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2001issue C081-6

Constructing a non-range-bound balance of market power score

Balance of market power is a daily bull-minus-bear score built from three range-normalized rewards so the reading stays sensitive at extremes. The historical workflow then reads the raw and averaged path for reversal, divergence, and breadth-style confirmation.

  • Balance of market power measures which side can push price to an extreme and is deliberately not range-bound, so readings stay as sensitive at extremes as elsewhere.
  • Each session gives bulls and bears three range-normalized rewards. Each side's daily reward is the average of those three, and the score is the bull daily reward minus the bear daily reward.
  • On daily charts the score is typically smoothed with a 14-day average. Sharp v-shaped extremes near a previously respected high or low raise the chance of a price reversal, though price and the score can still extend.
  • The same construction supports divergence, trend, and overbought-oversold readings. A short-horizon break is treated as confirmed only when a longer average agrees, and a longer-horizon version can serve as a breadth-style participation check.
Entries in this reading3 entries

What the score measures

Balance of market power measures which side can push price to an extreme. The constructed score is deliberately not range-bound, so readings stay as sensitive at extremes as they are elsewhere.

Each session assigns bulls and bears three range-normalized rewards: movement from the open toward the high or the low, movement from the opposite extreme to the close, and an extra open-to-close score only for the side that finished the day.

Three range-normalized rewards

The reward based on the open is the share of the day's high-low range that each side captured by moving price from the open toward the high or the low. The open-based bull reward is the open-to-high distance divided by the high-low range. The open-based bear reward is the open-to-low distance divided by the same range.

The reward based on the close is the share of the day's high-low range that each side captured by moving price from the opposite extreme to the close. The close-based bull reward is the low-to-close distance divided by the high-low range. The close-based bear reward is the high-to-close distance divided by the same range.

The reward based on the open-close is an extra range-normalized score given only to the side that finished the session in its favor, from open to close. If the close is above the open, only bulls receive the open-close reward of close minus open over the high-low range. Otherwise only bears receive the symmetric open minus close reward.

How the daily score is combined

Each side's daily reward is the simple average of its three rewards for that session. The indicator is the bull daily reward minus the bear daily reward.

Smoothing and v-shaped extremes

On daily charts the constructed score is typically smoothed with a 14-day average. The lookback is changed to match the market and the chosen time frame.

The score tends to form sharp v-shaped extremes: pointed highs or lows at prior support or resistance, rather than a lingering overbought or oversold band. Approach to a previously respected high or low raises the chance of a price reversal, even though price and the score can still extend.

Confirmation, divergence, and participation

The same construction supports divergence, trend, and overbought-oversold readings. Divergence is a repeatable mismatch between price structure and the constructed score that can be stated as a falsifiable trade hypothesis.

A dual-horizon average uses a shorter and a longer moving average of the same score together. A short-horizon trend break is treated as confirmed only when the longer path agrees.

A longer-horizon version of the same score can be used as market breadth: a chart-scale participation reading that judges whether bulls or bears still control the tape. A major low is hypothesized only if the score reaches a downside extreme comparable to a prior upside extreme.

A momentum strategy turns the constructed score, its moving average, and explicit hold-or-stand-aside rules into one entry, exit, and abstention system.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
29 of 51 in the Momentum strategy track
20041-4 pp.Next on Momentum strategyCleaned breadth oscillator and new-high divergence: a swing-market case fileExchange-wide advance-decline totals were set aside for a common-stock-sample that dropped preferreds, closed-end funds, foreign listings, real-estate investment trusts, and sub-threshold penny moves.
All readings on this track · 51 readings
  1. 1984Half-cycle differencing for momentum signals
  2. 1987Relative strength evaluation under competing optimization criteria
  3. 1988Weekly MACD as a two-clock momentum confirmation stack
  4. 1989Equal-weight zero-cross from smoothed spreads
  5. 1989Testing relative-strength-index reversal rules against trend continuation
  6. 1989Smoothed three-day futures filter for index option bounces
  7. 1989Cycle-length windows for momentum, Relative Strength Index, and stochastic construction
  8. 1991Filtered rally magnitude as a bull-regime breakout
  9. 1992Constructing true strength from double-smoothed momentum
  10. 1992Constructing a double-smoothed true strength index
  11. 1993When momentum structure and breadth break together
  12. 1993Constructing double-smoothed range and momentum oscillators
  13. 1993Constructing a two-parameter relative momentum index
  14. 1993Building a bounded momentum oscillator with RSI smoothing
  15. 1993Two-speed oscillators with divergence and trendline gates
  16. 1993Constructing a relative momentum index from the relative strength index
  17. 1994Constructing daily advance-decline breadth tools
  18. 1994Building a composite regime score from monetary climate and weekly trend
  19. 1994Averaging Relative Strength Index and the stochastic oscillator into one reversal oscillator
  20. 1995Dividend-yield regression as a hold versus momentum gate
  21. 1996Jump and hold filters for long-term Treasury yield direction
  22. 1997Constructing extendedness from a 10 percent swing filter
  23. 1997A range-expansion oscillator that can refuse its own stretch
  24. 1997RSI trend permission and Fibonacci pullback rules
  25. 1998Nested midpoint construction for a range-normalized oscillator
  26. 1999Evaluating Relative Strength Index momentum with zero-line and threshold rules
  27. 1999Treat RSI and momentum as three mechanical procedures
  28. 2000Thrust strength figure from moving-average swings
  29. 2001Constructing a non-range-bound balance of market power score
  30. 2004Cleaned breadth oscillator and new-high divergence: a swing-market case file
  31. 2004Evaluating advance-issues-momentum on a fixed-symbol-basket
  32. 2004Constructing a trend filter from two adjacent high-low windows
  33. 2006A dollar-versus-commodity extreme as a regime case
  34. 2008Zero-centered stochastic bands and bracket stops
  35. 2012Evaluating engulfing momentum across hold windows
  36. 2012Staged stops as one mechanical entry and exit procedure
  37. 2012Stacking a relative-strength-index forecast, a trend filter, and long-only momentum
  38. 2013Constructing fair-value filters from averages and momentum
  39. 2014Constructing a multi-window slope divergence entry
  40. 2015Bandedge trend filter construction with inverse crossover rules
  41. 2017Opposite rules for index price and volatility momentum
  42. 2018A three-state overlay that colors a trend only after the line clears the bar
  43. 2018Half-cycle relative-strength index with a Fisher map for cyclic reversals
  44. 2018Emotion as a rule input when momentum breaks
  45. 2018Two-bar body expansion as a momentum breakout construction
  46. 2019Pair a two-day high breakout with a volume-weighted exit on the same chart
  47. 2020Building reflex and trendflex cross and extreme entry rules
  48. 2020Construct a dual-series price momentum oscillator overlay
  49. 2020A multi-timeframe stochastic as a panel of weekly voters
  50. 2020Centerline crossovers that compare index momentums
  51. 2020Multi-timeframe stochastic voting as one mechanical rule
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