adx#

API documentation for pandas_ta.trend.adx Python function.

adx(high, low, close, length=None, lensig=None, scalar=None, mamode=None, drift=None, offset=None, **kwargs)[source]#

Average Directional Movement (ADX)

Average Directional Movement is meant to quantify trend strength by measuring the amount of movement in a single direction.

Sources:

https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/average-directional-movement-adx/ TA Lib Correlation: >99%

Calculation:

DMI ADX TREND 2.0 by @TraderR0BERT, NETWORTHIE.COM

//Created by @TraderR0BERT, NETWORTHIE.COM, last updated 01/26/2016 //DMI Indicator //Resolution input option for higher/lower time frames study(title=”DMI ADX TREND 2.0”, shorttitle=”ADX TREND 2.0”)

adxlen = input(14, title=”ADX Smoothing”) dilen = input(14, title=”DI Length”) thold = input(20, title=”Threshold”)

threshold = thold

//Script for Indicator dirmov(len) =>

up = change(high) down = -change(low) truerange = rma(tr, len) plus = fixnan(100 * rma(up > down and up > 0 ? up : 0, len) / truerange) minus = fixnan(100 * rma(down > up and down > 0 ? down : 0, len) / truerange) [plus, minus]

adx(dilen, adxlen) =>: [plus, minus] = dirmov(dilen) sum = plus + minus adx = 100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen) [adx, plus, minus]

[sig, up, down] = adx(dilen, adxlen) osob=input(40,title=”Exhaustion Level for ADX, default = 40”) col = sig >= sig[1] ? green : sig <= sig[1] ? red : gray

//Plot Definitions Current Timeframe p1 = plot(sig, color=col, linewidth = 3, title=”ADX”) p2 = plot(sig, color=col, style=circles, linewidth=3, title=”ADX”) p3 = plot(up, color=blue, linewidth = 3, title=”+DI”) p4 = plot(up, color=blue, style=circles, linewidth=3, title=”+DI”) p5 = plot(down, color=fuchsia, linewidth = 3, title=”-DI”) p6 = plot(down, color=fuchsia, style=circles, linewidth=3, title=”-DI”) h1 = plot(threshold, color=black, linewidth =3, title=”Threshold”)

trender = (sig >= up or sig >= down) ? 1 : 0 bgcolor(trender>0?black:gray, transp=85)

//Alert Function for ADX crossing Threshold Up_Cross = crossover(up, threshold) alertcondition(Up_Cross, title=”DMI+ cross”, message=”DMI+ Crossing Threshold”) Down_Cross = crossover(down, threshold) alertcondition(Down_Cross, title=”DMI- cross”, message=”DMI- Crossing Threshold”)

Args:

high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s close (pd.Series): Series of ‘close’s length (int): It’s period. Default: 14 lensig (int): Signal Length. Like TradingView’s default ADX. Default: length scalar (float): How much to magnify. Default: 100 mamode (str): See `help(ta.ma)`. Default: ‘rma’ drift (int): The difference period. Default: 1 offset (int): How many periods to offset the result. Default: 0

Kwargs:

fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method

Returns:

pd.DataFrame: adx, dmp, dmn columns.