Learn · Price structure 5 min read Reviewed

Daily Std Deviation Screener: Rank Unusual Daily Moves by Z-Score

The Daily Std Deviation Screener compares each symbol's latest daily move with the distribution of its own recent daily moves and ranks the results by how stretched the move is. It answers a simple question: which moves are unusual for that particular instrument? This guide explains the columns, the sigma tags, the lookback and universe controls, and how to avoid reading a z-score as a signal.

The idea: a move relative to its own history

A 2% move is ordinary for one stock and extreme for another. The screener ranks end-of-day daily move statistics so you can judge how stretched a move is relative to the symbol's own behaviour. A z-score expresses the latest move in standard deviations from that symbol's mean daily move over the chosen lookback.

Columns
GroupColumnMeaning
MoveLatest moveThe most recent daily percentage move.
MoveMean moveThe average daily percentage move over the lookback.
DispersionStd devThe standard deviation of daily moves, in percent.
DispersionZ-scoreThe latest move measured in standard deviations from the mean.
DispersionOne sigma points, average absolute move, extremes, sessionsContext for how large a one-sigma move is in points, the typical size of a daily move, the extreme moves in the window and how many sessions were used.

Each row also carries a tag based on the absolute z-score: 2 Sigma when it is 2 or higher, 1 Sigma when it is between 1 and 2, and Normal below 1.

Controls

  • Universe. All, Index, Stocks, F&O, Cash or Commodity.
  • Lookback. 21, 30, 60, 90 or 252 sessions. A short window adapts quickly to recent volatility; a long window is steadier but slower to reflect a change in regime.
  • Sort. By absolute z-score, signed z-score, latest move, standard deviation, mean move, volume or symbol, ascending or descending.
  • Rows. 100, 200, 300 or all rows. Click a symbol to open its detailed distribution, sigma bands and a one-month style move profile.

Using it

  1. Start by sorting on absolute z-score to isolate the most stretched moves, then read the latest move and standard deviation together.
  2. Check volume and the news. A large move on thin volume or with no catalyst is read differently from one on heavy volume after results.
  3. Open the symbol detail to see where today's move sits in the distribution and how often similar moves occurred.
  4. Decide which question you are asking: continuation after a strong move, or mean reversion after an extreme one. The z-score does not choose between them; use price structure and other tools, such as the mean reversion screener.

Limits

The screener ranks statistically unusual moves, and it is not a buy or sell signal by itself. Daily returns are not perfectly normal and have fatter tails than a bell curve, so moves beyond two sigma happen more often than the textbook figure suggests. The window you choose changes the answer, a single large earlier move inflates the standard deviation, and a stock that has just changed regime will look unusual against an old window. For how a move compares with a price threshold, see the price threshold analysis guide.

FAQ

Daily Std Deviation Screener: frequently asked questions

01What does a z-score of 2 mean?

The latest move is two standard deviations away from the symbol's mean daily move over the chosen lookback, which is unusual for that symbol. It does not say what will happen next.

02Why does the lookback matter?

A short window reflects recent volatility and a long window reflects a longer history. The same move can look extreme against one and ordinary against the other.

03Is a high z-score a signal to buy or sell?

No. It identifies unusual moves. Whether they continue or reverse depends on volume, news and price structure, so confirm with other evidence.

04Can I open the detail for one symbol?

Yes. Click a symbol to see its distribution and sigma bands, or open the page with a different ticker in the address.

Next steps

Open the live tool on NSE data, then continue with the related walkthroughs.

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