List of available indicators
The following technical indicators are available in LightningChart JS Trader.
Envelopes
Bollinger Band
Bollinger Band calculates a moving average line and then adds two more lines, one above and one below, based on a set number of standard deviation levels. Use setStandardDeviationNumber() method to set this.
Donchian Channels
Donchian Channels consist of three lines: an upper band based on the highest High values, a lower band based on the lowest Low values, and a middle band marking the midrange of the other bands. Donchian Channels are used to identify bullish and bearish extremes.
Fractal Chaos Bands
Fractal Chaos Bands (FCB) filter out insignificant price movements by plotting the high and low price fractals as a channel. FCB can be used to tell if the market is trending.
High Low Bands
High Low Bands consist of three lines: a Triangular Moving Average line, and upper and lower band lines based on specific percentage of the average line. High Low Bands can be used to identify bullish and bearish trends.
Keltner Channels
Keltner Channels consist of three lines: an Exponential Moving Average line, and volatility based channel lines above and below it. Average True Range is used for these lines. Keltner Channels are used to follow trends and notice reversals in price.
Moving Average Envelopes
Moving Average Envelopes (MAE) consist of three lines: a middle line based on selected moving average, and upper and lower band lines based on specific percentage of the average line. Moving Average Envelopes can be used to follow trends, as well as to identify overbought and oversold levels. Use setMovingAverageType() method to set the average the middle line is based on.
Prime Number Bands
Prime Number Bands find the closest prime number above and below the current price, and creates a band based on them.
Standard Error Bands
Standard Error Bands work similarly to Bollinger Bands, with the exception of using standard error instead of standard deviation
to calculate the upper and lower bands. The middle line is based on selected moving average.
Stoller Average Range Channel
Stoller Average Range Channels (STARC) are volatility-based envelopes set above and below a selected moving average. Similarly to Keltner Channels, Average True Range (ATR) is used to plot the upper and lower bands. The moving average is based on the price of the security instead of its typical price.
Moving Averages
Exponential Moving Average
Exponential Moving Average (EMA) adds a percentage of the closing price to a percentage of the moving average value of the previous day.
Hull Moving Average
Hull Moving Average (HMA) is designed to eliminate lag, making it a fast, more responsive moving average. HMA is used to identify trend reversals and entry points.
Simple Moving Average
Simple Moving Average (SMA) indicates the average of a security’s closing price over a number of time periods.
Time Series Moving Average
Time Series Moving Average (TSMA), also known as Least Squares Moving Average, is a moving average based on linear regression line.
Triangular Moving Average
Triangular Moving Average (TMA) is a double smoothed Simple Moving Average. It puts more weight to the middle section of the data.
Variable Index Dynamic Average
Variable Index Dynamic Average (VIDYA) is an Exponential Moving Average that automatically adjusts its smoothing based on the volatility of the price. VIDYA uses standard deviation to calculate the volatility, whereas other similar indicator, Variable Moving Average (VMA), uses Chande Momentum Oscillator.
Variable Moving Average
Variable Moving Average (VMA) is an Exponential Moving Average that automatically adjusts its smoothing based on the volatility of the price. VMA uses Chande Momentum Oscillator to measure the volatility, whereas other similar indicator, Variable Index Dynamic Average (VIDYA), uses standard deviation.
Volume-Weighted Moving Average
Volume Weighted Moving Average (VWMA) takes volume into account when weighting prices during moving average calculations.
Weighted Moving Average
Weighted Moving Average (WMA) places more weight on recent data values by multiplying the previous day’s data value by a weighting factor, based on the moving average of a set number of days.
Welles Wilder's Smoothing
Welles Wilder's Smoothing (WWS) indicator is a moving average that smoothens out price movements, which helps spotting bullish and bearish trends.
Oscillators - Money Flow
Accumulation/Distribution
Accumulation/Distribution indicator (A/D) shows whether a stock is being accumulated or distributed. It uses both price and volume information.
Chaikin Money Flow
Chaikin Money Flow calculates a Volume-weighted average based on Accumulation-Distribution (A/D) line.
Chaikin Oscillator
Chaikin Oscillator calculates Moving Average Convergence-Divergence (MACD) based on Accumulation-Distribution (A/D) line. It is used to detect trends and reversals.
Ease Of Movement
Ease of Movement (EOM or EMV) is a volume-based oscillator fluctuating above and below the zero line. It quantifies the relationship between the price and the volume, thus measuring the ease of price movement.
Elder's Force Index
Elder's Force Index uses price and volume information to measure the strength of a price move.
Klinger Volume Oscillator
Klinger Volume Oscillator (KVO) predicts price reversals by comparing volume with price movements. It consists of three components:
-KVO line is the difference between the selected moving average of short period data and long period data.
-Signal line is Signal period moving average of KVO.
-Histogram shows the difference between KVO and Signal.
Market Facilitation Index
Market Facilitation Index measures the willingness of the market to move the price. The index values are shown as histogram bars with various colors that indicate the relation between the index and volume. These colors are pre-defined and cannot be modified.
Money Flow Index
The Money Flow Index (MFI) uses price and volume data for identifying overbought or oversold signals. It can also be used to spot divergences which warn of a trend change in price. MFI moves between 0 and 100. Unlike many other oscillators such as the Relative Strength Index (RSI), the Money Flow Index incorporates both price and volume data.
Negative Volume Index
Negative Volume Index (NVI) tracks volume as it decreases from the previous day. Since NVI shows the actions of the majority of the traders, it is usually used as a contrarian indicator; smart money is active on quiet days and not-so-smart money on busy days.
On-Balance Volume
On-Balance Volume (OBV) has been developed to predict stock price changes by using volume changes.
Positive Volume Index
Positive Volume Index (PVI) tracks volume as it increases from the previous day. Since PVI shows the actions of the majority of the traders, it is usually used as a contrarian indicator; smart money is active on quiet days and not-so-smart money on busy days.
Price Volume Trend
Price Volume Trend (PVT) uses actual trading volumes to confirm or invalidate the strength of a price trend. PVT takes the percentual
change in price into account when calculating its value.
Trade Volume Index
Trade Volume Index (TVI) shows whether a security is being accumulated (bought) or distributed (sold). It moves distinctly when significant changes in price and volume happen simultaneously. TVI is most often used with intraday data.
Twiggs Money Flow
Twiggs Money Flow (TMF) is a variation of Chaikin Money Flow indicator. It uses True Range instead of Close value and moving averages (EMA) instead of cumulative volume. TMF can be used to evaluate money flow as bullish or bearish, and to warn of breakouts.
Volume
Volume is the number of traded securities over a certain time period. LightningChart JS Trader allows showing Volume as an overlay (in the price chart) or as a study (separate chart below the price chart). Use setShowAsOverlay() method to change this. By default, Volume is shown as an overlay.
Volume values need to be assigned to the indicator separately, as they are not calculated from the OHLC-values. You can either assign the values while adding the whole dataset, or call tradingChart.setVolumeData() to add or modify only the Volume values.
Volume Oscillator
Volume Oscillator (VO) is a momentum oscillator for Volume, that works similarly to MACD. VO can be used to confirm or refute other signals. It consist of three components:
-VO line is the difference between the selected moving average of short period data and long period data.
-Signal line is Signal period moving average of VO.
-Histogram shows the difference between VO and Signal.
Volume Rate of Change
Volume Rate of Change (VROC) indicator is similar to the regular Rate of Change, but is calculated based on Volume instead of price. It is used to measure the volatility in Volume as well as to confirm price moves.
Williams Accumulation Distribution
Williams Accumulation Distribution (WAD) measures market strength and pressures and looks for marker divergence. It helps confirm trend directions and strengths.
Williams Variable Accumulation Distribution
Williams Variable Accumulation Distribution (WVAD) calculates the relationship between the open-close range and the high-low range, which gives information about buying and selling pressures.
Oscillators - Price
Aroon Oscillator
Aroon Oscillator measures the difference between Aroon-Up and Aroon-Down indicators, which measures uptrend strength and downtrend strength respectively.
Awesome Oscillator
Awesome Oscillator (AO) provides information about the strength of the stock and possible reversals. It compares recent momentum with the momentum over a longer time frame.
Balance Of Power
Balance of Power (BOP) indicates how strongly the price moves towards higher or lower extremes by measuring the strength of buying and selling pressures.
Center Of Gravity
Center fo Gravity (COG) is designed to anticipate future price movements. Since it has no lag, it can give clear signals of turning points in the price. A Simple Moving Average can be displayed as a signal line. Use setShowSignal() method to show and hide the signal.
Chande Forecast Oscillator
Chande Forecast Oscillator (CFO) measures the difference between the closing price and the forecasted price of a n-period linear regression. The result is shown as a percentage.
Chande Momentum Oscillator
Chande Momentum Oscillator is used to identify the relative strength or weakness of the market.
Commodity Channel Index
Commodity Channel Index (CCI) is designed to spot new trends and weaknesses in them, as well as to watch overbought and oversold levels.
Coppock Curve
Coppock Curve is a price momentum indicator that is used to identify long-term buy and sell signals. Long and short Rate of Change values and Weighted Moving Average are used in the calculations.
Detrended Price Oscillator
Detrended Price Oscillator (DPO) removes trend to estimate the length of price cycles. It is used to measure the volatility of the price.
Elder-Ray Index
The Elder-Ray Index, also known as Elder-Ray Power Indicator, measures the market consensus over a period of time. It consists of two indicators: Bull Power measuring the buying pressure and Bear Power measuring the selling pressure.
Elder Thermometer Custom
This is a custom version of Elder Thermometer. It compares current High and Low values to High and Low values specific time periods ago, and creates a histogram based on the result.
Fractal Chaos Oscillator
Fractal Chaos Oscillator (FCO) measures the trendiness of the market. It ranges between 1 (trending market) and -1 (chaotic market). FCO is used more in intra-day trading.
Intraday Momentum Index
Intraday Momentum Index (IMI) is a version of Relative Strength Index (RSI), which uses the change from Open to Close instead of the change from the previous Close to the current Close.
Momentum Oscillator
The Momentum Oscillator compares the latest price to a price selected number of time periods ago. This version returns the normalized values, i.e. the ratio between the prices.
Moving Average Convergence Divergence
Moving Average Convergence Divergence indicator (MACD) is the difference between ExponentialMoving Average (EMA) of short period data, and EMA of long period data, that is: EMA(price short period) - EMA(price long period). The Signal line is signal period EMA of MACD. Histogram shows the difference between MACD and Signal (MACD - Signal).
Moving Average Convergence Divergence Custom
Moving Average Convergence Divergence indicator (MACD) shows the difference between two moving averages of different lengths. The Signal line is signal period moving average of MACD. Histogram shows the difference between MACD and Signal (MACD - Signal).
This custom MACD allows using different moving averages for all smoothings. Use setPeriodCounts() and setMovingAverageTypes() methods to configure the averages.
Percentage Price Oscillator
Percentage Price Oscillator (PPO) indicator shows the difference between Exponentially weighted Moving Average (EMA) of Short period data, and EMA of Long period data. Signal line is signal period EMA of PPO. Histogram shows the percentage difference between PPO and Signal.
Performance Index
The Performance Index, sometimes called just Performance indicator, displays how much the price has changed since the first period. The result is shown as a percentage, making it a "normalized" chart and thus useful when comparing securities.
Pretty Good Oscillator
Pretty Good Oscillator (PGO) measures the distance between the latest close value and the moving average of the price. The result is then divided by a moving average of the Average True Range. PGO is used to detect buy and sell signals.
Prime Number Oscillator
Prime Number Oscillator (PNO) finds the nearest prime number to the current price and plots the difference as an oscillator line.
QStick
The QStick indicator numerically identifies trends. It takes a moving average of the difference between the Open and Close prices.
Rainbow Oscillator
Rainbow Oscillator is a trend-following indicator based on several recursive smoothings via moving averages of the price. The indicator finds the highest and lowest values among these averages and creates an oscillator and a bandwidth based on them. Use setLookbackPeriods() and setSmoothingLevels() methods to configure smoothings.
Rate Of Change
Rate of Change indicator measures the price change between the current price and the price a certain number of periods ago. The difference is shown as a percentage.
Relative Strength Index
Relative Strength Index (RSI) compares the internal strength of a single security by calculating the average momentum over a set number of days.
Stochastic Momentum Index
Stochastic Momentum Index (SMI) is a variation of Stochastic Oscillator. It shows the distance between the current price and the midpoint of High/Low range. SMI is therefore less unpredictable compared to regular Stochastic Oscillator.
Stochastic Oscillator
Stochastic Oscillator (SO) indicator compares a closing price to a range of prices over a time period. It is used to identify overbought and oversold levels.
Stochastic Smoothed
Stochastic Oscillator (SO) indicator compares a closing price to a range of prices over a time period. It used to identify overbought and oversold levels.
The difference between Smoothed SO and regular SO is that smoothed study smoothens also the stochastic (%K) line. Different moving averages and time period counts can be used for %K and %D lines. Use setPeriodCounts() and setMovingAverageTypes() methods to configure the averages.
True Strength Index
True Strength Index (TSI) double smoothens the price changes, thus filtering out the noise. TSI can be used to identify trends and reversals as well as to to determine overbought and oversold conditions.
Ultimate Oscillator
The Ultimate Oscillator (UO) captures momentum across three different time frames, which reduces the volatility and generates fewer trade signals. Therefore, UO is often used to identify buy and sell signals.
Ultimate Oscillator Smoothed
The Ultimate Oscillator (UO) captures momentum across three different time frames, which reduces the volatility and generates fewer trade signals. Therefore, UO is often used to identify buy and sell signals. Smoothed Ultimate Oscillator differs from the regular UO by using smoothing with a moving average instead of summation during the calculations.
Williams Percent Range
Williams Percent Range, also known as Williams %R, measures overbought and oversold levels by comparing the current closing price to the high-low range over a specific time period.
Statistics
Correlation Coefficient
Correlation Coefficient measures the correlation between two securities, that is the linear relationship between the two variables. It ranges from -1 to 1, -1 meaning perfect negative correlation and 1 meaning perfect positive correlation. 0 means no linear correlation. Since Correlation Coefficient compares two datasets, you need to assign the additional set with setDataset() method.
Kurtosis
Kurtosis measures the "tailedness" of the probability distribution of the price. High Kurtosis indicates frequent price fluctuations in the past.
Median Price
Median Price is the average of the High and Low prices for a time period. It is drawn as a single overlay line.
Skewness
Skewness measures the asymmetry of the probability distribution of the price. It gives information about the extremes of the data set.
Standard Deviation
Calculates the Standard Deviation of the price by comparing the current and historical price movements. Used to measure the volatility of the price.
Standard Error
Standard Error is an approximate standard deviation of a sample population. It indicates how much the population mean is likely to differ from the sample mean.
Typical Price
Typical Price is the average of the High, Low and Close prices for a time period. It is drawn as a single overlay line.
Weighted Close
Weighted Close is the average price of each day, that puts more weight on Close price compared to High and Low. It is drawn as a single overlay line.
Trend Indicators
Accumulative Swing Index
Accumulative Swing Index (ASI) is a trend line measuring long-term trends in prices. ASI is the cumulative sum of the Swing Index. Adding ASI shows also the Swing Index in a separate segment.
Aroon
The Aroon indicator identifies trend changes in the price. It also reveals the strength of that trend. Aroon consists of two lines: Aroon Up measuring the uptrend strength and Aroon Down measuring the downtrend strength.
Average Directional Index
Average Directional Index (ADX) measures the overall strength of a trend by calculating the average of expanding price range values. Directional Movement Indicators (-DI and +DI) can be shown together with the ADX line. Use showDiLines() method to show or hide them. The indicator uses Wilder's smoothing techniques.
Choppiness Index
Choppiness Index (CHOP) measures volatility by determining whether a market is trending or ranging.
Gopalakrishnan Range Index
Gopalakrishnan Range Index (GAPO or GOPRI) measures the volatility of a stock or commodity. It uses logarithm of the price range to determine the variability of price data.
Ichimoku Cloud
Ichimoku Cloud consists of several averaging lines and a lagging closing price line. The difference between two of the lines is colored to comprise the cloud. Ichimoku Cloud is used to detect support and resistance levels. Momentum of the price and trend direction are also shown.
Linear Regression
Linear Regression plots a trendline value for each data point using least squares method. The indicator consists of four lines: slope, intercept, forecast and R squared. Of these slope and R squared are displayed in their own segments while intercept and forecast share one segment. When the main Linear Regression (R squared) is updated, the other lines are automatically updated as well. Likewise, removing the R squared line removes also all other components.
Parabolic Stop and Reverse
Parabolic Stop and Reverse (PSAR) indicator shows the current trend direction, and reveals potential price reversals. PSAR appears either above (trending down) or below (trending up) the trading data as a series of dots.
Random Walk Index
Random Walk Index (RWI) compares price movements to random movements to determine if the movement is of random nature or part of a statistically significant trend. RWI is therefore used to measure the strength of uptrends and downtrends.
Range Action Verification Index
Range Action Verification Index (RAVI) uses moving averages of different lengths to determine whether a market is trending.
Schaff trend Cycle
Schaff Trend Cycle (STC) combines Slow Stochastic (%D) and Moving Average Convergence Divergence (MACD) indicators. This creates a signal line that can be used to identify market trend as well as buy and sell signals.
Schaff trend Cycle Signal
Schaff Trend Cycle (STC) combines Slow Stochastic (%D) and Moving Average Convergence Divergence (MACD) indicators creating a signal line that can be used to identify market trend as well as buy and sell signals. This version of STC uses the MACD Signal line as basis for Stochastic calculations.
Supertrend
Supertrend is an indicator designed to follow trends and spot buy and sell signals. It is plotted on top of the price chart.
Swing Index
Swing Index (SI) detects price trends of a security. It is often used as a part of the Accumulative Swing Index.
System Quality Number Trend
SQN (System Quality Number) measures the quality of a trading system by comparing the mean and the standard deviation of the trading systems R-multiple distribution. When this SQN formula is applied to the daily price change of a stock, it measures the trendiness of the market.
Triple Exponential Average
Triple Exponential Average (TRIX) indicator is a triple exponential moving average shown as a percentage change. It is designed to filter out unimportant price changes.
Vertical Horizontal Filter
Vertical Horizontal Filter (VHF) determines the trendiness (level of trend activity) of prices in order to identify trending phases and trading ranges.
Volatility
Average Daily Range
Average Daily Range (ADR) measures volatility by calculating the average of high-low ranges over a given time range.
Average True Range
Average True Range (ATR) measures market volatility by calculating the average of true ranges over a given time range.
Chaikin Volatility
Chaikin Volatility (CV) measures security's price volatility by comparing the range between High and Low values over a set period of time.
Ehler Fisher Transform
Ehler Fisher Transform (EFT) normalizes the prices over specified time periods, thus helping identifying significant price reversals.
High Minus Low
High Minus Low indicator representing the "per period" range, in other words the difference between the High and the Low values.
Historical Volatility Index
Historical Volatility Index (HVI) is an annualized volatility level of single period returns.
Mass Index
Mass Index detects potential trend reversals in a stock's price by measuring the range between High and Low prices over a period of time.
Z-Value
Z-Value, also known as the Standard Score or Z-Score, is the number of standard deviations, by which a value is above or below the mean value of the data set.
Other
Open Interest
Open interest is the total number of outstanding derivative contracts, such as options or futures that have not been settled for an asset. The total Open Interest does not count, nor does total of every buy and sell contract. Instead, Open Interest provides a more accurate picture of the options trading activity, and whether money flows into the futures and options market are increasing or decreasing.
Open Interest values need to be assigned to the indicator separately, as they are not calculated from the OHLC-values. You can either assign the values while adding the whole dataset, or call tradingChart.setOpenInterestData() to add or modify only the Open Interest values.