Library "Divergence" Calculates a divergence between 2 series
bullish(_src, _low, depth) Calculates bullish divergence Parameters: _src: Main series _low: Comparison series (`low` is used if no argument is supplied) depth: Fractal Depth (`2` is used if no argument is supplied) Returns: 2 boolean values for regular and hidden divergence
bearish(_src, _high, depth) Calculates bearish divergence Parameters: _src: Main series _high: Comparison series (`high` is used if no argument is supplied) depth: Fractal Depth (`2` is used if no argument is supplied) Returns: 2 boolean values for regular and hidden divergence
I created this library to plug and play divergences in any code. You can create a divergence indicator from any series you like. Fractals are used to pinpoint the edge of the series. The higher the depth, the slower the divergence updates get.
My Plain Stochastic Divergence uses the same calculation. Watch it in action.