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2000issue C071-5

Constructing a Bollinger Band target as a forward price

A band-target construction restates a two-standard-deviation, 30-period Moving average penetration rule as the unknown next price that would make the close sit on the band. Because that unknown price also enters the standard-deviation term, the equality is a quadratic that can have one solution, two solutions, or no solution.

  • A band-target construction restates a two-standard-deviation, 30-period Moving average penetration rule as the unknown next price that would make the close sit on the band, so the system can plot the trigger instead of guessing it.
  • The unknown price enters both the Moving average and the standard-deviation term, so the band-penetration equality is a quadratic that can have one solution, two solutions, or no solution.
  • When the band retreats faster than price can reach it, the quadratic has no real root, the penetration rule is locked out, and the system cannot fire that period's signal.
  • Unsolved or hidden lockouts suppress later trades and inject error into any backtest, so unusually wide Bollinger Bands or unusually short Moving average lengths need to be checked before System optimization.
Entries in this reading3 entries

Restate the penetration as a forward target

A band-target construction restates a two-standard-deviation, 30-period Moving average penetration rule as the unknown next price that would make the close sit on the band. The system can then plot the trigger instead of guessing it.

The unknown price makes a quadratic

Because the unknown price enters both the Moving average and the standard-deviation term, the band-penetration equality is a quadratic. That quadratic can have one solution, two solutions, or no solution.

Lockout and a misleading single root

When the band retreats faster than price can reach it, the quadratic has no real root. The penetration rule is locked out, and the system cannot fire that period's signal.

A single-root case can still mislead a system if price later moves past the contact point. The construction then behaves as if the band was never reached.

Step the unknown price

The supplied construction finds the first feasible root by stepping the unknown price in 0.01 increments. It rebuilds the average and standard deviation at each step until the distance to the band is zero or stops shrinking.

Coarser step sizes speed the nested-loop search but reduce the accuracy of the solved target price.

Upper-band and lower-band targets are computed as separate procedures so the sign of the distance test and the direction of the price step stay consistent with each band.

What the construction returns

If a root exists the construction returns the target price, its percent change from the last close, and a flag of 1. If lockout occurs it returns the closest vertex price, the matching percent change, and a flag of 0.

Unsolved or hidden lockouts do not only suppress later trades. They also inject error into any backtest of the band-penetration system.

Archive testing associates lockout with unusually wide bands or unusually short Moving average lengths. Those construction choices need to be checked before a system is optimized.

Dow Industrials daily price with Bollinger Bands and the lower-band target

A late-1999 rally carries the daily Dow from mid-band up through the upper two-sigma line, then the first sessions of 2000 fall back toward the lower band. The 6 January 2000 snapshot prints close 11277.77, upper band 11636.34 and lower band 11091.684; earlier price and band points were read from that same TradeStation scale. Blue markers on the last five sessions are the solved lower-band penetration prices; the matching upper-band targets sit above the plotted window.
A late-1999 rally carries the daily Dow from mid-band up through the upper two-sigma line, then the first sessions of 2000 fall back toward the lower band. The 6 January 2000 snapshot prints close 11277.77, upper band 11636.34 and lower band 11091.684; earlier price and band points were read from that same TradeStation scale. Blue markers on the last five sessions are the solved lower-band penetration prices; the matching upper-band targets sit above the plotted window.Dow Industrials · Daily · 1999-12-02T00:00:00.000Z to 2000-01-06T00:00:00.000Z

Cotton computes the Top StdDev Bogie only on the last five sessions and prints 11696.95 for 6 January; those upper penetration prices sit off the visible 10900–11900 scale. Digitized points before the last bar are approximate to the nearest ten index points. The sidebar simulator defaults to length 15, two standard deviations and a one-cent step; the prose rule cites a 30-day average.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
15 of 45 in the Bollinger Bands track
20011-7 pp.Next on Bollinger BandsNumeric candlestick encoding with local size bandsEach bar is split into a body, an upper shadow, and a lower shadow computed from open, high, low, and close.
All readings on this track · 45 readings
  1. 1992Constructing volatility-scaled bands with relative strength index confirmation
  2. 1994Implied volatility as a band-defined regime filter for index options
  3. 1995Constructing projection bands from least-squares slopes
  4. 1995Constructing regression projection bands and range oscillators
  5. 1996Constructing Bollinger bands, percent-b, and stochastics
  6. 1996Constructing mechanical rules from Bollinger Bands and stochastics
  7. 1996Constructing a standard-error envelope around a linear regression
  8. 1996Dual-horizon ratio envelopes and regression error channels
  9. 1997Rational group structure with a trend screen, RSI, and bands
  10. 1997Asymmetric volatility band construction
  11. 1998Constructing three-state filters from Bollinger band envelopes
  12. 1999Combination filters with Bollinger Bands and the relative strength index
  13. 1999Constructing stochastic timed exits and band-RSI reversals
  14. 1999Evaluating Bollinger Bands against fixed-width and range-based envelopes
  15. 2000Constructing a Bollinger Band target as a forward price
  16. 2001Numeric candlestick encoding with local size bands
  17. 2001Ranked candlestick sentiment to band-cross entries
  18. 2002Combining Bollinger Bands, RSI, and a stop-loss
  19. 2002Bollinger Bands remain filters, not forecasts
  20. 2002Constructing a stochastic RSI with Bollinger bands
  21. 2002Constructing a StochRSI and Bollinger mechanical system
  22. 2003Constructing volatility-scaled Bollinger envelopes
  23. 2003Why tick breadth fails as a market personality
  24. 2005Constructing Bollinger bands versus fixed trading bands
  25. 2006Squared versus absolute deviation in envelope construction
  26. 2006Confirming yen crossovers with implied volatility and bands
  27. 2006A daily candle reversal is a hypothesis until shorter sessions fail at the same zone
  28. 2008Rebuild the Relative Strength Index as price-scale bands
  29. 2008Reading Relative Strength Index extremes on one price axis with Bollinger Bands and moving averages
  30. 2011Three-filter confirmation for short-swing futures
  31. 2011Constructing an inverse Fisher stochastic with bands and averages
  32. 2012Constructing a Bollinger Band indicator suite
  33. 2012Stacking price extremes, crossovers, bands, and MACD
  34. 2012Adaptive Bollinger band impulse, trend, and momentum filters
  35. 2013Rescaling stochastic, percent-B, and wave-count parameters
  36. 2014Industry-group quartile pivots as a Bollinger Bands case study
  37. 2014Bollinger Bands as adaptive price envelopes: a 2014 classroom case
  38. 2016Trend-channel entry rules from stacked moving averages
  39. 2016A permission stack for Bollinger, RSI, and the 50-period average
  40. 2017Constructing weighted Bollinger bands and volume averages
  41. 2017Four swing-entry rules that share a timed exit
  42. 2017Two-wave monthly cycles as a regime filter
  43. 2019Constructing exponential-deviation-bands from a midline-average
  44. 2020Critiquing exponential variants of Bollinger Bands
  45. 2020Constructing selectable volatility and moving-average bands
All 84 readings tagged Bollinger Bands
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