{"name":"KEMD","title":"Kipnis Empirical Mode Decomposition","pagetitle":"Kipnis Empirical Mode Decomposition — KEMD","aliases":"KEMD","author":[],"keywords":[],"description":"

Kipnis Empirical Mode Decomposition

","usage":"KEMD(x, delta = 0.1, n = 20, bandFraction = 0.1,\n maType = \"SMA\", ...)","arguments":[{"name":"x","description":"

a time series

"},{"name":"delta","description":"

bandpass parameter (see reference paper),\n default .1

"},{"name":"n","description":"

a lookback period, default 20

"},{"name":"bandFraction","description":"

trending vs. mean-reverting band\n control. Raise to bias towards mean reversion. Lower to\n bias towards trend-following. Defaults to .1

"},{"name":"maType","description":"

type of moving average to use. Defaults to\n SMA.

"}],"has_args":true,"sections":[],"value":"

an xts consisting of a trend, a peak band, a valley band,\n a pctB, and momentum. The market is classified as\n trending upwards when the trend is above the peak band,\n trending downwards when below the valley, and rangebound\n in between. The pctB is a different way of looking at the\n relationship between the trend and the peak and valleys.\n The momentum column indicates trend direction.

","note":"

-- I (Ilya Kipnis) made a special modification compared\n to Ehlers that divides the peak and valley bands by an\n running n-point standard deviation of the bandpass. This\n helps make the bands more adaptive and less likely to\n give whipsaw signals compared to Ehlers's Empirical Mode\n Decomposition. PctB and momentum are added features as\n well.

","references":"

http://www.mesasoftware.com/Seminars/Trend%20Modes%20and%20Cycle%20Modes.pdf

","package":{"package":"DSTrading","version":"1.0"}}

Description

Usage

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References