Moving Average Convergence/Divergence (MACD)
Summary
Moving Average Convergence/Divergence: the difference between a fast and a slow EMA of the input, plus an EMA-smoothed signal line and their histogram. MACD crossing its signal line and histogram sign changes flag momentum shifts.
Chart
Chart metadata i
Outputs
outMACD:line·zero·positive·negativeoutMACDSignal:dash_line·zero·positive·negativeoutMACDHist:histogram·zero·positive·negative
Formula
MACD = EMA_fast - EMA_slow; Signal = EMA(MACD, signalPeriod); Hist = MACD - Signal
Notes
- If the slow period is set smaller than the fast period, the two are swapped so the slow EMA is always the longer one.
- A signal period of 1 disables signal-line smoothing: the signal equals the MACD line and the histogram is zero. Before 0.6.5 this parameter value produced misaligned output (issues #48/#59).
Inputs
inReal— Input series (typically close)
Outputs
outMACD— Fast EMA minus slow EMAoutMACDSignal— EMA of the MACD lineoutMACDHist— MACD minus signal line
Parameters
| Parameter | Type | Default | Accepted values | Description |
|---|---|---|---|---|
optInFastPeriod | integer | 12 | 2–100000 | Period of the fast EMA |
optInSlowPeriod | integer | 26 | 2–100000 | Period of the slow EMA |
optInSignalPeriod | integer | 9 | 1–100000 | Smoothing period of the signal line |
Properties
Numerical Stability: Initial Unstable Period — Inherited from EMA, which MACD computes internally; tunable via EMA's unstable period.
| ☐ Overlap Input |
| ✅ Independent Y-Axis i |
| ☐ Candlestick |
| ☐ Display Shift |
| ☐ Can Output NaN or ±Inf |
| ☐ Identity at Period 1 |
| ☐ Uses Transcendental |
| ☐ Input Must Be Positive |
Example
C
#include <stdio.h>
#include <ta_libc.h>
int n = 252;
double series[252]; /* your data, oldest first */
double macd[252], macdSignal[252], macdHist[252];
int outBegIdx, outNBElement;
TA_Initialize();
TA_MACD( 0, n - 1, series, 12, 26, 9, &outBegIdx, &outNBElement, macd, macdSignal, macdHist );
printf( "%d values from bar %d; last macd = %f\n", outNBElement, outBegIdx, macd[outNBElement - 1] );Rust
use ta_lib::Core;
let series = vec![0.0; 252]; // your data, oldest first
let mut macd = vec![0.0; 252];
let mut macd_signal = vec![0.0; 252];
let mut macd_hist = vec![0.0; 252];
let core = Core::new();
let range = core.macd(0, series.len() - 1, &series, 12, 26, 9,
&mut macd, &mut macd_signal, &mut macd_hist)?;
println!("{} values from bar {}; last macd = {}", range.count, range.beg_idx, macd[range.count - 1]);Java
import io.github.talib.Core;
import io.github.talib.OutRange;
double[] series = new double[252]; // your data, oldest first
double[] macd = new double[252];
double[] macdSignal = new double[252];
double[] macdHist = new double[252];
Core core = Core.DEFAULT;
OutRange r = core.macd(0, series.length - 1, series, 12, 26, 9, macd, macdSignal, macdHist);
System.out.println(r.count() + " values from bar " + r.begIdx() + "; last macd = " + macd[r.count() - 1]);C#
using System;
using TALib;
var series = new double[252]; // your data, oldest first
var macd = new double[252];
var macdSignal = new double[252];
var macdHist = new double[252];
var core = Core.Default;
OutRange r = core.Macd(0, series.Length - 1, series, 12, 26, 9, macd, macdSignal, macdHist);
Console.WriteLine($"{r.Count} values from bar {r.BegIdx}; last macd = {macd[r.Count - 1]}");TypeScript
import { macd } from 'ta-lib';
const series = new Float64Array(252); // your data, oldest first
const {
begIdx,
outMacd,
outMacdSignal,
outMacdHist,
} = macd(series, { fastPeriod: 12, slowPeriod: 26, signalPeriod: 9 });
console.log(outMacd.length + ' values from bar ' + begIdx + '; last outMacd = ' + outMacd[outMacd.length - 1]);Implementation
Added in 0.4.0.
TA-Lib Definition: macd.c · macd.yaml
| Native | File |
|---|---|
| C | ta_MACD.c |
| Rust | macd.rs |
| Java | Core_MACD.java |
| C# | Core_MACD.cs |
| TypeScript | macd.ts |
Python: talib.MACD, see ta-lib-python.
TA-Lib is also available for R and more using a wrapper.
Aliases
moving average convergence divergence, moving average convergence/divergence
See Also
References
- Gerald Appel, Stock Market Trading Systems, Traders Pr (ISBN 0934380163)