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2010issue C0734-38

Dynamic-pivot range grids for trend bias

Treat a session or swing high-low span as a fixed range-percentile map. A repeatable location on that map can support a directional hypothesis instead of a guess about continuation or fade.

  • A dynamic-pivot maps a chosen period from low to high as 0% to 100% and marks 25%, 50%, and 75%, with optional 38% and 62% Fibonacci-style levels.
  • The grid is an absolute-measure: the same high-low span yields the same lines regardless of the bar interval used to view that period.
  • A directional-bias-filter seeks longs only above 75% and shorts only below 25%, so entries stay aligned with visible range strength or weakness.
  • Between 25% and 75%, midrange-stair-step reactions can serve as secondary entries rather than primary trend filters.
Entries in this reading3 entries

A location map instead of a guess

A dynamic-pivot is a fixed grid of percentage levels drawn from a chosen period's low to high. It is used as a location map rather than a moving average or slope line.

Trend direction is timeframe-relative. An uptrend on one hold horizon can be a downtrend on a shorter or longer chart. The grid does not resolve that conflict. It locates price inside one chosen period.

Building the grid from a chosen high and low

A floor-trader-pivot is computed from the prior day's high, low, and close and remains static for the following session. A dynamic-pivot is rebuilt from the high and low of any chosen period. That period's low-to-high range is mapped as 0% to 100%, with retracement marks at 25%, 50%, and 75%.

Optional mid-grid marks at 38% and 62% can be added as Fibonacci-style levels. Fibonacci sets and fractional sets are treated as interchangeable for long-run mapping.

Each new trading day typically produces a different grid because the measurement is rebuilt from that period's high and low. No time-period setting is presented as optimal.

An absolute-measure, not a moving line

Unlike moving averages, oscillators, and trendlines, a dynamic-pivot is an absolute-measure. The same high-low span yields the same lines regardless of the bar interval used to view that period. The grid stays fixed for the span being measured.

A directional-bias-filter at the outer bands

A directional-bias-filter rule of thumb is to seek longs only above the 75% level and shorts only below the 25% level. Entries then stay aligned with visible range strength or weakness.

When price is between the 25% and 75% bands, the construction is described as producing midrange-stair-step reactions. Those pauses can act as secondary entry locations rather than primary trend filters.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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201049-49 pp.Next on Pivot pointReverse-entry exits for pairs, pivots and supportAn exit can be specified with the same criteria as an entry, only reversed: it is the price at which a good opposite-direction entry would appear.
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
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