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Contents Lesson 5 of 17

2 min read · foundations

What does volume add to price?

Price tells you WHERE the crowd agreed. Volume — how many shares changed hands — tells you HOW MANY of the crowd showed up to agree. It's the difference between a whisper and a roar saying the same words.

Interactive volume chart: AAPL.US (1Y)

The conviction meter

Two identical 3% up-days can be opposite events:

  • On triple the usual volume — broad participation; many holders repriced their views; institutions likely moved size (Course 2: big moves have big feet).
  • On a third of the usual volume — a drift; few participants; the price moved because nobody objected, not because many agreed. Thin agreement reverses easily.

Same candle, different weight of evidence. That's the whole idea, and it's why serious chart-readers keep volume bars glued under every price chart.

"Usual" is the key word

Raw volume numbers mean nothing alone — 5 million shares is a dead day for a mega-cap and a once-a-decade storm for a small-cap. What matters is relative volume: today against the stock's own recent average. Every platform (including this one) computes it; your eye should always ask "compared to its normal?"

Where volume spikes come from

Earnings days (Course 2's calendar), index changes (Course 2's rebalance-day flows — the volume is huge even when the price barely reacts), big news, option expirations, panics. A volume spike is the market's way of stamping a day as significant to many — the days worth investigating when you review a chart's history.

In the data

Volume sits in the same daily row as the prices. Here is Apple's row for 28 August 2020, the last session before its four-for-one split:

Live API response: mf3 apple split eve bar

The volume reads 187,630,000 shares — the count the tape actually printed that day, multiplied by the split that landed the next session. A price history restates every old volume in today's share size, the way the adjusted close restates old prices, and that is exactly what makes a long "compared to its normal" average safe to take across a split.

The trap is the other direction, and it is easy to walk into: multiply that 187,630,000 by the raw close of 499.23 and you get about $94bn of turnover in one session, a figure no company has ever printed. Against the adjusted close the same row comes to roughly $23bn. Pair adjusted with adjusted and raw with raw, or the split you were careful about reappears in your answer anyway.

Try it now

  1. Open a one-year chart of volume bars — Apple's is below; for your own anchor company, open it in the Terminal and change the symbol there. Find the three tallest bars of the year.
Interactive volume chart: AAPL.US (1Y)

Open AAPL.US in the EODHD Terminal

  1. Date them, then check the calendar: earnings? News? Broad-market storm days? Apple's reporting dates are below, and the market's own diary has a fixed entry worth knowing: the third Friday of March, June, September and December, when options expire and index funds rebalance together. A bar the morning after a report and a bar on one of those Fridays have boring explanations; a bar with neither is the one to look into.
Live API response: mf3 apple reports 2026
  1. Turn "usual" into a number. Below is Apple's latest session and the average volume of the twenty sessions ending on it. Divide the first by the second. Above 2 is a day the crowd showed up; near 1 is an ordinary Tuesday whatever the headline says.
Live API response: mf apple latest bar
Live API response: mf apple avgvol20 latest

Then do the same by eye for your three tall bars. The chart below draws that twenty-session average over the bars, so each bar's height against the line is its multiple, and you will find how far above normal a real event actually pushes it.

Interactive volume chart: AAPL.US (1Y)
  1. Now check that the average survives a split, rather than assuming either way. Apple's splits are listed below, and the second table is the session before its 2020 split beside the first session after it. Look for a step in the volume counts: there is none, because the column is adjusted like the prices. Then multiply volume by the raw close on each day and watch the turnover fall by a factor of about three, most of it the split's four — the phantom is in the pairing, and it lands in your arithmetic rather than in the data.
Live API response: mf3 apple splits
Live API response: mf apple split close and volume