API Reference
- Views Views: 952
- Last updated Last updated:
-
The following indicators are all implemented natively within Naxbot R for maximum performance.
This page will be regularly updated with new releases of Naxbot R.
Code:crossover(a: Array<number>, b: Array<number>) -> Array<bool>
Will return truein places whereacrosses overb. "Crossover" means:a[n] > b[n] && a[n-1] < b[n-1].
aandbmust be of the same length.
Code:crossunder(a: Array<number>, b: Array<number>) -> Array<bool> Will return truein places whereacrosses underb. "Crossunder" means:a[n] < b[n] && a[n-1] > b[n-1].
aandbmust be of the same length.
Code:pad(a: Array<number>, n: number, [b]: Array<number>) -> Array<number> Will "pad" the elements of a, by shifting themnplaces to the right. Optionally takes in a parameterbthat will be used to fill in the blank elements at the start of the array (will be filled in with zeroes otherwise).
If bis set, it must contain at leastnelements.
If nis negative, elements will be shifted to the left instead.
Example:
Lua:local a = {1, 2, 3, 4, 5, 6};
local padded = pad(a, 2);
-- contents of "padded": {0, 0, 1, 2, 3, 4}
local custom_padded = pad(a, 2, {8, 9});
-- contents of "custom_padded": {8, 9, 1, 2, 3, 4}
local leftpadded = pad(a, -2);
-- contents of "leftpadded": {3, 4, 5, 6, 0, 0}
local custom_leftpadded = pad(a, -2, {8, 9})
-- contents of "custom_leftpadded": {3, 4, 5, 6, 8, 9}
Code:ema(a: Array<number>, n: number) -> Array<number> Returns the exponential moving average of aover lengthn
Code:wma(a: Array<number>, n: number) -> Array<number> Returns the weighted moving average of aover lengthn
Code:sma(a: Array<number>, n: number) -> Array<number> Returns the simple moving average of aover lengthn
Code:rma(a: Array<number>, n: number) -> Array<number> Returns the rolling moving average of aover lengthn
Code:hullma(a: Array<number>, n: number) -> Array<number> Returns the hull moving average of aover lengthn
Code:bb_upper(a: Array<number>, n: number, m: number) -> Array<number> Returns the upper bollinger band of aover lengthnwith multiplierm
Code:bb_lower(a: Array<number>, n: number, m: number) -> Array<number> Returns the lower bollinger band of aover lengthnwith multiplierm
Code:lowest(a: Array<number>, n: number) -> Array<number> Returns the lowest value of aover lengthn
Code:highest(a: Array<number>, n: number) -> Array<number> Returns the highest value of aover lengthn
Code:stdev(a: Array<number>, n: number) -> Array<number> Returns the standard deviation of aover lengthn
Code:ehlers_super_smoother(a: Array<number>, n: number) -> Array<number> Smooths the values of aover lengthn
Code:rsi(a: Array<number>, n: number) -> Array<number> Returns the relative strength index of aover lengthn
Code:ln(a: Array<number>) -> Array<number> Returns the natural logarithm of a
Code:nz(a: Array<number>) -> Array<number> Replaces NaNvalues inawith the number0
Code:avg(a: Array<Array<number>>) -> Array<number> Returns the average of all given arrays (element-wise)
Example usage:
Lua:local average = avg({a, b, c});
Code:stoch(a: Array<number>, high: Array<number>, low: Array<number>, n: Array<number>) -> Array<number> Stochastic, calculated using the formula of 100 * (a - lowest(low, n)) / (highest(high, n) - lowest(low, n))