Trendyways-Module

Trendyways library by rubenafo wrapped into javascript module.

Small javascript library containing methods to be used in financial technical analysis of stock time series. It is intended to be a simple library, suitable to be inserted in any visulization workflow to generate results on the fly.

How to use it

Install via npm:

npm i trendyways-module

Then in your javascript file use require or import syntax:

import trendyways from 'trendyways-module'

And you are ready to use its functions like

var macd = trendyways.indicators.macd(....);

Documentation

Please refer to the wiki of the project to access the latest documentation: https://github.com/rubenafo/trendyways/wiki

General purpose functions:

• series min.
• series max.
• series mean.
• series standar deviation.

Averages and Intervals:

• MA: simple moving average.
• EMA: exponential moving average.
• WMA: weighted moving average.
• Bollinger bands (window n, k value).

Error methods:

• series MSE
• series RMSE
• series MAE

Support and Resistance methods:

• Floor pivot points (resistances R1, R2 and R3; and supports S1, S2 and S3).
• Tom Demarks Points (low:high values prediction).
• Woodies Points (resistances R1,R2; and supports S1 and S2).
• Camarilla Points (resistances R1,R2,R3 and R4; supports S1,S2,S3 and S4).
• Fibonacci Retracements (for both uptrend and downtrend series).

Technical Indicators:

• On-Balance Volume (obv)
• Price and Volume Trend (pvt)
• Money Flow Index (mfi)
• MACD indicator (macd)
• Momentum (n-th order momentum)
• Rate of Change (ROC) (n-th order)
• RSI (Relative Strength Index) (n-th order)
• Average True Range (ATR)
• Average Directional Index (ADV)

Tests

If you want to run your tests locally, use mocha to run the /tests files:

npm run test