MetroTrader Technical Indicators

Acceleration Bands

Volatility-based bands that expand and contract around price. Created by Price Headley, they plot upper and lower bands based on a moving average adjusted by a multiplier of the high-low range. Used to identify breakouts and trend strength.

Learn more: Fidelity Learning Center

Acceleration/Deceleration (AC)

Created by Bill Williams, measures the acceleration or deceleration of market momentum. Calculated as the difference between the Awesome Oscillator and its 5-period SMA. Signals changes in momentum before price moves.

Learn more: Investopedia

Accumulation Swing Index (ASI)

Developed by J. Welles Wilder Jr., this is a momentum oscillator calculated as a running total of Swing Index values. Uses open, high, low, and close prices to identify trend strength and potential breakout points.

Learn more: Investopedia

Accumulation/Distribution (A/D)

A volume-based indicator that measures cumulative money flow into and out of a security. Uses the relationship between close price and the high-low range, multiplied by volume, to determine buying vs. selling pressure.

Learn more: Investopedia

Aroon Indicator

Developed by Tushar Chande in 1995, Aroon determines whether a stock is trending and how strong the trend is. "Aroon" means "Dawn's Early Light" in Sanskrit. It measures time since the highest high and lowest low within a period.

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Aroon Oscillator

The Aroon Oscillator is the difference between Aroon-Up and Aroon-Down. Values range from -100 to +100, where positive values indicate bullish bias and negative values indicate bearish bias.

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Average Directional Movement (ADX)

ADX shows the strength of a current trend, not its direction. Readings below 20 indicate weak trend, above 50 indicates strong trend. Created by J. Welles Wilder. Ranges from 0 to 100.

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Average True Range (ATR)

The ATR is a Welles Wilder style moving average of the True Range. It measures volatility. High ATR values indicate high volatility, and low values indicate low volatility, often seen when price is flat.

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Awesome Oscillator (AO)

Created by Bill Williams, measures market momentum. Calculates the difference between a 34-period and 5-period Simple Moving Averages using bar midpoints rather than closing prices. Displayed as a histogram.

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Bollinger Bands

Created by John Bollinger in the 1980s. Three lines: middle band is a moving average (usually 20-period SMA), upper and lower bands are standard deviations above and below. Bands widen/narrow with volatility changes.

Learn more: Investopedia

Center of Gravity Oscillator (COG)

Developed by John Ehlers (2002), this leading indicator has near-zero lag for predicting turning points. Uses weighted averages to calculate the "center of gravity" of price movement. Oscillates in a sine wave pattern.

Learn more: TradingView

Chaikin Oscillator

Developed by Marc Chaikin, measures the momentum of the Accumulation Distribution Line using the MACD formula. Calculated as the difference between 3-day and 10-day EMAs of the ADL. An "indicator of an indicator."

Learn more: Investopedia

Chaikin Volatility

Measures volatility by calculating the rate of change in the spread between high and low prices. Uses an EMA of the high-low range, then measures how much that value has changed over a specified period.

Learn more: StockCharts ChartSchool

Chande Momentum Oscillator (CMO)

Created by Tushar Chande, a modification of RSI. Oscillates from -100 to +100 (vs RSI's 0-100) measuring speed and direction of a price trend. Overbought/oversold levels are typically +50/-50.

Learn more: Investopedia

Commodity Channel Index (CCI)

Developed by Donald Lambert. Shows the difference between current price and historical average. Positive values mean price is above historic average. Typically uses ±100 as overbought/oversold thresholds.

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Commodity Selection Index (CSI)

Developed by Welles Wilder, this momentum indicator identifies commodities suitable for short-term trading. Multiplies ADXR and ATR by a constant incorporating margin requirements and commission costs. Higher values indicate stronger trend and volatility characteristics.

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Day Open Close

A simple overlay indicator that displays horizontal lines marking the opening and closing prices of the current trading day. Useful for intraday traders to visualize the session's starting point and identify potential support/resistance levels.

Learn more: TradingView

DeMarker (DeM)

Developed by Tom DeMark, measures demand by comparing period highs and lows with previous periods. Oscillates between 0 and 1. Values above 0.7 suggest overbought conditions; below 0.3 indicates oversold. Focuses on intra-period highs/lows rather than closing prices.

Learn more: Investopedia

Detrended Price Oscillator (DPO)

Removes long-term trend from price to identify short-term cycles. Unlike other oscillators, DPO is displaced to the past (offset left) to align with cycle peaks and troughs. Not a momentum indicator; used to estimate cycle length by counting periods between peaks/troughs.

Learn more: Investopedia

Directional Movement Index (DMI)

Created by J. Welles Wilder Jr., comprises three lines: +DI (positive directional indicator measuring upward movement), -DI (negative directional indicator measuring downward movement), and ADX (trend strength). +DI above -DI suggests bullish conditions; vice versa for bearish.

Learn more: Investopedia

Donchian Channel

Created by Richard Donchian ("Father of Trend Following") in the 1950s. Three bands: upper band shows highest high, lower band shows lowest low, middle band is the average of both over n periods. Used for breakout trading and trend identification. Default period is 20.

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Double Exponential Moving Average (DEMA)

Developed by Patrick Mulloy (1994), reduces lag of traditional EMAs by using the difference between single and double-smoothed EMAs. More responsive to price changes than standard EMA. Formula: DEMA = 2×EMA - EMA(EMA). Crossovers occur earlier than standard EMA signals.

Learn more: Investopedia

Dynamic Momentum Index

Created by Tushar Chande and Stanley Kroll, similar to RSI but with variable lookback period (3-30) that adjusts based on volatility. More responsive in volatile markets (shorter period) and smoother in quiet markets (longer period). Overbought above 70, oversold below 30.

Learn more: Investopedia

Elder Force Index

Developed by Dr. Alexander Elder, combines price change and volume to measure buying/selling pressure. Formula: (Current Close - Prior Close) × Volume. Positive values indicate bullish momentum; negative values indicate bearish pressure. Often smoothed with 13-period EMA.

Learn more: Investopedia

Elder Ray

Created by Dr. Alexander Elder, measures strength of bulls and bears. Bull Power = High - EMA; Bear Power = Low - EMA. When overall trend is up (EMA rising) and Bear Power is negative but increasing, it signals buying opportunity. Helps identify the balance between buyers and sellers.

Learn more: Investopedia

EMA Clouds

Visualizes trend strength by shading the area between two Exponential Moving Averages (typically short-term and long-term, such as EMA-20 and EMA-50). Color changes indicate trend shifts. Cloud width shows trend strength—wider clouds suggest stronger trends.

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Exponential Moving Average (EMA)

A moving average that gives more weight to recent prices, making it more responsive to new information than a Simple Moving Average. The weighting decreases exponentially. Commonly used periods include 12, 26, 50, and 200. Often used to identify trend direction and support/resistance.

Learn more: Investopedia

Fast Stochastic

Developed by George Lane in the 1950s, measures price momentum by comparing closing price to the high-low range over a period. %K shows current position (0-100); %D is a 3-day SMA of %K. Above 80 is overbought; below 20 is oversold. More volatile than Slow Stochastic.

Learn more: Investopedia

Fibonacci Bollinger Bands

Combines Bollinger Bands with Fibonacci ratios. Uses ATR multiplied by Fibonacci levels (1.618, 2.618, 4.236) instead of standard deviation to set band widths. Creates three upper and three lower bands from the middle SMA, providing multiple support/resistance levels.

Learn more: TradingView

Force Index

Created by Alexander Elder, measures the power behind price movements using price change and volume. Formula: (Current Close - Previous Close) × Volume. High positive values indicate strong uptrend; low values indicate strong downtrend. Usually smoothed with EMA.

Learn more: Investopedia

Forecast Oscillator

Developed by Tushar Chande, plots the percentage difference between closing price and the n-period linear regression forecasted price. Above zero when forecast exceeds close (bullish); below zero when forecast is below close (bearish). Used to identify trend strength and potential reversals.

Learn more: Fidelity Learning Center

Full Stochastic

An enhanced version of the Stochastic oscillator with three customizable parameters: %K period, %K smoothing, and %D smoothing. Provides more flexibility than Fast or Slow Stochastic. Measures momentum by comparing closing price to price range. Values above 80 indicate overbought; below 20 oversold.

Learn more: Investopedia

Gator Oscillator

Developed by Bill Williams as a supplement to the Alligator indicator. Displays two histograms showing convergence/divergence of the Alligator's balance lines. Upper histogram shows difference between Jaw and Teeth; lower shows Teeth minus Lips. Color-coded bars indicate trend strength phases: awakening, eating, sated, sleeping.

Learn more: Investopedia

H-L Volatility

High-Low Volatility measures price volatility using the difference between high and low prices over a specified period. Calculates the average or standard deviation of the daily trading range. Higher values indicate increased volatility; lower values suggest consolidation or reduced market activity.

Learn more: StockCharts ChartSchool

Historical Volatility

Measures the dispersion of returns for a security over a given period, typically expressed as an annualized standard deviation of logarithmic returns. Used to gauge how much an asset's price has fluctuated historically. Higher readings indicate greater price variability; often compared to implied volatility for options trading.

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Ichimoku

Developed by Goichi Hosoda in the 1930s, released publicly in 1968. Japanese name "Ichimoku Kinko Hyo" means "one glance equilibrium chart." Five components: Tenkan-sen (Conversion), Kijun-sen (Base), Senkou Span A & B (forming the Cloud/Kumo), and Chikou Span (Lagging). Provides trend direction, support/resistance, and momentum signals.

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Inertia

Developed by Donald Dorsey (1995), based on the concept that trends resist change like physical inertia. Calculated by smoothing the Relative Volatility Index (RVI) with a linear regression indicator. Scale 0-100; above 50 indicates positive inertia (uptrend), below 50 indicates negative inertia (downtrend).

Learn more: TradingView

Intraday Momentum Index (IMI)

Developed by Tushar Chande, similar to RSI but measures momentum between open and close prices within each bar rather than close-to-close changes. Combines candlestick analysis with momentum measurement. Values above 70 indicate overbought; below 30 oversold. Best suited for intraday trading.

Learn more: Investopedia

Kairi Relative Index (KRI)

A Japanese momentum oscillator measuring the percentage deviation of current price from its Simple Moving Average. Oscillates around zero; high positive values indicate overbought (price far above average), negative values indicate oversold. Less commonly used today, having been largely replaced by RSI.

Learn more: TradingView

Kaufman Adaptive Moving Average (KAMA)

Developed by Perry Kaufman (1998), an adaptive moving average that adjusts sensitivity based on market volatility and efficiency. Closely follows prices during low-noise periods; widens distance during volatile periods. Uses Efficiency Ratio to determine smoothing. Default settings: 10-period ER, 2-period fast EMA, 30-period slow EMA.

Learn more: Investopedia

Keltner Channels

Created by Chester Keltner (1960), later refined by Linda Raschke. Three bands: center line is EMA (typically 20-period), upper and lower bands are ATR multiples above/below. Similar to Bollinger Bands but uses ATR instead of standard deviation. Used for trend identification and breakout signals.

Learn more: Investopedia

Linear Regression Channel

A three-line technical indicator showing upper and lower limits of a trend. Center line is the linear regression (best-fit) line; parallel lines above and below represent standard deviation distances. Price above channel suggests overbought; below suggests oversold. Used to identify trend direction and potential reversals.

Learn more: StockCharts ChartSchool

Linear Regression Curve

Also called Linear Regression Value or End Point Moving Average. Plots the ending value of a linear regression line for each bar. Smoother than price but less laggy than traditional moving averages. Shows the statistically predicted price based on least squares regression over the lookback period.

Learn more: StockCharts ChartSchool

Linear Regression Slope

Measures the rate of change (steepness) of the linear regression line. Positive values indicate upward slope (bullish); negative values indicate downward slope (bearish). Magnitude shows trend strength. Zero crossings can signal trend changes. Often used as a momentum indicator.

Learn more: TradingView

Market Facilitation Index (MFI)

Developed by Bill Williams, measures the market's willingness to move price. Formula: (High - Low) / Volume. Displayed as color-coded histogram: Green (both MFI and volume up) = strong trend; Brown (both down) = market disinterest; Blue (MFI up, volume down) = speculative move; Pink (MFI down, volume up) = battle between bulls/bears.

Learn more: Investopedia

Mass Index

Developed by Donald Dorsey (1992), identifies potential trend reversals by measuring range expansion/contraction. Uses ratio of single to double-smoothed EMAs of the high-low range, summed over 25 periods. A "reversal bulge" occurs when index rises above 27 then falls below 26.5, signaling imminent reversal regardless of trend direction.

Learn more: Investopedia

Median Price

The Median Price indicator calculates the midpoint between the high and low prices for each period using the formula (High + Low) / 2. A moving average of the median price smooths out price fluctuations and is less affected by outliers than using closing prices alone. This indicator provides a simplified view of average price action over a given period.

Learn more: TradingView

Momentum

Momentum measures the rate of change in a security's price by comparing the current closing price to the closing price from a specified number of periods ago. The formula is: Momentum = Close(today) - Close(n periods ago). The indicator oscillates around a zero line; positive values indicate upward momentum, while negative values indicate downward momentum. Momentum helps traders identify the speed and strength of price movements.

Learn more: Fidelity Learning Center

Money Flow Index (MFI)

The Money Flow Index is a volume-weighted momentum indicator that oscillates between 0 and 100. It incorporates both price and volume data, making it essentially a volume-weighted version of RSI. The calculation uses the typical price [(High + Low + Close) / 3] multiplied by volume to determine money flow. Readings above 80 are generally considered overbought, while readings below 20 are considered oversold.

Learn more: Fidelity Learning Center

Moving Average Convergence Divergence (MACD)

MACD is a trend-following momentum indicator developed by Gerald Appel in the late 1970s. It calculates the difference between a 12-period and 26-period exponential moving average (EMA). A 9-period EMA of the MACD, called the signal line, is plotted on top of the MACD line to function as a trigger for buy and sell signals. When the MACD crosses above the signal line, it generates a bullish signal; when it crosses below, it generates a bearish signal.

Learn more: Fidelity Learning Center

Negative Volume Index (NVI)

The Negative Volume Index is a cumulative indicator developed by Paul Dysart in the 1930s that tracks price changes on days when trading volume decreases from the previous day. The theory is that 'smart money' tends to be active on quieter, low-volume days, while uninformed traders dominate on high-volume days. When the NVI is above its 255-day EMA, there is approximately a 96% probability of a bull market.

Learn more: Fidelity Learning Center

On Balance Volume (OBV)

On Balance Volume is a cumulative volume-based indicator created by Joseph Granville in 1963. OBV adds volume on up days and subtracts volume on down days. The absolute value of OBV is less important than its trend direction. Rising OBV indicates buying pressure (accumulation), while falling OBV indicates selling pressure (distribution). Divergences between OBV and price can signal potential reversals.

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Parabolic SAR

The Parabolic SAR (Stop and Reverse) is a trend-following indicator developed by J. Welles Wilder Jr. It appears as dots placed above or below price on a chart. When dots are below the price, it indicates an uptrend; when above, a downtrend. The indicator uses an acceleration factor that causes the SAR to accelerate toward price as the trend continues. The 'stop and reverse' name comes from the indicator's ability to signal when to close a position and open one in the opposite direction.

Learn more: StockCharts ChartSchool

Percent Change

Percent Change is a basic momentum calculation that expresses the price change over a specified period as a percentage. The formula is: Percent Change = [(Current Price - Price n periods ago) / Price n periods ago] × 100. This indicator provides a normalized way to compare price movements across different securities or time periods, regardless of their absolute price levels.

Learn more: Investopedia

Percent Of Resistance

Percent of Resistance measures where the current price falls within a defined support and resistance range, expressed as a percentage. The formula is: Percent of Resistance = [(Current Price - Support) / (Resistance - Support)] × 100. A reading of 0% means price is at support, 100% means price is at resistance, and 50% indicates price is midway between the two levels.

Learn more: StockCharts ChartSchool

Percentage Price Oscillator (PPO)

The Percentage Price Oscillator is a momentum indicator that shows the relationship between two moving averages expressed as a percentage. The standard formula is: PPO = [(12-day EMA - 26-day EMA) / 26-day EMA] × 100. Developed by Gerald Appel, the PPO is essentially a percentage version of MACD, which allows for easier comparison of momentum across securities with different price levels.

Learn more: StockCharts ChartSchool

Pivot Points

Pivot Points are technical analysis indicators used to determine potential support and resistance levels based on the previous period's high, low, and close prices. The central pivot point is calculated as: P = (High + Low + Close) / 3. Additional support and resistance levels are derived from this central point. Originally used by floor traders, pivot points are now widely used by day traders to identify key price levels.

Learn more: Fidelity Learning Center

Price and Volume Trend (PVT)

The Price and Volume Trend indicator is a cumulative volume-based indicator that relates volume to price change. Unlike On Balance Volume which adds or subtracts full volume, PVT uses the percentage price change to determine how much volume to add or subtract. The formula is: PVT = [(Close - Previous Close) / Previous Close] × Volume + Previous PVT.

Learn more: TradingView

Price Channel

A Price Channel consists of upper and lower bands based on the highest high and lowest low over a specified period. The upper channel line represents the highest high over n periods, while the lower channel line represents the lowest low. Price channels help identify breakouts, trends, and potential support/resistance levels. When price breaks above the upper channel, it may signal bullish momentum.

Learn more: Investopedia

Price Oscillator

The Price Oscillator measures the difference between two moving averages of price, either as an absolute value or as a percentage. The indicator is similar to MACD but offers flexibility in choosing different moving average types and periods. Positive values indicate the shorter-term moving average is above the longer-term average (bullish), while negative values indicate it is below (bearish).

Learn more: Investopedia

Rate Of Change (ROC)

The Rate of Change is a momentum oscillator that measures the percentage change in price between the current price and the price n periods ago. The formula is: ROC = [(Current Price - Price n periods ago) / Price n periods ago] × 100. The indicator oscillates around a zero line; positive values indicate prices are higher than n periods ago, while negative values indicate prices are lower.

Learn more: Fidelity Learning Center

Relative Strength Index (RSI)

The Relative Strength Index is a momentum oscillator developed by J. Welles Wilder in 1978 that measures the speed and magnitude of price changes on a scale of 0 to 100. The formula is: RSI = 100 - [100 / (1 + RS)], where RS = Average Gain / Average Loss over a specified period (typically 14 days). Readings above 70 are generally considered overbought, while readings below 30 are considered oversold.

Learn more: Fidelity Learning Center

Relative Vigor Index (RVI)

The Relative Vigor Index is a momentum oscillator developed by John Ehlers that measures the conviction of a recent price move by comparing closing prices to opening prices relative to the trading range. The core principle is that in uptrends, prices tend to close higher than they open, while in downtrends they close lower. A signal line is used alongside the RVI to generate crossover signals.

Learn more: Fidelity Learning Center

Relative Volatility Index

The Relative Volatility Index (RVI) is a technical indicator developed by Donald Dorsey in 1993 that measures the direction of volatility rather than price. It uses standard deviation instead of absolute price change in an RSI-style calculation. The RVI ranges from 0 to 100, with readings above 50 indicating upward volatility (bullish) and readings below 50 indicating downward volatility (bearish).

Learn more: TradingView

Schaff Trend Cycle (STC)

The Schaff Trend Cycle is an oscillating indicator developed by Doug Schaff in the 1990s that combines MACD with the Stochastic oscillator to identify market cycles and trends more precisely. STC applies a double-smoothed stochastic calculation to the MACD, resulting in an oscillator that moves between 0 and 100. Readings above 75 indicate overbought conditions, while readings below 25 indicate oversold conditions.

Learn more: TrendSpider

Simple Moving Average (SMA)

The Simple Moving Average is the most basic type of moving average, calculated by adding up the closing prices over a specified number of periods and dividing by the number of periods. SMAs smooth out price data to identify trends and can act as dynamic support and resistance levels. Common periods include 20-day (short-term), 50-day (intermediate), and 200-day (long-term).

Learn more: Fidelity Learning Center

Simple Moving Average Envelope

The Simple Moving Average Envelope consists of lines plotted at a fixed percentage above and below a simple moving average. The default setting is typically a 20-period SMA with envelopes set at 2-5% above and below. The upper envelope represents potential overbought conditions, while the lower envelope indicates potential oversold conditions.

Learn more: Fidelity Learning Center

Slow Stochastic

The Slow Stochastic Oscillator is a momentum indicator developed by George Lane that measures the location of the close relative to the high-low range over a set number of periods. It is a smoothed version of the Fast Stochastic, incorporating a %K slowing period (typically 3) to reduce noise and false signals. Readings above 80 indicate overbought conditions, while readings below 20 indicate oversold conditions.

Learn more: Fidelity Learning Center

Smoothed Moving Average (SMMA)

The Smoothed Moving Average is a type of moving average that combines characteristics of both Simple and Exponential Moving Averages. Unlike the SMA which gives equal weight to all periods, or the EMA which weights recent prices more heavily, the SMMA uses all available historical data with diminishing weights over time. This produces a smoother line than other moving averages.

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Smoothed Moving Average Envelope

The Smoothed Moving Average Envelope applies the envelope concept to a Smoothed Moving Average rather than a Simple Moving Average. It consists of upper and lower bands placed at a fixed percentage above and below the SMMA centerline. Because the SMMA is smoother and less reactive than other moving averages, the envelope bands provide more stable support and resistance levels with fewer false signals.

Learn more: TradingView

Smoothed Rate Of Change

The Smoothed Rate of Change applies smoothing to the standard Rate of Change indicator to reduce noise and false signals. It calculates the percentage change in price over a specified period and then applies a moving average to smooth the resulting values. This produces a less volatile oscillator that still captures momentum shifts while filtering out short-term price fluctuations.

Learn more: StockCharts ChartSchool

Spearman (Correlation Indicator)

The Spearman indicator applies Spearman's rank correlation coefficient to technical analysis, measuring the correlation between actual price changes and an ideal trend line. It oscillates between -100 and +100, where +100 suggests strong correlation with an uptrend and -100 with a downtrend. Values above +80 may indicate overbought conditions, while values below -80 suggest oversold conditions.

Learn more: TrendSpider

Standard Deviation

Standard Deviation is a statistical measure of market volatility that quantifies how widely prices are dispersed from the average price. A low standard deviation indicates prices are trading in a narrow range (low volatility), while a high standard deviation indicates prices are swinging widely (high volatility). Standard Deviation is a key component of Bollinger Bands.

Learn more: Fidelity Learning Center

Standard Deviation Channel

The Standard Deviation Channel is a technical indicator that plots a linear regression trendline with parallel channel lines placed at a specified number of standard deviations above and below it. Unlike Bollinger Bands which use a moving average as the centerline, the Standard Deviation Channel uses a linear regression line that better represents the underlying trend direction.

Learn more: Investopedia

Standard Deviation Volatility

Standard Deviation Volatility measures price volatility using standard deviation calculations, typically displayed as an oscillator. It shows how much price deviates from its mean over a specified period, helping traders identify periods of high and low volatility. Extremely low readings often precede significant price moves, while extremely high readings may signal that a volatile move is exhausting itself.

Learn more: Fidelity Learning Center

Standard Error Bands

Standard Error Bands are envelope indicators that use the standard error of a linear regression line rather than standard deviation to create upper and lower bands. The standard error measures the accuracy of the regression line's fit to the price data. Narrower bands indicate the regression line fits the data well (strong trend), while wider bands suggest more scatter around the trendline.

Learn more: Investopedia

Stochastic RSI

The Stochastic RSI (StochRSI) is a momentum indicator developed by Tushar Chande and Stanley Kroll that applies the Stochastic oscillator formula to RSI values rather than price data. The formula is: StochRSI = (RSI - Lowest RSI) / (Highest RSI - Lowest RSI). Readings above 0.80 indicate overbought conditions, while readings below 0.20 indicate oversold conditions.

Learn more: StockCharts ChartSchool

Stoller Average Range Channels (STARC Bands)

STARC Bands are a technical indicator developed by Manning Stoller in the 1980s. The indicator creates a channel around a simple moving average (SMA), with the upper and lower bands calculated by adding or subtracting the Average True Range (ATR) multiplied by a constant (typically 2). STARC Bands identify potential overbought and oversold conditions by highlighting when prices approach the outer boundaries.

Learn more: LightningChart

SuperTrend

SuperTrend is a trend-following indicator developed by Olivier Seban that uses the Average True Range (ATR) to determine trend direction. It plots a single line on the price chart that changes color based on the trend—typically green for uptrend and red for downtrend. When price closes above the SuperTrend line, the trend is considered bullish; when price closes below, the trend is bearish.

Learn more: TrendSpider

Swing Index

The Swing Index (SI) is a technical indicator developed by J. Welles Wilder Jr. that measures the strength of price movements by comparing relationships between current and previous period's open, high, low, and close prices. Values range from -100 to +100, with positive values indicating upward pressure and negative values indicating downward pressure.

Learn more: Investopedia

TD Sequential

TD Sequential is a counter-trend indicator developed by Tom DeMark designed to identify potential exhaustion points in price trends. It consists of two phases: the Setup (9 consecutive closes compared to the close 4 bars earlier) and the Countdown (13 bars where closes are compared to highs/lows from 2 bars earlier). A completed Setup suggests short-term trend exhaustion.

Learn more: TrendSpider

Time Series Forecast

The Time Series Forecast (TSF) indicator uses linear regression to project future price movements based on historical data. It calculates the least-squares regression line over a specified period and extends that line one bar into the future. Traders use it to identify trend direction and potential support/resistance levels.

Learn more: Fidelity

Triangular Moving Average

The Triangular Moving Average (TMA) is a double-smoothed moving average that places more weight on the middle portion of the data series. It is calculated by taking the simple moving average of a simple moving average, resulting in a very smooth curve that reduces noise while still following price trends.

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Triple Exponential Average (TRIX)

TRIX is a momentum oscillator developed by Jack Hutson that displays the percentage rate of change of a triple exponentially smoothed moving average. By applying exponential smoothing three times, TRIX filters out minor price fluctuations and highlights significant trends. The indicator oscillates around a zero line.

Learn more: StockCharts ChartSchool

Triple Exponential Moving Average (TEMA)

The Triple Exponential Moving Average (TEMA) is a technical indicator developed by Patrick Mulloy that aims to reduce lag inherent in traditional moving averages. TEMA combines single, double, and triple exponential moving averages using the formula: TEMA = 3×EMA - 3×EMA(EMA) + EMA(EMA(EMA)).

Learn more: Investopedia

True Strength Index

The True Strength Index (TSI) is a momentum oscillator developed by William Blau that uses double smoothing of price changes to measure trend direction and identify overbought/oversold conditions. TSI ranges between -100 and +100, with positive values indicating bullish momentum and negative values indicating bearish momentum.

Learn more: StockCharts ChartSchool

Typical Price

The Typical Price is a simple technical indicator that calculates the average price for a trading period using the formula: (High + Low + Close) / 3. This single value represents a more balanced view of price action than using just the closing price. Typical Price is often used as a building block for other indicators such as CCI and MFI.

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Ultimate Oscillator

The Ultimate Oscillator is a momentum indicator developed by Larry Williams in 1976 that combines price action across three different timeframes (typically 7, 14, and 28 periods) to reduce volatility and false signals. It produces a single oscillator reading between 0 and 100.

Learn more: StockCharts ChartSchool

Vertical Horizontal Filter

The Vertical Horizontal Filter (VHF) is a technical indicator developed by Adam White that determines whether prices are trending or in a congestion phase. Higher VHF values indicate a trending market, while lower values suggest consolidation or range-bound conditions.

Learn more: QuantifiedStrategies

Volume Weighted Average Price (VWAP)

Volume Weighted Average Price (VWAP) is an intraday technical indicator that calculates the average price a security has traded at throughout the day, weighted by volume. VWAP provides a benchmark that institutional traders use to assess execution quality.

Learn more: Investopedia

WaveTrend

WaveTrend is a momentum oscillator popularized by the anonymous trader LazyBear on TradingView. It combines elements of the Average True Range (ATR) and moving average calculations to measure market momentum and identify potential trend reversals.

Learn more: ChartAlert

WaveTrend with Crosses

WaveTrend with Crosses is an enhanced version of the WaveTrend oscillator that adds visual markers for signal line crossovers. When the WaveTrend line crosses above the signal line in oversold territory, a bullish cross marker appears; when it crosses below in overbought territory, a bearish cross marker appears.

Learn more: TradingView (LazyBear)

Weighted Close

The Weighted Close is a technical indicator that calculates an average price for a trading period while placing extra emphasis on the closing price. The formula is: (High + Low + Close + Close) / 4. By double-weighting the close, this indicator reflects the importance traders place on closing prices.

Learn more: StockCharts ChartSchool