1989issue C091-5
Evaluating volume-weighted breadth extremes
Editorial: treat volume-weighted market breadth as a two-step classroom test. First decide whether volume is concentrating in advancing or declining names. Then decide whether that concentration is still building or has already stretched far enough that a contrary reading, a component-smoothed variant, or a simpler up-volume share is the more falsifiable next check.
- A volume-weighted breadth ratio is advances over declines divided by up volume over down volume, which is the same as average volume per declining issue over average volume per advancing issue.
- Under the published definition a high reading is bearish and a low reading is bullish. At excessive extremes the same reading can be flipped and treated as contrary because the volume imbalance is judged unlikely to extend much further.
- Recorded next checks include a 21-day, 40-day, or 55-day average, a 33 percent exponential update treated as roughly a five-week simple average, open-component smoothing, and a three-week up-volume share.
- Editorial: ask first where volume is concentrating, then whether that concentration is still building or already stretched. The recorded 33 percent exponential was described as insufficient on its own.
A two-step classroom test
Editorial: TradersWeek treats volume-weighted market breadth as a two-step classroom test. First decide whether volume is concentrating in advancing or declining names. Then decide whether that concentration is still building or has already stretched far enough that a contrary reading, a component-smoothed variant, or a simpler up-volume share is the more falsifiable next check.
Market breadth is the mix of advancing versus declining issues, read here with the volume that accompanies each side rather than as a raw issue count alone. That comparison is volume-price analysis: activity on advances is set against activity on declines to test whether volume confirms or contradicts the direction of price. On-balance volume is the conceptual cousin of the same question, because it assigns volume to the prevailing price direction and asks whether buying or selling volume is carrying the tape.
Write the ratio, then keep the sign
A volume-weighted breadth ratio can be written as advances over declines divided by up volume over down volume. That construction is the same as average volume per declining issue over average volume per advancing issue.
Under the standard definition, a high reading means declining issues are more active than advancing issues and is treated as bearish. A low reading means the opposite and is treated as bullish. Some chartists invert the ratio so high values are bullish. The established published definition keeps high values bearish.
Editorial: keep the published sign convention fixed before you judge an extreme, or the second step of the test changes meaning.
When an extreme can flip
At excessive extremes, the same reading can be flipped and treated as a contrary signal because the volume imbalance is judged unlikely to extend much further.
Editorial: the flip is a second decision, not a rewrite of the first. The first decision is still whether volume is concentrating in advancing or declining names. The second is whether that concentration has already stretched.
Smoothing already on the record
Recorded smoothing choices include a 21-day average for intermediate work, a 55-day average for longer horizons, a 40-day average, and a 33 percent exponential update treated as roughly a five-week simple average. These are separate ways to slow the raw volume-weighted breadth ratio. They are not additional proofs that the first reading was correct.
Open-component smoothing
An open variant averages each of the four component series first, commonly over 10 days, then applies the ratio. That open-component smoothing is meant so one volatile session cannot dominate every term at once. The same construction can be computed on more than one exchange listing and the three readings can be combined.
Editorial: use this variant when the classroom question has shifted from the latest tape print to whether the four inputs still agree after a short average.
The 33 percent exponential on the record
A 33 percent exponential of the standard ratio was observed as mostly unhelpful for the 1985 advance, mostly neutral through 1985, somewhat bullish in late 1986, bullish into 1987 until 10 weeks before the crash, then bearish five weeks before that crash. It was still described as insufficient on its own.
Editorial: treat that sequence as a historical walk-through of one smoother, not as a claim that the exponential answers both classroom questions.
Up-volume share as a later check
Up volume as a percentage of total volume, smoothed with a three-week average, is treated as a short-horizon demand measure because the tape is said to need buying volume merely to hold even. That up-volume share was described as erratic in 1984 and 1986, more often bullish than bearish in 1985, mostly bullish in the first half of 1987, then bearish nine weeks before the 1987 crash and at its most bearish in more than four years three weeks before the crash.
Editorial: switch to this simpler gauge when the remaining question is short-horizon demand, not when you only want another restatement of the volume-weighted breadth ratio.
Choosing the next falsifiable check
Editorial: after the raw volume-weighted breadth ratio has answered where volume is concentrating, choose the more falsifiable next check rather than stacking every smoother as confirmation. If the reading looks stretched, a contrary treatment is one candidate. If a single session may be dominating the four inputs, open-component smoothing is another. If the question has narrowed to short-horizon demand, up-volume share is the simpler gauge. The archive workflow records those choices. It does not rank them as a finished trading rule.
All readings on this track · 61 readings
- 1988Cumulative volume trend and 200-session polarity
- 1988Three clocks when cumulative volume led price
- 1988Payoff index checkpoints for open interest and divergence
- 1988Relative strength, stochastics, and on-balance volume as a turning-point stack
- 1988Signing volume by open interest change
- 1988Case study: weekly on-balance volume with trendlines and a 21-period average
- 1988Combining weekly and daily MACD divergences with on-balance volume
- 1988Restoring the original tests for market breadth, on-balance volume, and trendlines
- 1989Evaluating volume-weighted breadth extremes
- 1989Demand oscillator construction with a momentum overlay
- 1989Constructing a volume percentage ratio from advance-decline flow
- 1990Constructing net positive volume as On-balance volume
- 1990Buying-share scale with on-balance volume
- 1990Friday-filtered on-balance confirmation lines
- 1991Constructing rate-market volume breadth from on-balance volume
- 1991Building a breadth composite from on-balance volume breakouts
- 1992Constructing a rate-complex volume-breadth index
- 1992Constructing a breadth index from on-balance volume
- 1992Constructing signed market thrust from issue volume
- 1992Constructing indicator phase across averages, volume and bands
- 1993Force on-balance volume to agree with itself at slower horizons
- 1993Three transforms of market thrust from breadth and volume
- 1994Constructing a tick-line momentum oscillator
- 1994Constructing a smoothed on-balance tick momentum oscillator
- 1994Histogram confirmation and a second-series veto for MACD-family alerts
- 1994Constructing a 40-period envelope on on-balance volume
- 1996Constructing a matched percent-B volume disparity
- 1997Constructing calendar regime overlays and volume-weighted rules
- 1997Constructing market thrust from breadth and volume
- 1997Constructing on-balance volume as a signed running total
- 1997A three-layer construction for a signed volume-force oscillator
- 1997Constructing a range-sum volume-force oscillator
- 1999On-balance volume confirmation, price-indicator divergence, and bounded exits
- 2000A daily long-only confirmation stack on the tether line
- 2000A three-filter tether and volume trend system
- 2003Constructing finite volume elements as a finite-period money-flow filter
- 2003Constructing on-balance volume from signed session volume
- 2003On-balance volume as a market-breadth participation ledger
- 2003Construct a volatility-adjusted on-balance volume filter before confirming a breakout
- 2004Opening and midday ranges as an on-balance-volume breakout case
- 2004Constructing a volatility-gated volume-flow measure
- 2004Constructing a volume-flow series from on-balance volume
- 2004Volume-flow indicator construction from on-balance volume
- 2004Volume-flow slope divergence, then separate on-balance-volume and crossover rules
- 2004Volume flow and band construction as one inspectable problem
- 2004Auditing advance-decline confirmation for scale, horizon, and composition
- 2005Bounded market breadth from the Arms index to BRIN
- 2006Overnight-hold entry and exit construction
- 2007Evaluating Volume-price confirmation versus On-balance volume and MACD
- 2009Volume confirmation versus a price advance
- 2010Typeahead retrieval of a moving average, on-balance volume, and a stochastic oscillator
- 2010Modified volume-price trend and log-price scale alignment
- 2010Constructing liquidity accelerometers from advance-decline averages
- 2012Failed short cycles as breadth and volume tests
- 2016Earnings straddles, implied volatility, and money-flow filters
- 2017A volume residual filter and a price projection matrix
- 2019Volume-volatility parabola and signed-volume momentum
- 2019Separating on-balance volume into breadth and volume
- 2020Constructing the obvm signal line
- 2020Constructing smoothed on-balance volume with a signal line
- 2020Keep neutrality as a first-class input in three-state market data