1996issue C031-6
Constructing mechanical rules from Bollinger Bands and stochastics
A mechanical trading system applies indicators through explicit rules so the procedure can be tested. Construction starts by locating the close on Bollinger Bands, keeps a band-breakout position until the close itself fails, and only then attaches a stochastic abort when the opposite band is never reached.
- Frame the work as one mechanical trading system: indicators enter only through explicit rules so entry, hold, reverse, exit, and standing aside can be tested instead of used informally.
- Treat a close beyond either Bollinger Band as a momentum condition that a large move is already under way, not as a mark of when that move will end.
- Write the close-reversal hold first, then attach a stochastic protective exit for trades that never reach the opposite band-based entry.
- Finish both exits before moving a band width or a percent-b threshold, and keep later changes aligned with the trusted concept rather than curve-fitting.
Write a testable procedure
A mechanical trading system is framed as one or more indicators applied through explicit rules so the procedure can be tested instead of being used informally.
The intended role of the system is to support trading decisions, constrain emotion, and separate technical ideas the designer trusts from ideas that remain untested.
Normalize the close on the bands
Bollinger Bands are volatility envelopes set a stated number of standard deviations above and below a moving average of price. They are used here as the reference extremes for the close.
A close beyond either Bollinger Band was treated as a momentum condition showing a large move already under way, not as a mark of when that move would end.
Percent-b maps the close onto the current Bollinger Bands so a close at the lower band equals 0, a close at the upper band equals 100, and a close outside the bands is below 0 or above 100. It is described as a one-day stochastic that substitutes the bands for the period high and low.
Hold until the close fails
After a close moved outside a Bollinger Band, the first hold rule kept the position until the close reversed versus the prior close. That close-reversal hold stays in the trade until the latest close fails relative to the prior close.
A candlestick reversal was noted as an alternative that does not always appear.
Attach the protective exit after both band rules exist
The preferred exit remained an opposing band-based reverse. The stochastic rule was reserved as the backup if the anticipated continuation failed.
A 14-period stochastic supplied a protective long exit when percent-D was below its slow counterpart and percent-D was below 80. That protective exit was used when price never reached the opposite band-based entry.
Move thresholds only after both exits are written
To raise the number of signals without abandoning the breakout-and-hold idea, the bands were narrowed from 2.0 to 1.9 standard deviations and the percent-b trigger levels were moved from 100 and 0 to 95 and 5.
Editorial note: that adjustment is not part of the first writing pass. Students should finish both exits before they are allowed to move a band width or a percent-b threshold.
Test the procedure without fitting a preferred series
The stated test protocol used next-day open execution, both long and short trades, a 5 percent equity stop, a 25-dollar commission on each entry and exit, and 5.5 percent interest on idle equity.
A single large-cap series was chosen alphabetically to reduce fitting the rules to a preferred security. Construction guidance was to keep rules aligned with a trusted concept rather than fine-tune them into curve-fitting.
All readings on this track · 45 readings
- 1992Constructing volatility-scaled bands with relative strength index confirmation
- 1994Implied volatility as a band-defined regime filter for index options
- 1995Constructing projection bands from least-squares slopes
- 1995Constructing regression projection bands and range oscillators
- 1996Constructing Bollinger bands, percent-b, and stochastics
- 1996Constructing mechanical rules from Bollinger Bands and stochastics
- 1996Constructing a standard-error envelope around a linear regression
- 1996Dual-horizon ratio envelopes and regression error channels
- 1997Rational group structure with a trend screen, RSI, and bands
- 1997Asymmetric volatility band construction
- 1998Constructing three-state filters from Bollinger band envelopes
- 1999Combination filters with Bollinger Bands and the relative strength index
- 1999Constructing stochastic timed exits and band-RSI reversals
- 1999Evaluating Bollinger Bands against fixed-width and range-based envelopes
- 2000Constructing a Bollinger Band target as a forward price
- 2001Numeric candlestick encoding with local size bands
- 2001Ranked candlestick sentiment to band-cross entries
- 2002Combining Bollinger Bands, RSI, and a stop-loss
- 2002Bollinger Bands remain filters, not forecasts
- 2002Constructing a stochastic RSI with Bollinger bands
- 2002Constructing a StochRSI and Bollinger mechanical system
- 2003Constructing volatility-scaled Bollinger envelopes
- 2003Why tick breadth fails as a market personality
- 2005Constructing Bollinger bands versus fixed trading bands
- 2006Squared versus absolute deviation in envelope construction
- 2006Confirming yen crossovers with implied volatility and bands
- 2006A daily candle reversal is a hypothesis until shorter sessions fail at the same zone
- 2008Rebuild the Relative Strength Index as price-scale bands
- 2008Reading Relative Strength Index extremes on one price axis with Bollinger Bands and moving averages
- 2011Three-filter confirmation for short-swing futures
- 2011Constructing an inverse Fisher stochastic with bands and averages
- 2012Constructing a Bollinger Band indicator suite
- 2012Stacking price extremes, crossovers, bands, and MACD
- 2012Adaptive Bollinger band impulse, trend, and momentum filters
- 2013Rescaling stochastic, percent-B, and wave-count parameters
- 2014Industry-group quartile pivots as a Bollinger Bands case study
- 2014Bollinger Bands as adaptive price envelopes: a 2014 classroom case
- 2016Trend-channel entry rules from stacked moving averages
- 2016A permission stack for Bollinger, RSI, and the 50-period average
- 2017Constructing weighted Bollinger bands and volume averages
- 2017Four swing-entry rules that share a timed exit
- 2017Two-wave monthly cycles as a regime filter
- 2019Constructing exponential-deviation-bands from a midline-average
- 2020Critiquing exponential variants of Bollinger Bands
- 2020Constructing selectable volatility and moving-average bands