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2007issue C061-5

Range bars change when a Bollinger squeeze counts as a breakout

Range bars keep a constant high-to-low span and print a new bar only when a tick finishes outside that span, so the chart no longer follows clock time. The archive pairs that sampling with Bollinger Bands and a Keltner price channel, reading a squeeze when the bands sit inside the channel and treating later expansion outside the channel as breakout confirmation.

  • Range bars keep a fixed high-to-low span and start a new bar only when a tick finishes outside that span, so the horizontal axis no longer tracks clock time.
  • If several timed bars stay inside the chosen range, they collapse into one range bar, so consolidations print few bars and a series of timed bars can become one net move.
  • A squeeze is read when Bollinger Bands sit inside a Keltner price channel; later expansion of the bands outside that channel is treated as breakout or breakdown confirmation.
  • A two-bar reversal is a close near or through a Bollinger Band followed by a new range bar that leaves the prior span in the opposite direction.
Entries in this reading3 entries
Current trackPrice channel77 readingsBollinger Bands84 readingsBreakout confirmation172 readings

Range bars stop following clock time

The archive describes a constant-range chart as a way to sample price without following the clock. A range bar keeps a fixed high-to-low span and starts a new bar only when a tick finishes outside that span, so the horizontal axis no longer tracks clock time.

On one illustrated five-minute e-mini Russell 2000 session, a timed chart produced 81 regular-hours bars while a one-point range chart produced about 20 to 35 bars. If several successive timed bars stay inside the chosen range, they collapse into a single range bar. Consolidations therefore print few bars, and a series of timed bars can become one net move.

How a range bar is built

A new range bar opens at the prior bar's close. When a gap spans more than one preset range, phantom bars are inserted to fill the skipped spans.

The archive does not offer a universal formula for bar size. One heuristic is a multiple of the recent average bar range, illustrated as about 0.5 to 0.7 on one-minute e-mini Russell 2000 bars and about 0.8 to 1.0 on five-minute bars over a three-day window.

Bollinger Bands on range bars

Bollinger Bands, illustrated with a 21-period lookback and two standard deviations, contract in quiet markets and expand in volatile ones. In this workflow, a single range-bar close outside the bands is treated as an extreme that may mark the end of a move.

A two-bar reversal is defined as a close near or through a Bollinger Band followed by a new range bar that leaves the prior span in the opposite direction.

The squeeze and the channel breakout

Keltner channels are built as a moving-average envelope offset by average true range. They mark an uptrend when price holds above the upper band and a downtrend when price holds below the lower band. Here they serve as the containing price channel.

When Bollinger Bands sit inside those Keltner channels, the setup is read as a low-volatility squeeze. Later expansion of the bands outside the channel is treated as a breakout or breakdown confirmation.

One illustrated squeeze later expanded outside the Keltner channel near 791. Another squeeze at a marked point was presented as a breakdown condition rather than a continuation inside the coil.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
41 of 55 in the Price channel track
20091-65 pp.Next on Price channelOne testable SPY procedure for a price channel, a trend rule, and a seasonal overlayTreat the 126-127 retest as the first price-channel condition the SPY book must prove or fail, not as a separate market call.
All readings on this track · 55 readings
  1. 1988Constructing price channels from trendlines
  2. 1988Three-point curved trend channel construction
  3. 1988Least-squares construction of channel trendlines
  4. 1988Three-zone price channel from quadratic smoothing
  5. 1989A variable-sensitivity stochastic built on three-sigma bounds
  6. 1989Close-minus-average oscillator for channel extremes
  7. 1989The six-stage hunt as a critique of one-click heroics
  8. 1990Fair-value gaps and a copper moving-average channel
  9. 1990Diversify markets, not systems, to cut trend-system variance
  10. 1991Constructing trendlines, price channels, and close-based breakouts
  11. 1991Constructing seasonal-cycle overlays with channel confirmation
  12. 1993Lag-compensated exponential trend channel construction
  13. 1993Constructing a lead-lag filter and price channel as one stack
  14. 1993Three stochastic warnings still need price-channel confirmation
  15. 1993Lead-lag smoothing for weekly trend-channel construction
  16. 1993Constructing zero-net-lag price channels
  17. 1995From a downtrend-line break to a regression channel
  18. 1995Validated trendline and price channel construction
  19. 1995Constructing price envelopes from averages, volatility, and regression
  20. 1996Constructing trendlines and channels from explicit swings
  21. 1998Fifty percent retracement as a channel regime test
  22. 1998Close-based channel rails as daily scenario maps
  23. 1999Constructing support, resistance, trendlines, and price channels
  24. 2001Cycle composites, price channels, and two-sided signals
  25. 2001Testing horizontal price channels with stops and scale
  26. 2002A two-stage momentum-shift and price-channel process
  27. 2002Wave-by-wave channel construction for Elliott counts
  28. 2002Affine channels as reusable trade hypotheses
  29. 2004Stress-test seasonal windows across regimes, then add channels
  30. 2004Regime permission from trendlines, channels, and range edges
  31. 2004Weekly-average and price-channel states on sector depositary baskets
  32. 2005Oil services catch-up after channel resistance breaks
  33. 2005Constructing a volatility-normalized cycle index
  34. 2005How a Darvas channel becomes a complete entry and exit procedure
  35. 2005Clustered Fibonacci and channel levels in news-driven forex
  36. 2005Treat a consolidating currency market as a time-frame problem
  37. 2005Channel walls that flip roles or recapture price
  38. 2006Stacking candlesticks, crossovers, and price channels
  39. 2006Failed uptrend channel breakout left the euro rangebound
  40. 2006Constructing a Wilson relative price channel from a range-bound strength index
  41. 2007Range bars change when a Bollinger squeeze counts as a breakout
  42. 2009One testable SPY procedure for a price channel, a trend rule, and a seasonal overlay
  43. 2010A gold-miner channel plan from value to false breakouts
  44. 2010A multi-timeframe channel from value to an overvalued zone
  45. 2010Asymmetric price channel construction for congested markets
  46. 2011Phasing many cycles at once with nested envelopes
  47. 2012Constructing adaptive horizontal price channels
  48. 2014Confirming support with trendlines, channels, and retracements
  49. 2015News-sentiment confirmation for support, channel, and volume tests
  50. 2015A three-layer permission stack: moving averages, a price channel, and weekly levels
  51. 2016Entropy-diff as a regime switch between trend following and a price channel
  52. 2017Competing rulers on a pound chart after Brexit
  53. 2017Test consolidation channel breakouts as one procedure
  54. 2020Constructing late-trend longs with a price channel, gap breakout, and trailing stop
  55. 2025Using IBM's multi-year price channel as a breakout teaching case
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Also on Price channel5 readings
1995Constructing price envelopes from averages, volatility, and regression1988Constructing price channels from trendlines1991Constructing trendlines, price channels, and close-based breakouts1998Testing price-channel breakouts with a lag-aware adaptive average2005Oil services catch-up after channel resistance breaks