Trendyways.js: Financial Technical Analysis Library Demos

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Price smoothing

Moving averages

Simple, exponential, and weighted averages calculated from the same closing-price series.

Code demo

const series = [{ c: 2 }, { c: 6 }, { c: 5 }, { c: 7 }, { c: 10 }, { c: 9 }, { c: 12 }, { c: 5 }];
const ma = tw.ma(series, 4);
const ema = tw.ema(series, 4, "c");
const wma = tw.wma(series, [0.6, 0.3, 0.1]);

Close vs MA, EMA, WMAwindow 4

Volatility envelope

Bollinger bands

Upper, middle, and lower bands reveal how far price has moved from its recent average.

Price with upper and lower bandsn 3, k 2

Code demo

const series = [{ c: 2.1 }, { c: 4.3 }, { c: 4.5 }, { c: 4.8 }, { c: 5.0 }, { c: 5.8 }, { c: 7.1 }, { c: 9.1 }];
const bands = tw.bollinger(series, 3, 2);

Trend momentum

MACD

MACD line, signal line, and histogram values from a longer closing-price sample.

Code demo

const series = closes.map(c => ({ c }));
const result = tw.macd(series);
const last = result[result.length - 1].macd;

MACD line, signal, and histogram12 / 26 / 9

Relative strength

RSI

RSI values plotted with common 70 and 30 guide levels for fast reading.

RSI with guide levelsperiod 14

Code demo

const result = tw.rsi(values, 14);
const rsiValues = result.map(row => row.rsi ?? null);

Range position

Stochastic oscillator

%K and %D show where the latest close sits within the recent high-low range.

Code demo

const highs = candles.map(row => row.h);
const lows = candles.map(row => row.l);
const closes = candles.map(row => row.c);
const result = tw.stochastic(highs, lows, closes, 14, 3);

%K and %D14 / 3

Directional strength

ADX and ATR

ADX, positive and negative directional movement, true range, and average true range on OHLC data.

ADX, DI+, DI-, and ATROHLC sample

Code demo

const adx = tw.adx(candles);
const atr = tw.atr(candles);
const lastAdx = adx[adx.length - 1].adx;
const lastAtr = atr[atr.length - 1].at.atr;

Price levels

Support and resistance

Floor pivots, Camarilla, Woodie's, Tom DeMark, and Fibonacci retracements from compact OHLC inputs.

Code demo

const floor = tw.floorPivots([{ c: 15, h: 18, l: 5 }]);
const cam = tw.camarillaPoints(points);
const wood = tw.woodiesPoints(points);
const tom = tw.tomDemarksPoints(points);
const fibs = tw.fibonacciRetrs(points, "UPTREND");

Price with floor pivot levelsR1 / PL / S1

Method	Primary support	Pivot or low	Primary resistance	Secondary resistance

Candle	100%	61.8%	50%	38.2%	23.6%	0%

Volume pressure

OBV, VPT, and MFI

Volume indicators compare price direction, traded volume, and typical price movement.

Volume indicator outputsscaled view

Code demo

const obv = tw.obv(closes, volumes);
const vpt = tw.vpt(closes, volumes);
const mfi = tw.mfi(ohlcv, 14);

Descriptive math

Statistics

Basic descriptive functions for numeric arrays and object-based series.

Code demo

const values = [2, 6, 5, 7, 10, 9, 12, 5];
tw.max(values);
tw.min(values);
tw.mean(values);
tw.sd(values);

Array operations

Vector operations

Element-wise operations and scalar summaries for small numeric vectors.

Code demo

const a = [5, 3, 8];
const b = [2, 1, 6];
tw.diffVectors(a, b);
tw.divVector(a, b);
tw.powVector(a);
tw.absVector([-1, -2, 3]);
tw.sumVector(a);
tw.avgVector(a);
tw.combineVectors(a, b, (x, y) => x * y);

Forecast checks

Error metrics

MSE, RMSE, and MAE compare predicted series with observed values.

Code demo

const actual = [1.2, 3.4, -7.8, 2.3, 8.9, 5];
const predicted = [2.2, 8.4, 7.8, -2.3, -8.9, 5.1];
tw.mse(actual, predicted);
tw.rmse(actual, predicted);
tw.mae(actual, predicted);