Why StockLearn has no intraday view

Six numbers per stock per session. Two completely different trading days can produce an identical row.

StockLearn has no intraday view. There is no minute chart, no live price, no alert that fires when a stock crosses a level during the session. That's a hard limit of what our data supports, and this piece explains where the limit comes from and why we haven't worked around it.

What end-of-day data actually contains

The stock pipeline runs on NSE's end-of-day bhavcopy — a file published after the close containing, for each symbol, that session's open, high, low, close, volume and delivery figures.

That's six numbers per stock per day. It's enough to know the day's range and where the day finished inside it. It is not enough to know when the high happened, whether the stock spent the session grinding up or spiked and faded, or what the order book looked like at any moment.

Why not just buy intraday data?

It's available, and the reasons we haven't are worth being straight about.

Cost. Tick or minute data for the full NSE universe is a different order of expense from a daily file, both to license and to store. StockLearn's free tier exists because the underlying data is cheap. Intraday economics would change what the product is.

It changes the product into something else. Everything we measure is a multi-day effect — forward returns at 3, 10 and 20 sessions. An intraday feed doesn't improve those measurements at all. It would only support a different kind of tool: one about timing entries within a session, which is a category we have no measured basis to build in.

We'd have to make claims we can't support. An intraday product implies intraday edges. We haven't measured any, and building the feed first and the evidence later is precisely the sequence we try to avoid.

What this rules out

• Live prices or a real-time scanner. The numbers you see are from the last completed session.
• Intraday breakout detection. We can see that a stock closed above a level, not that it crossed one at 11:20am.
• Anything involving intraday volatility, opening-range behaviour, or volume profile.
• Alerts during market hours.

The one live element on the site is the index ribbon on the homepage, which pulls a separate periodically-refreshed feed for a handful of indices. It's context, not a scanning input.

What end-of-day data is genuinely good at

Most of what technical analysis actually claims operates on a horizon of days to months. Moving averages, stage classification, relative strength, momentum — none of these need intraday resolution, and computing them on daily closes is the standard construction, not a compromise.

Daily data also has a quiet advantage: the closing price is the most meaningful single price of the session. It's where the market settled with full information, it's what index calculations use, and it's far less noisy than any intraday snapshot.

The delivery figure is a partial exception

One bhavcopy field does carry a hint of intraday structure: delivery quantity, the portion of traded volume that settled as actual share transfer rather than being squared off within the session.

A low delivery percentage means most of the day's activity was intraday churn. A high one means more of it stuck. That's not intraday resolution, but it's a genuine signal about what kind of session it was, available in daily data.

Would we ever add it?

Only if there were a measured reason to. The order we'd want is: find an effect in the daily data that plausibly depends on intraday structure, establish that the daily version is limited by that, then acquire the data to test it properly.

Buying a feed because competitors have one, and then looking for something to do with it, produces tools that exist to justify the data cost. We'd rather stay narrow.

This guide is educational and explains how StockLearn interprets common technical indicators, using illustrative examples. It is not investment advice or a recommendation to buy or sell any security.