A javascript technical indicators written in typescript.
npm install --save technicalindicators
const SMA = require('technicalindicators').SMA;
For nodejs version below 10 use 1.x versions of this library.
Make sure you have the following in your config file.
module.exports = {
resolve: {
mainFields: ["module", "main"]
}
}
For browsers install using npm,
For ES6 browsers use
npm install --save technicalindicators
<script src="node_modules/technicalindicators/dist/browser.es6.js"></script>
For ES5 support it is necessary to include the babel-polyfill and respective file browser.js otherwise you will get an error. For example see index.html
npm install --save technicalindicators
npm install --save babel-polyfill
<script src="node_modules/babel-polyfill/browser.js"></script>
<script src="node_modules/technicalindicators/dist/browser.js"></script>
Pattern detection is removed from version 3.0, if you need pattern detection use v2.0
All indicators will be available in window object. So you can just use
sma({period : 5, values : [1,2,3,4,5,6,7,8,9], reversedInput : true});
or
SMA.calculate({period : 5, values : [1,2,3,4,5,6,7,8,9]});
Playground with code completion
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- Accumulation Distribution Line (ADL).
- Average Directional Index (ADX).
- Average True Range (ATR).
- Awesome Oscillator (AO).
- Bollinger Bands (BB).
- Commodity Channel Index (CCI).
- Force Index (FI).
- Know Sure Thing (KST).
- Moneyflow Index (MFI).
- Moving Average Convergence Divergence (MACD).
- On Balance Volume (OBV).
- Parabolic Stop and Reverse (PSAR).
- Rate of Change (ROC).
- Relative Strength Index (RSI).
- Simple Moving Average (SMA).
- Stochastic Oscillator (KD).
- Stochastic RSI (StochRSI).
- Triple Exponentially Smoothed Average (TRIX).
- Typical Price.
- Volume Weighted Average Price (VWAP).
- Volume Profile (VP).
- Exponential Moving Average (EMA).
- Weighted Moving Average (WMA).
- Wilder’s Smoothing (Smoothed Moving Average, WEMA).
- WilliamsR (W%R).
- Ichimoku Cloud.
- Abandoned Baby.
- Bearish Engulfing Pattern.
- Bullish Engulfiing Pattern.
- Dark Cloud Cover.
- Downside Tasuki Gap.
- Doji.
- DragonFly Doji.
- GraveStone Doji.
- BullishHarami.
- Bearish Harami Cross.
- Bullish Harami Cross.
- Bullish Marubozu.
- Bearish Marubozu.
- Evening Doji Star.
- Evening Star.
- Bearish Harami.
- Piercing Line.
- Bullish Spinning Top.
- Bearish Spinning Top.
- Morning Doji Star.
- Morning Star.
- Three Black Crows.
- Three White Soldiers.
- Bullish Hammer.
- Bearish Hammer.
- Bullish Inverted Hammer.
- Bearish Inverted Hammer.
- Hammer Pattern.
- Hammer Pattern (Unconfirmed).
- Hanging Man.
- Hanging Man (Unconfirmed).
- Shooting Star.
- Shooting Star (Unconfirmed).
- Tweezer Top.
- Tweezer Bottom.
or
Search for all bullish or bearish using
var twoDayBullishInput = {
open: [23.25,15.36],
high: [25.10,30.87],
close: [21.44,27.89],
low: [20.82,14.93],
}
var bullish = require('technicalindicators').bullish;
bullish(twoDayBullishInput) //true
There are three ways you can use to get the indicator results.
Every indicator has a static method calculate
which can be used to calculate the indicator without creating an object.
const sma = require('technicalindicators').sma;
var prices = [1,2,3,4,5,6,7,8,9,10,12,13,15];
var period = 10;
sma({period : period, values : prices})
or
const SMA = require('technicalindicators').SMA;
var prices = [1,2,3,4,5,6,7,8,9,10,12,13,15];
var period = 10;
SMA.calculate({period : period, values : prices})
nextValue
method is used to get the next indicator value.
var sma = new SMA({period : period, values : []});
var results = [];
prices.forEach(price => {
var result = sma.nextValue(price);
if(result)
results.push(result)
});
This a merge of calculate and nextValue. The usual use case would be
-
Initialize indicator with available price value
-
Get results for initialized values
-
Use nextValue to get next indicator values for further tick.
var sma = new SMA({period : period, values : prices}); sma.getResult(); // [5.5, 6.6, 7.7, 8.9] sma.nextValue(16); // 10.1
Note: Calling nextValue will not update getResult() value.
This uses regular javascript numbers, so there can be rounding errors which are negligible for a technical indicators, you can set precision by using the below config. By default there is no precision set.
const technicalIndicators = require('technicalindicators');
technicalIndicators.setConfig('precision', 10);
Create issues about anything you want to report, change of API's, or request for adding new indicators. You can also create pull request with new indicators.
Typescript: Use typescript 2.0.0 other you might get max call stack reached error.
npm install -g [email protected]
TechnicalIndicators depends on the canvas
package, which requires some dependencies to be installed. You can find the instructions to do that here. If you do not install these dependencies, expect to get this error message during the installation of TechnicalIndicators:
> [email protected] install /Users/balupton/Projects/trading/technicalindicators/node_modules/canvas
> node-gyp rebuild
./util/has_lib.sh: line 31: pkg-config: command not found
gyp: Call to './util/has_lib.sh freetype' returned exit status 0 while in binding.gyp. while trying to load binding.gyp
git clone [email protected]:anandanand84/technicalindicators.git # or use your fork
cd technicalindicators
npm run start
npm test
npm run cover
- Add tests for the indicator and make them pass.
(It would be better if a sample of the stockcharts excel is used for the test case.) - Add the indicator to the
index.js
andsrc/index.ts
- Run build scripts:
npm run build-lib && npm run generateDts && npm run start
- Add it to
README.md
, with the link to the runkit url containing the sample. - Add indicator it to keywords in
package.json
andbower.json
- Send a Pull Request.
node testdocs.js
open "https://localhost:5444/testdocs.html"
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