Disclosed Quantity Orders, Explained

That is the textbook definition. The more useful question, for almost everyone reading this, is: do you actually need it?

I get asked about this field every batch I teach. The "Disclosed Qty" box sits right there on Zerodha, Upstox, ICICI Direct, looking important, looking advanced, looking like the kind of thing a serious trader fills in.

So beginners assume there must be an edge in using it. There isn't, for retail-sized orders. But understanding why the field exists teaches you something real about how the market actually works.

What a Disclosed Quantity Order Actually Does

Every time you place a limit order, your order joins a public queue at that price. Anyone looking at the order book (also called Level 2 or market depth) can see how many shares are bid or offered at each price level.

For most retail orders, that's harmless. Your 200 shares of HDFC Bank are invisible against the 80,000 shares stacked at the same price.

But when an order is big relative to the visible book, that transparency becomes a problem. Other traders see the demand and react before you finish executing.

Disclosed Quantity solves that by showing only a slice of your order at a time. Imagine you want to buy 5,000 shares of a mid-cap stock at ₹420, and you set the disclosed quantity to 500. Here's what the rest of the market sees, versus what you actually have working:

From the outside, you look like a small participant. From the inside, you have ten times that order working.

How the Order Flows Through the Exchange

The execution sequence is mechanical and worth understanding clearly, because there's a hidden cost most traders don't notice.

• Step 1 · Order placed

  You submit 5,000 shares with DQ = 500

  Your broker sends the parent order to NSE. The exchange validates the disclosed quantity (must be ≥ 10% of total order, and strictly less than total). 5,000 with DQ 500 passes; 500 is exactly 10%.

• Step 2 · First slice visible

  500 shares appear in the order book

  The exchange shows 500 in the public market depth at your price. The remaining 4,500 sit in the exchange's internal queue, invisible to other participants.

• Step 3 · First slice fills

  Buyer at the other side matches your 500

  That 500 trades and disappears from the book.

• Step 4 · The catch

  Next 500 released — with a new timestamp

  The next slice goes back into the book at your price, but now it gets a fresh time priority. Every order that was already sitting at that price ahead of you keeps its slot. You go to the back of the queue at your price level — every time a slice refills.

• Step 5 · Repeat

  The cycle continues until the parent fills

  500 visible, 500 fills, next 500 released and re-timestamped, until all 5,000 are executed or the order is cancelled.

That step 4 is the real trade-off. Exchanges match orders by price-time priority: the best price wins, and at the same price, the earlier order wins. Think of a ticket counter where everyone bidding the same price stands in a queue and whoever arrived first gets served first.

When your disclosed slice refills, you keep your price priority but lose your time priority. Your refilled slice goes to the back of that queue.

In a deep, liquid book, this doesn't matter much. In a thin book or during a fast move, it can mean your order sits unfilled while later, smaller orders trade ahead of you.

Why This Feature Exists: Impact Cost

The reason exchanges built this feature at all is a thing called impact cost: the slippage between the price you saw on screen and the price you actually got, created when your own order is big enough to push the market against you.

A simple example. Say a High Net Worth Individual wants to buy 5,00,000 shares of Infosys at ₹1,200. He places the order naked, full size visible.

Everyone watching the book sees that demand surge. Other buyers front-run him: they rush in to buy first, hoping to flip the shares to him at a higher price. Sellers see the urgency and pull their offers higher.

By the time the HNI is done, the average fill might be ₹1,250, fifty rupees worse than the screen price he started with. That's ₹2.5 crore of impact cost on a single order, paid not in brokerage but in slippage.

Now run the same trade with Disclosed Quantity set to 50,000. Only 50,000 shares are visible at a time. The market sees a normal-sized buyer, the front-runners stay home, and the average fill drifts up to maybe ₹1,210 instead of ₹1,250. Impact cost: ₹50 lakh instead of ₹2.5 crore.

That's a real saving. But notice the scale at which it kicks in. The HNI is buying ₹60 crore worth of stock in one shot. For your 200 shares of Infosys at ₹1,200, a ₹2.4 lakh order, there is no impact cost worth hiding.

The Rules, By Segment

Disclosed Quantity is not uniform across the Indian markets. Each segment has its own floor for how much you must reveal, and not every segment supports it at all. Zerodha's support documentation summarises the current state, cross-referenced with the NSE trading system rules:

The 10% floor on equity is the regulatory compromise. The exchanges want order books to mean something. If you could hide 99% of an order, the book would be a lie. So you must show at least one share in ten.

For a ₹2.4 lakh order (200 shares of Infosys), the floor is 20 shares, and 20 visible shares in a stock that does crores of volume tells the rest of the market exactly nothing they didn't already assume. The protection is rounding error.

For a ₹60 crore order, that same 10% floor still hides ₹54 crore of the trade. That's where the feature has teeth.

When Disclosed Quantity Actually Helps

The mental test I use, and that I teach in batches, is two questions:

Question one. Is your order size large compared to the visible book at your price? If you can see five other orders at the same price each bigger than yours, you're a small fish. Hiding doesn't help small fish.

Question two. Is the stock liquid enough to absorb your full size in a few minutes? If yes, even a fully visible order is unlikely to move the price meaningfully.

If no, you have a different problem. You're trading something illiquid, and Disclosed Quantity is not the right tool for it. You probably want to split the order over hours or days, manually or with a smarter algo.

Disclosed Quantity is genuinely useful in a narrow band: orders large enough to be visible against the book, but small enough that the stock can absorb them within a session at roughly current prices. That's an HNI/family-office/proprietary-desk band. Not a retail band.

For F&O, where DQ is unavailable, the equivalent feature is the Iceberg order, and it's different enough that it deserves its own section.

Disclosed Quantity vs Iceberg Orders

Both features solve the same problem: large orders moving the market against you. But they do it in opposite ways, and they live on different segments.

A Disclosed Quantity order is a single parent order at the exchange. The exchange itself displays only the disclosed slice of it in the public book. The hidden part lives inside the exchange's matching engine and is released automatically when the visible part fills. Zerodha's documentation covers the equity flow in detail.

An Iceberg order, by contrast, is a broker-side construct. The exchange never sees the full parent. The broker splits your big order into smaller "legs" of your chosen size and sends them to the exchange one at a time.

When leg 1 fills, the broker submits leg 2. Each leg looks like an independent order to the exchange.

That distinction matters in three practical ways:

The mental model is similar (chip away at a big order so the market doesn't see it all at once), but Iceberg gives the broker more control and Disclosed Quantity gives the exchange more control. For retail, the upshot is the same: useful only when your order is big enough to actually move the visible book. Below that threshold, both are cosmetic.

Don't Read Market Depth Blindly

There's a second lesson buried in this whole topic, and it matters far more than the Disclosed Quantity field itself.

If order sizes can be masked, then the Level 2 / market depth you stare at every morning is, by design, an incomplete picture. Big orders sit hidden behind the 10% floor. Algorithmic order splitters chop institutional intent into thousands of tiny pieces. Spoofers post and pull orders to manipulate what other traders see.

Trading off raw depth data ("look, there's heavy buying!") is one of the most common ways retail traders get faked out. The depth screen is one input among many. It is not ground truth.