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.
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.
All readings on this track · 38 readings
- 1988Constructing action-reaction lines from two pivots
- 1988Constructing intradaily point-and-figure boxes and pivot ladders
- 1991Constructing layered support and resistance from swings, pivots, and retracements
- 1994Three locks on a day-session order, then a staged exit
- 1994Building a five-level daily pivot grid
- 1996Constructing daily pivot points from session prices
- 1996Higher time frame balance points as a trend and band filter
- 1998Cup-with-handle construction rules
- 2000Pivot levels as a daily trade hypothesis
- 2001Construct a same-session polarity card around the daily pivot
- 2001Trading inside the cup-with-handle before the breakout
- 2005A lower-low rebound as one entry, abstention, and stop routine
- 2006Constructing session pivot maps from the prior high, low, and close
- 2006Constructing a pivot grid for stops and buy-stops
- 2006Monoparametric automatic trendline construction
- 2008Write the exit before the entry
- 2010Dynamic-pivot range grids for trend bias
- 2010Reverse-entry exits for pairs, pivots and support
- 2011Sequencing pairs, futures pivots, and implied volatility
- 2013Constructing Camarilla levels from prior range
- 2013Camarilla levels as a multi-timeframe map of reversion and breakout
- 2013Constructing a camarilla-grid from a completed lookback range
- 2013Constructing daily pivot support and resistance rungs
- 2014Constructing daily pivot levels from prior-session OHLC
- 2014Next-session pivot support and resistance from daily bars
- 2014Constructing session pivot rails from the prior-day range
- 2014Evaluating moving-average, pivot, and support-resistance filters
- 2016Stage a Trailing stop toward a planned target
- 2016Smoothed RSI and full-cut pivots for option-income exits
- 2017Constructing a weekly seasonality pivot scaffold
- 2017Seasonality and pivot points as scenario maps, not forecasts
- 2018Wave pivots, strength filters, and option premium
- 2018Constructing Fibonacci and daily pivot support maps
- 2018Building a daily pivot lattice with Fibonacci rails
- 2019Prior-session pivot channels for same-day entries
- 2019Constructing intraday pivot channels from prior-session levels
- 2020Variable-strength pivot highs as falsifiable entry filters
- 2020A high-volume-pivot long after a multi-week decline