chart-patterns

TypeScript library that provides technical analysis for volume-based indicators and uses peak detection algorithms to generate pattern-based indicators.

📊 Market & Volume Distribution

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.

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🧭 Z-Score Tools for Ranges & Swings

Tool	Description
MFI Divergences	Detects bullish/bearish divergences between price and Money Flow Index (MFI).
RSI Divergences	Detects bullish/bearish divergences between price and Relative Strength Index (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.

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🔍 Orderflow

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.

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⚙️ General Indicators

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.

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🕯️ Candlestick Patterns

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

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