'use strict'; var assert = require('assert-plus'); /** * Compute the exponential weighted moving average of a series of values. * The time at which you insert the value into `Ewma` is used to compute a * weight (recent points are weighted higher). * The parameter for defining the convergence speed (like most decay process) is * the half-life. * * e.g. with a half-life of 10 unit, if you insert 100 at t=0 and 200 at t=10 * the ewma will be equal to (200 - 100)/2 = 150 (half of the distance * between the new and the old value) * * @param {Number} halfLifeMs parameter representing the speed of convergence * @param {Number} initialValue initial value * @param {Object} clock clock object used to read time * * @returns {Ewma} the object computing the ewma average */ function Ewma(halfLifeMs, initialValue, clock) { assert.number(halfLifeMs, 'halfLifeMs'); assert.ok(!Number.isNaN(halfLifeMs), 'halfLifeMs can not be NaN'); assert.optionalNumber(initialValue, 'initialValue'); assert.ok(!Number.isNaN(initialValue), 'initialValue can not be NaN'); if (clock !== undefined) { assert.func(clock.now, 'clock.now'); } this._decay = halfLifeMs; this._ewma = initialValue || 0; this._clock = clock || Date; this._stamp = (typeof initialValue === 'number') ? this._clock.now() : 0; } module.exports = Ewma; Ewma.prototype.insert = function insert(x) { assert.number(x, 'x'); assert.ok(!Number.isNaN(x), 'x can not be NaN'); var self = this; var now = self._clock.now(); var elapsed = now - self._stamp; self._stamp = now; // This seemingly magic equation is derived from the fact that we are // defining a half life for each value. A half life is the amount of time // that it takes for a value V to decay to .5V or V/2. Elapsed is the time // delta between this value being reported and the previous value being // reported. Given the half life, and the amount of time since the last // reported value, this equation determines how much the new value should // be represented in the ewma. // For a detailed proof read: // A Framework for the Analysis of Unevenly Spaced Time Series Data // Eckner, 2014 var w = Math.pow(2, -elapsed / self._decay); self._ewma = w * self._ewma + (1.0 - w) * x; }; Ewma.prototype.reset = function reset(x) { assert.number(x, 'x'); assert.ok(!Number.isNaN(x), 'x can not be NaN'); var self = this; self._stamp = self._clock.now(); self._ewma = x; }; Ewma.prototype.value = function value() { var self = this; return self._ewma; };