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2020issue C1148-56

Multi-timeframe stochastic voting as one mechanical rule

A classic stochastic %K can be computed separately on several calendar or bar-count intervals and reduced to a pair of integer vote totals rather than one blended oscillator line. Those buy-pressure and sell-pressure counts then map into a fully specified long procedure for entry, adding, and exit.

  • Compute a bounded %K independently on each sampling interval and tally oversold and overbought votes instead of blending the readings into one oscillator line.
  • A published daily implementation uses seven voting series that share one stochastic length: six rounded trading-day intervals plus a same-length daily %K.
  • A mechanical long procedure can enter, add, and exit from buy-pressure and sell-pressure counts alone, without discretionary override.
  • The same voting idea can be applied to other overbought and oversold oscillators, but changing the sampled intervals or recoding each timeframe changes the vote series.
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Independent lookbacks, not one blended line

A classic stochastic %K can be computed separately on several calendar or bar-count intervals and then reduced to a single pair of integer vote totals rather than one blended oscillator line. Each reading is a bounded %K from ordered closes versus a lookback high-low range, computed independently on that sampling interval.

Editorial: TradersWeek treats this construction as a committee of independent lookbacks. Each horizon casts one oversold or overbought vote, and the combined count is the object that can be written as a single mechanical procedure.

How each interval votes

One published implementation uses a daily chart and six rounded trading-day intervals of 63, 31, 15, 21, 10, and 5 bars, plus a same-length daily %K, as the seven voting series. The stochastic length used for every interval in that implementation is a single shared input with a default of 21.

Each interval contributes one buy vote when its %K is below an oversold threshold (default 20) and one sell vote when its %K is above an overbought threshold (default 80). A momentum strategy converts those multi-horizon %K readings into buy-pressure and sell-pressure counts and acts only when the counts meet explicit thresholds.

One mechanical long procedure

A mechanical trading system is a fully specified rule set that maps the vote counts into entries, pyramiding, and exits without discretionary override. A mechanical long procedure can be written as: enter when buying pressure is at least 5, add at the next open whenever selling pressure is greater than 0, and exit at the next open when selling pressure equals 0.

The same voting construction is not limited to the stochastic oscillator. Contributors note it can be applied to other oscillators that admit overbought and oversold readings, including RSI and ADX.

The sampled intervals are part of the rule

Changing the set of sampled intervals changes the vote series. One platform substituted 60-minute, daily, weekly, monthly, quarterly, and yearly 21-period readings because it lacked native bi-weekly and half-quarterly chart scales.

A quarter-quarterly interval is described as roughly 3.25 weekly bars or 16.25 daily bars, which one implementer argued may add little information beside bi-weekly (10 trading days) and monthly (22 trading days) scales.

An Excel reconstruction maps every horizon’s vote onto weekly bars so a monthly or quarterly vote is repeated on each week that belongs to that longer period.

Recodings need not match

Independent recodings of the same voting idea on the same symbol can produce buy and sell vote paths that are similar but not identical, because the functions that define each timeframe are not uniquely specified.

Editorial: if the procedure is to stay mechanical, the timeframe definitions belong in the written rule set with the vote thresholds.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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All readings on this track · 51 readings
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  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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