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1996issue C081-3

Volatility-ratio, inside-day and narrow-range-4 entry construction

A historical volatility ratio below 0.5 is joined to an inside day or a narrow-range-4 bar to form one setup. Some constructions then place a buy stop above that bar and a sell stop below it, rather than entering on the close.

  • A historical volatility ratio divides a short-window standard deviation of log one-day close ratios by the same statistic over a much longer window.
  • The setup condition is true only when that ratio is below 0.5 and the same bar is either an inside day or a narrow-range-4 bar.
  • Some constructions then place a buy stop above the setup high and a sell stop below the setup low instead of entering on the setup close.
  • A scanner or alarm can be reduced to the conjunction of the sub-0.5 volatility condition and the range-pattern condition.
Entries in this reading3 entries

A single boolean procedure

The archive codes two screens on the same bar. A historical volatility ratio is formed by dividing a short-window standard deviation of log one-day close ratios by the same statistic over a much longer window. An inside day or a narrow-range-4 bar supplies the range-compression test.

TradersWeek editorial reading: join those tests as one setup condition. Entry, opposing-stop placement, and abstention can then be checked as a single construction rather than as stacked discretionary filters.

How the volatility ratio is coded

A historical volatility ratio is a short-window standard deviation of log one-day close-to-close changes divided by the same statistic over a much longer window.

A six-versus-one-hundred comparison is sometimes coded with five and ninety-nine observations because a 100-session span produces 99 one-day changes. The volatility function can annualize with either 365 calendar days or 250 trading days and can change the period length when bars are daily versus weekly.

Inside day and narrow-range-4

An inside day is a bar whose high is below the prior high and whose low is above the prior low. It is coded as a bar with a lower high and a higher low than the immediately preceding bar.

A narrow-range-4 bar is a session whose high-low range is smaller than each of the prior three session ranges.

The setup condition

The composite setup is true only when the volatility ratio is below 0.5 and the same bar is either an inside day or a narrow-range-4 bar.

A scanner or alarm can be reduced to the conjunction of the sub-0.5 volatility condition and the range-pattern condition.

Stop-breakout entry

After that setup, some constructions place a buy stop above the setup high and a sell stop below the setup low instead of entering on the setup close.

TradersWeek editorial reading: those pending stops are the entry rule. Until one side is reached the construction abstains, and the unfilled stop is the opposing-stop placement.

OEX names meeting the volatility-ratio setup on 11 June 1996

Six OEX names pass the screen as of the close on 11 June 1996: a six-to-100-day historical volatility ratio below 0.5 together with either an NR4 bar or an inside day. Merrill Lynch is the only inside-day hit (ratio 0.3723); the other five are NR4 days. High and low of that bar are the levels a buy-stop / sell-stop construction would use. Numbers are the exact Explorer columns from the source table, not a redraw of the screenshot.
Six OEX names pass the screen as of the close on 11 June 1996: a six-to-100-day historical volatility ratio below 0.5 together with either an NR4 bar or an inside day. Merrill Lynch is the only inside-day hit (ratio 0.3723); the other five are NR4 days. High and low of that bar are the levels a buy-stop / sell-stop construction would use. Numbers are the exact Explorer columns from the source table, not a redraw of the screenshot.OEX stocks (Colgate-Palmolive, Johnson & Johnson, K mart, Merrill Lynch, PepsiCo, Polaroid) · daily close, 11 June 1996 · 1996-06-11T00:00:00.000Z to 1996-06-11T00:00:00.000Z

TechniFilter Plus notes that five- and 99-day standard deviations of log one-day price-change ratios reproduce the article’s six- and 100-day periods, because 100 daily closes yield 99 one-day changes. The MetaStock Explorer in the table uses five and 99 in the same way; TradeStation’s HisVol function uses six and 100 with a 365-day annualiser. WAVE WI$E reports 119 trades / 589 DJIA points on the log-ratio formula from 29 March 1988 to 23 February 1996, versus 532 trades / 973 points if only close-to-close standard deviation is used.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
9 of 25 in the Pattern recognition track
19981-4 pp.Next on Pattern recognitionSliding-window correlation for cup-and-handle constructionA chart shape can be stored as a shorter equal-interval series and scored on every same-length window instead of being accepted or rejected by a simple up-day and down-day rule.
All readings on this track · 25 readings
  1. 1986Construct a decision procedure that revises itself
  2. 1989Finish the volume checklist before scoring the breakout
  3. 1989Constructing supervised forecasts on moving averages
  4. 1991Candlestick labels as stacked construction tests
  5. 1992Walk-forward evaluation of weekly price-change patterns
  6. 1993RSI price pattern templates and open interest
  7. 1994Constructing a dual-net day-ahead index direction forecast
  8. 1994A clocked stochastic second crest with a window-high stop
  9. 1996Volatility-ratio, inside-day and narrow-range-4 entry construction
  10. 1998Sliding-window correlation for cup-and-handle construction
  11. 2000Constructing rectangles for breakout hypotheses
  12. 2001Turning one candle into a ranked numeric object
  13. 2002Fuzzy-scored chart patterns as testable rules
  14. 2002From hot-zones to an open-close-matrix
  15. 2003Volume pressure and a band-clearing breakout case
  16. 2004Evaluating chart patterns against price objectives
  17. 2004Cobweb turning points from price structure
  18. 2005Hybrid decision trees and pattern recognition for trend rules
  19. 2005Two-bar zone codes for testable pattern systems
  20. 2005Price bar pattern construction and next-bar frequency
  21. 2008Observe markets before following pattern or system rules
  22. 2012Treat a four-leg Fibonacci completion as an unpaid hypothesis
  23. 2014Hidden three-channel regression signals for stock and call option entries
  24. 2014A shared daily-chart-level framework for session trades and swing holds
  25. 2015Condensed candlestick signatures
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