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1989issue C091-11

Demand oscillator construction with a momentum overlay

Build a demand oscillator by splitting volume into buying pressure and selling pressure, scaling the price-change term with a volatility constant, and plotting the two series as a histogram. A 5- and 10-period momentum overlay then turns zero-line crosses, trend breaks, and divergences into one staged procedure.

  • Assign volume like an on-balance-volume split: on a rise, buying pressure equals volume and selling pressure equals volume plus the scaled percentage price change; on a decline, those assignments reverse.
  • Lift the percentage price change above one with a constant K equal to three times the close divided by the volatility average, a 10-day moving average of the two-day high-low range.
  • Plot buying pressure versus selling pressure as a demand-oscillator histogram, then add 5- and 10-period momentum and read zero-line crosses, momentum trend breaks, and price-momentum divergences.
  • Set the intermediate stance with weekly studies, confirm shorter turns on daily momentum, and substitute the slower demand oscillator when the 5- or 10-day series is too choppy to read.
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Split volume into opposing pressure series

The demand oscillator is a histogram of buying pressure versus selling pressure used to read accumulation versus distribution. Construction starts with an on-balance-volume style assignment of volume to those two series.

On a price rise, buying pressure equals volume and selling pressure equals volume plus the percentage price change. On a price decline, those assignments reverse: buying pressure takes volume plus the scaled percentage price change, and selling pressure takes raw volume.

Scale the price-change term

The percentage price change is first lifted above one by a constant K. K equals three times the close divided by a volatility average, defined as a 10-day moving average of a two-day high-low range.

Plot the demand-oscillator histogram

Buying pressure and selling pressure are plotted as a histogram. Buying pressure above selling pressure is a positive reading and corresponds to the related demand index being above -1. Selling pressure above buying pressure, with the histogram below zero, is a negative reading.

Why a momentum overlay is added

Weekly histogram signals are described as often remaining in force for four to six months, with sell-side turns arriving later than buy-side turns. A 5- and 10-period momentum of the oscillator is added to offset that lag.

Three ways to read demand-oscillator momentum

Demand-oscillator momentum is read in three ways: a cross of the zero line, a break of an uptrend or downtrend in the momentum series, and a positive or negative divergence versus price. Divergence here means a disagreement between a price extreme and the matching high or low of the oscillator or its momentum.

Weekly stance, then daily confirmation

The procedure is staged by horizon. Weekly studies set the intermediate stance. Daily 5- and 10-period momentum is then read for shorter turns, extremes, and multi-week divergences.

In one daily equity-index example, five-day momentum ranged from -0.37 to 0.35. Turns from those extremes were treated as short-horizon clues, while several-week divergences and overbought or oversold readings on the 5- or 10-period series were treated as the more important conditions.

When the 5- or 10-day momentum becomes too choppy to read, the procedure substitutes the slower demand oscillator and the weekly studies rather than forcing short-horizon momentum signals.

The same three signals across markets

Worked weekly and daily examples on an equity index, interest-rate futures, gold, and the yen illustrate the same three signal types: zero-line crosses, breaks of momentum trend lines, and price-momentum divergences. Those examples include cases where buying-pressure trend breaks preceded a later decline.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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19891-7 pp.Next on On-balance volumeConstructing a volume percentage ratio from advance-decline flowBuild participation as three layers: a smoothed total-volume line, separate advancing and declining volume averages, and a volume percentage ratio of those two streams as shares of total volume.
All readings on this track · 61 readings
  1. 1988Cumulative volume trend and 200-session polarity
  2. 1988Three clocks when cumulative volume led price
  3. 1988Payoff index checkpoints for open interest and divergence
  4. 1988Relative strength, stochastics, and on-balance volume as a turning-point stack
  5. 1988Signing volume by open interest change
  6. 1988Case study: weekly on-balance volume with trendlines and a 21-period average
  7. 1988Combining weekly and daily MACD divergences with on-balance volume
  8. 1988Restoring the original tests for market breadth, on-balance volume, and trendlines
  9. 1989Evaluating volume-weighted breadth extremes
  10. 1989Demand oscillator construction with a momentum overlay
  11. 1989Constructing a volume percentage ratio from advance-decline flow
  12. 1990Constructing net positive volume as On-balance volume
  13. 1990Buying-share scale with on-balance volume
  14. 1990Friday-filtered on-balance confirmation lines
  15. 1991Constructing rate-market volume breadth from on-balance volume
  16. 1991Building a breadth composite from on-balance volume breakouts
  17. 1992Constructing a rate-complex volume-breadth index
  18. 1992Constructing a breadth index from on-balance volume
  19. 1992Constructing signed market thrust from issue volume
  20. 1992Constructing indicator phase across averages, volume and bands
  21. 1993Force on-balance volume to agree with itself at slower horizons
  22. 1993Three transforms of market thrust from breadth and volume
  23. 1994Constructing a tick-line momentum oscillator
  24. 1994Constructing a smoothed on-balance tick momentum oscillator
  25. 1994Histogram confirmation and a second-series veto for MACD-family alerts
  26. 1994Constructing a 40-period envelope on on-balance volume
  27. 1996Constructing a matched percent-B volume disparity
  28. 1997Constructing calendar regime overlays and volume-weighted rules
  29. 1997Constructing market thrust from breadth and volume
  30. 1997Constructing on-balance volume as a signed running total
  31. 1997A three-layer construction for a signed volume-force oscillator
  32. 1997Constructing a range-sum volume-force oscillator
  33. 1999On-balance volume confirmation, price-indicator divergence, and bounded exits
  34. 2000A daily long-only confirmation stack on the tether line
  35. 2000A three-filter tether and volume trend system
  36. 2003Constructing finite volume elements as a finite-period money-flow filter
  37. 2003Constructing on-balance volume from signed session volume
  38. 2003On-balance volume as a market-breadth participation ledger
  39. 2003Construct a volatility-adjusted on-balance volume filter before confirming a breakout
  40. 2004Opening and midday ranges as an on-balance-volume breakout case
  41. 2004Constructing a volatility-gated volume-flow measure
  42. 2004Constructing a volume-flow series from on-balance volume
  43. 2004Volume-flow indicator construction from on-balance volume
  44. 2004Volume-flow slope divergence, then separate on-balance-volume and crossover rules
  45. 2004Volume flow and band construction as one inspectable problem
  46. 2004Auditing advance-decline confirmation for scale, horizon, and composition
  47. 2005Bounded market breadth from the Arms index to BRIN
  48. 2006Overnight-hold entry and exit construction
  49. 2007Evaluating Volume-price confirmation versus On-balance volume and MACD
  50. 2009Volume confirmation versus a price advance
  51. 2010Typeahead retrieval of a moving average, on-balance volume, and a stochastic oscillator
  52. 2010Modified volume-price trend and log-price scale alignment
  53. 2010Constructing liquidity accelerometers from advance-decline averages
  54. 2012Failed short cycles as breadth and volume tests
  55. 2016Earnings straddles, implied volatility, and money-flow filters
  56. 2017A volume residual filter and a price projection matrix
  57. 2019Volume-volatility parabola and signed-volume momentum
  58. 2019Separating on-balance volume into breadth and volume
  59. 2020Constructing the obvm signal line
  60. 2020Constructing smoothed on-balance volume with a signal line
  61. 2020Keep neutrality as a first-class input in three-state market data
All 88 readings tagged On-balance volume
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