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2005issue C011-14

Constructing a multi-filter penny stock breakout procedure

A breakout mark is placed on the close only when volume, trend, momentum and volatility tests all pass on the same bar, rather than when any single chart condition fires.

  • The procedure marks a close only when every listed Boolean test is true on that bar.
  • MACD, slope bands, volatility-adjusted ADX, compressed variability, signed volume and two price-structure checks are independent gates, not standalone trades.
  • Slope and variability tests are written to keep the setup in a quiet, compressed base rather than a steep prior trend.
  • An independent reconstruction can be checked against the same filter family rather than against a single chart pattern.
Entries in this reading3 entries

Several filters, one close mark

The breakout procedure generates a mark on the close only when every listed Boolean test is true on the same bar, rather than when any single indicator fires. The listed tests cover momentum, prior trend, volatility-adjusted trend intensity, compressed variability, signed volume and two price-structure checks.

In platform terms this is a show-me overlay. The bar is marked only when every Boolean condition in the procedure is simultaneously true.

Momentum as a histogram gate

The MACD filter is a price-momentum oscillator built from two exponential averages of close. It is computed from close with a 9-period fast length and a 20-period slow length, then turned into a histogram by subtracting a 9-period exponential average of that MACD.

The MACD histogram must exceed a threshold of -0.003 before that momentum condition is counted as true. A histogram that fails the threshold leaves the whole conjunction false on that bar.

Slope bands for a quiet base

Normalized close slopes over 35, 70 and 170 bars must stay inside separate band tests. Each linear-regression slope is a normalized slope of close over its lookback window.

The three windows are not treated as trend-following triggers. They keep the setup in a quiet base instead of a steep prior trend. If any window leaves its band, the breakout mark is withheld.

A volatility-adjusted trend block

A volatility-adjusted ADX term is formed by multiplying 25-period average directional index by 30-period standard deviation of close divided by its 30-period average. That product must stay below 1.3.

Average directional index is used here as a trend-strength measure scaled by normalized price variability. The product blocks the breakout when volatility-adjusted trend intensity is too high.

Compressed variability

A three-bar stochastic of normalized standard deviation over a 150-bar lookback must stay below 20 so that only compressed variability qualifies.

The ranking starts from price standard deviation divided by a moving average, then scores that ratio as a stochastic. Wide or expanding variability fails the test even if other filters pass.

Signed volume after a cutoff

Finite-volume-element scoring first builds a cutoff from intra-bar and inter-bar log-range variability, then signs volume only when money flow exceeds that cutoff. The resulting percentage must exceed -1.

The accumulator classifies each bar as buying or selling pressure after money flow is compared with that volatility-scaled cutoff. Volume that never clears the cutoff does not contribute a signed reading, and a percentage at or below -1 keeps the conjunction false.

Location and slow K

Two further price-structure tests require close above a 10-period exponential average and 10-period slow K above 30.

Slow K is a bounded oscillator of close versus its recent range. It is used as confirmation that price is not sitting at an exhausted low when the other gates are already true.

The same filter family, reconstructed

An independent platform reconstruction uses the same family of filters, including finite volume element, three regression-slope windows, MACD, a standard-deviation stochastic, an exponential-average location test, an ADX times normalized-deviation product, and a slow stochastic confirmation.

The reconstruction is useful only as a check that the conjunction is fully specified. It does not replace the same-bar Boolean rule that issues the mark.

VION breakout returns with a 10% volume cap

Capping each fill at one-tenth of that day's volume, AmiBroker's reconstruction of the multi-filter penny-stock rules turns a $10,000 VION book into $32,772.65 — 227.73% total and 27.97% a year. The 187.25% and 1,524.77% risk-adjusted lines look larger because the account is only in the market 14.94% of the time. Every figure is copied from the on-screen backtest table, not traced from the price pane.
Capping each fill at one-tenth of that day's volume, AmiBroker's reconstruction of the multi-filter penny-stock rules turns a $10,000 VION book into $32,772.65 — 227.73% total and 27.97% a year. The 187.25% and 1,524.77% risk-adjusted lines look larger because the account is only in the market 14.94% of the time. Every figure is copied from the on-screen backtest table, not traced from the price pane.VION · Daily · 2000-01-01T00:00:00.000Z to 2004-11-08T00:00:00.000Z

The original article's 2,728% VION result assumed compounding into tickets as large as the day's tape (about 50,000 shares near $0.30 in April 2004). This run shrinks any ticket that exceeds 10% of daily volume.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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20051-1 pp.Next on Average Directional IndexConstruct one playbook that flips with session regimeClassify the session with the average directional index before any long or short rule is allowed to fire.
All readings on this track · 56 readings
  1. 1986Cycle-aligned directional trend indicator
  2. 1987What crossover and directional entry rules actually compare
  3. 1988A directional-line cross needs a trend filter, an extreme-point rule, and a dollar stop
  4. 1988Constructing true range by offset addressing
  5. 1988Constructing directional movement from bar range
  6. 1988Average directional index construction: recursive smoothing and lookback offset
  7. 1988Staged Average Directional Index construction with Relative Strength Index confirmation and stop alerts
  8. 1988Average Directional Index construction with frozen true range and directional rules
  9. 1991Constructing the average directional index from range expansion and true range
  10. 1991Constructing five-session forecasts from stochastic, ADX, and MACD inputs
  11. 1993Constructing the average directional index from directional movement and true range
  12. 1993Confirming n-bar breakouts with ADX and DX filters
  13. 1994Constructing a Bollinger band-width trend filter
  14. 1994A pre-trade checklist that can refuse a long three ways
  15. 1997An ADX threshold and a moving average as a trend filter
  16. 1998Regime filters for mutated indicators
  17. 1999Building the average directional index from range extension and true range
  18. 2000Evaluating ADX, RSI, and moving averages in a multi-stock warehouse
  19. 2000Stochastic pop as a filtered continuation setup
  20. 2000Onset and exit from one average directional index
  21. 2002Joint ADX and MACD readout for trend strength and direction
  22. 2003Adaptive Donchian breakout with implied volatility and volume
  23. 2004The average directional index as a regime gate for the relative strength index and the stochastic oscillator
  24. 2004Constructing true-range-specified volume as a directional filter
  25. 2005Constructing a multi-filter penny stock breakout procedure
  26. 2005Construct one playbook that flips with session regime
  27. 2005Combining Bollinger Bands, the average directional index, and Fibonacci retracement on currency pairs
  28. 2006Assembling an adaptive price zone from double-smoothed averages
  29. 2006An ADX strength gate for MACD and the stochastic oscillator
  30. 2007Directional movement as a filter plus trigger
  31. 2007Constructing a veto-first trend permission stack
  32. 2007ADX gates for trend end, range, and reversal
  33. 2008Constructing a nine-cell directional-ratio grid
  34. 2008Average directional index and directional trend indicator lookbacks as trend-filter parameters
  35. 2008A holding-matched market lens from averages and directional-line crosses
  36. 2008A nine-cell directional scoreboard for multi-horizon entries
  37. 2010Building a Vortex Indicator from high-low distances
  38. 2010Constructing ADX, RSI, and MACD price filters
  39. 2011Constructing a volume zone oscillator with a moving-average and Average Directional Index regime filter
  40. 2011A volume zone oscillator conditioned by an Average Directional Index filter
  41. 2011Candlestick names need volume-price, ADX, and moving-average checks
  42. 2012Clustered average-directional-index traces as a trend-start filter
  43. 2012Average Directional Index cluster filters for trend-start signals
  44. 2012Confirming a trend start or turn with a triple ADX cluster
  45. 2013Constructing a late-entry stack from a signed DMI oscillator
  46. 2013A directional oscillator and its stochastic as a stacked timing filter
  47. 2013ADX cluster lookbacks are a locked specification, not a chart label
  48. 2013Combining moving averages, stochastics, and ADX in a daily scan
  49. 2015Assembling the Average Directional Index from directional movement
  50. 2016How an Average Directional Index filter and a breakout entry form one procedure
  51. 2016Score RSI and stochastic crossings only when ADX confirms the trend
  52. 2018Constructing an ADX filter for intraday breakouts
  53. 2018An ADX volatility gate for prior-day breakouts
  54. 2019Exponential deviation bands with a moving average, RSI and ADX
  55. 2020A normalized-slope trend filter from linear regression
  56. 2020Gating volatility-momentum divergences with a Trend filter
All 71 readings tagged Average Directional Index
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