2016issue C0617-20
A permission stack for Bollinger, RSI, and the 50-period average
The archive specifies four band-RSI pairings as joint entry conditions, then lets a 50-period exponential average grant or refuse each pairing. This article restates that three-layer workflow: bands locate the extreme, the oscillator classifies it, and the average decides eligibility.
- Four band-RSI pairings treat outer-band contact plus an RSI reading relative to 30 or 70 as the joint entry conditions.
- Trend-permission discards any pairing that conflicts with a clearly sloped 50-period exponential average, and a nearly flat average is a no-trade regime.
- When the average slopes down, only short pairings are taken, including upper-band contact with RSI below 70 but not below 50.
- The combination is framed as a search for weakness on the side opposing the trend, not as the conventional same-direction extreme rule alone.
Three jobs in one combination
The archive assigns each tool a distinct job. A 20-period volatility envelope supplies the price-location filter: outer-band contact marks where a pairing may begin. A 14-period bounded oscillator is then read against the 30 and 70 thresholds to classify a confirmed extreme versus an extreme that is already leaving. A 50-period exponential average is the trend-permission switch for every band-and-oscillator pairing.
Documented settings
The documented settings are a 20-period Bollinger Band, a 14-period RSI with 30 and 70 levels, and a 50-period exponential average, applied on four-hour bars.
Four band-RSI pairings
Four explicit pairings of outer-band contact with an RSI reading relative to 30 or 70 are specified as the joint entry conditions. A band-rsi-pairing is that joint condition: outer-band contact plus an RSI reading on a stated side of 30 or 70.
A lower-band touch with RSI still above 30 is treated as a long pairing once the oscillator starts leaving the oversold region. An upper-band touch with RSI still below 70 is treated as a short pairing once the oscillator starts leaving the overbought region.
The other two pairings require RSI below 30 at a lower-band touch or RSI above 70 at an upper-band touch so both tools confirm the same extreme.
Trend permission and slope
Trend-permission is the rule that a pairing is ignored unless it agrees with a clearly sloped 50-period exponential average. Any pairing is discarded when it conflicts with that slope, and the average must itself display a clear trend. A nearly flat 50-period exponential average is treated as a no-trade regime even if band and RSI conditions appear.
When the 50-period exponential average slopes down, only short pairings are taken, including upper-band contact with RSI below 70 but not below 50. When the 50-period exponential average slopes up, a lower-band touch with RSI briefly below 30 is treated as a long pairing.
Weakness against the trend
The combination is framed as a search for weakness on the side opposing the trend, not as the conventional same-direction band-and-RSI extreme rule alone. Editorial note: that opposing-side search is why the fading pairings, such as an upper-band touch with RSI still below 70, sit inside the same stack as the confirmed-extreme pairings rather than replacing them.
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