Wiki
Clear, well-sourced answers to common questions about investing, market data, and how the Indian stock market actually works. Each answer is written to be read in a few minutes, with links to the Financial Glossary for any term you want to look up.
Market Behaviour
Why prices move the way they do, and why the market often reacts to expectations rather than reported results.
Why do stock prices sometimes fall even after a company reports good results?
A share price reflects what the market already expects, not just what a company reports. When results are good but not better than the expectations already built into the price, or when the outlook the company gives is cautious, the price can fall even as profits rise. The market is pricing the future, while the results describe the past.
Why can a stock stay overvalued or undervalued for years?
Markets are not instantly efficient. Information spreads slowly, investors hold different convictions and time horizons, and steady flows from index funds and large institutions can keep buying or selling a stock regardless of its value. A strong narrative can hold a valuation far from fair value for years, until a catalyst finally forces the gap to close.
Why does the stock market react to guidance more than current profits?
A share price is the market's estimate of future earnings, not a record of the last quarter, so anything that changes the view of the future moves the price the most. Forward guidance and management commentary reset expectations for the quarters ahead, while a reported profit only confirms a period that is already over and largely priced in. The market pays for what comes next.
Why Numbers Differ
Why the same company can show different valuations, ratios, and market caps across different data sources.
Why do different websites show different PE ratios for the same company?
A PE ratio is a price divided by earnings per share, and websites disagree because they choose different earnings. Some use the last four reported quarters (trailing), some use forecasts (forward), some use consolidated group profit and others standalone, and each updates on a different reporting date. The price is the same, so almost every difference comes from which earnings figure sits in the denominator.
Why is a company's market cap different across websites?
Market capitalisation is the share price multiplied by the number of shares, so websites disagree when they use a different share count or a price captured at a different moment. Some show total market cap using every share, while others show free-float market cap using only shares available to trade. Treasury shares, partly paid shares, and the timing of the last price all add small differences on top.
Why do financial ratios disagree between data providers?
Financial ratios disagree because there is no universal formula for most of them, and providers make different but defensible choices. They use different definitions of the same term, mix trailing-twelve-month and full-year figures, adjust for one-off items differently, and draw from different source filings. The company reports one set of accounts, but the ratios built on top of them are constructed choices, not fixed facts.
Data & Quality
How prices, statements, and datasets are constructed, revised, and validated, and what makes one dataset cleaner than another.
Why do historical stock prices change over time?
Historical prices change because data providers adjust them for corporate actions such as splits, bonus issues, and dividends, so that the past series stays comparable with today. The raw price that traded on a given day does not change, but the adjusted series everyone charts is recalculated each time a new corporate action occurs. This is why the same historical close can look different depending on when and where you pull it.
Why is end-of-day data sometimes more reliable than live data?
End-of-day data is often more reliable than live data because it is validated and settled by the exchange after the session, with erroneous trades removed and official closing prices confirmed. Live feeds carry raw intraday ticks that can include momentary spikes, bad prints, and thin-liquidity noise that never settle into the official record. For measuring what actually happened, the cleaned end-of-day figure is more trustworthy than any single live tick.
What is point-in-time financial data and why does it matter?
Point-in-time data records exactly what was known and reported on each historical date, before any later revisions or restatements. It matters because analysis built on today's cleaned-up figures, applied to the past, quietly assumes knowledge that no one actually had at the time. Without it, backtests suffer look-ahead and survivorship bias and overstate how well a strategy would truly have performed.
Company Analysis
How to read financial results with nuance, beyond the single headline number.
Can revenue growth make a company weaker?
Yes. Revenue growth is only healthy when it earns more than it costs to produce and to fund. Growth bought with heavy discounting, thinning margins, rising receivables, or cash raised faster than it is generated can leave a company larger but financially weaker. The real test is not how fast revenue grows, but at what quality and cost.
Why is profit not always the most important number?
Reported profit is an accounting figure shaped by judgement and timing, so it can differ from the cash a business actually generates. Non-cash charges, one-off items, and accruals can lift or lower profit without changing the underlying business. Cash flow, and how wisely that cash is reinvested, often reveal a company's health more reliably than the profit line alone.
Why can earnings per share rise even when the business is not improving?
Earnings per share divides profit by the number of shares, so it can rise from either a bigger profit or a smaller share count. Buybacks that shrink the share count, one-off gains, accounting changes, and a lower tax charge can all lift EPS without the underlying business getting any stronger. Reading EPS well means checking why it moved, not just that it rose.
Derivatives & Structure
What derivatives data reveals about positioning and expectations, read as information rather than as a trade.
What can option chain data tell you even if you never trade options?
An option chain is a table of every listed strike price for an index or stock, showing the open interest, volume, and premium at each level. Even if you never trade options, it maps where other participants have placed money, giving a rough read on positioning, the range the market is pricing, and levels that may act as support or resistance. It describes what is being priced, not what will happen; it is information, not a signal to act.
Why does open interest rise while prices fall?
Open interest counts how many contracts are currently open, so it can rise whether participants are buying or selling. When price falls and open interest rises together, it usually means new positions are being created rather than closed, most often fresh short positions. Reading open interest alongside price direction separates new selling from the unwinding of old bets, and both describe behaviour rather than predict it.
Why does max pain change every day?
Max pain is the strike price at which the largest number of option buyers would lose money at expiry, calculated from the open interest currently sitting across all strikes. Because open interest is added and removed continuously as participants open and close positions, that strike moves, so the max pain level is recalculated and shifts from day to day. It is a snapshot of current positioning, not a target the price is drawn toward.
Investor Psychology
The predictable ways human psychology shapes investing decisions, and how discipline counters them.
Why do investors feel losses more strongly than gains of the same size?
People feel the pain of a loss roughly twice as strongly as the pleasure of an equal gain, a tendency called loss aversion. In investing this shows up as the disposition effect: selling winners too early to lock in a good feeling, while holding losers too long to avoid admitting a loss. The result is a portfolio shaped by emotion rather than evidence, which a written, data-based process is designed to counter.
Why is an investor's confidence often highest just before a mistake?
Confidence tends to peak after a run of success, exactly when the risk of a costly error is rising. A winning streak encourages overconfidence and the hot-hand illusion, the belief that recent good outcomes will continue, while recency bias makes the latest results feel more representative than they are. The danger is not the confidence itself but the larger, less careful bets it invites.
Can a good investment decision still produce a bad outcome?
Yes. A sound decision can lead to a poor result, and a careless one can pay off, because markets are shaped by luck and variance as well as by judgement. Judging a decision only by how it turned out, a habit known as outcome bias, rewards recklessness that got lucky and punishes discipline that got unlucky. The reliable way to improve is to judge decisions by the quality of the process behind them.
AI & Investing
What AI can and cannot do for investors, and how to use it without outsourcing judgment.
Can AI replace investment research?
AI can accelerate investment research, but it does not replace it. Large language models are strong at synthesising, summarising, and screening large amounts of public information quickly, and weak at judgment, accountability, and reasoning about genuinely new events. The realistic role is augmentation: AI drafts and organises, while a person verifies the figures and makes the decision.
Why do AI models sometimes disagree about the same company?
Two AI models can describe the same company differently because they were trained on different data with different cut-off dates, are given different questions and context, and generate answers with some built-in variation. Any of them can also state a figure that is simply invented. Disagreement is a signal to go and check the primary source, not to pick whichever answer you prefer.
How should AI-generated financial information be verified?
Verify AI-generated financial information by treating every specific figure as unconfirmed until it is traced to a primary source. Check numbers against official filings, exchange data, and regulator or registrar records rather than against another AI. Confirm the figure is current, matches the exact definition you need, and refers to the right entity and period before you rely on it.
Research Skills
How to evaluate data, avoid common research traps, and focus on what actually matters over the long term.
How do you tell a reliable financial dataset from an unreliable one?
A reliable financial dataset comes from an authoritative source, states how it was adjusted and when it was revised, and covers the full universe without silently dropping companies. An unreliable one hides its methodology, changes past numbers without a trail, and shows gaps you notice only when the figures stop making sense. Judge data less by how polished it looks and more by whether you can trace each number to its origin.
Why do stock screeners mislead if you ignore survivorship bias?
A stock screener usually shows only the companies that still exist today, which means every firm that was delisted, merged, or went bankrupt has silently dropped out of the list. Because the failures are missing, historical averages, win rates, and backtests look better than the market ever actually delivered. To read a screener honestly you have to remember the companies that are no longer there.
Which company metrics change slowly enough to matter for long-term investors?
The metrics that matter over years are the ones that move slowly and describe the durable quality of a business: how much it earns on the capital it uses, its profit margins, and the direction of its debt. Fast-moving figures like a single quarter's earnings per share bounce around on timing, one-off items, and seasonality, so they say more about the last three months than about the company. Long-term research means weighting the slow, structural signals over the noisy ones.
Funds & Indices
How mutual fund and index data is constructed, and how to research funds beyond a star rating.
Why do mutual fund portfolios lag by about a month?
A mutual fund publishes its net asset value every business day, but it is required to disclose its full list of holdings only once a month, within a few days of the month-end. So the holdings you see are usually a snapshot from the last month-end, not from today. The daily NAV moves with live prices, while the portfolio behind it is revealed on a regulatory schedule.
How is free float calculated in Indian indices and why does it matter?
Free float is the portion of a company's shares that is actually available for public trading, after excluding promoter holdings, government stakes, and other locked-in shares. Indian indices such as the Nifty 50 and Sensex weight each company by its free-float market capitalisation, not its total market cap, so a company's influence on the index reflects tradable shares, not shares held tightly by insiders.
How do you research a mutual fund beyond its star rating?
A star rating is a backward-looking summary of past risk-adjusted returns, so it tells you how a fund behaved, not how it is built or how it may behave next. To research a fund properly, look past the rating at its mandate, its actual holdings, the consistency of its returns, its expense ratio, and who manages it. These reveal whether past performance came from a repeatable process or from conditions that may not recur.