Skip to main content
Track Pivot point
21 / 38
Search the archiveLibrary
Library

2013issue C0310-16

Camarilla levels as a multi-timeframe map of reversion and breakout

A historical Camarilla workflow maps the prior session high, low, and close into fade, warning, stop, and exit levels. The same grid is read across several time windows, and an Elliott wave count is used when a range plan no longer holds.

  • Camarilla points are a specialized pivot-point map: several support and resistance levels taken from the prior session high, low, and close of a chosen time frame.
  • The S3-R3 band is the primary fade and target pair. S4 and R4 first protect those fades and then trigger breakouts, while S5 and R5 are reserved as exclusive-Camarilla exits.
  • The chosen window must keep S3 and R3 inside the market's hitting range. The archive applies the same map on 25-day, 15-day, 19-day, and 3-day windows, including a 4 to 28 September 2012 look-ahead on the DJIA and S&P 500.
  • The archive presents Camarilla levels as better suited to range conditions than to runaway breakouts, which it more often handles with an Elliott wave count.
Entries in this reading3 entries
Current trackPivot point45 readingsElliott wave analysis94 readingsFibonacci retracement97 readings

What the Camarilla map is built from

Camarilla points are a specialized pivot-point construction. They locate multiple support and resistance levels from the prior session high, low, and close of a chosen time frame.

They sit inside the broader pivot-point idea that markets oscillate around a prior-session equilibrium. The Camarilla grid then turns that balance into fade, warning, stop, and exit levels.

Editorial: those range multiples can also be read as a Fibonacci retracement style measurement. They locate the inner reversal band and the outer stop and exit bands without a standalone Fibonacci overlay in the archive examples.

Fade, stop, breakout, and warning levels

The inner S3 and R3 levels are the primary fade and target pair. If the session opens inside the S3-R3 band, the plan waits for a test of either band. If the session opens outside that band, the plan waits for a retreat through S3 or R3 toward the opposite side.

S4 and R4 function first as protective stops for S3 and R3 reversal trades. If price continues through them, they become breakout entry levels. S5 and R5 then serve as exclusive-Camarilla exits on those breakouts.

R2 and S2 are warning levels. A long is not opened at R2, and a short is not opened at S2.

DJIA Camarilla grid for the 25-day window of 24 April–29 May 2012

Fade shorts sit at R3 and fade longs at S3; R4 and S4 are the stops that become breakout entries, and R5 and S5 are the breakout exits. These six Dow Jones Industrial Average prices are the article’s computed Camarilla levels for that 25-session window, taken from the stated prior-session high, low, and close rather than from the unlabeled platform screenshot.
Fade shorts sit at R3 and fade longs at S3; R4 and S4 are the stops that become breakout entries, and R5 and S5 are the breakout exits. These six Dow Jones Industrial Average prices are the article’s computed Camarilla levels for that 25-session window, taken from the stated prior-session high, low, and close rather than from the unlabeled platform screenshot.Dow Jones Industrial Average · 25 trading days · 2012-04-24T00:00:00.000Z to 2012-05-29T00:00:00.000Z

Inputs are the prior 25-session high 13297.11, low 12710.56, and close 12927.17 from 19 March–23 April 2012. The window was chosen with Wilder’s Delta Phenomenon so that S3 and R3 would fall inside the next month’s hitting range.

Keeping S3 and R3 inside the hitting range

Choosing a time frame so that S3 and R3 still fall inside the market's hitting range is presented as necessary. An arbitrary horizon can omit one of those levels and change the trade outcome.

Worked examples apply the same Camarilla map on 25-day, 15-day, 19-day, and 3-day windows. One look-ahead window covers 4 to 28 September 2012 on the DJIA and S&P 500.

Leaving the range plan with an Elliott wave count

The archive presents Camarilla levels as better suited to range conditions than to runaway breakouts. Breakouts are more often handled with an Elliott wave count.

Editorial: once price clears S4 or R4, the range-fade hypothesis is no longer the working plan. An Elliott wave count of impulsive and corrective swings is the archive's way to decide whether that breakout is still valid or should be exited. That is the moment a Camarilla range trade is abandoned, not a reason to keep fading the inner band.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
21 of 38 in the Pivot point track
201354-56 pp.Next on Pivot pointConstructing a camarilla-grid from a completed lookback rangeCamarilla pivot levels are built from a completed lookback high, low, and close, not from the live bar.
All readings on this track · 38 readings
  1. 1988Constructing action-reaction lines from two pivots
  2. 1988Constructing intradaily point-and-figure boxes and pivot ladders
  3. 1991Constructing layered support and resistance from swings, pivots, and retracements
  4. 1994Three locks on a day-session order, then a staged exit
  5. 1994Building a five-level daily pivot grid
  6. 1996Constructing daily pivot points from session prices
  7. 1996Higher time frame balance points as a trend and band filter
  8. 1998Cup-with-handle construction rules
  9. 2000Pivot levels as a daily trade hypothesis
  10. 2001Construct a same-session polarity card around the daily pivot
  11. 2001Trading inside the cup-with-handle before the breakout
  12. 2005A lower-low rebound as one entry, abstention, and stop routine
  13. 2006Constructing session pivot maps from the prior high, low, and close
  14. 2006Constructing a pivot grid for stops and buy-stops
  15. 2006Monoparametric automatic trendline construction
  16. 2008Write the exit before the entry
  17. 2010Dynamic-pivot range grids for trend bias
  18. 2010Reverse-entry exits for pairs, pivots and support
  19. 2011Sequencing pairs, futures pivots, and implied volatility
  20. 2013Constructing Camarilla levels from prior range
  21. 2013Camarilla levels as a multi-timeframe map of reversion and breakout
  22. 2013Constructing a camarilla-grid from a completed lookback range
  23. 2013Constructing daily pivot support and resistance rungs
  24. 2014Constructing daily pivot levels from prior-session OHLC
  25. 2014Next-session pivot support and resistance from daily bars
  26. 2014Constructing session pivot rails from the prior-day range
  27. 2014Evaluating moving-average, pivot, and support-resistance filters
  28. 2016Stage a Trailing stop toward a planned target
  29. 2016Smoothed RSI and full-cut pivots for option-income exits
  30. 2017Constructing a weekly seasonality pivot scaffold
  31. 2017Seasonality and pivot points as scenario maps, not forecasts
  32. 2018Wave pivots, strength filters, and option premium
  33. 2018Constructing Fibonacci and daily pivot support maps
  34. 2018Building a daily pivot lattice with Fibonacci rails
  35. 2019Prior-session pivot channels for same-day entries
  36. 2019Constructing intraday pivot channels from prior-session levels
  37. 2020Variable-strength pivot highs as falsifiable entry filters
  38. 2020A high-volume-pivot long after a multi-week decline
By fieldWaves and ratios90 readingsBy year201398 readings
All 45 readings tagged Pivot point
Also on Pivot point5 readings
2018Wave pivots, strength filters, and option premium1991Constructing layered support and resistance from swings, pivots, and retracements1999Compound pivots and market symmetry2008Write the exit before the entry2010Dynamic-pivot range grids for trend bias