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There are more stocks available to trade than any trader can reasonably monitor. In August we asked where the market is actually doing business, and ranked NSE single-stock futures by the average number of futures contracts traded per day.
September's study answers the same question better, because it asks a second one: is the average day anything like an ordinary day?
It usually is not. In September, 59.4% of all single-stock futures volume traded in the four sessions from 24 to 29 September. A monthly average built across twenty sessions is carrying four very heavy ones. For a watchlist, that matters.
Aug report is at - https://vtrender.com/posts/where-is-the-market-actually-trading
A stock can look active for several different reasons. It can have high cash turnover. It can represent a very large underlying share quantity. It can carry high open interest. Or its price and lot size can make its rupee turnover look unusually large.
We use the simpler measure: how many futures contracts actually trade each day, with all listed expiries combined for each underlying.
Download the pdf at - https://acrobat.adobe.com/id/urn:aaid:sc:AP:b533edf9-88c8-414a-a186-fdf0798bfa7b
In September the leaders were:
Rank | Symbol | Avg contracts/day | Median day | Quiet-day floor |
|---|---|---|---|---|
1 | HDFCBANK | 94,685 | 64,826 | 19,034 |
2 | RELIANCE | 49,055 | 31,052 | 18,898 |
3 | INFY | 38,314 | 21,170 | 10,698 |
4 | TCS | 27,165 | 17,974 | 6,390 |
5 | ICICIBANK | 26,651 | 13,494 | 6,387 |
6 | BSE | 24,701 | 19,480 | 6,506 |
7 | AXISBANK | 22,739 | 8,628 | 3,213 |
8 | SBIN | 21,896 | 12,462 | 6,279 |
9 | TATASTEEL | 20,445 | 14,384 | 5,738 |
10 | BHARTIARTL | 17,658 | 8,678 | 4,320 |
The Top 100 together averaged 11.40 lakh futures contracts a day. On a median session the same hundred names traded 6.59 lakh.
For everyday charting we do not need 100 stocks on screen. The Top 50 remains the practical starting universe, and in September it carried 70.4% of all Top-100 activity.
The September table gives every stock three figures rather than one, plus a fourth column that does the screening work.
Average contracts per day is the ranking metric, unchanged from August, and kept so the two months compare.
Median contracts per day is the middle session of the month. Ten sessions were busier and ten were quieter. This is the number closest to what a trader meets on an ordinary Tuesday.
Quiet-day floor is the thinnest session the contract recorded all month. It is the practical worst case for getting size done.
Rollover multiple divides a stock's average activity across the four rollover sessions by its average across the other sixteen. A multiple of 3 means the contract is three times busier when positions are being moved than it is the rest of the month. The Top-100 median is 4.4.
Across the Top 100 the median day runs at 58% of the average day. That gap is not noise. It is the rollover, and it sits inside every average in the table.
Where to find the data for all these stocks - https://vtrender.com/live-charts
POLICYBZR ranks 11 in September on 16,505 contracts a day. That places it above IDEA, SWIGGY, JIOFIN and WIPRO.
Its median session was 2,661 contracts. Its quietest was 1,191. Its rollover multiple is 15.7, the highest in the Top 100.
On sixteen of the month's twenty sessions, POLICYBZR was not a top-50 futures contract. It earned its rank almost entirely in four sessions.
This is not a criticism of the stock. It is a warning about the column. A watchlist built from the average column puts POLICYBZR on screen alongside BSE and MCX, and on an ordinary day those are not comparable instruments.
It is not an isolated case. Eleven of the September Top 50 have a median day below 5,000 contracts, and ten have a rollover multiple above 6:
Symbol | Rank | Avg/day | Median day | Rollover multiple |
|---|---|---|---|---|
POLICYBZR | 11 | 16,505 | 2,661 | 15.7 |
AMBUJACEM | 32 | 10,644 | 3,706 | 10.4 |
AXISBANK | 7 | 22,739 | 8,628 | 9.5 |
NTPC | 33 | 10,469 | 4,116 | 8.6 |
JSWSTEEL | 46 | 8,477 | 2,885 | 6.5 |
INDUSTOWER | 44 | 8,919 | 3,147 | 5.3 |
The other side of the table is just as useful. PAYTM, SWIGGY, TATASTEEL, MCX and BSE all sit near a multiple of 2 to 3, meaning their activity barely changes between rollover and the rest of the month. BSE averages 24,701 contracts with a median of 19,480 and never traded below 6,506 in any September session.
The two-stage process from August holds. What changes is which column feeds stage one.
Stage 1 — establish the universe. Take the Top 50 by average contracts per day, as before. Then sort that list by the median column and read it again. Names whose position collapses are rollover instruments; names that hold their place are traded every day.
For an Orderflow watchlist, the second list is the better one. An IB30 or IS30 condition appearing in a contract that trades 19,480 contracts on a normal day and one appearing in a contract that trades 2,661 are not equivalent observations, even though both stocks sit inside the Top 12 on the average column.
Stage 2 — let the chart identify the opportunity. Monitor that universe for the conditions you normally use inside Vtrender Charts: IB30, IS30 and the other Orderflow structures.
Nothing about stage two changes. What changes is that the universe entering it is now built on the activity a contract shows on an ordinary session rather than on a monthly average carrying four rollover days.
September's heaviest session traded 48.46 lakh contracts. Its quietest traded 6.18 lakh. That is a ratio of nearly eight to one inside a single month.
The distribution is not random. Aligned by distance from monthly expiry, activity drains through the early cycle and loads into the last four sessions:
Phase of the cycle | Contracts per day |
|---|---|
Early cycle, eight to fifteen sessions before expiry | 7.87 lakh |
Mid cycle, four to seven sessions before | 11.63 lakh |
Rollover, the three sessions before expiry | 44.18 lakh |
Expiry day | 36.13 lakh |
A watchlist does not have to stay the same size through that. In the quiet body of the cycle the practical universe is smaller than fifty names, because the rollover-dependent contracts are not trading. Approaching expiry it widens, and the names that were thin all month become tradeable for a few sessions.
The rollover multiple column tells you which names those are before the week arrives.
We rebuilt the same ranking for August and compared every instrument across the two months.
89 of the hundred names appear in both. That is a more stable core than the July-to-August comparison produced, where 77 carried over. Eleven names entered the September list and eleven left.
Combined Top-100 activity was broadly flat, at 11.40 lakh contracts a day against 11.25 lakh in August.
Where the market moved was sector by sector. Measured on ordinary sessions, with the rollover window stripped out:
Sector group | Change on ordinary sessions |
|---|---|
Private banks | +28.7% |
IT services | +14.5% |
New-age platforms | −4.4% |
Metals and mining | −13.5% |
Capital markets | −14.1% |
NBFC and financials | −25.1% |
PSU banks | −32.1% |
Private banks and technology were the only groups to add participation on ordinary days, and both added materially. Public-sector banks and the non-bank financials gave up between a quarter and a third.
This is the point August made and September repeats. Liquidity rankings are not permanent. A stock that deserves a prominent place on the watchlist today may not deserve it in two months, and the only way to know is to measure it again.
An IB30 or IS30 condition should never be interpreted simply because the alert has appeared. The Liquidity 100 does not change that. What it gives us is context.
Consider two stocks showing a similar Orderflow condition on the same ordinary Tuesday. One trades 15,000 to 20,000 futures contracts on a normal day. The other trades 2,000. Everything else being equal, the first deserves attention sooner, because there is substantially more participation behind the instrument.
The September table makes that comparison easier to run, because it now tells you what a normal day looks like rather than what the month averaged.
Liquidity → Alert → Structure → Context → Decision
The PDF helps with the first step. Vtrender Charts helps with the rest.
For Elite Plus, Elite and Professional members, the September study works as a companion to your existing chart workflow.
Start with the Top 50 of the September Futures Liquidity 100.
Sort that list by the median column, not the average, and build the working watchlist from it.
Note the names with a rollover multiple above 6. They are worth watching in the last week of the cycle and worth less attention in the first three.
Monitor that universe for IB30, IS30 and the other Orderflow conditions you normally use.
The ranking does not tell us whether a stock is bullish or bearish. It does not tell us whether an IB30 or IS30 will succeed. High liquidity by itself is never a reason to take a trade.
What it tells us is narrower. These are the contracts where the market has recently shown the most futures participation, and the median column tells us which of them show it every day rather than once a month.
Over time we want to get better at three separate questions. Where is liquidity? Where is liquidity moving? And what is Orderflow doing once we get there?
August was the first structured attempt at those. September adds the distinction between a busy month and a busy day.
Vtrender Market Structure Desk Vtrender Technologies Private Limited
Market-structure research and charting context only. The liquidity ranking and chart alerts are not buy or sell recommendations