ta.web

Technical Analysis (ta.web)

ta.web is a react compatible version of ta.js (https://github.com/Bitvested/ta.js). Not all ta.js functions are compatible with this version!

Installation

NPM

Use the package manager npm to install ta.web.

npm install ta.web --save

Usage

import ta from 'ta.web';

Examples

Moving Averages

• Simple Moving Average
• Smoothed Moving Average
• Weighted Moving Average
• Exponential Moving Average
• Hull Moving Average
• Least Squares Moving Average
• Volume Weighted Moving Average
• Volume Weighted Weighted Moving Average
• Wilder's Smoothing Moving Average
• Parabolic Weighted Moving Average
• Hyperbolic Weighted Moving Average
• Kaufman Adaptive Moving Average
• Custom Weighted Moving Average

Indicators

• Moving Average Convergence / Divergence
• MACD Signal
• MACD Bars
• Relative Strength Index
• Wilder's Relative Strength Index
• True Strength Index
• Balance Of Power
• Force Index
• Accumulative Swing Index
• Alligator Indicator
• Williams %R
• Stochastics
• Fibonacci Retracement
• Bollinger Bandwidth
• Ichimoku Cloud
• Average True Range
• Aroon Up
• Aroon Down
• Money Flow Index
• Rate Of Change
• Coppock Curve
• Know Sure Thing
• On-Balance Volume
• Volume-Weighted Average Price
• Fractals
• Crossover
• Momentum
• HalfTrend
• ZigZag
• Parabolic SAR
• SuperTrend
• Elder Ray Index
• Historical Volatility
• Relative Vigor Index
• Relative Vigor Index Signal
• RSI Divergence
• Divergence

Oscillators

• Alligator Oscillator
• Chande Momentum Oscillator
• Chaikin Oscillator
• Aroon Oscillator
• Awesome Oscillator
• Accelerator Oscillator
• Fisher Transform

Bands

• Bollinger Bands
• Keltner Channels
• Donchian Channels
• Fibonacci Bollinger Bands
• Envelope

Statistics

• Standard Deviation
• Variance
• Inverse Normal Distribution
• Monte Carlo Simulation
• Percentile
• Correlation
• Percentage Difference
• Expected Return
• Abnormal Return
• Kelly Criterion
• Martingale
• Anti-Martingale
• Permutations
• Winratio
• Average Win
• Average Loss
• Drawdown
• Median
• Recent High
• Recent Low
• Median Absolute Deviation
• Average Absolute Deviation
• Standard Error
• Sum Squared Differences
• Logarithm
• Exponent
• Normalize
• Denormalize
• Normalize Pair
• Normalize From
• Standardize
• Z-Score
• P-Value
• K-means Clustering
• Mean Squared Error
• Cumulative

Random functions

• Pseudo Random Number Generator
• Pick Random
• Random Range
• Random Float
• Random Order

Chart Types

• Heikin Ashi
• Renko

Miscellaneous

• Fibonacci Sequence
• Times Up
• Times Down

Experimental

• Support Line
• Resistance Line

Moving Averages

Simple Moving Average (SMA)

var data = [1, 2, 3, 4, 5, 6, 10];
var length = 6; // default = 14
await ta.sma(data, length);
// output (array)
// [3.5, 5]

Smoothed Moving Average (SMMA)

var data = [1, 2, 3, 4, 5, 6, 10];
var length = 5; // default = 14
await ta.smma(data, length);
// output (array)
// [3.4, 4.92]

Weighted Moving Average (WMA)

var data = [69, 68, 66, 70, 68];
var length = 4; // default = 14
await ta.wma(data, length);
// output (array)
// [68.3, 68.2]

Exponential Moving Average (EMA)

var data = [1, 2, 3, 4, 5, 6, 10];
var length = 6; // default = 12
await ta.ema(data, length);
// output (array)
// [3.5, 5.357]

Hull Moving Average

var data = [6, 7, 5, 6, 7, 4, 5, 7];
var length = 6; // default = 14
await ta.hull(data, length);
// output (array)
// [4.76, 5.48]

Least Squares Moving Average (LSMA)

var data = [5, 6, 6, 3, 4, 6, 7];
var length = 6; // default = 25
await ta.lsma(data, length);
// output (array)
// [4.714, 5.761]

Volume Weighted Moving Average (VWMA)

var data = [[1, 59], [1.1, 82], [1.21, 27], [1.42, 73], [1.32, 42]]; // [price, volume (quantity)]
var length = 4; // default = 20
await ta.vwma(data, length);
// output (array)
// [1.185, 1.259]

Volume Weighted Weighted Moving Average

var data = [[1,59],[1.1,82],[1.21,27],[1.42,73],[1.32,42]]; // [price, volume]
var length = 4;
await ta.vwwma(data, length);
// output (array)
// [1.262, 1.316]

Wilder's Smoothing Moving Average

var data = [1, 2, 3, 4, 5, 6, 10];
var length = 6; // default = 14
await ta.wsma(data, length);
// output (array)
// [3.5, 4.58]

Parabolic Weighted Moving Average

var data = [17, 26, 23, 29, 20];
var length = 4; // default = 14
await ta.pwma(data, length);
// output (array)
// [24.09, 25.18]

Hyperbolic Weighted Moving Average

var data = [54, 51, 86, 42, 47];
var length = 4; // default = 14
await ta.hwma(data, length);
// output (array)
// [56.2, 55.0]

Kaufman Adaptive Moving Average (KAMA)

var data = [8, 7, 8, 9, 7, 9];
var length1 = 2; // default = 10
var length2 = 4; // default = 2
var length3 = 8; // default = 30
await ta.kama(data, length1, length2, length3);
// output (array)
// [8, 8.64, 8.57, 8.57]

Custom Weighted Moving Average

var data = [69,68,66,70,68,69];
var weights = [1,2,3,5,8];
await ta.cwma(data, weights);
// output (array)
// [68.26315789473684, 68.52631578947368]

Indicators

Moving Average Convergence / Divergence (MACD)

var data = [1, 2, 3, 4, 5, 6, 14];
var length1 = 3; // default = 12
var length2 = 6; // default = 26
await ta.macd(data, length1, length2);
// output (array)
// [1.5, 3]

MACD Signal

var data = [1, 2, 3, 4, 5, 6, 14, 8, 10, 11];
var length1 = 3;
var length2 = 6;
var signal_length = 3;
await ta.macd_signal(data, length1, length2, signal_length);
// output (array)
// [2.107, 1.838, 1.653]

MACD Bars

var data = [1, 2, 3, 4, 5, 6, 14, 8, 10, 11];
var length1 = 3;
var length2 = 6;
var signal_length = 3;
await ta.macd_bars(data, length1, length2, signal_length);
// output (array)
// [-0.286, -0.269, -0.184]

Relative Strength Index (RSI)

var data = [1, 2, 3, 4, 5, 6, 7, 5];
var length = 6; // default = 14
await ta.rsi(data, length);
// output (array)
// [100.0, 100.0, 66.667]

Wilder's Relative Strength Index

var data = [1, 2, 3, 4, 5, 6, 7, 5, 6];
var length = 6; // default = 14
await ta.wrsi(data, length);
// output (array)
// [100, 71.43, 75.61]

True Strength Index (TSI)

var data = [1.32, 1.27, 1.42, 1.47, 1.42, 1.45, 1.59];
var longlength = 3; // default = 25
var shortlength = 2; // default = 13
var signallength = 2; // default = 13
await ta.tsi(data, longlength, shortlength, signallength);
// output (array)
// [[0.327, 0.320], [0.579, 0.706]]
// [strength line, signal line]

Balance Of Power

var data = [[4, 5, 4, 5], [5, 6, 5, 6], [6, 8, 5, 6]]; // [open, high, low, close]
var length = 2; // default = 14
await ta.bop(data, length);
// output (array)
// [1, 0.5]

Force Index

var data = [[1.4, 200], [1.5, 240], [1.1, 300], [1.2, 240], [1.5, 400]]; // [close, volume]
var length = 4; // default = 13
await ta.fi(data, length);
// output (array)
// [0.0075]

Accumulative Swing Index

var data = [[7, 6, 4], [9, 7, 5], [9, 8, 6]]; // [high, close, low]
await ta.asi(data);
// output (array)
// [0, -12.5]

Alligator Indicator

var data = [8,7,8,9,7,8,9,6,7,8,6,8,10,8,7,9,8,7,9,6,7,9];
// defaults shown
var jawlength = 13;
var teethlength = 8;
var liplength = 5;
var jawshift = 8;
var teethshift = 5;
var lipshift = 3;
await ta.alligator(data, jawlength, teethlength, liplength, jawshift, teethshift, lipshift);
// output (array)
// [jaw, teeth, lips]

Williams %R

var data = [2, 1, 3, 1, 2];
var length = 4; // default = 14
await ta.pr(data, length);
// output (array)
// [-0, -100, -50]

Stochastics

var data = [[3,2,1], [2,2,1], [4,3,1], [2,2,1]]; // [high, close, low]
var length = 2; // default = 14
var smoothd = 1; // default = 3
var smoothk = 1; // default = 3
await ta.stoch(data, length, smoothd, smoothk);
// output (array)
// [[66.667, 66.667], [33.336, 33.336]]
// [kline, dline]

Fibonacci Retracement

var start = 1;
var end = 2;
await ta.fib(start, end);
// output (array)
// [1, 1.236, 1.382, 1.5, 1.618, 1.786, 2, 2.618, 3.618, 4.618, 5.236]

Bollinger Bandwidth

var data = [1, 2, 3, 4, 5, 6];
var length = 5; // default = 14
var deviations = 2; // default = 1
await ta.bandwidth(data, length, deviations);
// output (array)
// [1.886, 1.344]

Ichimoku Cloud

var data = [[6, 3, 2], [5, 4, 2], [5, 4, 3], [6, 4, 3], [7, 6, 4], [6, 5, 3]]; // [high, close, low]
var length1 = 9; // default = 9
var length2 = 26; // default = 26
var length3 = 52; // default = 52
var displacement = 26; // default = 26
await ta.ichimoku(data, length1, length2, length3, displacement);
// output (array)
// [conversion line, base line, leading span A, leading span B, lagging span]

Average True Range (ATR)

var data = [[3,2,1], [2,2,1], [4,3,1], [2,2,1]]; // [high, close, low]
var length = 3; // default = 14
await ta.atr(data, length);
// output (array)
// [2, 1.667, 2.111, 1.741]

Aroon Up

var data = [5, 4, 5, 2];
var length = 3; // default = 10
await ta.aroon.up(data, length);
// output (array)
// [100, 50]

Aroon Down

var data = [2, 5, 4, 5];
var length = 3; // default = 10
await ta.aroon.down(data, length);
// output (array)
// [0, 50]

Money Flow Index

var data = [[19, 13], [14, 38], [21, 25], [32, 17]]; // [buy volume, sell volume]
var length = 3; // default = 14
await ta.mfi(data, length);
// output (array)
// [41.54, 45.58]

Rate Of Change

var data = [1, 2, 3, 4];
var length = 3; // default = 14
await ta.roc(data, length);
// output (array)
// [2, 1]

Coppock Curve

var data = [3, 4, 5, 3, 4, 5, 6, 4, 7, 5, 4, 7, 5];
var length1 = 4; // (ROC period 1) default = 11
var length2 = 6; // (ROC period 2) default = 14
var length3 = 5; // (WMA smoothing period) default = 10
await ta.cop(data, length1, length2, length3);
// output (array)
// [0.376, 0.237]

Know Sure Thing

var data = [8, 6, 7, 6, 8, 9, 7, 5, 6, 7, 6, 8, 6, 7, 6, 8, 9, 9, 8, 6, 4, 6, 5, 6, 7, 8, 9];
// roc sma #1
var r1 = 5; // default = 10
var s1 = 5; // default = 10
// roc sma #2
var r2 = 7; // default = 15
var s2 = 5; // default = 10
// roc sma #3
var r3 = 10; // default = 20
var s3 = 5; // default = 10
// roc sma #4
var r4 = 15; // default = 30
var s4 = 7; // default = 15
// signal line
var sig = 4; // default = 9
await ta.kst(data, r1, r2, r3, r4, s1, s2, s3, s4, sig);
// output (array)
// [[-0.68, -0.52], [-0.29, -0.58], [0.35, -0.36]]
// [kst line, signal line]

On-Balance Volume

var data = [[25200, 10], [30000, 10.15], [25600, 10.17], [32000, 10.13]]; // [asset volume, close price]
await ta.obv(data);
// output (array)
// [0, 30000, 55600, 23600]

Volume-Weighted Average Price

var data = [[127.21, 89329], [127.17, 16137], [127.16, 23945]]; // [average price, volume (quantity)]
var length = 2; // default = data.length
await ta.vwap(data, length);
// output (array)
// [127.204, 127.164]

Fractals

var data = [[7,6],[8,6],[9,6],[8,5],[7,4],[6,3],[7,4],[8,5]]; // [high, low]
await ta.fractals(data);
// output (array, same length as input)
// [[false, false],[false,false],[true,false],[false,false],[false,false],[false,true],[false,false],[false,false]]
// [upper fractal, lower fractal]

Crossover (golden cross)

var fastdata = [3,4,5,4,3]; // short period gets spliced when longer
var slowdata = [4,3,2,3,4];
await ta.cross(fastdata, slowdata);
// output (array)
// [{index: 1, cross true}, {index: 4, cross: false}]
// cross is true when fastdata is greater than the slowdata

Momentum

var data = [1, 1.1, 1.2, 1.24, 1.34];
var length = 4; // default = 10
var percentage = false; // default = false (true returns percentage)
await ta.mom(data, length, percentage);
// output (array)
// [0.24, 0.24]

HalfTrend

// experimental (untested) function (may change in the future), ported from:
// https://www.tradingview.com/script/U1SJ8ubc-HalfTrend/
// data = [high, close, low]
var data = [[100,97,90],[101,98,94],[103,96,92],[106,100,95],[110,101,100],[112,110,105],[110,100,90],[103,100,97],[95,90,85],[94,80,80],[90,82,81],[85,80,70]];
var atrlen = 6;
var amplitude = 3;
var deviation = 2;
await ta.halftrend(data, atrlen, amplitude, deviation);
// output (array)
// [[high, halftrend, low, signal]]

ZigZag

// Based on high / low
var data = [[10,9], [12,10], [14,12], [15,13], [16,15], [11,10], [18,15]]; // [high, low]
var percentage = 0.25; // default = 0.05
await ta.zigzag(data, percentage);
// output (array)
// [9, 10.75, 12.5, 14.25, 16, 10, 18]

// Based on close
var data = [6,7,8,9,10,12,9,8,5,3,3,3,5,7,8,9,11];
var percentage = 0.05;
await ta.zigzag(data, percentage);
// output (array)
// [6, 7.2, 8.4, 9.6, 10.8, 12.0, 10.5, 9.0, 7.5, 6.0, 4.5, 3.0, 4.6, 6.2, 7.8, 9.4, 11.0]

Parabolic SAR

var data = [[82.15,81.29],[81.89,80.64],[83.03,81.31],[83.30,82.65],[83.85,83.07],[83.90,83.11],[83.33,82.49],[84.30,82.3],[84.84,84.15],[85,84.11],[75.9,74.03],[76.58,75.39],[76.98,75.76],[78,77.17],[70.87,70.01]];
var step = 0.02;
var max = 0.2;
await ta.psar(data, step, max);
// output (array)
// [81.29,82.15,80.64,80.64,80.7464,80.932616,81.17000672,81.3884061824,81.67956556416,82.0588176964608,85,85,84.7806,84.565588,84.35487624000001]

SuperTrend

var data = [[3,2,1], [2,2,1], [4,3,1], [2,2,1]] // [high, close, low]
var length = 3; // default = 20
var multiplier = 0.5; // default = 3
await ta.supertrend(data, length, multiplier);
// output (array)
// [[5.56,1.44],[3.37,0.63]]
// [up, down]

Elder Ray Index

var data = [6,5,4,7,8,9,6,8];
var length = 7;
await ta.elderray(data, length);
// output (array)
// [[2.57,-2.43],[2.29,-2.71]]
// [bull, bear]

Historical Volatility

var data = [7,6,5,7,8,9,7,6,5];
var length = 8;
await ta.hv(data, length);
// output (array)
// [0.642, 0.682]

Relative Vigor Index

// data = [[open,high,low,close]] (requires at least 4 + length values)
var data = [[4,6,3,3], [3,5,2,2], [2,5,2,4], [4,6,4,5], [5,7,4,4], [4,6,3,4], [4,7,3,5], [5,7,5,6], [6,8,6,6], [6,9,5,6], [6,8,6,7], [7,9,5,6],[6,7,4,5],[5,6,5,6],[6,8,5,5],[5,7,2,6]];
var length = 8;
await ta.rvi(data, length);
// output (array)
// [0.29,0.21,0.15,0.16,0.09,0.05]

Relative Vigor Index Signal

var rvi = [0.29,0.21,0.15,0.16,0.09,0.05]; // requires at least 4 values
await ta.rvi_signal(rvi);
// output (array)
// [0.20,0.15,0.12]

RSI Divergence

Experimental function: https://github.com/Bitvested/ta.js/issues/18

var data = [74,83,66,78,69,70,84,73,74,73,83];
var rsi_length = 5;
var rsi_function = ta.wrsi; // default (the tradingview rsi indicator)
await ta.rsi_divergence(data, rsi_length, rsi_function);
// output (array)
// 1 = RSI is in divergence
// 0 = RSI is not in divergence
// [0, 0, 1, 0, 1, 0] (better to quantify if needed)

Universal Divergence

var data1 = [48,34,43,54,56,64,43];
var data2 = [76,74,43,55,34,32,45,47];
await ta.divergence(data1, data2);
// output (array)
// 1 = RSI is in divergence
// 0 = RSI is not in divergence
// [0, 0, 1, 1, 0, 1] (better to quantify if needed)

Oscillators

Alligator Oscillator

var data = [8,7,8,9,7,8,9,6,7,8,6,8,10,8,7,9,8,7,9,6,7,9];
// defaults shown
var jawlength = 13;
var teethlength = 8;
var liplength = 5;
var jawshift = 8;
var teethshift = 5;
var lipshift = 3;
await ta.gator(data, jawlength, teethlength, liplength, jawshift, teethshift, lipshift);
// output (array)
// [upper gator, lower gator]

Chande Momentum Oscillator

var data = [1, 1.2, 1.3, 1.3, 1.2, 1.4];
var length = 4; // default = 9
await ta.mom_osc(data, length);
// output (array)
// [0, 3.85]

Chaikin Oscillator

var data = [[2,3,4,6],[5,5,5,4],[5,4,3,7],[4,3,3,4],[6,5,4,6],[7,4,3,6]]; // [high, close, low, volume]
var length1 = 2; // default = 3
var length2 = 4; // default = 10
await ta.chaikin_osc(data, length1, length2);
// output (array)
// [-1.667, -0.289, -0.736]

Aroon Oscillator

var data = [2, 5, 4, 5];
var length = 3; // default = 25
await ta.aroon.osc(data, length);
// output (array)
// [50, 50]

Awesome Oscillator

var data = [[6, 5], [8, 6], [7, 4], [6, 5], [7, 6], [9, 8]]; // [high, low]
var shortlength = 2; // default = 5
var longlength = 5; // default = 35
await ta.ao(data, shortlength, longlength);
// output (array)
// [0, 0.9]

Accelerator Oscillator

var data = [[6, 5], [8, 6], [7, 4], [6, 5], [7, 6], [9, 8]]; // [high, low]
var shortlength = 2; // default = 5
var longlength = 4; // default = 35
await ta.ac(data, shortlength, longlength);
// output (array)
// [-5.875, -6.125, -6.5]

Fisher Transform

var data = [8,6,8,9,7,8,9,8,7,8,6,7]; // high + low / 2
var length = 9;
await ta.fisher(data, length);
// output (array)
// [[-0.318, -0.11], [-0.449, -0.318], [-0.616, -0.449]] // [fisher, trigger]

Bands

Bollinger Bands

var data = [1, 2, 3, 4, 5, 6];
var length = 5; // default = 14
var deviations = 2; // default = 1
await ta.bands(data, length, deviations);
// output (array)
// [[5.828, 3, 0.172], [6.828, 4, 1.172]]
// [upper band, middle band, lower band]

Keltner Channels

var data = [[3,2,1], [2,2,1], [4,3,1], [2,2,1], [3,3,1]]; // [high, close, low]
var length = 5; // default = 14
var deviations = 1; // default = 1
await ta.keltner(data, length, deviations);
// output (array)
// [[3.93, 2.06, 0.20]]
// [upper band, middle band, lower band]

Donchian Channels

var data = [[6, 2], [5, 2], [5, 3], [6, 3], [7, 4], [6, 3]]; // [high, low]
var length = 5; // default = 20
await ta.don(data, length);
// output (array)
// [[7, 4.5, 2], [7, 4.5, 2]]
// [upper band, base line, lower band]

Fibonacci Bollinger Bands

// created from: https://tradingview.com/script/qIKR3tbN-Fibonacci-Bollinger-Bands/
var data = [[1,59],[1.1,82],[1.21,27],[1.42,73],[1.32,42]]; // [price, volume]
var length = 4; // default = 20
var deviations = 3; // default = 3
await ta.fibbands(data, length, deviations);
// output (array)
// [[highest band -> fibonacci levels -> lowest band]]

Envelope

var data = [6,7,8,7,6,7,8,7,8,7,8,7,8];
var length = 11, // default = 10
var percentage = 0.05; // default = 0.005
await ta.envelope(data, length, percentage);
// output (array)
// [[7.541, 7.182, 6.823], [7.636, 7.273, 6.909]]
// [upper band, base line, lower band]

Statistics

Standard Deviation

var data = [1, 2, 3];
var length = 3; // default = data.length
await ta.std(data, length);
// output (float)
// 0.81649658092773

Variance

var data = [6, 7, 2, 3, 5, 8, 6, 2];
var length = 7; // default = data.length
await ta.variance(data, length);
// output (array)
// [3.918, 5.061]

Inverse Normal Distribution

var data = 0.4732;
await ta.normsinv(data);
// output (float)
// -0.06722824471054376

Monte Carlo Simulation

var data = [6, 4, 7, 8, 5, 6];
var length = 2; // default = 50
var simulations = 100; // default = 1000
var percentile = 0.5; // default = undefined (returns all raw simulations)
await ta.sim(data, length, simulations, percentile);
// output (array)
// [6, 4, 7, 8, 5, 6, 5.96, 5.7]

Percentile

var data = [[6,4,7], [5,3,6], [7,5,8]];
var percentile = 0.5;
await ta.percentile(data, percentile);
// output (array)
// [6, 4, 7]

Correlation

var data1 = [1, 2, 3, 4, 5, 2];
var data2 = [1, 3, 2, 4, 6, 3];
await ta.cor(data1, data2);
// output (float)
// 0.8808929232684737

Percentage Difference

var newval = 0.75;
var oldval = 0.5;
await ta.dif(newval, oldval);
// output (float)
// 0.5

Expected Return

var data = [0.02, -0.01, 0.03, 0.05, -0.03]; // historical return data
await ta.er(data);
// output (float)
// 0.0119

Abnormal Return

var data = [0.02, -0.01, 0.03, 0.05, -0.03]; // historical return data
var length = 3;
await ta.ar(data, length);
// output (array)
// [0.037, -0.053]

Kelly Criterion

var data = [0.01, 0.02, -0.01, -0.03, -0.015, 0.045, 0.005];
await ta.kelly(data);
// output (float)
// 0.1443

Martingale

var data = [-1,-1,1,1,-1,-1]; // win or loss (> 0 || < 0)
var bet = 5;
var max = 20;
var multiplier = 2; // default = 2
await ta.martingale(data, bet, max, multiplier);
// output (float)
// 20

Anti-Martingale

var data = [1,1,-1,-1,1,1]; // win or loss (> 0 || < 0)
var bet = 5;
var max = 20;
var multiplier = 2; // default = 2
await ta.antimartingale(data, bet, max, multiplier);
// output (float)
// 20

Permutations

var data = [10,10,10];
await ta.permutations(data);
// output (int)
// 1000

Winratio

var data = [0.01, 0.02, -0.01, -0.03, -0.015, 0.005];
await ta.winratio(data);
// output (float)
// 0.5

Average Win

var data = [0.01, 0.02, -0.01, -0.03, -0.015, 0.005];
await ta.avgwin(data);
// output (float)
// 0.012

Average Loss

var data = [0.01, 0.02, -0.01, -0.03, -0.015, 0.005];
await ta.avgloss(data);
// output (float)
// -0.018

Drawdown

var data = [1, 2, 3, 4, 2, 3];
await ta.drawdown(data);
// output (float)
// -0.5

Median

var data = [4, 6, 3, 1, 2, 5];
var length = 4; // default = data.length
await ta.median(data, length);
// output (array)
// [3, 2, 2]

Recent High

var data = [4,5,6,7,8,9,8,7,8,9,10,3,2,1];
var lookback = 3; // No higher values after 3 periods? resets after each new high
await ta.recent_high(data, lookback);
// output (object)
// {index: 10, value: 10}

Recent Low

var data = [1,4,5,6,4,3,2,3,4,3,5,7,8,8,5];
var lookback = 4; // No lower values after 4 periods? resets after each new low
await ta.recent_low(data, lookback);
// output (object)
// {index: 6, value: 2}

Median Absolute Deviation

var data = [3, 7, 5, 4, 3, 8, 9];
var length = 6; // default = data.length
await ta.mad(data, length);
// output (array)
// [1, 2]

Average Absolute Deviation

var data = [4, 6, 8, 6, 8, 9, 10, 11];
var length = 7; // default = data.length
await ta.aad(data, length);
// output (array)
// [1.673, 1.468]

Standard Error

var data = [34, 54, 45, 43, 57, 38, 49];
var size = 10; // default = data.length
await ta.se(data, size);
// output (float)
// 2.424

Sum Squared Differences

var data = [7, 6, 5, 7, 9, 8, 3, 5, 4];
var length = 7; // default = data.length
await ta.ssd(data, length);
// output (array)
// [4.87, 4.986, 5.372]

Logarithm

var data = [5, 14, 18, 28, 68, 103];
await ta.log(data);
// output (array)
// [1.61, 2.64, 2.89, 3.33, 4.22, 4.63]

Exponent

var data = [1.6, 2.63, 2.89, 3.33, 4.22, 4.63];
await ta.exp(data);
// output (array)
// [4.95, 13.87, 17.99, 27.94, 68.03, 102.51]

Normalize

var data = [5,4,9,4];
var margin = 0.1; // margin % (default = 0)
await ta.normalize(data, margin);
// output (array)
// [0.22, 0.06, 0.86, 0.06]

Denormalize

var data = [5,4,9,4]; // original data || [highest, lowest]
var norm = [0.22, 0.06, 0.86, 0.06, 0.44]; // normalized data
var margin = 0.1; // margin % (default = 0)
await ta.denormalize(data, norm, margin);
// output (array)
// [5 ,4, 9, 4, 6.4]

Normalize Pair

var pair1 = [10,12,11,13];
var pair2 = [100,130,100,140];
await ta.normalize_pair(pair1, pair2);
// output (array)
// [[55, 55], [66, 71.5], [60.5, 54.99], [71.5, 76.99]]

Normalize From

var data = [8, 12, 10, 11];
var baseline = 100;
await ta.normalize_from(data, baseline);
// output (array)
// [100, 150, 125, 137.5]

Standardize

var data = [6,4,6,8,6];
await ta.standardize(data);
// output (array)
// [0, -1.581, 0, 1.581, 0]

Z-Score

var data = [34,54,45,43,57,38,49];
var length = 5;
await ta.zscore(data, length);
// output (array)
// [1.266, -1.331, 0.408]

P-Value

var t_stat = 2;
var df = 4;
await ta.pvalue(t_stat, df);
// output (float)
// 0.075

K-means Clustering

var data = [2, 3, 4, 5, 3, 5, 7, 8, 6, 8, 6, 4, 2, 6];
var length = 4;
await ta.kmeans(data, length);
// output (array)
// [[ 4, 5, 5, 4 ], [ 7, 6, 6, 6 ], [ 8, 8 ], [ 2, 3, 3, 2 ]]

Mean Squared Error

var data1 = [7,8,7,8,6,9];
var data2 = [6,8,8,9,6,8];
await ta.mse(data1, data2);
// output (float)
// 0.6666666666666666

Cumulative

var data = [3,5,7,5,10];
var length = 4;
await ta.cum(data, length);
// output (array)
// [20, 27]

Random Functions

Pseudo Random Number Generator

var seed = "abcdefg"; // string || number
var prng = ta.random.prng(seed);
console.log(prng());
// output (float)
// 0.9100735441315919

Pick Random

var data = ['a', 'b', 'c'];
var prng = ta.random.prng('abcdefg');
ta.random.pick(data, prng); // default number generator = Math.random
// output (array element)
// 'c'

Random Range

var min = 10;
var max = 50;
var prng = ta.random.prng('abcdefg');
ta.random.range(min, max, prng); // default number generator = Math.random
// output (int)
// 46

Random Float

var min = 1.4;
var max = 2.8;
var prng = ta.random.prng('abcdefg');
ta.random.float(min, max, prng); // default number generator = Math.random
// output (float)
// 2.6741029617842287

Random Order

var data = ['a','b','c','d','e'];
var prng = ta.random.prng('abcdefg');
ta.random.order(data, prng); // default number generator = Math.random
// output (array)
// ['e', 'c', 'b', 'd', 'a'];

Chart Types

Heikin Ashi

var data = [[3, 4, 2, 3], [3, 6, 3, 5], [5, 5, 2, 3]]; // [open, high, low, close]
await ta.ha(data);
// output (array)
// [open, high, low, close]
// first 7-10 candles are unreliable

Renko

var data = [[8, 6], [9, 7], [9, 8]]; // [high, low]
var bricksize = 3;
await ta.ren(data, bricksize);
// output (array)
// [open, high, low, close]

Miscellaneous

Fibonacci Sequence

ta.fibnumbers;
// output (array)
// [0, 1, 1, 2, 3, 5, 8...];

Times Up

var data = [5,6,7,8,7,6,5];
var length = 3;
await ta.times_up(data, length);
// output (array)
// [1, 0, 0, 0]

Times Down

var data = [5,6,7,8,7,6,5];
var length = 3;
await ta.times_down(data, length);
// output (array)
// [0, 0, 0, 1]

Experimental Functions

Support Line

var data = [4,3,2,5,7,6,5,4,7,8,5,4,6,7,5];
var start = {index: 2, value: 2}; // default = recent_low(data, 25);
var support = await ta.support(data, start);
// output (object)
// support.calculate = function(x) // calculates line at position x from start.index (= 0)
// support.slope = delta y per x
// support.lowest = lowest (start) value at x = 0
// support.index = (start) index of the lowest value
// to get the line at the current candle / chart period
var current = await support.calculate(data.length-support.index);

Resistance Line

var data = [5,7,5,5,4,6,5,4,6,5,4,3,2,4,3,2,1];
var start = {index: 1, value: 7}; // default = recent_high(data, 25);
var resistance = await ta.resistance(data, start);
// output (object)
// resistance.calculate = function(x) // calculates line at position x from start.index (= 0)
// resistance.slope = delta y per x
// resistance.highest = highest (start) value
// resistance.index = (start) index of highest value
// to get the line at the current candle / chart period
var current = await resistance.calculate(data.length-resistance.index);

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT