copy pasted description.. Minkowski distance is a metric in a normed vector space. Minkowski distance is used for distance similarity of vector. Given two or more vectors, find distance similarity of these vectors.
shows the distance to its relevant demand vector. demand vector is based on the demand for long/short, extracted from price range..
UDF library of functions to use with 2 dimensional vectors.
This is a scaled Normalized Vector Strategy with a Karobein Oscillator Original: Drkhodakarami (www.tradingview.com) Repainting: in general there two types of repainting: * when the last candle is constantly being redrawn * when the indicator draws a different configuration after it has been deactivated/reactivated, i.e. refreshed. The former is a natural...
This modification of the Scaled Normalized Vector Strategy uses trailing stops and is optimized for lower TFs.
This indicator will copy a moving average's plot and show whether its angle vector is negative or positive. In other words, it will show when the moving average starts to "accelerate" / "decelerate". To use: Add any moving average indicator to the chart Click that indicator's More > Add Indicator on (MA) Select the Cosmic Angle Gravity indicator
This is a modification of my Scaled Normalized Vector Strategy. This mod features some activation functions. Performance remains high. The repainting problem should be tested out.
Library "Vector2Operations" functions to handle vector2 operations. math_fractional(_value) computes the fractional part of the argument value. Parameters: _value : float, value to compute. Returns: float, fractional part. atan2(_a) Approximation to atan2 calculation, arc tangent of y/ x in the range radians. Parameters: _a : vector2 in the...
Library "FunctionArrayMaxSubKadanesAlgorithm" Implements Kadane's maximum sum sub array algorithm. size(samples) Kadanes algorithm. Parameters: samples : float array, sample data values. Returns: float. indices(samples) Kadane's algorithm with indices. Parameters: samples : float array, sample data values. Returns: tuple with format .
Library "FunctionGenerateRandomPointsInShape" Generate random vector points in geometric shape (parallelogram, triangle) random_parallelogram(vector_a, vector_b) Generate random vector point in a parallelogram shape. Parameters: vector_a : float array, vector of (x, y) shape. vector_b : float array, vector of (x, y) shape. Returns: float array,...
Исправил досадную ошибочку Скрипт позволяет увидеть на сколько продвинулась цена за период времени и процентное соотношение между падением и ростом. Не забудте указать число знаков после запятой
small update: added ability to setup stage 2 length period.