirmation as Certain

Volume confirmation is probabilistic because:

  • Large participants can execute over time (not all at once), muting visible spikes.
  • Algorithms can create volume without directional intent (market making, hedging).
  • Breakouts can succeed on moderate volume if supply is thin, and fail on high volume if opposition is stronger.

Use volume to adjust confidence and risk management, not to remove uncertainty.

Practical Workflow: A Repeatable Volume Read

Step-by-Step Routine (60–90 seconds per chart)

  1. Identify the “decision moment” you care about (impulse vs. pullback, breakout attempt, or test of a boundary).
  2. Check the baseline (last 20–50 bars; time-of-day if intraday).
  3. Compute a quick RVOL estimate (mentally or with an indicator).
  4. Compare impulse vs. pullback volume over the last few swings: is participation aligned with the dominant direction?
  5. Look for follow-through after any spike: continuation supports the move; immediate reversal suggests trap/absorption.
  6. Scan for distortions (off-hours, roll period, news bar, exchange anomaly).

Checklist: Avoid Over-Interpreting Single Bars

  • Baseline first: Is this bar actually unusual vs. recent typical volume and time-of-day norms?
  • Relative, not absolute: What is RVOL (or a simple comparison to the last 20–50 bars)?
  • Location matters: Is the volume occurring at a meaningful decision point (breakout attempt, impulse leg, pullback)?
  • Impulse vs. pullback: Is volume expanding in the direction of the move and contracting against it?
  • Follow-through test: What do the next 1–3 bars do? Continuation or immediate reversal?
  • Distortion check: Off-hours, open/close effects, contract roll, news/event bar, or questionable venue data?
  • One-bar humility: Can you explain at least two plausible interpretations of the same volume bar? If yes, wait for confirmation from subsequent price action.
  • Probabilistic framing: Does volume increase confidence enough to justify the trade’s risk, or is it merely interesting?

Now answer the exercise about the content:

When evaluating whether a breakout is more likely to be meaningful participation rather than noise, which volume behavior best supports the breakout story?

You are right! Congratulations, now go to the next page

You missed! Try again.

A healthier breakout is supported when volume is comparative and confirmatory: quiet consolidation, expansion on the breakout, and continued participation on follow-through with lighter pullback volume.

Next chapter

Technical Analysis Foundations: Moving Averages for Trend Filtering and Dynamic Levels

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