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.
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(....);
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)
If you want to run your tests locally, use mocha to run the /tests files:
npm run test