https://github.com/deepentropy/lightweight-charts-indicators

120+ Technical analysis indicators for TradingView's lightweight-charts v5 library
https://github.com/deepentropy/lightweight-charts-indicators
lightweight-charts technical-analysis tradingview
Last synced: 4 months ago
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120+ Technical analysis indicators for TradingView's lightweight-charts v5 library
Host: GitHub
URL: https://github.com/deepentropy/lightweight-charts-indicators
Owner: deepentropy
License: mit
Created: 2025-12-09T12:59:30.000Z (6 months ago)
Default Branch: main
Last Pushed: 2026-02-25T19:39:34.000Z (4 months ago)
Last Synced: 2026-02-25T19:54:54.992Z (4 months ago)
Topics: lightweight-charts, technical-analysis, tradingview
Language: TypeScript
Homepage:
Size: 3.25 MB
Stars: 50
Watchers: 1
Forks: 9
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
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README

          # lightweight-charts-indicators

**[Live Demo](https://deepentropy.github.io/lightweight-charts-indicators/)**

446 technical analysis indicators for TradingView's lightweight-charts library — 82 standard indicators, 317 community indicators, and 44 candlestick patterns. PineScript v6 compatible with full drawing primitive support (lines, boxes, labels, tables).

## Installation

```bash

npm install lightweight-charts-indicators oakscriptjs lightweight-charts

```

## Quick Start

```typescript

import { SMA, RSI, MACD, BollingerBands } from 'lightweight-charts-indicators';

import type { Bar } from 'oakscriptjs';

const bars: Bar[] = [

  { time: 1, open: 100, high: 105, low: 95, close: 102, volume: 1000 },

  // ... more bars

];

// Simple Moving Average

const smaResult = SMA.calculate(bars, { len: 14 });

// RSI

const rsiResult = RSI.calculate(bars, { length: 14 });

// MACD

const macdResult = MACD.calculate(bars, { fastLength: 12, slowLength: 26, signalLength: 9 });

// Bollinger Bands

const bbResult = BollingerBands.calculate(bars, { length: 20, mult: 2 });

```

## Lightweight-Charts Integration Example

Here's a complete example showing how to integrate indicators with TradingView's lightweight-charts:

```typescript

import { createChart, ColorType, LineSeries, CandlestickSeries } from 'lightweight-charts';

import { SMA, RSI, BollingerBands } from 'lightweight-charts-indicators';

import type { Bar } from 'oakscriptjs';

// Sample OHLCV data

const bars: Bar[] = [

  { time: 1609459200, open: 100, high: 105, low: 98, close: 103, volume: 1000 },

  { time: 1609545600, open: 103, high: 108, low: 101, close: 107, volume: 1200 },

  { time: 1609632000, open: 107, high: 110, low: 104, close: 105, volume: 900 },

  // ... more bars

];

// Create the main chart

const chartContainer = document.getElementById('chart')!;

const chart = createChart(chartContainer, {

  layout: {

    background: { type: ColorType.Solid, color: '#1e1e1e' },

    textColor: '#d1d4dc',

  },

  width: 800,

  height: 400,

});

// Add candlestick series

const candlestickSeries = chart.addSeries(CandlestickSeries);

candlestickSeries.setData(bars.map(bar => ({

  time: bar.time as number,

  open: bar.open,

  high: bar.high,

  low: bar.low,

  close: bar.close,

})));

// Calculate and add SMA overlay

const smaResult = SMA.calculate(bars, { len: 20, src: 'close' });

const smaSeries = chart.addSeries(LineSeries, { color: '#2962FF', lineWidth: 2 });

smaSeries.setData(smaResult.plots.plot0);

// Calculate and add Bollinger Bands

const bbResult = BollingerBands.calculate(bars, { length: 20, mult: 2 });

const bbUpperSeries = chart.addSeries(LineSeries, { color: '#787B86', lineWidth: 1 });

const bbMiddleSeries = chart.addSeries(LineSeries, { color: '#FF6D00', lineWidth: 1 });

const bbLowerSeries = chart.addSeries(LineSeries, { color: '#787B86', lineWidth: 1 });

bbUpperSeries.setData(bbResult.plots.plot0);  // Upper band

bbMiddleSeries.setData(bbResult.plots.plot1); // Basis (middle)

bbLowerSeries.setData(bbResult.plots.plot2);  // Lower band

// Create a separate pane for RSI (oscillator)

const rsiContainer = document.getElementById('rsi-chart')!;

const rsiChart = createChart(rsiContainer, {

  layout: {

    background: { type: ColorType.Solid, color: '#1e1e1e' },

    textColor: '#d1d4dc',

  },

  width: 800,

  height: 150,

});

const rsiResult = RSI.calculate(bars, { length: 14, src: 'close' });

const rsiSeries = rsiChart.addSeries(LineSeries, { color: '#7E57C2', lineWidth: 2 });

rsiSeries.setData(rsiResult.plots.plot0);

// Sync the time scales

chart.timeScale().subscribeVisibleLogicalRangeChange(range => {

  if (range) rsiChart.timeScale().setVisibleLogicalRange(range);

});

```

## Available Indicators (446)

### Moving Averages

| Indicator | Export | Description |

|-----------|--------|-------------|

| Simple Moving Average | `SMA` | Arithmetic mean over a specified period |

| Exponential Moving Average | `EMA` | Weighted average giving more weight to recent prices |

| Weighted Moving Average | `WMA` | Linearly increasing weights |

| Smoothed Moving Average (RMA) | `RMA` | Wilder smoothing (alpha = 1/length) |

| Double EMA | `DEMA` | Reduces lag by applying EMA twice |

| Triple EMA | `TEMA` | Further reduces lag with triple exponential smoothing |

| Hull Moving Average | `HMA` | Reduces lag while maintaining smoothness |

| Least Squares Moving Average | `LSMA` | Uses linear regression to fit a line |

| Arnaud Legoux Moving Average | `ALMA` | Gaussian distribution to reduce lag |

| Volume Weighted Moving Average | `VWMA` | Moving average weighted by volume |

| Smoothed Moving Average | `SMMA` | Wilder smoothing moving average |

| McGinley Dynamic | `McGinleyDynamic` | Adaptive moving average that adjusts to market speed |

| MA Cross | `MACross` | Two moving averages for crossover signals |

| Moving Average Ribbon | `MARibbon` | Multiple MAs showing trend direction and momentum |

| Zero Lag LSMA | `ZLSMA` | Double linreg to cancel LSMA lag |

### Oscillators

| Indicator | Export | Description |

|-----------|--------|-------------|

| Relative Strength Index | `RSI` | Momentum oscillator (0-100) measuring price changes |

| Stochastic | `Stochastic` | Compares closing price to price range |

| Stochastic RSI | `StochRSI` | Stochastic applied to RSI values |

| Commodity Channel Index | `CCI` | Measures variation from statistical mean |

| Williams %R | `WilliamsPercentRange` | Momentum showing overbought/oversold levels |

| Awesome Oscillator | `AwesomeOscillator` | Market momentum using SMA difference |

| Chande Momentum Oscillator | `ChandeMO` | Momentum on a scale of -100 to +100 |

| Detrended Price Oscillator | `DPO` | Removes trend to identify cycles |

| Relative Vigor Index | `RVI` | Measures conviction of price action |

| SMI Ergodic Indicator | `SMIErgodic` | TSI-based momentum with signal line |

| SMI Ergodic Oscillator | `SMIErgodicOscillator` | SMI minus signal as histogram |

| True Strength Index | `TSI` | Double-smoothed momentum oscillator |

| Woodies CCI | `WoodiesCCI` | CCI with turbo for faster signals |

| Bollinger Bands %B | `BBPercentB` | Price position relative to BB (0=lower, 1=upper) |

| Fisher Transform | `FisherTransform` | Gaussian distribution for clearer turning points |

| Ultimate Oscillator | `UltimateOscillator` | Multi-timeframe weighted momentum |

| Rank Correlation Index | `RCI` | Correlation between price rank and time rank |

| RCI Ribbon | `RCIRibbon` | Multiple RCI lines for trend visualization |

| Relative Volatility Index | `RelativeVolatilityIndex` | Volatility-based oscillator |

| Chop Zone | `ChopZone` | Colored zone indicator for market choppiness |

| CCT Bollinger Band Oscillator | `CCTBBO` | Normalized BB position (0-100) with signal line |

| KDJ | `KDJ` | Extended Stochastic with J line (3K - 2D) |

| WaveTrend | `WaveTrend` | Channel index oscillator with cross signals |

| Forecast Oscillator | `ForecastOscillator` | Percentage deviation from linear regression |

| Schaff Trend Cycle | `SchaffTrendCycle` | Double stochastic smoothing of MACD |

### Momentum

| Indicator | Export | Description |

|-----------|--------|-------------|

| MACD | `MACD` | Relationship between two EMAs |

| Momentum | `Momentum` | Rate of change of price |

| Rate of Change | `ROC` | Percentage change over a period |

| Balance of Power | `BOP` | Strength of buyers vs sellers |

| Bull Bear Power | `BullBearPower` | Buying/selling pressure relative to EMA |

| Elder Force Index | `ElderForceIndex` | Combines price and volume |

| Price Oscillator (PPO) | `PriceOscillator` | MACD as percentage for comparison |

| Coppock Curve | `CoppockCurve` | Long-term momentum using ROC and WMA |

| TRIX | `TRIX` | Triple EMA rate of change, filters noise |

| Connors RSI | `ConnorsRSI` | Composite of RSI, streak, and percentile rank |

| KST | `KST` | Know Sure Thing - weighted ROC sum |

| MACD 4C | `MACD4C` | MACD histogram with 4-color coding |

| Squeeze Momentum | `SqueezeMomentum` | BB/KC squeeze with momentum oscillator |

| Impulse MACD | `ImpulseMACD` | ZLEMA vs SMMA channel impulse |

### Trend

| Indicator | Export | Description |

|-----------|--------|-------------|

| Average Directional Index | `ADX` | Measures trend strength regardless of direction |

| Directional Movement Index | `DMI` | +DI, -DI, and ADX for trend direction/strength |

| Ichimoku Cloud | `IchimokuCloud` | Comprehensive trend system with support/resistance |

| Parabolic SAR | `ParabolicSAR` | Trend-following with entry/exit points |

| Supertrend | `Supertrend` | ATR-based dynamic support/resistance |

| Aroon | `Aroon` | Trend strength by time since high/low |

| BBTrend | `BBTrend` | Measures trend using Bollinger Bands |

| Choppiness Index | `Choppiness` | Market choppiness vs trending |

| Mass Index | `MassIndex` | Identifies reversals via high-low range |

| Vortex Indicator | `VortexIndicator` | Identifies trend start and direction |

| Williams Alligator | `WilliamsAlligator` | Three smoothed MAs for trend detection |

| Zig Zag | `ZigZag` | Connects pivot highs and lows |

| Trend Strength Index | `TrendStrengthIndex` | Trend strength based on directional movement |

| Chande Kroll Stop | `ChandeKrollStop` | ATR-based trailing stop system |

| Williams Fractals | `WilliamsFractals` | Identifies reversal points in price |

| Moon Phases | `MoonPhases` | New and full moon markers |

| TWAP | `TWAP` | Time-weighted average price |

| Coral Trend | `CoralTrend` | Cascaded EMA filter for smooth trend detection |

| Chandelier Exit | `ChandelierExit` | ATR-based trailing stop system |

| Donchian Trend Ribbon | `DonchianTrendRibbon` | Multi-layer Donchian breakout composite score |

### Volatility

| Indicator | Export | Description |

|-----------|--------|-------------|

| Average True Range | `ATR` | Average range between high and low |

| Average Day Range | `ADR` | Average daily price range |

| Standard Deviation | `StandardDeviation` | Measures price volatility |

| Historical Volatility | `HistoricalVolatility` | Annualized standard deviation of log returns |

| Bollinger BandWidth | `BBBandWidth` | Width of Bollinger Bands as percentage |

| Bollinger Bars | `BollingerBars` | Colored candles based on BB position |

### Channels & Bands

| Indicator | Export | Description |

|-----------|--------|-------------|

| Bollinger Bands | `BollingerBands` | Volatility bands using standard deviation |

| Keltner Channels | `KeltnerChannels` | Volatility envelope using EMA and ATR |

| Donchian Channels | `DonchianChannels` | Highest high and lowest low over period |

| Envelope | `Envelope` | Moving average with fixed percentage bands |

| Median | `Median` | Median price with ATR bands |

### Volume

| Indicator | Export | Description |

|-----------|--------|-------------|

| On Balance Volume | `OBV` | Cumulative volume based on price direction |

| Money Flow Index | `MFI` | Volume-weighted RSI |

| Price Volume Trend | `PVT` | Cumulative volume weighted by price changes |

| Volume Oscillator | `VolumeOscillator` | Percentage difference between volume EMAs |

| Chaikin Money Flow | `ChaikinMF` | Buying/selling pressure using price and volume |

| Chaikin Oscillator | `ChaikinOscillator` | Momentum of Accumulation/Distribution line |

| Ease of Movement | `EaseOfMovement` | Price change relative to volume |

| Klinger Oscillator | `KlingerOscillator` | Volume-based long-term money flow |

| Net Volume | `NetVolume` | Difference between up and down volume |

| Volume Delta | `VolumeDelta` | Difference between buying and selling volume |

| Cumulative Volume Delta | `CumulativeVolumeDelta` | Running total of volume delta |

| Relative Volume at Time | `RelativeVolumeAtTime` | Current volume vs historical average |

| Colored Volume Bars | `ColoredVolume` | Volume colored by price/volume trend |

| OBV MACD | `OBVMACD` | MACD applied to On Balance Volume |

### Community Indicators (317)

317 community indicators ported from TradingView PineScript sources, covering trend systems, divergence detectors, multi-MA strategies, volume analysis, market structure, and more. Full list in [docs/INDICATOR_INVENTORY_COMMUNITY.md](docs/INDICATOR_INVENTORY_COMMUNITY.md).

Categories include: Hyper Trend, AlphaTrend, HalfTrend, QQE MOD, Hull Suite, SuperTrend variants, Market Structure Trailing Stop, Liquidity Levels, Order Blocks, ZigZag Fibonacci, Trendlines with Breaks, and many more.

Drawing primitive support: Lines (`LineDrawingData`), Boxes (`BoxData`), Labels (`LabelData`), Tables (`TableData`), Markers, Bar Colors, Background Colors, and Plot Candles.

### Candlestick Patterns (44)

All 44 patterns from TradingView's standard candlestick pattern library, rendered as chart markers.

| Pattern | Signal | Candles |

|---------|--------|---------|

| Abandoned Baby | Bullish / Bearish | 3 |

| Dark Cloud Cover | Bearish | 2 |

| Doji | Neutral | 1 |

| Doji Star | Bullish / Bearish | 2 |

| Downside Tasuki Gap | Bearish | 3 |

| Dragonfly Doji | Bullish | 1 |

| Engulfing | Bullish / Bearish | 2 |

| Evening Doji Star | Bearish | 3 |

| Evening Star | Bearish | 3 |

| Falling Three Methods | Bearish | 5 |

| Falling Window | Bearish | 2 |

| Gravestone Doji | Bearish | 1 |

| Hammer | Bullish | 1 |

| Hanging Man | Bearish | 1 |

| Harami | Bullish / Bearish | 2 |

| Harami Cross | Bullish / Bearish | 2 |

| Inverted Hammer | Bullish | 1 |

| Kicking | Bullish / Bearish | 2 |

| Long Lower Shadow | Bullish | 1 |

| Long Upper Shadow | Bearish | 1 |

| Marubozu Black | Bearish | 1 |

| Marubozu White | Bullish | 1 |

| Morning Doji Star | Bullish | 3 |

| Morning Star | Bullish | 3 |

| On Neck | Bearish | 2 |

| Piercing | Bullish | 2 |

| Rising Three Methods | Bullish | 5 |

| Rising Window | Bullish | 2 |

| Shooting Star | Bearish | 1 |

| Spinning Top Black | Neutral | 1 |

| Spinning Top White | Neutral | 1 |

| Three Black Crows | Bearish | 3 |

| Three White Soldiers | Bullish | 3 |

| Tri-Star | Bullish / Bearish | 3 |

| Tweezer Bottom | Bullish | 2 |

| Tweezer Top | Bearish | 2 |

| Upside Tasuki Gap | Bullish | 3 |

## Output Format

All indicators return an `IndicatorResult` object:

```typescript

interface IndicatorResult {

  metadata: {

    title: string;

    shortTitle: string;

    overlay: boolean;  // true = display on price chart, false = separate pane

  };

  plots: {

    plot0: Array<{ time: number; value: number }>;

    plot1?: Array<{ time: number; value: number }>;

    // ... additional plots as needed

  };

}

```

## Indicator Registry

For dynamic indicator selection (e.g., building a UI), use the `indicatorRegistry`:

```typescript

import { indicatorRegistry } from 'lightweight-charts-indicators';

// List all indicators

indicatorRegistry.forEach(indicator => {

  console.log(`${indicator.name} (${indicator.category})`);

});

// Get indicator by ID

const sma = indicatorRegistry.find(i => i.id === 'sma');

const result = sma?.calculate(bars, sma.defaultInputs);

// Filter by category

const oscillators = indicatorRegistry.filter(i => i.category === 'Oscillators');

```

## Building

```bash

npm run build

```

## Testing

```bash

npm test

```

## License

MIT
ecosyste.ms

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https://github.com/deepentropy/lightweight-charts-indicators

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README
