How we compute these

Where the data comes from

Everything starts from public data. This is where each kind comes from:

• Company fundamentals — quarterly and annual financial results, balance sheets, cash flow statements, and shareholding patterns, as compiled from the companies’ exchange filings by a third-party data provider. We don’t read the filings ourselves.
• Prices — end-of-day exchange prices (open, high, low, close, volume).
• Mutual fund data — NAV history as published by AMFI, India’s mutual fund association. Portfolio holdings, expense ratios, exit loads, risk ratios and category figures come from a third-party mutual fund data provider.

We store this raw data as it arrives. Every number you see on a page is either one of those stored values or something computed from them by the rules below.

How the numbers are computed

Returns (1 day to 10 years). Today’s closing price compared to the closing price at the start of the period. A 6-month return of +15% means the price is 15% higher than it was six months ago. Nothing more.

Volatility. How much the daily price jumps around over the past year, expressed as an annualized percentage. Higher means wilder. A stock that moves ±1% most days has low volatility; one that swings ±4% has high volatility.

52-week high/low distance. How far today’s price sits from the highest and lowest prices of the past year, as a ratio. “Within 5% of the 52-week high” means today’s price is at least 95% of that high.

Moving averages (DMA 50 / 200). The average closing price over the last 50 and 200 trading days. “Above the 200 DMA” means today’s price is higher than that average — a common trend gauge.

Fundamentals ratios (P/E, P/B, ROCE, ROE, margins, debt-to-equity). Standard definitions from the financial statements: price divided by earnings per share, profit as a percentage of capital employed, and so on. Quarterly and annual series are shown as the data provider publishes them.

Growth (CAGRs). Compounded annual growth over 3, 5, and 10 years where the company has the history — the smoothed yearly rate that gets you from the start value to the end value.

Sector medians. We line up the companies in the same sector and take the middle value of their latest figures, in a snapshot we take once a day. A company’s own figure can be from a different day than its sector’s snapshot, so read the comparison as a guide, not an exact match.

Scores and reads (Piotroski F-score, Graham Number, cash flow to profit (CFO / PAT), and similar). Published, standard formulas applied to the financials above. Each one has its own explainer on the page it appears on.

Mutual fund analytics Returns, 1-year volatility, the worst fall of the past year and the 1-year Sharpe ratio are computed by us from daily NAV history; where we can’t compute one, the page shows the fund data provider’s figure instead. The other ratios (Sharpe over the provider’s own window, Sortino, alpha, beta, R-squared, information ratio), the category averages and the category ranks come from the fund data provider. A fund too young for a window gets no figure we compute for it, and is not ranked or compared on it. The provider’s ratios carry no such age check.

Strengths and watch-outs

These are judgments, so we make them with rules, not vibes. Each one is a check against the company’s own history and its sector — for example, “ROCE has stayed above the sector median for 5 consecutive years” or “Borrowings are down 80% since FY2016.” A rule either passes or it doesn’t, and what you read is that rule’s own sentence, filled in with the numbers it checked. No language model writes or rewrites it.

How often numbers refresh

• Prices and everything computed from them (returns, volatility, DMA, 52-week stats): recalculated once a day after the market closes.
• Fundamentals refreshed weekly, and within a day or two of a company filing new results.
• Mutual fund NAVs and analytics daily, as published.

Every data section shows the date of the data it’s built on. If a number looks stale, check that date before trusting it.

What we show when there isn’t enough data

We never guess, pad, or smooth over gaps. If a company has only existed for a year, it has no 10-year growth rate — the page says so, plainly, and tells you when each metric will unlock as more results arrive. If we don’t have price history for a security, the chart area says “price history unavailable” instead of drawing you a misleading picture. An honest empty state, always, over a confident-looking hole.

What this is not

Nothing on these pages is investment advice, a recommendation, or a solicitation to buy or sell any security. The āagman read is arithmetic and rules applied to public filings — it tells you what the numbers say, not what to do about it. What you do with it is your call. (That is the entire idea: we do the homework, you make the call.)