Indicators Inventory

This page is an exhaustive inventory of all indicators in ta4j-core and ta4j-examples, with fully qualified names, class names, short codebase descriptions, and minimal usage guidance. It is intended as a reference and a base for future expansion (detailed use cases, example code, and cross-references).

For an overview of indicator categories and composition patterns, see Technical Indicators. For moving averages in depth, see Moving Average Indicators. For Elliott Wave indicators, see Elliott Wave Indicators. For the combined VWAP/support-resistance/Wyckoff workflow, see VWAP, Support/Resistance, and Wyckoff Guide.

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Table of contents

1. Helpers (price, volume, transforms)
2. Moving averages
3. Volatility & bands
4. Momentum & oscillators
5. Trend (ADX, Aroon, Ichimoku, SuperTrend, etc.)
6. Volume
7. Candlestick & pattern
8. Support / resistance & pivots
9. Swing & zigzag
10. Elliott Wave
11. Statistics & numeric
12. Renko
13. Analysis (PnL, returns, cash flow)
14. Charting (ta4j-examples)

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1. Helpers (price, volume, transforms)

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.helpers	ClosePriceIndicator	Returns the close price of a bar.
org.ta4j.core.indicators.helpers	OpenPriceIndicator	Returns the open price of a bar.
org.ta4j.core.indicators.helpers	HighPriceIndicator	Returns the high price of a bar.
org.ta4j.core.indicators.helpers	LowPriceIndicator	Returns the low price of a bar.
org.ta4j.core.indicators.helpers	TypicalPriceIndicator	Typical price (high + low + close) / 3.
org.ta4j.core.indicators.helpers	MedianPriceIndicator	Median price (high + low) / 2.
org.ta4j.core.indicators.helpers	TRIndicator	True Range: max(high−low,	high−prevClose	,	low−prevClose	).
org.ta4j.core.indicators.helpers	VolumeIndicator	Returns the volume of a bar.
org.ta4j.core.indicators.helpers	ClosePriceDifferenceIndicator	Difference between current and previous close (extends DifferenceIndicator).
org.ta4j.core.indicators.helpers	ClosePriceRatioIndicator	Ratio of current close to previous close.
org.ta4j.core.indicators.helpers	DifferenceIndicator	Difference between two indicators or consecutive values.
org.ta4j.core.indicators.helpers	DifferencePercentageIndicator	Percentage difference between two indicators.
org.ta4j.core.indicators.helpers	GainIndicator	Positive price changes (gains) from the source indicator.
org.ta4j.core.indicators.helpers	LossIndicator	Absolute value of negative price changes (losses).
org.ta4j.core.indicators.helpers	HighestValueIndicator	Highest value of the source indicator over a bar count.
org.ta4j.core.indicators.helpers	LowestValueIndicator	Lowest value of the source indicator over a bar count.
org.ta4j.core.indicators.helpers	PreviousValueIndicator	Value of the source indicator at the previous index.
org.ta4j.core.indicators.helpers	SumIndicator	Sum of the source indicator over a bar count.
org.ta4j.core.indicators.helpers	AverageIndicator	Average (mean) of the source indicator over a bar count.
org.ta4j.core.indicators.helpers	RunningTotalIndicator	Running sum of the source indicator.
org.ta4j.core.indicators.helpers	CombineIndicator	Combines two indicators with a binary operator (e.g. add, subtract).
org.ta4j.core.indicators.helpers	ConstantIndicator	Constant value at every index.
org.ta4j.core.indicators.helpers	FixedNumIndicator	Fixed numeric value; useful for testing or thresholds.
org.ta4j.core.indicators.helpers	FixedBooleanIndicator	Fixed boolean value.
org.ta4j.core.indicators.helpers	FixedIndicator	Wraps a single value as an indicator over the series length.
org.ta4j.core.indicators.helpers	BooleanTransformIndicator	Converts a numeric indicator to boolean via a threshold or condition.
org.ta4j.core.indicators.helpers	CrossIndicator	Detects crosses between two indicators (e.g. cross up/down).
org.ta4j.core.indicators.helpers	ConvergenceDivergenceIndicator	Convergence/divergence between two indicators.
org.ta4j.core.indicators.helpers	CloseLocationValueIndicator	CLV: where close sits in the bar range (-1 to 1).
org.ta4j.core.indicators.helpers	DateTimeIndicator	Returns the end time of each bar (or equivalent) as a numeric value.
org.ta4j.core.indicators.helpers	PercentageChangeIndicator	Percentage change of the source indicator over a period.
org.ta4j.core.indicators.helpers	PercentRankIndicator	Percent rank of the current value within a look-back window.
org.ta4j.core.indicators.helpers	StreakIndicator	Consecutive up or down streaks from the source indicator.
org.ta4j.core.indicators.helpers	AmountIndicator	Wraps a fixed amount (e.g. for position sizing).
org.ta4j.core.indicators.helpers	NumIndicator	Wraps a Num value as an indicator.
org.ta4j.core.indicators.helpers	TradeCountIndicator	Number of trades in the bar (when available).
org.ta4j.core.indicators.helpers	UnstableIndicator	Returns NaN for indices within the unstable period; used for warm-up.

Short usage (per-indicator expansion)

• What it is: As in the table (e.g. close price, true range, running sum).
• Theory: N/A for raw price/volume; for transforms, standard TA (e.g. True Range for volatility).
• When to use: As building blocks for other indicators and rules (e.g. ClosePrice → SMA, RSI; TR → ATR).
• When not to use: When a higher-level indicator (e.g. ATR, RSI) already encapsulates the logic.
• Future: use cases, example code.

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2. Moving averages

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.averages	SMAIndicator	Simple moving average.
org.ta4j.core.indicators.averages	EMAIndicator	Exponential moving average; smoothing 2/(n+1); robust NaN handling and unstable period.
org.ta4j.core.indicators.averages	MMAIndicator	Modified moving average (Wilder-style); used in RSI, ADX.
org.ta4j.core.indicators.averages	WildersMAIndicator	Wilder’s smoothing; same as MMA for RSI/ADX.
org.ta4j.core.indicators.averages	WMAIndicator	Linear weighted moving average.
org.ta4j.core.indicators.averages	LWMAIndicator	Linear weighted moving average (alternate implementation).
org.ta4j.core.indicators.averages	VWMAIndicator	Volume-weighted moving average.
org.ta4j.core.indicators.averages	SMMAIndicator	Smoothed moving average.
org.ta4j.core.indicators.averages	DoubleEMAIndicator	Double exponential moving average.
org.ta4j.core.indicators.averages	TripleEMAIndicator	Triple exponential moving average.
org.ta4j.core.indicators.averages	HMAIndicator	Hull moving average (reduces lag).
org.ta4j.core.indicators.averages	JMAIndicator	Jurik moving average; smooth response with reduced lag.
org.ta4j.core.indicators.averages	KAMAIndicator	Kaufman adaptive moving average; adapts to volatility.
org.ta4j.core.indicators.averages	MCGinleyMAIndicator	McGinley dynamic; reduces lag and adapts to market speed.
org.ta4j.core.indicators.averages	VIDYAIndicator	Chande VIDYA; smoothing adjusted by CMO (volatility).
org.ta4j.core.indicators.averages	TMAIndicator	Triangular moving average; double-smoothed SMA.
org.ta4j.core.indicators.averages	LSMAIndicator	Least squares moving average (linear regression over window).
org.ta4j.core.indicators.averages	SGMAIndicator	Savitzky–Golay moving average; polynomial smoothing.
org.ta4j.core.indicators.averages	DMAIndicator	Displaced moving average; EMA shifted in time.
org.ta4j.core.indicators.averages	EDMAIndicator	Exponential displaced moving average.
org.ta4j.core.indicators.averages	ZLEMAIndicator	Zero-lag exponential moving average.
org.ta4j.core.indicators.averages	ATMAIndicator	Asymmetric triangular moving average.
org.ta4j.core.indicators.averages	KiJunV2Indicator	Kihon (Ichimoku-style) midpoint of high-low range over period.

Short usage

• What it is: Smoothing of price (or other series) over a window; type varies (simple, exponential, weighted, adaptive).
• Theory: Averages reduce noise and lag; EMAs weight recent data more; adaptive MAs (KAMA, VIDYA, McGinley) adjust to volatility or speed.
• When to use: Trend identification, crossover strategies, dynamic support/resistance, and as inputs to MACD, Bollinger, etc.
• When not to use: In very fast scalping without tuning; or when lag is unacceptable and a faster variant (e.g. HMA, ZLEMA) is preferred.
• Future: use cases, example code.
• See also: Moving Average Indicators.

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3. Volatility & bands

FQN	Class	Description (from codebase)
org.ta4j.core.indicators	ATRIndicator	Average True Range; MMA of True Range.
org.ta4j.core.indicators.bollinger	BollingerBandsUpperIndicator	Upper Bollinger Band (middle + k × std dev).
org.ta4j.core.indicators.bollinger	BollingerBandsLowerIndicator	Lower Bollinger Band (middle − k × std dev).
org.ta4j.core.indicators.bollinger	BollingerBandsMiddleIndicator	Middle line (e.g. SMA of close).
org.ta4j.core.indicators.bollinger	BollingerBandWidthIndicator	Band width (upper − lower) or normalized.
org.ta4j.core.indicators.bollinger	PercentBIndicator	%B: where price is within the bands (0–1 scale).
org.ta4j.core.indicators.keltner	KeltnerChannelMiddleIndicator	Keltner middle (e.g. EMA).
org.ta4j.core.indicators.keltner	KeltnerChannelUpperIndicator	Keltner upper band (middle + multiplier × ATR).
org.ta4j.core.indicators.keltner	KeltnerChannelLowerIndicator	Keltner lower band.
org.ta4j.core.indicators.donchian	DonchianChannelUpperIndicator	Highest high over the period.
org.ta4j.core.indicators.donchian	DonchianChannelLowerIndicator	Lowest low over the period.
org.ta4j.core.indicators.donchian	DonchianChannelMiddleIndicator	Midpoint of Donchian channel.
org.ta4j.core.indicators	ChandelierExitLongIndicator	Chandelier Exit (long): highest high minus ATR-based offset.
org.ta4j.core.indicators	ChandelierExitShortIndicator	Chandelier Exit (short): lowest low plus ATR-based offset.
org.ta4j.core.indicators	ChopIndicator	Choppiness Index (0–100); measures trend vs range.
org.ta4j.core.indicators	UlcerIndexIndicator	Ulcer Index; depth and duration of drawdowns.
org.ta4j.core.indicators	SqueezeProIndicator	Squeeze Pro; momentum in low volatility (e.g. Bollinger vs Keltner).

Short usage

• What it is: ATR measures volatility; Bollinger/Keltner/Donchian define channels; Chandelier/Chop/Ulcer/SqueezePro add exit or regime context.
• Theory: Volatility expands in trends and contracts in consolidation; bands and ATR-based stops adapt to current volatility.
• When to use: Stops (ATR, Chandelier), breakout/mean-reversion (bands, %B), and filtering (Chop, SqueezePro).
• When not to use: When volatility input (e.g. ATR) is not yet stable (respect unstable bars).
• Future: use cases, example code.

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4. Momentum & oscillators

FQN	Class	Description (from codebase)
org.ta4j.core.indicators	RSIIndicator	Relative Strength Index; Welles Wilder formula (gain/loss smoothing).
org.ta4j.core.indicators	StochasticRSIIndicator	Stochastic of RSI: (RSI − min RSI) / (max RSI − min RSI) over period.
org.ta4j.core.indicators	StochasticIndicator	Stochastic oscillator (K and D style).
org.ta4j.core.indicators	StochasticOscillatorKIndicator	Stochastic %K.
org.ta4j.core.indicators	StochasticOscillatorDIndicator	Stochastic %D (smoothed %K).
org.ta4j.core.indicators	MACDIndicator	MACD (APO): short EMA − long EMA.
org.ta4j.core.indicators	MACDVIndicator	MACD with volume weighting.
org.ta4j.core.indicators	PPOIndicator	Percentage Price Oscillator (MACD as % of longer EMA).
org.ta4j.core.indicators	ROCIndicator	Rate of change (price change over period).
org.ta4j.core.indicators	CMOIndicator	Chande Momentum Oscillator.
org.ta4j.core.indicators	NetMomentumIndicator	Net momentum (e.g. gains minus losses over period).
org.ta4j.core.indicators	WilliamsRIndicator	Williams %R (overbought/oversold oscillator).
org.ta4j.core.indicators	CCIIndicator	Commodity Channel Index.
org.ta4j.core.indicators	KRIIndicator	Klinger Volume Oscillator (simplified or full).
org.ta4j.core.indicators	AwesomeOscillatorIndicator	Awesome Oscillator (median price, 5 vs 34 period).
org.ta4j.core.indicators	AccelerationDecelerationIndicator	AC: acceleration/deceleration of momentum.
org.ta4j.core.indicators	TrueStrengthIndexIndicator	TSI: double-smoothed momentum.
org.ta4j.core.indicators	SchaffTrendCycleIndicator	Schaff Trend Cycle; MACD + stochastic-style normalization.
org.ta4j.core.indicators	ConnorsRSIIndicator	Connors RSI (streak + RSI components).
org.ta4j.core.indicators	FisherIndicator	Fisher transform (normalizes price to Gaussian-like).
org.ta4j.core.indicators	RAVIIndicator	Range Action Verification Index; optional absolute value.
org.ta4j.core.indicators	IntraDayMomentumIndexIndicator	Intraday momentum index.
org.ta4j.core.indicators	CoppockCurveIndicator	Coppock Curve (long-term momentum).
org.ta4j.core.indicators	KSTIndicator	Know Sure Thing (weighted ROC sum).
org.ta4j.core.indicators	DPOIndicator	Detrended Price Oscillator.
org.ta4j.core.indicators	DistanceFromMAIndicator	Distance of price from a moving average.
org.ta4j.core.indicators	KalmanFilterIndicator	Kalman filter on price (smoothing/estimation).
org.ta4j.core.indicators	RWIHighIndicator	RWI high (range expansion).
org.ta4j.core.indicators	RWILowIndicator	RWI low.
org.ta4j.core.indicators	MassIndexIndicator	Mass Index (range expansion for reversals).
org.ta4j.core.indicators	ParabolicSarIndicator	Parabolic SAR (trailing stop / trend).

Short usage

• What it is: Oscillators and momentum measures (RSI, Stochastic, MACD, ROC, CCI, etc.) from price and optionally volume.
• Theory: Momentum leads or confirms price; overbought/oversold and divergence often used for reversals or filters.
• When to use: Entry/exit signals, divergence, trend confirmation, and blending with trend/volume (e.g. NetMomentum + MACD).
• When not to use: In strong trends without trend filter; or when period is too short (noisy).
• Future: use cases, example code.

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5. Trend (ADX, Aroon, Ichimoku, SuperTrend, etc.)

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.adx	ADXIndicator	Average Directional Index; strength of trend.
org.ta4j.core.indicators.adx	DXIndicator	Directional Movement index (raw).
org.ta4j.core.indicators.adx	PlusDIIndicator	+DI (plus directional indicator).
org.ta4j.core.indicators.adx	MinusDIIndicator	−DI.
org.ta4j.core.indicators.adx	PlusDMIndicator	+DM (plus directional movement).
org.ta4j.core.indicators.adx	MinusDMIndicator	−DM.
org.ta4j.core.indicators.aroon	AroonUpIndicator	Aroon Up (periods since highest high).
org.ta4j.core.indicators.aroon	AroonDownIndicator	Aroon Down (periods since lowest low).
org.ta4j.core.indicators.aroon	AroonOscillatorIndicator	Aroon Up − Aroon Down.
org.ta4j.core.indicators.ichimoku	IchimokuTenkanSenIndicator	Tenkan-sen (conversion line).
org.ta4j.core.indicators.ichimoku	IchimokuKijunSenIndicator	Kijun-sen (base line).
org.ta4j.core.indicators.ichimoku	IchimokuSenkouSpanAIndicator	Senkou Span A (leading span A).
org.ta4j.core.indicators.ichimoku	IchimokuSenkouSpanBIndicator	Senkou Span B (leading span B).
org.ta4j.core.indicators.ichimoku	IchimokuChikouSpanIndicator	Chikou Span (lagging span).
org.ta4j.core.indicators.ichimoku	IchimokuLineIndicator	Generic Ichimoku line (configurable).
org.ta4j.core.indicators.supertrend	SuperTrendIndicator	SuperTrend: ATR-based dynamic support/resistance; flips between upper/lower band.
org.ta4j.core.indicators.supertrend	SuperTrendUpperBandIndicator	SuperTrend upper band.
org.ta4j.core.indicators.supertrend	SuperTrendLowerBandIndicator	SuperTrend lower band.
org.ta4j.core.indicators.trend	UpTrendIndicator	Boolean: price in uptrend (e.g. above MA).
org.ta4j.core.indicators.trend	DownTrendIndicator	Boolean: price in downtrend.

Short usage

• What it is: ADX/DI measure trend strength and direction; Aroon and Ichimoku add structure; SuperTrend gives a single trend line.
• Theory: Trend strength (ADX) filters choppy markets; Ichimoku and SuperTrend provide levels and direction.
• When to use: Filtering entries (e.g. only when ADX > 25), trend-following exits (SuperTrend), and multi-timeframe structure (Ichimoku).
• When not to use: In ranging markets (ADX low) for trend-only strategies; SuperTrend can whipsaw in chop.
• Future: use cases, example code.

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6. Volume

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.volume	OnBalanceVolumeIndicator	OBV: cumulative volume signed by close direction.
org.ta4j.core.indicators.volume	AccumulationDistributionIndicator	A/D: cumulative volume weighted by CLV.
org.ta4j.core.indicators.volume	ChaikinMoneyFlowIndicator	CMF: volume-weighted money flow over period.
org.ta4j.core.indicators.volume	ChaikinOscillatorIndicator	Chaikin Oscillator (A/D short − long EMA).
org.ta4j.core.indicators.volume	MoneyFlowIndexIndicator	MFI: volume-weighted RSI-style oscillator.
org.ta4j.core.indicators.volume	VWAPIndicator	Volume-weighted average price (from open).
org.ta4j.core.indicators.volume	MVWAPIndicator	Moving VWAP (VWAP over a rolling window).
org.ta4j.core.indicators.volume	NVIIndicator	Negative Volume Index.
org.ta4j.core.indicators.volume	PVIIndicator	Positive Volume Index.
org.ta4j.core.indicators.volume	IIIIndicator	Intraday Intensity Index.
org.ta4j.core.indicators.volume	ROCVIndicator	Rate of change of volume.
org.ta4j.core.indicators.volume	RelativeVolumeStandardDeviationIndicator	Volume relative to average (e.g. in standard deviations).
org.ta4j.core.indicators.volume	TimeSegmentedVolumeIndicator	Volume segmented by time (e.g. intraday buckets).
org.ta4j.core.indicators	PVOIndicator	Percentage Volume Oscillator (short − long volume MA).

Short usage

• What it is: Volume-based indicators: OBV, A/D, Chaikin, MFI, VWAP, PVI/NVI, III, ROCV, relative volume, PVO.
• Theory: Volume confirms price moves; accumulation/distribution and VWAP help assess institutional flow and fair value.
• When to use: Confirming breakouts, divergence with price, and VWAP as reference for execution.
• When not to use: When volume data is missing or unreliable (e.g. some instruments or bars).
• Future: use cases, example code.

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7. Candlestick & pattern

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.candles	DojiIndicator	True when bar is doji (open ≈ close).
org.ta4j.core.indicators.candles	RealBodyIndicator	Size of real body (	close − open	).
org.ta4j.core.indicators.candles	UpperShadowIndicator	Upper shadow (high − max(open, close)).
org.ta4j.core.indicators.candles	LowerShadowIndicator	Lower shadow (min(open, close) − low).
org.ta4j.core.indicators.candles	HammerIndicator	Hammer pattern (long lower shadow, small body).
org.ta4j.core.indicators.candles	HangingManIndicator	Hanging Man (hammer-like at top).
org.ta4j.core.indicators.candles	InvertedHammerIndicator	Inverted hammer.
org.ta4j.core.indicators.candles	ShootingStarIndicator	Shooting star.
org.ta4j.core.indicators.candles	BullishEngulfingIndicator	Bullish engulfing (current body engulfs previous).
org.ta4j.core.indicators.candles	BearishEngulfingIndicator	Bearish engulfing.
org.ta4j.core.indicators.candles	BullishHaramiIndicator	Bullish harami.
org.ta4j.core.indicators.candles	BearishHaramiIndicator	Bearish harami.
org.ta4j.core.indicators.candles	BullishMarubozuIndicator	Bullish marubozu (full body, no/small shadows).
org.ta4j.core.indicators.candles	BearishMarubozuIndicator	Bearish marubozu.
org.ta4j.core.indicators.candles	MorningStarIndicator	Morning star (three-candle reversal).
org.ta4j.core.indicators.candles	EveningStarIndicator	Evening star.
org.ta4j.core.indicators.candles	DarkCloudIndicator	Dark cloud cover.
org.ta4j.core.indicators.candles	PiercingIndicator	Piercing line.
org.ta4j.core.indicators.candles	BullishKickerIndicator	Bullish kicker (gap + opposite body).
org.ta4j.core.indicators.candles	BearishKickerIndicator	Bearish kicker.
org.ta4j.core.indicators.candles	ThreeWhiteSoldiersIndicator	Three white soldiers.
org.ta4j.core.indicators.candles	ThreeBlackCrowsIndicator	Three black crows.
org.ta4j.core.indicators.candles	ThreeInsideUpIndicator	Three inside up.
org.ta4j.core.indicators.candles	ThreeInsideDownIndicator	Three inside down.

Short usage

• What it is: Single- or multi-candle pattern detectors returning boolean (or equivalent) at each bar.
• Theory: Price action patterns (engulfing, harami, stars, etc.) are used for reversal or continuation signals.
• When to use: As entry/exit conditions or filters combined with trend/volume.
• When not to use: Alone in low-liquidity or highly noisy data; combine with other confirmation.
• Future: use cases, example code.

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8. Support / resistance & pivots

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.supportresistance	TrendLineSupportIndicator	Support level from trend line (e.g. swing lows).
org.ta4j.core.indicators.supportresistance	TrendLineResistanceIndicator	Resistance level from trend line.
org.ta4j.core.indicators.pivotpoints	PivotPointIndicator	Standard pivot point (and optionally R1/R2/S1/S2).
org.ta4j.core.indicators.pivotpoints	DeMarkPivotPointIndicator	DeMark pivot points.
org.ta4j.core.indicators.pivotpoints	StandardReversalIndicator	Reversal level from standard pivots.
org.ta4j.core.indicators.pivotpoints	DeMarkReversalIndicator	DeMark reversal levels.
org.ta4j.core.indicators.pivotpoints	FibonacciReversalIndicator	Fibonacci-based reversal levels from pivots.
org.ta4j.core.indicators	SwingPointMarkerIndicator	Marks swing high/low points (e.g. for trend lines).

Short usage

• What it is: Trend-line-based support/resistance and pivot-based (standard, DeMark, Fibonacci) levels.
• Theory: Pivots and trend lines define key levels for intraday or swing trading.
• When to use: Day/session pivots, break/retest strategies, and trend-line bounces.
• When not to use: When bar series is not aligned to session (e.g. session-based pivots on non-session data).
• Future: use cases, example code.
• See also: Trendlines & Swing Points.

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9. Swing & zigzag

FQN	Class	Description (from codebase)
org.ta4j.core.indicators	RecentSwingHighIndicator	Price of the most recent confirmed swing high.
org.ta4j.core.indicators	RecentSwingLowIndicator	Price of the most recent confirmed swing low.
org.ta4j.core.indicators	RecentSwingIndicator	Generic recent swing (e.g. value at last swing).
org.ta4j.core.indicators	RecentFractalSwingHighIndicator	Most recent fractal swing high (Bill Williams style).
org.ta4j.core.indicators	RecentFractalSwingLowIndicator	Most recent fractal swing low.
org.ta4j.core.indicators.zigzag	ZigZagPivotHighIndicator	True at ZigZag pivot high bars.
org.ta4j.core.indicators.zigzag	ZigZagPivotLowIndicator	True at ZigZag pivot low bars.
org.ta4j.core.indicators.zigzag	ZigZagStateIndicator	ZigZag state (e.g. current segment direction and levels).
org.ta4j.core.indicators.zigzag	RecentZigZagSwingHighIndicator	Most recent ZigZag swing high price.
org.ta4j.core.indicators.zigzag	RecentZigZagSwingLowIndicator	Most recent ZigZag swing low price.

Short usage

• What it is: Swing high/low and ZigZag pivots; “recent” variants expose the last confirmed swing level.
• Theory: Swing points define structure; ZigZag filters small moves and highlights significant reversals.
• When to use: Trend lines, invalidation levels, and structure for Elliott or other pattern logic.
• When not to use: When look-back or threshold is too small (noisy pivots).
• Future: use cases, example code.

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10. Elliott Wave

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.elliott	ElliottSwingIndicator	List of Elliott swings (structure) at each index.
org.ta4j.core.indicators.elliott	ElliottWaveCountIndicator	Elliott wave count (e.g. current wave number).
org.ta4j.core.indicators.elliott	ElliottChannelIndicator	Elliott channel (e.g. trend channel for wave).
org.ta4j.core.indicators.elliott	ElliottRatioIndicator	Elliott ratio (e.g. Fibonacci ratios between waves).
org.ta4j.core.indicators.elliott	ElliottProjectionIndicator	Projected level (e.g. target from wave structure).
org.ta4j.core.indicators.elliott	ElliottInvalidationLevelIndicator	Price level that invalidates current count.
org.ta4j.core.indicators.elliott	ElliottInvalidationIndicator	Boolean: current count invalidated.
org.ta4j.core.indicators.elliott	ElliottPhaseIndicator	Current Elliott phase (e.g. impulse/corrective).
org.ta4j.core.indicators.elliott	ElliottScenarioIndicator	Set of possible Elliott scenarios at index.
org.ta4j.core.indicators.elliott	ElliottConfluenceIndicator	Confluence score (e.g. agreement across scenarios).
org.ta4j.core.indicators.elliott	ElliottTrendBiasIndicator	Aggregate directional bias across Elliott wave scenarios (bullish/bearish/neutral).
org.ta4j.core.indicators.elliott	ElliottWaveAnalyzer	Orchestrates Elliott Wave analysis with pluggable swing detectors and confidence profiles; returns ElliottAnalysisResult.
org.ta4j.core.indicators.elliott	ElliottScenarioSet	Immutable container of ranked alternative Elliott scenarios (base case + alternatives).
org.ta4j.core.indicators.elliott	PatternSet	Configures which Elliott scenario pattern types are enabled (impulse, corrective zigzag, etc.).

10.1. Elliott swing detection (org.ta4j.core.indicators.elliott.swing)

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.elliott.swing	SwingDetector	Interface: detects swing pivots and constructs swing sequences for a bar index.
org.ta4j.core.indicators.elliott.swing	SwingDetectorResult	Record: detected pivots and derived swings for a given index.
org.ta4j.core.indicators.elliott.swing	SwingDetectors	Factory helpers for fractal, adaptive ZigZag, and composite swing detectors.
org.ta4j.core.indicators.elliott.swing	FractalSwingDetector	Swing detector backed by fractal swing high/low (fixed lookback/lookforward window).
org.ta4j.core.indicators.elliott.swing	ZigZagSwingDetector	Swing detector backed by ZigZag state (reversal threshold or ATR-based).
org.ta4j.core.indicators.elliott.swing	AdaptiveZigZagSwingDetector	ZigZag swing detector that adapts reversal threshold to volatility (ATR-based).
org.ta4j.core.indicators.elliott.swing	AdaptiveZigZagConfig	Record: ATR period, multiplier, min/max threshold, smoothing for adaptive ZigZag.
org.ta4j.core.indicators.elliott.swing	CompositeSwingDetector	Combines multiple swing detectors with AND/OR pivot agreement policy.
org.ta4j.core.indicators.elliott.swing	MinMagnitudeSwingFilter	SwingFilter that drops swings below a relative magnitude of the largest swing.
org.ta4j.core.indicators.elliott.swing	SwingFilter	Interface: post-processes swing lists (e.g. remove noise, apply constraints).
org.ta4j.core.indicators.elliott.swing	SwingPivot	Record: confirmed swing pivot (index, price, type high/low).
org.ta4j.core.indicators.elliott.swing	SwingPivotType	Enum: pivot classification (high/low).
org.ta4j.core.indicators.elliott.swing	SwingDetectorSupport	Helper for building ElliottSwing lists from detector results.

10.2. Elliott confidence (org.ta4j.core.indicators.elliott.confidence)

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.elliott.confidence	ConfidenceModel	Interface: supplies confidence profile for a scenario.
org.ta4j.core.indicators.elliott.confidence	ConfidenceProfile	Weights and factors for confidence scoring (Fibonacci, time, alternation, channel, completeness).
org.ta4j.core.indicators.elliott.confidence	ConfidenceProfiles	Default and scenario-type–aware confidence models.
org.ta4j.core.indicators.elliott.confidence	ElliottConfidenceBreakdown	Per-scenario confidence breakdown (factor scores and category).
org.ta4j.core.indicators.elliott.confidence	ConfidenceFactor	Interface: single confidence factor (e.g. Fibonacci, channel).
org.ta4j.core.indicators.elliott.confidence	ChannelAdherenceFactor	Scores how well price adheres to projected channel.
org.ta4j.core.indicators.elliott.confidence	FibonacciRelationshipFactor	Scores Fibonacci proximity of swing ratios.
org.ta4j.core.indicators.elliott.confidence	ScenarioTypeConfidenceModel	Confidence model that selects profiles by ScenarioType.
org.ta4j.core.indicators.elliott.confidence	StructureCompletenessFactor	Scores wave structure completeness.
org.ta4j.core.indicators.elliott.confidence	TimeAlternationFactor	Scores wave 2/4 alternation with time diagnostics.
org.ta4j.core.indicators.elliott.confidence	TimeProportionFactor	Scores time proportion conformance.

Short usage

• What it is: Elliott Wave structure (swings, count, channel, ratios, projection, invalidation, phase, scenarios, confluence); trend bias across scenarios; pluggable analyzer with swing detectors and confidence profiles.
• Theory: Elliott Wave Theory models market structure in impulsive and corrective waves with Fibonacci relationships.
• When to use: When applying Elliott-based rules or targets; use confluence, invalidation, and trend bias for robustness; use ElliottWaveAnalyzer for one-shot analysis with custom detectors.
• When not to use: When wave rules or degree are not clearly defined; interpretation is subjective.
• Future: use cases, example code.
• See also: Elliott Wave Indicators.

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11. Statistics & numeric

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.statistics	StandardDeviationIndicator	Standard deviation of source over period.
org.ta4j.core.indicators.statistics	VarianceIndicator	Variance of source over period.
org.ta4j.core.indicators.statistics	MeanDeviationIndicator	Mean absolute deviation.
org.ta4j.core.indicators.statistics	CovarianceIndicator	Covariance between two indicators.
org.ta4j.core.indicators.statistics	CorrelationCoefficientIndicator	Correlation between two series.
org.ta4j.core.indicators.statistics	PearsonCorrelationIndicator	Pearson correlation.
org.ta4j.core.indicators.statistics	SimpleLinearRegressionIndicator	Moving simple linear regression (slope/intercept).
org.ta4j.core.indicators.statistics	StandardErrorIndicator	Standard error of regression (or estimate).
org.ta4j.core.indicators.statistics	SigmaIndicator	Z-score (value in standard deviations from mean).
org.ta4j.core.indicators.statistics	PeriodicalGrowthRateIndicator	Period-over-period growth rate (e.g. annualized).
org.ta4j.core.indicators.numeric	BinaryOperationIndicator	Binary operation (add, subtract, multiply, divide, min, max) on two indicators.
org.ta4j.core.indicators.numeric	UnaryOperationIndicator	Unary operation (negate, abs, log, etc.) on one indicator.
org.ta4j.core.indicators.numeric	NumericIndicator	Wraps a numeric expression (e.g. from indicator arithmetic) as an indicator.

Short usage

• What it is: Variance, std dev, correlation, regression, z-score, growth rate; numeric combinators (binary/unary).
• Theory: Statistics describe distribution and relationship between series; operations allow custom formulas.
• When to use: Volatility (std dev), normalization (z-score), and composing indicators (Binary/Unary).
• When not to use: When period is too short for stable statistics.
• Future: use cases, example code.

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12. Renko

FQN	Class	Description (from codebase)
org.ta4j.core.indicators.renko	RenkoUpIndicator	Renko “up” brick signal or value.
org.ta4j.core.indicators.renko	RenkoDownIndicator	Renko “down” brick.
org.ta4j.core.indicators.renko	RenkoXIndicator	Renko brick size or generic Renko value.

Short usage

• What it is: Renko-based indicators for brick direction or size (used with Renko bar series).
• Theory: Renko filters noise by fixed price move; indicators align with brick logic.
• When to use: Trend and breakout on Renko charts.
• When not to use: When bars are not Renko or brick size is inconsistent.
• Future: use cases, example code.

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13. Analysis (PnL, returns, cash flow)

FQN	Class	Description (from codebase)
org.ta4j.core.analysis	PerformanceIndicator	Interface for performance indicators derived from trading records (equity curve, open-position handling).
org.ta4j.core.analysis	CashFlow	Cash flow series from a strategy over the bar series (implements Indicator<Num>).
org.ta4j.core.analysis	Returns	Returns (e.g. per-bar or compounded) from a strategy; implements Indicator<Num>.
org.ta4j.core.analysis	CumulativePnL	Cumulative P&L over the bar series for given position(s); implements Indicator<Num>.
org.ta4j.core.analysis	InvestedInterval	Boolean indicator: true when invested (position open) at the bar.

Short usage

• What it is: Strategy result series (cash flow, returns, cumulative PnL) and invested flag.
• Theory: Used for performance attribution, equity curve, and “only when invested” analytics.
• When to use: Backtest analysis, reporting, and conditioning other logic on being in the market.
• When not to use: As entry/exit signals (they reflect past trades).
• Future: use cases, example code.

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14. Charting (ta4j-examples)

FQN	Class	Description (from codebase)
ta4jexamples.charting.annotation	BarSeriesLabelIndicator	Sparse bar-index labels for chart annotations; getValue returns label Y (e.g. price) at labeled indices and NaN elsewhere; labels() for text.
ta4jexamples.charting	ChannelBoundaryIndicator	Wraps a channel (e.g. PriceChannel); extracts upper, lower, or median boundary for chart overlay; forwards Num when source is already Num.

Short usage

• What it is: Charting helpers: annotation labels and channel-boundary extraction for display.
• Theory: Presentation only; no trading logic.
• When to use: Plotting labels and channel lines in ta4j-examples charting.
• When not to use: In core strategy logic (they live in examples).
• Future: use cases, example code.
• See also: Charting.

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Summary

• ta4j-core provides 200+ indicators across helpers, averages, volatility, momentum, trend, volume, candles, pivots, swing, Elliott, statistics, renko, and analysis.
• ta4j-examples adds charting-oriented indicators (labels, channel boundary).
• All entries above use the fully qualified name and class name and a short description as in the ta4j codebase.
• Each category includes a short usage block (what it is, theory, when to use, when not to use) and room for expansion (use cases, example code).

For composition patterns and caching, see Technical Indicators. For new indicators or rules, use the ta4j-functionality-finder workflow to avoid duplication and reuse building blocks.