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1996issue C021-9

Constructing breadth, RSI, and stochastic range filters

The archive workflow builds range filters by naming a raw series, locking a lookback-window, mapping that series into the window, and placing the reading on the same chart as price. The same sequence is used for a market-breadth composite, a relative strength index, and the bin densities of a price-distribution function.

  • TradersWeek editorial: Name the raw series, lock the lookback-window, map the series into that window, then place the finished reading on the same chart as price before treating it as a signal.
  • Market breadth starts from an index, advancing issues, declining issues, new highs, and new lows, then becomes advance-decline relative strength and new-high and new-low strength through centered range-rescales.
  • A stochastic relative strength index is a 14-period relative strength index of the close, rescaled inside that RSI lookback high and low.
  • A price-distribution function reports the share of closes in each interval of a lookback high-low range and can feed a signed mobility oscillator.
Entries in this reading3 entries

A shared rescale-and-compare checklist

TradersWeek editorial: Filter construction can be read as one checklist rather than three unrelated studies. Name the raw series, lock the lookback-window, map the series into that window, then park the result on the same chart as price so the reading can be audited before it is treated as a signal.

The named series in this workflow are a market-breadth composite, a relative strength index of the close, or the bin densities of a price-distribution function. A stochastic oscillator is the shared range-rescale: each series is placed inside its recent highest and lowest values before comparison.

Collect the market-breadth workspace

A market-breadth workspace starts by collecting an index, advancing issues, declining issues, new highs, and new lows, then building a composite that subtracts declines from advances. That constructed composite of advancing versus declining issues, new highs, and new lows is the raw input to a range-rescaled filter.

Build the centered breadth filters

Advance-decline relative strength is constructed by centering a 5-bar highest-lowest rescale of the cumulative breadth composite and subtracting the same 5-bar rescale of the companion close.

New-high strength and new-low strength apply that same centered range-rescale to the new-high and new-low series, using lookbacks of 4 bars and 8 bars respectively. Those readings are new-high and new-low strength, each with its own lookback-window.

Place the breadth filters on one chart

The finished breadth filters can be overlaid on a single index chart and, when the source bars are daily, compressed together to a weekly sampling interval.

Documented horizontal references for those constructed series are -30 on advance-decline relative strength, 30 on new-low strength, and -40 together with 40 on new-high strength.

Rescale relative strength index

A stochastic relative-strength-index reading is built by computing a 14-period RSI of the close, locating the 14-period high and low of that RSI, and dividing the distance from the low by that RSI range. Relative strength index is a bounded reading of ordered closes over a stated lookback, used both as a standalone study and as the inner series of that stochastic transform.

Report price-bin density

A price-distribution function reports the share of closes that fall in one interval of a lookback high-low range. One stated parameterization uses interval 6, a 50-bar lookback, and 10 intervals.

A 10-interval, 50-bar report can compute each bin share, the peak share, the modal interval and price, the current close's bin, and a mobility oscillator from the gap between current-bin density and peak density.

Form the mobility oscillator

The same histogram-and-mobility construction can be run with a 14-bar lookback and 10 intervals, then optionally smoothed with a 7-bar average of the mobility reading.

The mobility oscillator takes interval count and lookback as inputs, defaults in one implementation to 10 intervals and 14 bars, signs the reading when the close is below the modal price, and can be called from a rule set for historical testing.

S&P 500, June–November 1995

Traders should see a mid-year advance that leaves a mid-540s base, holds 550–565 through July and August, then climbs through the 580s after Labor Day and prints 607.64 on 29 November. Closes were read off the SmartTrader price pane that sits above the 14-period stochastic RSI, using the 20-point grid and the labeled final print.
Traders should see a mid-year advance that leaves a mid-540s base, holds 550–565 through July and August, then climbs through the 580s after Labor Day and prints 607.64 on 29 November. Closes were read off the SmartTrader price pane that sits above the 14-period stochastic RSI, using the 20-point grid and the labeled final print.S&P 500 · daily · 1995-06-19T00:00:00.000Z to 1995-11-29T00:00:00.000Z

The SmartTrader tip builds stoch_RSI as (RSI−Lowest)/(Highest−Lowest) on a 14-period RSI of the close. That oscillator is in a separate 0–100 pane and is not mixed onto this index scale. All points except the labeled 607.64 close are approximate readings from the daily bars.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
49 of 71 in the Market breadth track
19961-8 pp.Next on Market breadthNew-high and new-low counts as a breadth constructionA new-high or new-low is most often a 52-week extreme, but the same listing can be rebuilt with other lookbacks.
All readings on this track · 71 readings
  1. 1987How a failed rebound, weak breadth, and cycle dates broke the 1987 bull case
  2. 1988Diagnosing market bottoms with breadth, divergence and averages
  3. 1988Diagnosing index tops with breadth divergences
  4. 1988Record highs versus seven-day breadth and divergence
  5. 1989Constructing a percentage-scaled internals composite
  6. 1989Constructing a weekly block-tick breadth z-score
  7. 1989Constructing a dual-rate advance-decline oscillator
  8. 1989Normalize advance-decline series for a common-scale comparison
  9. 1990Unchanged-issue share as a narrow-breadth case study
  10. 1990Evaluating daily and weekly unsigned plurality breadth
  11. 1990Constructing paired new-high and new-low breadth indicators
  12. 1990Ten-day HI/LO extremes as a long-horizon breadth signal
  13. 1990Confirming index cycles with breadth, volume, and waves
  14. 1990Index cycle gates from breadth and volume
  15. 1990Constructing advance-decline breadth indicators
  16. 1990Weekly advance-decline oscillator: weight map, extremes, and spike cycle
  17. 1990Price-weighted construction distorts breadth, support, and trend
  18. 1991A peak-sequence test from the new-highs-to-advances-ratio
  19. 1991Fuzzy rules that turn daily market-breadth into a session consensus
  20. 1991From daily breadth tallies to a weighted consensus signal
  21. 1991Retesting market-breadth when market structure changes
  22. 1991Constructing TRIN as a breadth-volume ratio
  23. 1991Build the market clock before you read a price bar
  24. 1991A construction audit of the long-horizon trading index
  25. 1991Independent formula timers kept as a testable combination
  26. 1992When identical TRIN prints come from different pairings
  27. 1992Grade closing tick before a next-session breadth hypothesis
  28. 1992Noncumulative advance-decline swing confirmation
  29. 1992Five-day sum construction of the trading index
  30. 1992Daily closing-trin extremes and next-day direction
  31. 1992A three-layer audit: regime, breadth, and group RSI
  32. 1992Constructing a nine-state trend, momentum, and breadth score
  33. 1993Constructing a market-volume-impact rating from nested averages
  34. 1993When advance-decline confirmation counts the wrong universe
  35. 1993Constructing breadth momentum from advance-decline smoothing
  36. 1993Constructing a cumulative market-thrust line
  37. 1994Three-horizon construction of the Haurlan index
  38. 1994Checklist-gated session entry in 1993 index futures
  39. 1994Read one advance-decline pair through three windows
  40. 1994Constructing calibrated market-breadth summation indexes
  41. 1994Constructing a two-speed advance-decline oscillator and a calibrated summation
  42. 1995NYSE tick extremes and candlestick reversal entries
  43. 1995Assembling range, breadth, and a stored stop into one procedure
  44. 1995Restating market breadth timing rules as ratios
  45. 1995Constructing breadth ratio gates after lookback drawdowns
  46. 1995Building a short-range breadth and price oscillator
  47. 1996Constructing a smoothed advance-decline trend filter
  48. 1996Smoothed advance-decline alerts at the 1987 and 1990 turning points
  49. 1996Constructing breadth, RSI, and stochastic range filters
  50. 1996New-high and new-low counts as a breadth construction
  51. 1996Constructing the four-input breadth-volume ratio
  52. 1996Constructing the McClellan oscillator and a calibrated summation index
  53. 1996Declare the oscillator seed, then calibrate only the summation index
  54. 1997Three-gate centered strength in market-breadth construction
  55. 1997Daily advance-decline and new-high new-low breadth signals
  56. 1999Index-fund positions as a majority-vote committee
  57. 2000Tick, tiki and TRIN as a three-layer session confirmation stack
  58. 2000Constructing an advance-decline oscillator from one listed tape
  59. 2001Market breadth, beta, and volume-price confirmation
  60. 2001Regime context from relative venue volume, breadth, and intermarket spreads
  61. 2002When NYSE breadth misreads operating-stock participation
  62. 2003Two-gate breadth divergence and a trend filter for rally tops
  63. 2003Market internals confirm or diverge from the index
  64. 2004Constructing the McClellan oscillator and summation index
  65. 2005Intraday index-futures divergence as a three-part session hypothesis
  66. 2005Breadth summation levels as a short-term signal filter
  67. 2005Checking trend versus range with breadth and divergence
  68. 2011Constructing a Nasdaq hi-lo index from highs, lows, and issues traded
  69. 2013Cumulative advance-decline versus a one-year average
  70. 2013A one-year breadth average as a participation gate
  71. 2015Falsifying a healthy correction with breadth and support
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