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Technical & Price Action

Volume Shockers

Volume Shockers is a Technical & Price Action screen. It checks every NSE-listed stock against 2 conditions computed from nightly data, after excluding heavily pledged promoters and very small market caps. This page explains the rule, each figure and its source. It lists no stocks and is not advice.

What it does and why

Extraordinary trading volume — five times or more the 30-day average in a single session — almost never happens by accident. It indicates that a significant market participant (an institution, a large HNI block deal, a foreign fund building a position) has entered the market in size. Volume is the footprint of smart money: unlike price, which can drift on low-volume days, a genuine volume spike cannot be faked. The smart money trades before news is public; the volume spike often precedes the price announcement. This screener surfaces these anomalies in real time, giving attentive investors the opportunity to research why the volume is occurring before the reason becomes widely known.

The rule, step by step

A stock must satisfy every condition below. Conditions are grouped under the pillar they test.

Volume Anomaly

  • 30-Day Average Volume > 0
  • Daily Volume ÷ 30-Day Average Volume ≥ 3

Hard excludes

  • Promoter pledge above 30% of the promoter's holding
  • Market cap below ₹500 crore
Passes the screen

Ranked by Daily Volume ÷ 30-Day Average Volume, highest first.

The figures it uses

30-Day Average Volume

Used in a condition
Formula
Average daily volume over the 30 bars before the latest bar (whole shares)
Input fields
volume
Source of record
Upstox · public historical candles, NSE_EQ|{ISIN} (no auth)FinEdge · /api/v1/daily-quotes/{symbol} (fallback)
Refresh
Recomputed nightly (06:30 IST job); rows older than 3 days are excluded from screens

Daily Volume

Used in a condition
Formula
Shares traded on the latest daily bar
Input fields
volume
Source of record
Upstox · public historical candles, NSE_EQ|{ISIN} (no auth)FinEdge · /api/v1/daily-quotes/{symbol} (fallback)
Refresh
Recomputed nightly (06:30 IST job); rows older than 3 days are excluded from screens

Promoter Pledge

Hard exclude input
Formula
Pledged shares as a share of the promoter's own holding: pledgedSharesPct ÷ promoter holding × 100; blank when the quarter is not listed
Input fields
pledgedSharesPct, promoter holding
Source of record
FinEdge · /api/v1/shareholdings/summary/{symbol}?period=quarterlyFinEdge · /api/v1/shareholdings/pattern/{symbol}?period=quarterly
Refresh
Recomputed nightly (06:30 IST job); rows older than 3 days are excluded from screens

Market Cap

Hard exclude input
Formula
Close × paid-up equity shares ÷ 10,000,000 (₹ crore)
Input fields
close, paidUpEquityShares
Source of record
Upstox · public historical candles, NSE_EQ|{ISIN} (no auth)FinEdge · /api/v1/daily-quotes/{symbol} (fallback)FinEdge · /api/v1/shareholdings/summary/{symbol}?period=quarterly
Corporate actions
Adjusted for corporate actions before use
Refresh
Recomputed nightly (06:30 IST job); rows older than 3 days are excluded from screens

What each figure means

Volume Ratio (Current vs 30-Day Average)

Today's trading volume divided by the 30-day average daily volume. This screener requires a ratio of at least 5× — today's volume must be at least 5 times the recent average.

High is better

Daily Price Change (%)

The percentage change in price for the current trading session.

Volume + positive price change is the bullish variant (smart money buying). Volume + negative price change could indicate institutional distribution (smart money selling). Both are significant — context matters. The screener surfaces both; direction must be interpreted.

High is better

Try the rule

Type hypothetical values to see which conditions they satisfy. These are not real stocks and nothing here is stored.

  • 30-Day Average Volume > 0—
  • Daily Volume ÷ 30-Day Average Volume ≥ 3—

Enter values to begin

How sensitive is it?

How many stocks pass if this threshold were set differently. Counts only; no stocks are named.

A worked example

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Evidence

What the harness measured

No edge detected

We could not tell this screen's picks apart from the stocks it left out. That is an absence of evidence, not a finding that the screen is wrong; it is still a valid way to narrow a list by your own rules.

AI-generated plain-language explanation

In the past data we checked, the stocks this screen picked did worse than the ones it left out, by more than luck alone would explain. Each month, across the 64 months we have data for, we checked whether the stocks this screen picked did better, over the following month (21 trading days), than the stocks it didn't pick. We score that from -1 (the picks always did worse) to +1 (always did better); 0 means no pattern. This screen scored -0.0156. As a measurement, the score is very small, but clearly below zero. If the screen had no real edge, a score at least this far from zero would show up about 3 in 1,000 by luck alone. That does not mean the screen is wrong; it still works for narrowing a list of stocks by your own rules. This is a record of the past, not a prediction.

This content has been generated with the assistance of artificial intelligence tools by FINOME TECHNOLOGIES PVT LTD. It is for educational purposes only and does not constitute investment advice, a research report, or a recommendation under SEBI (Research Analysts) Regulations, 2014 or SEBI (Investment Advisers) Regulations, 2013. Not investment advice. Issued in compliance with SEBI circular SEBI/HO/MIRSD/MIRSD-SEC-5/P/CIR/2024/149.

Show the exact wording we approved

In the past data we checked, the stocks this screen picked did worse than the ones it left out, by more than luck alone would explain. Each month, across the whole period we have data for, we checked whether the stocks this screen picked did better, over the following month (21 trading days), than the stocks it didn't pick. We score that from -1 (the picks always did worse) to +1 (always did better); 0 means no pattern. This screen scored -0.0156. As a measurement, the score is very small, but clearly below zero. If the screen had no real edge, a score at least this far from zero would show up about 3 in 1,000 by luck alone. That does not mean the screen is wrong; it still works for narrowing a list of stocks by your own rules.

This is a record of the past, not a prediction.

Information coefficient-0.0156-1 to +1; 0 means no pattern
IC p-value0.003how often luck alone would do this
Net Sharpe (out-of-sample)0.08per year, after estimated trading costs
Deflated Sharpe probability0.116Deflated against 2 trialsthe chance it truly beats holding the index, after marking down for flukes
Annual turnover11.8how much of the portfolio is replaced each year
Out-of-sample months64months of portfolio testing, using only what was known at the time
Universe:
Today's Nifty 500 constituents (survivorship-biased: delisted names are absent)
Data window:
2019-04-01 → 2026-09-25
IC basis:
Pattern score: measured across the full period
Portfolio:
Portfolio test: out-of-sample months only; rebalanced monthly, 21 trading days, net of estimated costs, for a fixed position size per stock
Versions:
qp21f-nifty500-2.0.0 / 0.1.0 / 2.0.0
Record:
151ae242-a57

Live monitoring

  • 5-day IC -0.048 · signal date 2026-10-14 · n 4447
  • 22-day IC -0.035 · signal date 2026-09-12 · n 3840

This is a historical, statistical measurement produced by FINOME TECHNOLOGIES PVT LTD's research harness on past data. It is not a prediction, and past results do not indicate future results. The universe is today's Nifty 500 constituents, so the sample is affected by survivorship bias. It describes how a screen's selections behaved in the past and does not constitute investment advice or a recommendation.

Run this screen

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Rule version 1.0.0

Questions

How is this screen calculated?
Each stock is tested against 2 conditions using figures computed from exchange prices and company filings, adjusted for corporate actions. The rule is versioned; this page shows version 1.0.0.
How often does the screen update?
The figures are recomputed once each trading day after the nightly compute. A stock whose figures are more than three days old is left out rather than shown stale.
Is this investment advice?
No. This is educational material describing a screening method. It does not recommend any security and does not consider your circumstances.
Educational use only — GoQuant is a research tool. This page explains a screening method and is not a recommendation. Investment advice is provided by FINOME TECHNOLOGIES PVT LTD (AltQube), SEBI-registered Investment Adviser, registration no. INA000018373, under a signed advisory agreement and after a risk profile. Past performance is not indicative of future results.