This is an experimental study designed using data from Bollinger Bands to determine price squeeze ranges and active levels of support and resistance.
First, a set of Bollinger Bands using a Coefficient of Variation weighted moving average as the basis is calculated.
Then, the relative percentage of current bandwidth to maximum bandwidth over the specified sampling...
This is an experimental study designed to identify the underlying trend bias and volatility of an instrument over any custom interval TradingView supports.
First, reset points are established at points where the opening price of the interval changes.
Next, Volume Weighted Average Price (VWAP) is calculated. It is the cumulative sum of typical price times volume...
This is an experimental variation of Paul L. Dysart's Positive Volume Index and Negative Volume Index that tracks the divergences between the PVI and its EMA, and the NVI and its EMA, then plots both together for comparison.
This tool can be used to identify trending price activity.
This is an experimental study designed to identify underlying price activity using a series of Laguerre Filters.
Two different modes are included within this script:
-Ribbon Mode - A ribbon of 18 Laguerre Filters with separate Gamma values is calculated.
-Band Mode - An average of the 18 filters generates the basis line. Then, Golden Mean ATR over the specified...
This is an experimental study designed to analyze trend intensity using two Donchian Channels.
The DCTI curve is calculated by comparing the differences between Donchian highs and lows over a major an minor period, and expressing them as a positive and negative percentage.
The curve is then smoothed with an exponential moving average to provide a signal...
This study is an experiment designed to identify market phases using changes in an approximate Hurst Exponent.
The exponent in this script is approximated using a simplified Rescaled Range method.
First, deviations are calculated for the specified period, then the specified period divided by 2, 4, 8, and 16.
Next, sums are taken of the deviations of each period,...
Bull and Bear power based on linear regression (this is a non lagging oscillator, the parameter are for the lookup window for the donchian extremes)
this indicator can also be used for convergence/divergence.
As originally described by Adam H. Grimes.
For analyzing the location of Open within the day's range (OPR). The OPR histogram displays the binned distribution of OPR values for the chart history. Fat tails at the extremes indicates that Open occurred more often close to the day's high or low.
The OPR results are filtered according to volatility using Grime's...