Understanding Indian Equity Quote Data

Hello. In the last lesson, you separated an individual share from an index, mutual fund, and ETF. Now we narrow the focus to the information shown for an individual listed share.

A quote screen is often the first thing an analyst sees, but it is not an investment conclusion. It is a dated market snapshot: it describes what was traded, at what prices, and in what quantity. Your task is to read it accurately, distinguish market activity from business value, and avoid drawing more from one day’s figures than the data can support.

By the end of this lesson, you should be able to interpret basic Indian equity quote data: price, traded volume, market capitalization, free float, and delivery quantity.

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Start with the date, exchange, and security

Before interpreting any figure, identify:

• The company and symbol: for example, Coal India Limited and COALINDIA.
• The exchange and series: EQ generally denotes the normal equity segment.
• The date and time: a live quote can change continuously; end-of-day figures refer to a completed session.
• The unit: shares, rupees, lakhs, or crores are not interchangeable.

The Coal India stock quote snapshot below is useful because it groups common fields in one place. However, it includes historical 52-week reference dates, so treat it as an illustration of quote-screen structure, not current market data.

A quote screen often also displays an ISIN. An ISIN is a unique security identification code; it helps distinguish the security precisely, especially when company names or symbols can be similar.

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Price: one number with several useful reference points

The headline price is the price per share. It tells you what one share is currently trading at, but it does not tell you the size or quality of the business. A share at $₹1,000$ is not automatically more valuable than one at $₹100$.

The common price fields describe different moments in a trading session.

Field	Meaning	What it helps you see
Previous close	The official closing price from the prior trading day	Reference point for daily price change
Open	The first traded price of the current session	How the session began relative to the previous close
High	Highest traded price during the session	Upper end of the day’s trading range
Low	Lowest traded price during the session	Lower end of the day’s trading range
Last price / LTP	Most recent traded price at the time of viewing	The current live market level
Close	Exchange-defined closing price for the session	A consistent end-of-day price for return calculations
VWAP	Volume-weighted average price	Average trading price weighted by quantities traded

Reading the Coal India example

The snapshot shows:

• Previous close: $₹137.00$
• Displayed price: $₹138.20$
• Open: $₹139.00$
• High: $₹139.70$
• Low: $₹137.50$

The displayed increase of $₹1.20$ is measured against the previous close:

$$\text{Daily price change}=₹138.20-₹137.00=₹1.20$$

The percentage change is:

$$\text{Percentage change}=\frac{₹138.20-₹137.00}{₹137.00}\times 100\approx 0.88\%$$

That calculation explains the green $0.88\%$ figure. It does not mean that every investor in Coal India earned $0.88\%$: their return depends on the price at which they bought, transaction costs, taxes, and holding period.

Notice that the displayed price of $₹138.20$ and the field labelled “Close” at $₹138.10$ differ slightly. This can happen because one value may be a live last-traded price while another is a closing or reference figure calculated under the platform’s convention. Always read the label, date, and market status rather than assuming every “price” on a screen means the same thing.

VWAP: the quantity-weighted average trading price

The volume-weighted average price, or VWAP, answers a different question from the last price: At what average price did shares trade during the period, giving more weight to trades involving more shares?

$$\text{VWAP}=\frac{\sum (\text{trade price}\times \text{shares traded})}{\text{total shares traded}}$$

Coal India’s displayed VWAP is $₹138.39$. Since this is above the displayed $₹138.20$ price, the most recent price in that snapshot was below the session’s quantity-weighted average. That is a factual observation for that session, not a reliable prediction of tomorrow’s price.

For company research, price fields are most useful for calculating returns, comparing a company with a benchmark later in the course, and understanding the context in which a valuation is being discussed.

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Volume and turnover: how much trading occurred?

Traded volume is the total number of shares that changed hands during a defined period, commonly one trading day. It measures trading activity, not the number of distinct investors and not the number of shares outstanding.

The Coal India snapshot reports traded volume of 42,38,903 shares. In the Indian numbering format, that is:

$$42,38,903=4,238,903\text{ shares}$$

A share can be bought and sold more than once in a day. Therefore, volume can exceed the number of shares actually added to or removed from investors’ holdings.

Turnover is the rupee value of trading. It is approximately:

$$\text{Turnover}\approx \text{VWAP}\times \text{traded quantity}$$

Using the snapshot’s figures:

$$₹138.39\times 4,238,903\approx ₹586,621,786$$

This is approximately $₹5.87$ crore, or $₹5,866.22$ lakh, matching the displayed traded value.

What volume can—and cannot—tell you

Higher volume often indicates that a share was easier to trade that day than usual. It may occur because of earnings announcements, index rebalancing, block deals, broad market stress, news, or simple short-term speculation.

The useful comparison is generally the company’s own historical volume, not another company’s raw volume. For example, a one-million-share day may be ordinary for a large liquid company but unusually high for a smaller company.

Volume alone cannot tell you:

• whether the dominant activity was buying or selling;
• whether participants were retail investors, mutual funds, foreign institutions, or traders;
• whether a price move was justified by business fundamentals;
• whether the company has become more valuable.

It describes activity, not intent.

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Market capitalization: the market value of the company’s equity

Market capitalization, commonly shortened to market cap, estimates the market value of a company’s equity.

$$\text{Market capitalization}=\text{share price}\times \text{total equity shares outstanding}$$

Suppose a company has 100 crore shares outstanding and its share price is $₹200$.

$$100\text{ crore shares}\times ₹200=₹20,000\text{ crore}$$

Its market capitalization would be $₹20,000$ crore.

Market cap changes when the share price changes. It can also change when the number of shares changes through actions such as a new share issue, buyback, conversion of securities, or stock split.

What market cap is not

Market cap is not:

• the company’s annual revenue;
• the cash in its bank account;
• the original amount raised from shareholders;
• the price required to acquire the company, because an acquirer would also need to consider debt and cash.

The distinction between equity value and enterprise value will become important in the valuation modules. For now, use market cap as a quick measure of the market’s value for shareholders’ ownership claims.

A platform may show market cap in rupees, lakhs, crores, or billions. Always check the unit before comparing companies. Confusing $₹5,000$ crore with $₹5,000$ lakh creates an error of one hundred times.

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Free float: the part of equity considered available to the market

Not every outstanding share is treated as readily available for market trading. Promoters, governments, founders, strategic investors, and certain long-term holders may own shares that are not normally considered part of the active public float.

Free-float shares are the shares regarded as available for trading by public investors under the relevant platform or index methodology.

$$\text{Free-float market capitalization}=\text{share price}\times \text{free-float shares}$$

The Coal India snapshot reports Free Float Market Cap of $₹28,936.47$ crore. This is not the same as the company’s total market capitalization. It represents the market value of the portion classified as freely tradable under that data provider’s methodology.

The free-float percentage can be expressed as:

$$\text{Free-float percentage}=\frac{\text{free-float shares}}{\text{total shares outstanding}}\times 100$$

Why free float matters

Free float matters for three related reasons:

1. Index construction
   Many Indian market indices use free-float market capitalization when determining company weights. A company with a large total market cap but substantial promoter ownership may receive a lower index weight than its total market cap alone suggests.

2. Trading liquidity
   A smaller float can mean fewer shares are regularly available for trade. That can sometimes contribute to sharper price moves when demand or supply changes.

3. Research context
   Free float helps you distinguish a company with broad public ownership from one where a controlling shareholder owns much of the equity.

However, free float is not a direct measure of daily liquidity. Some public shareholders may rarely trade, while a company with a modest float can still have active trading. Read free float together with actual volume, bid-ask spreads, and ownership disclosures when you reach those topics.

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Delivery quantity: how much trading resulted in settlement?

A day’s traded volume includes both short-term intraday activity and transactions that result in shares being settled into a buyer’s holdings. Deliverable quantity refers to the number of shares that result in delivery through settlement.

The delivery percentage is calculated as:

$$\text{Delivery percentage}=\frac{\text{deliverable quantity}}{\text{total traded quantity}}\times 100$$

Watch this brief explanation of the distinction and calculation.

A delivery percentage of $50\%$ means that half of the day’s reported traded quantity resulted in delivery. It does not mean that “50% of investors are bullish,” nor does it reveal the identity of buyers or sellers.

Read an archived NSE data row to see the fields together in an exchange-report format.

Worked interpretation of the NSE row

The historical SBIN row reports:

• Total traded quantity: $1,03,72,933$ shares
• Deliverable quantity: $30,10,704$ shares
• Delivery percentage: $29.02\%$

Using the Indian commas correctly:

$$\text{Delivery percentage}=\frac{3,010,704}{10,372,933}\times 100\approx 29.02\%$$

The price fields provide a separate observation. The close was $₹300.40$, below the previous close of $₹302.75$:

$$\frac{₹300.40-₹302.75}{₹302.75}\times 100\approx -0.78\%$$

A disciplined one-day summary would be:

SBIN closed about $0.78\%$ below its previous close. About $10.37$ million shares traded, of which approximately $3.01$ million were deliverable, producing a delivery percentage of $29.02\%$.

That summary is factual. It does not claim that a particular institution sold, that the decline will continue, or that the share has become attractive or unattractive.

Use delivery data carefully

Delivery data can be a useful descriptive clue when compared with the company’s own history. For example, a sharp price move accompanied by unusually high volume and an unusually high delivery quantity may warrant further investigation.

But it cannot establish a trading or investment conclusion on its own:

• High delivery can occur while the price rises or falls.
• A delivered share purchased by one holder was sold by another; the data does not identify either party.
• Delivery is not a substitute for analyzing earnings, debt, governance, or valuation.
• Compare like with like: same stock, same exchange scope, same time period, and preferably several prior sessions.

For equity research, delivery data is a market-activity input, not evidence of business performance.

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A practical quote-reading routine

When you open a quote for a company you may later analyse, use this sequence:

1. Confirm the security and date. Record company name, symbol, exchange, series, and whether data are live or end-of-day.
2. Read the price context. Note previous close, open, high, low, last price, close, and percentage change.
3. Separate price from value. A share price is the value of one share; market cap incorporates the number of shares outstanding.
4. Read activity figures. Identify total traded quantity, VWAP, and turnover. Compare volume with the stock’s own recent history where possible.
5. Check free float. Recognize that it reflects the publicly tradable portion of equity under a stated methodology, not the business’s full value.
6. Calculate delivery percentage. Divide deliverable quantity by traded quantity, then interpret it only as a settlement-related activity measure.
7. Write an observation, not a verdict. Record what happened in the data before asking why it happened.

This routine is particularly useful for an entry-level analyst. It establishes clean factual notes and prevents a common mistake: treating a noisy trading-day statistic as if it were evidence about a company’s long-term prospects.

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Key takeaways and next step

A share quote combines different kinds of information:

• Price fields describe where a share traded during a session and how it changed relative to the previous close.
• Volume is the number of shares traded; turnover is their rupee value.
• Market capitalization is share price multiplied by total shares outstanding, representing the market value of equity.
• Free-float market capitalization values only the shares considered available for public trading under the relevant methodology.
• Deliverable quantity is the portion of traded shares that resulted in delivery through settlement, while delivery percentage expresses that quantity relative to total volume.

The essential discipline is to keep these categories separate: price movement, trading activity, ownership structure, and business fundamentals are connected, but they are not the same thing.

Next, you will move beyond quote screens and learn how to locate the primary evidence behind company analysis: annual reports, exchange filings, shareholding patterns, and corporate announcements.