chart-patterns
v1.0.26TypeScript
Trading Chart Patterns
0/weekUpdated 6 months agoMITUnpacked: 230.6 KB
Published by focus1691
npm install chart-patternschart-patterns
TypeScript library that provides technical analysis for volume-based indicators and uses peak detection algorithms to generate pattern-based indicators.
$3
| Tool | Description |
|------|-------------|
| Market Profile | Generates TPO profiles with Value Area, Initial Balance, and Point of Control. |
| Volume Profile | Generate Volume Profiles to find the Value Area. Process either Kline or tick data to build these profiles. |
---
$3
| Tool | Description |
|------|-------------|
| Divergences | Detects bullish/bearish divergences between price and indicators (MFI, RSI). |
| Peak Detector | Z-Score-based Peak Detector to find swing highs and lows. |
| Range Finder | Finds key support and resistance zones from price swings. |
| Zigzags | Highlights major price swings only. |
| Zscore | Measures how far price deviates from the mean — useful for spotting extremes. |
---
$3
Requires raw trade data. More information can be found in my blog post here.
| Tool | Description |
|------|-------------|
| Stacked Imbalances | Finds clusters of aggressive buying or selling — potential turning points. |
| High Volume Node | Highlights price levels with exceptionally high traded volume. |
---
$3
| Tool | Description |
|------|-------------|
| EMA | Exponential Moving Average — a weighted moving average that reacts quickly to price. |
| MFI | Money Flow Index — Volume-based oscillator showing buy/sell pressure. |
| Pivot Points | Calculates pivot, support, and resistance levels. |
| RSI | Relative Strength Index — Measures momentum to spot overbought/oversold. |
| SMA | Simple Moving Average — Simple average of price over a period. |
| Stochastic RSI | Tracks RSI momentum shifts. |
| VWAP | Average price weighted by volume. |
---
$3
| Pattern | Description |
|---------|-------------|
| Doji | Signals indecision — open and close are nearly equal. |
| Engulfing | Reversal pattern where one candle fully engulfs the previous. |
| Excess | Detects large wicks, suggesting rejection from highs or lows. |
| Harami | Small candle inside a larger one — potential reversal. |
| Homing Pigeon | Two small-bodied candles in a downtrend — possible bullish reversal. |
| Inverted Hammer | Small body with long upper wick — potential bullish reversal. |
| Marubozu | Full-body candle with no wicks — strong directional move. |
| Morning Star / Evening Star | Three-candle reversal pattern — bullish (morning) or bearish (evening). |
Usage
``
ts
import * as ta from 'chart-patterns';
import { IMarketProfile, ILocalRange, IZScoreConfig, IDivergence } from 'chart-patterns/dist/types';
import { MARKET_PROFILE_PERIODS, SIGNAL_DIRECTION } from 'chart-patterns/dist/constants';// Market Profile
const marketProfiles: IMarketProfile[] = ta.MarketProfile.build({
candles,
candleGroupingPeriod: MARKET_PROFILE_PERIODS.DAILY,
tickSize: 0.1,
pricePrecision: 2,
tickMultiplier: 100,
timezone: 'Europe/London'
});
// Volume Profile - Session-based API
// Create a session for candle-based volume profile
const volumeProfileBarSession = ta.VolumeProfile.createBarSession({
valueAreaRowSize: 24,
valueAreaVolume: 0.7,
pricePrecision: 2
});
// Process candles one by one
candles.forEach((candle) => volumeProfileBarSession.processCandle(candle));
// Get value area and distribution results
const valueArea = barSession.getValueArea();
const distribution = barSession.getVolumeDistribution();
// For raw trade data - even more precision
const volumeProfileTickSession = ta.VolumeProfile.createTickSession();
// Process each individual trade
for (const trade of trades) {
volumeProfileTickSession.processTrade(trade);
}
// Get detailed trade analysis with exact price levels
const tickDistribution = volumeProfileTickSession.getVolumeDistribution();
// Money Flow Index - volume-based momentum oscillator
const mfiValues = ta.MFI.calculateMFI(candles, 14);
// RSI and Stochastic RSI
const rsiValues = ta.RSI.calculateRSI(candles, 14);
const stochRsiResult = ta.RSI.calculateStochasticRSI(candles, 14, 14, 3, 3);
// Z-Score configuration for peak/pattern detection algorithms
const zScoreConfig: IZScoreConfig = {
lag: 2, // Controls smoothing and adaptability to trend changes
threshold: 0.1, // Number of standard deviations to classify a signal
influence: 1 // How strongly signals affect future calculations (0-1)
};
const ranges: ILocalRange[] = ta.RangeBuilder.findRanges(candles, zScoreConfig);
// Create zigzag points for pattern recognition
const zigzags = ta.ZigZags.create(candles, zScoreConfig);
const zScoreConfigDivergences: IZScoreConfig = {
lag: 3,
threshold: 1,
influence: 0.75
};
// Divergence Detection - Find divergences between price and indicators
const mfiDivergences: IDivergence[] = ta.Divergences.mfi(candles, zScoreConfigDivergences, 14);
const rsiDivergences: IDivergence[] = ta.Divergences.rsi(candles, zScoreConfigDivergences, 14);
// Candlestick Pattern Detection - Excess (large wicks indicating rejection)
const excessDirection: SIGNAL_DIRECTION = ta.CandlestickPatterns.getCandleExcessDirection(candles[0]);
``Visualisations
| Market Profile | MFI Divergence |
> | > |
| Range Detection | |
> | |