1992issue C081-7
Constructing signed market thrust from issue volume
The conventional trading index is an unsigned ratio of issue breadth to volume breadth. Market thrust rebuilds each session as a signed product of participation and volume that can be split into upthrust and downdraft, then accumulated or averaged.
- The conventional trading index divides the advancing-to-declining issue ratio by the advancing-to-declining volume ratio and treats a reading of 1.00 as neutral.
- Opposite daily readings can make a simple average of that index look stretched even when a long-term form that first sums both sides of issues and volume is neutral.
- Market thrust is the scaled difference between the advancing-issue times advancing-volume product and the declining-issue times declining-volume product, and daily thrust can be split into an upthrust product and a downdraft product.
- The thrust oscillator maps that product difference onto a scale from -1 to +1 and reaches +0.5 only when the advancing product is at least three times the declining product.
Counts, volume, and an unsigned ratio
Market breadth describes how widely buying or selling is participating by pairing daily advancing and declining issue counts with the volume on each side.
The conventional trading index is built as the advancing-to-declining issue ratio divided by the advancing-to-declining volume ratio. A reading of 1.00 on that index is treated as neutral.
How the trading index is averaged
After a 10-day simple moving average, values above 1.20 are treated as oversold and values below 0.80 as overbought.
Opposite daily readings can make a simple average of the index look stretched even when an issue-and-volume-weighted long-term form is neutral. That long-term weighted index first sums advancing issues, declining issues, advancing volume, and declining volume, then forms the same ratio from those totals.
Four classes of internal dynamics
Sessions fall into four internal-dynamics classes by whether issue leadership and volume leadership agree. When they agree, the session is consistent. When they disagree, the session is divergent.
Two days can share the same trading-index reading while one has a 10-to-1 issue ratio and the other only 2-to-1.
A signed oscillator of average volume
A trading oscillator is a signed rewrite of relative average volume, positive when advancing names carry more volume per issue and negative when declining names do. It is bounded by +1 and -1 around a zero balance.
It exceeds +0.5 only when the unsigned index is at or below 0.33, or falls to -0.5 or below only when that index is at or above 3.
Market thrust as a signed product
Volume-price analysis checks whether volume confirms issue leadership by pairing each side of the tape with the volume attached to it, then forming a signed net flow.
Market thrust is the difference between the advancing-issue times advancing-volume product and the declining-issue times declining-volume product, divided by 1,000,000 only as a convenience scale. When the two volumes are equal, market thrust reduces to a scaled advance-minus-decline count.
The thrust oscillator
The thrust oscillator divides that same product difference by the sum of the two products. It ranges from -1 to +1 and reaches +0.5 only when the advancing product is at least three times the declining product.
Upthrust, downdraft, and a running total
Daily thrust can be split into an upthrust product and a downdraft product, then accumulated or averaged. Upthrust is the session product of advancing issues and advancing volume. Downdraft is the session product of declining issues and declining volume.
That split avoids the averaging distortion of the unsigned index and stays consistent with a cumulative advance-decline line. The same cumulative construction used for a running total of signed volume flow can be applied to daily market thrust, so the breadth-volume path can be read as a trend rather than a one-day ratio.
What mixed-tape days can hide
On the worked mixed-tape days, the unsigned index can read neutral, bearish, or overbought while the product-based thrust still shows a one-sided session, a near reversal of equal magnitude such as 980 versus -980, or a dead heat.
Simulated daily market thrust versus the Arms index

Parentheses in the source table are treated as negatives. MT is already scaled by one million as defined in the article. Days 1–5 are Rusin’s January 1992 examples; Days 6–17 were added to cover every internal-dynamics case in Figure 2.
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