Trend Indicators

Trend indicators describe the direction, strength and persistence of a price move, mostly by smoothing price into a reference line and measuring where price sits against it: the moving-average family and its crossovers, channels and ribbons, the directional-movement system, MACD and its relatives, Ichimoku, Supertrend and Parabolic SAR. They are read to confirm that a trend exists and to stay with it, not to anticipate its start.

What do Trend indicators have in common?

Every indicator in this category answers one of two questions: where is the trend, and how strong is it? The first is answered by a smoothed price, and most of the category is variations on how to smooth. The simple, exponential, weighted, triangular, double and triple exponential, Hull, Arnaud Legoux, T3, least-squares, Kaufman adaptive, MESA adaptive, variable index dynamic, McGinley, zero-lag, Wilder smoothed and volume-weighted moving averages each trade lag against smoothness differently, and the crossovers, envelopes, channels, ribbons and multiples built from them turn the reference line into a signal. The second question is answered by the directional-movement family, the choppiness index, the vertical horizontal filter, the trend intensity and trend strength indexes and the chop zone, which measure whether price is moving directionally at all.

The category divides accordingly. Smoothed references and their derivatives (the moving averages, EMA and moving-average crossovers, envelopes, channels, ribbons and multiples, Ichimoku, Supertrend, Parabolic SAR, the Chande Kroll stop, the Williams alligator, the Guppy multiple moving average) locate the trend and provide a trailing level. Momentum-of-trend oscillators (MACD, the percentage and absolute price oscillators, TRIX, the detrended price oscillator, the forecast oscillator, Qstick, the accumulative swing index, Aroon and its oscillator, the vortex indicator) measure the trend's rate of change. Strength filters (ADX and its rating, the plus and minus directional indicators, the directional movement index, the choppiness index, the vertical horizontal filter, the trend intensity and trend strength indexes, the chop zone) say whether a trend is present and worth following.

What they share is lag: a smoothed line is behind price by about half its length, so every trend indicator confirms a move after it has started and signals its end after it has ended. The adaptive averages reduce the lag in a trend and widen it in a range, which is their purpose, but no smoothing removes it. They also share the evidence base of time-series momentum, which is the academic name for the observation that a moving-average or trend rule applied across many markets has been profitable over long histories, with long stretches of whipsaw losses between the trends.

How do you choose a Trend indicator?

• Check for a trend before following one: an ADX below 20 or a choppiness index above 61 says the market is ranging, and a crossover system will whipsaw
• Pick the smoothing for the horizon, then stop tuning: a 50-day and 200-day pair for the cycle, a 10-day and 20-day pair for swings; the difference between average types matters less than the length
• Use an adaptive average (Kaufman, MESA, variable index dynamic) when the same instrument alternates between trending and ranging, since a fixed average is slow in one and noisy in the other
• For a trailing exit, use a level that moves with volatility (Supertrend, the Chande Kroll stop, Parabolic SAR) rather than a fixed-percentage envelope
• Read MACD, the percentage price oscillator and TRIX as the slope of the trend, and treat their histogram turns as early warnings rather than signals

Trend indicators at a glance

Indicator	What it measures	How it is read
Absolute Price Oscillator	The difference, in price units, between a fast and a slow moving average of price.	Positive values mean the fast average is above the slow one, which is read as upward trend momentum, and negative values the reverse.
Accumulative Swing Index	J.	A rising line indicates that swing values are mostly positive, supporting an uptrend, and a falling line the opposite.
Arnaud Legoux Moving Average	A moving average that weights recent prices with a Gaussian curve whose peak position and width can be adjusted.	Like other moving averages, price above ALMA and a rising slope are read as upward trend, and the reverse as downward.
Aroon Oscillator	The difference between Aroon Up and Aroon Down, which measure how recently the highest high and lowest low occurred within a lookback window.	Positive values mean the highest high is more recent than the lowest low, suggesting an uptrend, and negative values a downtrend.
Average Directional Index Rating	The Average Directional Movement Index Rating (ADXR) smooths the ADX by averaging the current ADX with its value n periods earlier.	Higher values mean the trend has been strong over the recent period, whatever its direction, and low values mean weak or absent trend.
Chande Kroll Stop	A volatility-based trailing stop study by Tushar Chande and Stanley Kroll.	The stop lines trail price at a distance scaled to volatility, and a close beyond a stop line is read as a potential change in trend direction.
Chop Zone	A color-coded trend-state indicator that classifies the slope of a moving average into zones, so flat or low-angle stretches are shown as choppy and steeper stretches as trending up or down.	Steep positive angles are colored as bullish zones, steep negative angles as bearish zones, and shallow angles as chop.
Detrended Price Oscillator	Removes the trend by comparing price with a displaced simple moving average, making cycle highs and lows in price easier to see.	Peaks and troughs of the oscillator are used to estimate the length of price cycles.
Directional Movement Index	J.	+DI above -DI indicates upward directional movement dominates, and the opposite shows downward dominance.
Double Exponential Moving Average	Patrick Mulloy's DEMA reduces the lag of an exponential moving average by combining a single EMA with an EMA of that EMA.	It is read like a moving average: price above a rising DEMA suggests an uptrend, and below a falling DEMA a downtrend.
EMA Crossover	A trend signal based on a fast exponential moving average crossing a slow one.	A positive spread means the fast EMA is above the slow one, an uptrend state, and a cross from negative to positive is an upward crossover.
Forecast Oscillator	Tushar Chande's Forecast Oscillator shows the percentage difference between price and its time series forecast, the value implied by extending a linear regression line fitted to recent prices.	Positive values mean price is above the regression forecast, and negative values mean price is below it.
Guppy Multiple Moving Average	Daryl Guppy's method plots two groups of exponential moving averages: a short-term group of six (3, 5, 8, 10, 12 and 15 periods) and a long-term group of six (30, 35, 40, 45, 50 and 60 periods).	When the short group sits above the long group and both fan out, the trend is read as strong and up; when the short group sits below, as down.
Hull Moving Average	Alan Hull's moving average that uses weighted averages of different lengths to cancel most of the lag while staying smooth.	Price above a rising HMA suggests an uptrend and below a falling HMA a downtrend.
Kaufman Adaptive Moving Average	Perry Kaufman's KAMA changes its speed based on the efficiency ratio of recent price movement.	In directional markets KAMA tracks price closely, and in noisy ranges it flattens.
Least Squares Moving Average	The endpoint of a least-squares regression line fitted to the last n prices, also known as the linear regression value.	Price above a rising LSMA is read as an uptrend and price below a falling LSMA as a downtrend.
McGinley Dynamic	John McGinley's adaptive smoothing line that adjusts its own speed to the market.	The line hugs price more closely than a simple moving average and is read the same way: price above a rising line for an uptrend, below a falling line for a downtrend.
MESA Adaptive Moving Average	John Ehlers' MAMA uses the rate of change of phase, measured with a Hilbert transform, to adapt its smoothing speed.	MAMA crossing above FAMA is read as an upturn and crossing below as a downturn.
Minus Directional Indicator	Wilder's -DI measures downward directional movement as a share of average true range.	A higher -DI means downward movement is a larger share of the true range.
Moving Average Channel	A channel built from moving averages of the highs and the lows (or an average plus and minus an offset).	Closes above the upper line suggest unusual strength and closes below the lower line unusual weakness.
Moving Average Crossover	A trend signal based on a faster moving average crossing a slower one, typically simple averages.	A fast average above the slow one marks an uptrend state and below it a downtrend state.
Moving Average Envelope	Two lines set a fixed percentage above and below a moving average, forming an envelope around price.	Price touching or exceeding the upper line shows price stretched above its average by the chosen percentage, and the lower line the reverse.
Moving Average Multiple	Commonly defined as the ratio of price to a long moving average, such as the 200-day average.	A multiple of 1 means price equals its average, above 1 means price is above the average and below 1 below it.
Moving Average Ribbon	A set of many moving averages of increasing length plotted on one chart.	In an uptrend the shortest average is on top and the lines fan out in order, while in a downtrend the order is reversed.
Plus Directional Indicator	Wilder's +DI measures upward directional movement as a share of average true range.	A higher +DI means upward movement is a larger share of the true range.
Qstick	Tushar Chande's Qstick is a moving average of the candle body, close minus open, over a recent window.	Positive values mean closes have mostly finished above opens, indicating buying pressure, and negative values selling pressure.
T3 Moving Average	Tim Tillson's T3 applies a generalized double exponential smoothing step six times and combines the last four results using a volume factor, creating a smooth average with less lag than a plain multiple EMA.	It is read like any trend line: price above a rising T3 suggests an uptrend and below a falling T3 a downtrend.
Trend Intensity Index	Commonly defined as the proportion of recent price deviations from a moving average that are positive, expressed on a 0 to 100 scale.	Values near 100 mean price has stayed above its average with large deviations, and values near 0 the reverse.
Trend Strength Index	Commonly implemented as the correlation between closing prices and a time index over a lookback window, so a value near +1 means price has risen steadily and near -1 fallen steadily.	Values close to +1 or -1 indicate a straight-line trend up or down, while values near zero indicate no linear relationship between price and time.
Triangular Moving Average	A moving average that is smoothed twice: a simple moving average of a simple moving average.	Read like other averages: price above a rising TMA indicates an uptrend.
Triple Exponential Moving Average	Patrick Mulloy's TEMA combines one, two and three successive exponential averages to cancel much of the lag of an EMA.	Price above a rising TEMA is read as an uptrend, and below a falling TEMA as a downtrend.
TRIX	Jack Hutson's TRIX is the one-period percentage rate of change of a triple-smoothed exponential moving average.	Positive TRIX means the triple-smoothed average is rising and negative that it is falling.
Variable Index Dynamic Average	Tushar Chande's VIDYA is an exponential moving average whose smoothing weight is scaled by a volatility index, so it speeds up when volatility is high and slows down when it is low.	It trails price like other moving averages, but moves faster in directional stretches and flattens when the volatility index is low.
Vertical Horizontal Filter	Adam White's VHF measures whether price is trending or moving sideways by dividing the range of closing prices over a window by the total distance price traveled bar to bar.	Higher VHF values mean price moved efficiently in one direction, characteristic of a trend, and lower values mean much back-and-forth, characteristic of a range.
Volume Weighted Moving Average	A moving average that weights each price by its trading volume, so bars with heavy volume influence the average more than quiet bars.	VWMA above a simple moving average of the same length shows that higher prices traded on heavier volume, and below it that lower prices did.
Vortex Indicator	Developed by Etienne Botes and Douglas Siepman, the Vortex Indicator has two lines, VI+ and VI-, based on the distance between the current high and prior low, and the current low and prior high, relative to true range.	VI+ above VI- indicates upward movement is stronger, and the reverse indicates downward movement.
Weighted Moving Average	A moving average that gives the newest price the greatest weight and decreases the weight in a straight line back through the window.	Because the newest price counts most, it responds faster than a simple moving average of the same length.
Wilder Smoothed Moving Average	Wilder's smoothing is a recursive average that adds one n-th of the gap between the new value and the prior average.	It is the smoothing used inside RSI, ATR and ADX.
Williams Alligator	Bill Williams' Alligator plots three smoothed moving averages of the median price, each shifted forward: the jaw (13 periods shifted 8 bars), teeth (8 periods shifted 5) and lips (5 periods shifted 3).	When the three lines are intertwined the market is described as sleeping, with no clear trend.
Zero-Lag Exponential Moving Average	An exponential moving average applied to price that has first been adjusted to remove lag, by adding the difference between the current price and a price several bars back.	Read like any average: price above a rising ZLEMA indicates an uptrend and below a falling one a downtrend.

Each row is the opening sentence of that indicator's own definition and reading, so the table says exactly what the profile says.

What limits do Trend indicators share?

Lag is structural: every smoothed line is behind price by roughly half its length, so trend indicators enter late and exit late, and in a ranging market the crossovers whipsaw with a loss on each turn. The evidence for trend following is across many markets and decades, with years of drawdown between the trends that pay, and no setting is right for every instrument. Strength filters such as ADX themselves lag, so they confirm a trend that has been running for weeks, and the directional-movement system's thresholds (20, 25, 40) are conventions from its 1978 origin rather than tested constants.

Frequently Asked Questions

What is the difference between a simple and an exponential moving average?

A simple moving average weights every price in its window equally; an exponential moving average weights recent prices more, with the weight decaying geometrically, so it reacts faster to a change and carries less lag for the same nominal length. The exponential average also never fully forgets old data, while the simple average drops each price when it leaves the window, which produces a jump when a large old price exits.

How does ADX measure trend strength?

ADX smooths the difference between the plus and minus directional indicators, which measure how much of each day's range extends above the previous high or below the previous low, as a share of the true range. It rises when one direction dominates regardless of which, so it measures strength without direction; readings below 20 are read as no trend and above 25 as a trend worth following, conventions from Wilder's 1978 book.

What does a golden cross mean?

A golden cross is the 50-day moving average crossing above the 200-day, read as the medium-term trend turning up; the opposite is a death cross. Because both averages lag, the cross confirms a rise that is already two to three months old, and its record is that of a slow trend-following rule: it has caught every long bull market late and produced several false signals in ranges.

What is an adaptive moving average?

An adaptive moving average changes its own smoothing according to market conditions: Kaufman's uses an efficiency ratio of net to total movement so it speeds up in a trend and slows in a range, the MESA adaptive average uses the measured dominant cycle, and the variable index dynamic average uses volatility. The aim is less lag in a trend without more noise in a range, at the cost of a second parameter to choose.