 # macd

FinTech utility to calculate MACD, the Moving Average Convergence / Divergence.

• macd

## Stats

StarsIssuesVersionUpdatedCreatedSize
macd
2001.0.42 years ago5 years ago   WARNING
This module is lack of maintainance.
If you are familiar with python programming maybe you could check stock-pandas which provides powerful statistic indicators support, and is backed by `numpy` and `pandas`.
The performance of stock-pandas is many times higher than JavaScript libraries, and can be directly used by machine learning programs.
macd
FinTech utility to calculate MACD.
MACD, short for Moving Average Convergence / Divergence, is a trading indicator used in technical analysis of stock prices, created by Gerald Appel in the late 1970s.

## Install

``\$ npm install macd``

## Usage

``````import macd from 'macd'

macd(data)

// which returns:
// {
//   MACD: <Array>,
//   signal: <Array>,
//   histogram: <Array>
// }``````

## macd(data, slowPeriods, fastPeriods, signalPeriods)

• data `Array.<Number>` the collection of prices
• slowPeriods `Number=26` the size of slow periods. Defaults to `26`
• fastPeriods `Number=12` the size of fast periods. Defaults to `12`
• signalPeriods `Number=9` the size of periods to calculate the MACD signal line.

Returns `MACDGraph`

### struct `MACDGraph`

• MACD `Array.<Number>` the difference between EMAs of the fast periods and EMAs of the slow periods.
• signal `Array.<Number>` the EMAs of the `MACD`
• histogram `Array.<Number>` `MACD` minus `signal`

In some countries, such as China, the three series above are commonly known as:
``````MACD       -> DIF
signal     -> DEA
histogram  -> MACD``````