1992issue C021-12
Constructing volatility-scaled bands with relative strength index confirmation
Price envelopes locate relative highs and lows. This article specifies a moving-average centerline that describes the intended trend, rails scaled from the same lookback with a dispersion statistic, and a relative strength index test before a rail touch is treated as more than a location reading.
- Price envelopes locate whether a reading is relatively high or low. Contact with a rail is not specified as an absolute buy or sell signal.
- Set the moving-average centerline so it describes the intended trend, then build both rails from that same lookback with a dispersion statistic rather than a fixed percent.
- Use the relative strength index as a close-based companion only when it is not paired with other colinear close-derived measures, and treat a confirmed rail tag as continuation rather than an automatic reversal setup.
- Percent-b places price at 100 on the upper band and 0 on the lower band, and it can print outside that range, so successive extremes can be compared with the relative strength index without requiring the second extreme to be higher or lower than the first.
What a price envelope locates
Price envelopes locate whether a reading is relatively high or low. Contact with a rail is not specified as an absolute buy or sell signal.
The moving average is the envelope centerline. Volatility-scaled bands sit a stated number of moving standard deviations away from a simple moving average computed on the same lookback, so width expands and contracts with realized dispersion.
Choose a centerline that describes the trend
The length of the moving average is chosen to describe the intended trend rather than to optimize crossover signals.
That length is judged by the first pullback after a low. A break of the average implies the length is too short. A miss implies it is too long. A well-chosen average is reached more often than it is broken.
Scale the rails from the same lookback
A fixed-percent envelope is built by multiplying a simple moving average by one plus a chosen percent for the upper rail and by one minus that percent for the lower rail. One illustrated specification used a 21-day average and a 4 percent shift.
A containment construction keeps a stated fraction of recent prices inside the envelope. A proposal around a 21-day average kept 85 percent of prices inside over about a year and allowed the upper and lower displacements to differ as an advance or decline persists.
Volatility-scaled bands use the same-lookback simple moving average plus and minus two standard deviations of that same series. The rails widen and contract with realized dispersion around the intermediate-term mean. Band-width expresses that envelope width as a fraction of the moving-average centerline and is used to observe those contractions and expansions.
Default lookbacks and deviation multipliers
A 20-period lookback is given as the default intermediate specification, with 10 periods for short-term work and 50 for long-term work. The deviation multiplier is raised toward 2.5 at 50 periods and lowered toward 1.5 at 10 periods.
A typical-price spreadsheet construction
Typical price is a bar summary equal to the high, low, and close averaged together. It is an optional input for the mean and the deviation.
One spreadsheet construction uses typical price, a 20-day simple moving average of that series, the population standard deviation over the same 20 days, and rails at the average plus and minus twice that deviation.
Require a non-colinear companion
Several close-only oscillators that share a similar span recount the same information. That recounting is multicolinearity: several indicators built from one series and similar spans. The relative strength index is a close-based momentum oscillator listed as a usable companion to the bands when it is not paired with other colinear close-derived measures.
A relative strength index reading that confirms a tag of the upper band is treated as continuation rather than a sell setup. A tag without that confirmation is treated as a sell setup. The same confirmation-versus-divergence test is applied at the lower band.
Compare extremes with percent-b
Percent-b is a location statistic that maps price onto the interval between the lower and upper rails. The measure places price at 100 on the upper band and 0 on the lower band and can print outside that range when price is outside the envelope. Successive extremes can then be compared with the relative strength index without requiring the second extreme to be higher or lower than the first.
All readings on this track · 45 readings
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- 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
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- 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