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1997issue C041-9

Rational group structure with a trend screen, RSI, and bands

Industry groups can be built in two passes, then ranked with blended momentum, money-flow persistence, and a new-high or new-low board. This article treats that stack as a combination filter: a trend screen first, then a relative strength index for persistence, then Bollinger Bands for stretch, so a later out-of-sample check has an explicit baseline.

  • A rational group structure first buckets firms by line of business, then drops members whose price path is a gross outlier versus the rest of the bucket.
  • Group tables can show short momentum, intermediate momentum, and money-flow rank together, with a new-high and new-low board as an early-warning layer.
  • Editorial reading: apply a trend filter first, then score persistence with a relative strength index, then judge stretch with Bollinger Bands.
  • A graded membership rule is more robust when the same function still classifies readings after the environment shifts, rather than depending on one fixed trigger.
Entries in this reading3 entries

Two-pass industry grouping

Industry groups can be assembled in two passes. First, firms are placed by line of business. Then members whose price path is a gross outlier versus the rest of the bucket are dropped. That two-pass method is a rational group structure.

The grouping is treated as ongoing work. New firms are added and sectors are rewritten as mergers, acquisitions, and changes of business line occur.

Telephone companies were placed in a communications sector rather than utilities. Utilities were split into natural-gas, water, nuclear-electric, and traditional-electric buckets because those subsets often trade to different agendas.

Momentum ranks and the new-high board

A composite momentum score can be centered on a four-week horizon by blending several related momentum measures. Group tables can list short momentum, intermediate momentum, and money-flow rank together. The same tables can flag 52-week, 26-week, and 13-week new highs or new lows as an early-warning layer.

On the illustrated board, real estate investment showed short momentum, intermediate momentum, and a money-flow rank across the 52-week, 26-week, and 13-week new-high lists. Consumer services and networking appeared on the 13-week new-low list.

How the three screens sit in order

A trend filter keeps only groups whose ordered price, volume, or breadth series still point in one direction over a defined lookback.

The relative strength index is a bounded oscillator built from successive price changes. In this stack it scores how persistently a group is advancing or fading after the trend screen has already kept the group.

Bollinger Bands are a volatility envelope around a moving average of the group series. They are used last, to judge whether the latest print is stretched versus recent range.

Graded membership

A robustness check for a graded, rather than crisp, decision rule is whether the same underlying function still classifies readings after the environment shifts. The check fails if the rule depends on one fixed trigger. That graded assignment is fuzzy membership.

An explicit baseline

Editorial use of the archive workflow is to write the order of screens as an explicit quantitative baseline. The same baseline can then be compared with a later out-of-sample check. The archive itself is not being asked to certify that later check.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
9 of 45 in the Bollinger Bands track
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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
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