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1990issue C051-5

Constructing paired new-high and new-low breadth indicators

Daily New York Stock Exchange new highs and new lows become a cycle-position map when each series is an exponential average, the new-low average is inverted, and both series share a 100 to 200 trading-day window. Confirmation and non-confirmation are then displayed-window states, not implied price calls.

  • Seed each exponential average with the arithmetic mean of the first five observations, then update it with a 0.1 smoothing constant. Scale position, not the raw value, is the working signal.
  • Invert the new-low average so low readings sit at the top. On a combined plot, each series uses its own period low as its floor and they share the higher of their highs across 100 to 200 trading days.
  • Confirmation is a displayed-window state in which both a price average and the paired breadth average reach a new extreme. Non-confirmation is a price extreme that the breadth average does not match.
  • Build the pair only from New York Stock Exchange counts, and use it to locate position inside long cycles of two to five years and short cycles of 40 to 400 trading days.
Entries in this reading3 entries

Build the pair before reading it

New-high and new-low cycle tools are constructed as exponential moving averages of daily New York Stock Exchange new highs and new lows. The archive treats the finished pair as a map of cycle position, not as a session-to-session timing device.

Editorial reading: exponential smoothing, an inverted new-low scale, and a shared 100 to 200 trading-day window turn those daily counts into displayed states. Confirmation and non-confirmation can then be checked on the chart instead of being treated as implied price calls.

Seed, smooth, and invert

The exponential average is seeded with the arithmetic mean of the first five observations and then updated with a smoothing constant below one. Both averages use a 0.1 smoothing constant.

The new-high average is described as useful for checking upside moves and not useful on downside moves. The new-low average is presented as the stronger tool for defining cycles. That new-low average is plotted on an inverted vertical scale so low readings sit at the top.

Relative chart position is treated as the signal. The raw values are not.

Share a period, not a raw scale

On a combined plot each series uses its own period low as its floor and they share the higher of their highs. A useful shared window is 100 to 200 trading days.

Period means the number of trading sessions shown on the chart. Lengthening or shortening that window can make a period-sensitive construction misleading.

Turn extremes into testable states

Confirmation is a displayed-window state in which both a price average and the paired breadth average reach a new high or a new low. Non-confirmation is a displayed-window state in which a price average reaches a new extreme and the paired breadth average does not.

Two constructed watch states sit on that pair. One is a price average crossing a new-low reading above 10. The other treats a new-high confirmation of a price high as valid only when the new-low reading is not above 10.

The first of those watch states is a penetration: the price average crosses the plotted new-low average after that average has moved a stated distance from the bottom of its scale.

Paired NHI/NLI vs DJIA, Jan–Jun 1989

Exponential new-high and inverted new-low averages on a shared 0–100 window, with DJIA overlaid. NHI confirms the June 1989 price high while NLI sits near 4 percent — the construction the article uses to map cycle position. Values were read off the plotted curves, not from a table.
Exponential new-high and inverted new-low averages on a shared 0–100 window, with DJIA overlaid. NHI confirms the June 1989 price high while NLI sits near 4 percent — the construction the article uses to map cycle position. Values were read off the plotted curves, not from a table.DJIA / NYSE new highs and new lows · daily · 1989-01-01T00:00:00.000Z to 1989-06-30T00:00:00.000Z

NHI and NLI use a 0.1 exponential smoothing constant on NYSE daily new highs and new lows; the displayed window is about 100 trading days. NLI is inverted (0 at the top of its scale). Digitised from the raster, so levels are approximate.

Keep the cycle window and the exchange list

The pair is framed for locating position inside long cycles of two to five years and short cycles of 40 to 400 trading days. It is framed only when built from New York Stock Exchange counts rather than other U.S. exchange lists.

In long cycles of two to five years, the new-high average is described as peaking after 50 percent to 60 percent of the eventual advance and later failing to confirm short-term tops as the long cycle matures.

Archive chart states

Chart examples show a new-high series confirming successive industrial-average highs, then a later confirmation with the new-low series near 4 percent of its scale.

They also show an unconfirmed 1987 industrial-average high, and a 1981 confirmation later followed by a price cross of a new-low reading of 15.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
11 of 71 in the Market breadth track
19901-2 pp.Next on Market breadthTen-day HI/LO extremes as a long-horizon breadth signalMarket breadth starts as daily new-high and new-low counts and becomes a HI/LO index: a 10-day percentage of new highs versus the combined high-and-low total.
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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