Every breakout strategy needs a confirmation filter, because most breakouts fail. The standard filter is volume: a move on heavy volume is more credible than one on light volume. Indian markets publish a strictly better number, free, every evening, and most retail investors have never used it.
What delivery percentage measures
NSE reports, for every stock, every day, the quantity that settled as delivery as a share of total traded quantity.
The gap between the two exists because of intraday trading. If you buy 100 shares at 10:15 and sell them at 14:30, you contributed 200 shares to the day’s volume and zero to delivery — the trades net off in your broker’s books and no shares change hands at the depository. Only positions carried past the close settle as delivery.
So the day’s volume is gross activity. Delivery is the residue: how much stock somebody actually took ownership of and paid full value for.
A stock can trade 50 lakh shares with 15% delivery, or 50 lakh shares with 70% delivery. Identical volume. Completely different events. The first is day traders passing inventory back and forth; by the close, roughly nobody’s position has changed. The second means around 35 lakh shares moved into somebody’s demat account, which required real capital and a decision to hold overnight.
This distinction is invisible in the volume figure alone, and it is the whole reason the field is worth having.
Why the number does not exist elsewhere
US markets do not publish a comparable statistic, and it is worth understanding why, because it explains what the number really captures.
Delivery percentage falls out of India’s settlement architecture. Indian equities settle on a T+1 cycle with mandatory delivery-based settlement at the depository level, and intraday positions squared off before the close never reach settlement. The exchange therefore knows exactly which quantity settled and which did not, and publishes it.
In the US, equity settlement runs through a netting process where the distinction between an intraday round trip and a held position is not surfaced as a public per-stock statistic. There is no equivalent field. Strategies imported wholesale from US retail trading literature simply do not use it — not because it is unhelpful, but because it does not exist there.
That makes it one of the small number of genuine informational advantages available to someone trading Indian markets specifically.
Combining it with an all-time-high breakout
The template pairs delivery with a price condition: the stock must be trading within 3% of its all-time high.
The all-time-high anchor has a behavioural justification, not just a technical one. Terrance Odean’s 1998 study of 10,000 retail brokerage accounts documented the disposition effect — investors sell winners far too readily and hold losers far too long. Odean found investors were roughly 50% more likely to realise a gain than a loss. Shefrin and Statman had named the effect a decade earlier.
The consequence for a stock at an all-time high is structural: there is no trapped supply. Every holder is in profit. Nobody is waiting to “get back to breakeven” and sell into strength, because breakeven is below the current price for everyone. In a stock 40% below its high, every rally runs into a wall of holders who have been waiting years to exit flat — and the disposition effect says they will take the chance.
So the price condition removes the overhead supply, and the delivery condition confirms that someone is actually accumulating rather than churning. Each does a job the other cannot.
Reading the number honestly
Three things about delivery percentage that trip people up.
High delivery is not automatically bullish. It measures conviction, not direction. A stock falling 6% on 80% delivery means somebody took real ownership and real selling occurred — genuine distribution, not a bounce. Delivery is a confirmation filter for a directional signal you already have, never a standalone signal.
The base rate varies enormously by stock. Illiquid smallcaps routinely show 80–90% delivery simply because no day traders are active in them. Highly liquid index names often sit at 25–40% because they are the preferred vehicles for intraday trading. A flat 50% threshold across the universe therefore embeds a size and liquidity tilt. Comparing a stock’s delivery against its own recent average is a more refined construction, and a good first modification to make.
It is an EQ-series figure. NSE reports it for the rolling-settlement equity series. Trade-to-trade and other special series behave differently, and mixing them produces inconsistent readings.
Turnover, not volume, for the liquidity leg
The template’s third condition is that the day’s turnover exceed its own twenty-day average. Turnover in rupees, deliberately, rather than share count.
Share volume is not comparable across price levels. Ten lakh shares of a ₹4 stock is ₹40 lakh of activity; ten thousand shares of a ₹4,000 stock is ₹4 crore. Any screen ranking or thresholding on share volume systematically favours low-priced stocks, which is a price-level bias masquerading as a liquidity filter.
Comparing turnover against its own trailing average, rather than against a fixed rupee threshold, also makes the condition scale-free: it asks “is this stock busier than usual for itself,” which is the actual question.
Where this fails
Breakouts fail more often than they work, even filtered. The delivery condition improves the hit rate; it does not make it high. A breakout portfolio has a low win rate and relies on the winners running, which means it needs enough names and enough patience to let that distribution play out.
Delivery data covers NSE cash-segment EQ series only. Coverage is good but not universal, and a stock missing the field is silently excluded rather than failed — worth knowing when the screen returns fewer names than expected.
All-time highs cluster in bull markets. The screen will return dozens of candidates in a strong market and almost none after a correction. That is arguably correct behaviour, but it means the strategy’s exposure is inherently pro-cyclical and it will be nearly fully invested at exactly the moment a correction begins.
Try it
The Delivery-Backed Breakout template screens for stocks within 3% of their all-time high with delivery above 50% and turnover above its own twenty-day average, applies a market-cap floor and surveillance exclusion, and holds twenty names with a weekly rebalance.
The experiment that shows what delivery is worth: run it once as configured, then again with the delivery condition removed and everything else identical. The difference between those two equity curves is the value of a field that no US-derived strategy template will ever tell you about.
Further reading
Other India-specific disclosures that carry information:
- Bulk deals vs block deals vs shareholding patterns on what each disclosure actually tells you about who bought
- Insider buying is a signal. Insider selling mostly is not. for the asymmetry inside SEBI’s mandatory filings
- Mean reversion: getting paid to provide liquidity for the strategy family that takes the other side of a breakout
Glossary: delivery percentage, turnover, ASM and GSM surveillance, hit rate.