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]);