1. Introduction

The Trend Speed Analyzer is a technical indicator designed by Zeiierman to provide a visual and quantitative reading of the speed at which a trend is moving, as well as abrupt changes in price direction. Unlike conventional indicators that only show trend direction, this indicator adds an extra layer of analysis through the use of a dynamic moving average and an accelerated price movement calculation.

It is presented in two distinct parts:

• A visualization integrated directly into the price chart, where candlesticks change color based on the strength and direction of the trend.
• A lower panel that displays a histogram of trend speed, making it easier to interpret market movements.

This dual representation makes the Trend Speed Analyzer a very useful tool for both visual analysis and the development of strategies based on market momentum.

2. Concept of the Trend Speed Analyzer

The Trend Speed Analyzer is based on two fundamental pillars: dynamic trend detection and the measurement of its evolution speed.

Dynamic Moving Average

At the core of the indicator is a dynamic exponential moving average. Unlike a conventional fixed-length moving average, this one adjusts automatically based on volatility and recent price behavior. It uses a variable length (dynLength) that is recalculated with each candle based on the normalization of price changes.

This approach allows the average to react more quickly during high market activity phases and to smooth out during consolidation periods, providing a more accurate and adaptive trend reading.

Acceleration Factor

In addition to dynamic length, the indicator incorporates an acceleration factor. This is calculated by comparing the current price variation with past variations, amplifying the moving average’s response to abrupt changes and enhancing the indicator’s sensitivity to trend beginnings or endings.

Speed Calculation

Once the trend is established through the dynamic average, the trend speed is calculated by the difference between a smoothed average of closing prices (WilderAverage) and the corresponding opening. This accumulated value becomes a quantitative measure of momentum, which is then smoothed using a Hull average for a clearer reading.

3. Visualization on the Price Chart

The first part of the Trend Speed Analyzer is represented directly on the price chart via a dynamic moving average and candlestick coloring based on trend strength.

Dynamic Moving Average

A continuous line is drawn over the price representing the calculated dynamic average. This line constantly adapts to price behavior and acts as a visual reference to identify the market’s directional bias.

Candle Coloring

Chart candlesticks are progressively colored according to the intensity of price movement. Color gradients indicate whether momentum is bullish or bearish and how strong it is:

• Bullish trends: candles range from light yellow to deep green, indicating stronger bullish force as they approach green.
• Bearish trends: colors range from deep red to light pink, reflecting a bearish slowdown or transition.

This visual approach allows for quick detection of turning points or moments when the trend gains or loses strength, which is especially useful for traders seeking to confirm breakouts or avoid false signals.

4. Visualization in the Lower Panel

The second part of the Trend Speed Analyzer is presented in a panel located just below the price chart. This is where the trend speed histogram is displayed, a visual tool for quickly assessing market momentum intensity and direction.

Speed Histogram

The histogram reflects the evolution of the speed variable, smoothed using a Hull average to produce a cleaner and easier-to-interpret curve. This value indicates whether trend momentum is increasing, decreasing, or reversing.

• Bars above zero indicate bullish momentum.
• Bars below zero indicate bearish momentum.
• The further from the zero line, the stronger the movement.

Progressive Coloring

Each histogram bar is colored based on the relative strength of the momentum, using a progressive gradient:

• Bullish impulses: range from yellow to green.
• Bearish impulses: range from deep red to light pink.

This visual treatment facilitates the detection of divergences, accelerations, and decelerations in price dynamics, providing a clear reference to anticipate possible trend changes.

5. Indicator Settings

The Trend Speed Analyzer includes three main parameters that allow customization based on trading style or the asset being analyzed. Adjusting these parameters enables the user to adapt the indicator’s sensitivity to different market conditions.

MaxPeriod

• Description: Defines the maximum period the dynamic moving average can reach.
• Default value: 50
• Use: A higher value makes the average smoother and slower to react, while lower values make it more reactive and price-sensitive.

AccelMultiplier

• Description: Multiplier that amplifies the effect of the acceleration factor on the moving average.
• Default value: 5.0
• Use: Increasing it boosts the indicator’s sensitivity to rapid price changes. Decreasing it makes the average respond more moderately.

CollectionPeriod

• Description: Number of candles used to calculate speed normalization, which is used to generate progressive colors.
• Default value: 100
• Use: A higher value smooths color changes and makes the indicator respond to longer trends. A lower value emphasizes recent movements more.

These three parameters work together to adjust the indicator’s responsiveness, fluidity, and visualization to market behavior. Their correct combination can make the difference between a clear signal and an ambiguous reading.

6. Practical Applications

The Trend Speed Analyzer is a versatile tool that can be used both independently and in combination with other indicators to improve decision-making. Its main uses in technical analysis include:

Breakout Confirmation

When the price crosses a key support or resistance zone, an acceleration in candle color or a spike in the histogram can confirm that the movement is strong and not a false breakout.

Trend Change Identification

Color transitions in candlesticks or a histogram crossing the zero line can anticipate changes in market direction, providing early reversal signals.

Signal Filtering

The indicator can be used as a filter for other systems. For example, entries against the dominant trend identified by the dynamic average or its associated speed can be avoided.

Divergence Detection

Comparing price action with histogram behavior can reveal divergences that warn of possible exhaustion or imminent reversals.

Quick Visual Analysis

Thanks to the progressive coloring in both the price chart and the lower panel, it’s possible to get an immediate reading of market strength and direction without additional calculations.

7. Code

//--------------------------------------------//
// PRC_Trend Speed Analyzer_Price
// Version = 0
// 18.06.2025
// Translated by Iván González @ www.prorealcode.com
// Sharing ProRealTime knowledge
//--------------------------------------------//
// --- Inputs ---
//--------------------------------------------//
MaxPeriod = 50
AccelMultiplier = 5.0
CollectionPeriod = 100

// Histogram colours
UpHistColR = 255 // R
UpHistColG = 255 // G
UpHistColB = 50 // B

UpHistCol2R = 0 // R
UpHistCol2G = 153 // G
UpHistCol2B = 50// B

DnHistColR = 255 // R
DnHistColG = 0 // G
DnHistColB = 0 // B

DnHistCol2R = 247 // R
DnHistCol2G = 225 // G
DnHistCol2B = 225 // B
//--------------------------------------------//
// --- Calculations ---
//--------------------------------------------//
ONCE lastTrendDirection = 0
ONCE lastTrendSpeed = 0

// Dynamic Average calculation
IF BarIndex <= 200 THEN
dynEma = close
speed = 0
ELSE
// Dynamic Average calculation
countsDiff = close
maxAbsCountsDiff = HIGHEST[200](ABS(countsDiff))

IF maxAbsCountsDiff = 0 THEN
maxAbsCountsDiff = 1
ENDIF

countsDiffNorm = (countsDiff + maxAbsCountsDiff) / (2 * maxAbsCountsDiff)
dynLength = 5 + countsDiffNorm * (MaxPeriod - 5)

// Accelerator factor calculation
deltaCountsDiff = ABS(countsDiff - countsDiff[1])
maxDeltaCountsDiff = HIGHEST[200](deltaCountsDiff)

IF maxDeltaCountsDiff = 0 THEN
maxDeltaCountsDiff = 1
ENDIF

accelFactor = deltaCountsDiff / maxDeltaCountsDiff

// Alpha Calculation
alphaBase = 2 / (dynLength + 1)
alpha = alphaBase * (1 + accelFactor * AccelMultiplier)
alpha = min(1,alpha)

// Dynamic EMA calculation
dynEma = alpha * close + (1 - alpha) * dynEma[1]
    
// Trend Speed Calculation
c = WilderAverage[10](close)
o = WilderAverage[10](open)
trend = dynEma

IF close > trend AND close[1] <= trend THEN
speed = c - o
lastTrendDirection = 1
ELSIF close < trend AND close[1] >= trend THEN
speed = c - o
lastTrendDirection = -1
ELSE
speed = speed[1] + (c - o)
ENDIF
    
// Trend Speed (Histogram)
trendspeed = HullAverage[5](speed)

// Speed Gradient (colours)
minSpeed = LOWEST[CollectionPeriod](speed)
maxSpeed = HIGHEST[CollectionPeriod](speed)

IF maxSpeed - minSpeed = 0 THEN
normalizedSpeed = 0
ELSE
normalizedSpeed = (speed - minSpeed) / (maxSpeed - minSpeed)
ENDIF

IF dynema>average[2,2](close) THEN // Bearish trend
r = ROUND(DnHistColR + (DnHistCol2R - DnHistColR) * normalizedSpeed)
g = ROUND(DnHistColG + (DnHistCol2G - DnHistColG) * normalizedSpeed)
b = ROUND(DnHistColB + (DnHistCol2B - DnHistColB) * normalizedSpeed)
ELSE  // Bullish trend
r = ROUND(UpHistColR + (UpHistCol2R - UpHistColR) * normalizedSpeed)
g = ROUND(UpHistColG + (UpHistCol2G - UpHistColG) * normalizedSpeed)
b = ROUND(UpHistColB + (UpHistCol2B - UpHistColB) * normalizedSpeed)
ENDIF

IF speed < 0 THEN // Bearish trend
CurrentR = ROUND(DnHistColR + (DnHistCol2R - DnHistColR) * normalizedSpeed)
CurrentG = ROUND(DnHistColG + (DnHistCol2G - DnHistColG) * normalizedSpeed)
CurrentB = ROUND(DnHistColB + (DnHistCol2B - DnHistColB) * normalizedSpeed)
ELSE  // Bullish trend
CurrentR = ROUND(UpHistColR + (UpHistCol2R - UpHistColR) * normalizedSpeed)
CurrentG = ROUND(UpHistColG + (UpHistCol2G - UpHistColG) * normalizedSpeed)
CurrentB = ROUND(UpHistColB + (UpHistCol2B - UpHistColB) * normalizedSpeed)
ENDIF
drawcandle(open,high,low,close)coloured(CurrentR,CurrentG,CurrentB)
ENDIF

RETURN dynEma AS "Dynamic EMA" STYLE(line,3) COLOURED(r, g, b)

//--------------------------------------------//
// PRC_Trend Speed Analyzer_Histogram
// Version = 0
// 18.06.2025
// Translated by Iván González @ www.prorealcode.com
// Sharing ProRealTime knowledge
//--------------------------------------------//
// --- Inputs ---
//--------------------------------------------//
MaxPeriod = 50
AccelMultiplier = 5.0
CollectionPeriod = 100

// Histogram colours
UpHistColR = 255 // R
UpHistColG = 255 // G
UpHistColB = 50 // B

UpHistCol2R = 0 // R
UpHistCol2G = 153 // G
UpHistCol2B = 50// B

DnHistColR = 255 // R
DnHistColG = 0 // G
DnHistColB = 0 // B

DnHistCol2R = 247 // R
DnHistCol2G = 225 // G
DnHistCol2B = 225 // B
//--------------------------------------------//
// --- Calculations ---
//--------------------------------------------//
ONCE lastTrendDirection = 0
ONCE lastTrendSpeed = 0

// Dynamic Average calculation
IF BarIndex <= 200 THEN
dynEma = close
speed = 0
ELSE
// Dynamic Average calculation
countsDiff = close
maxAbsCountsDiff = HIGHEST[200](ABS(countsDiff))

IF maxAbsCountsDiff = 0 THEN
maxAbsCountsDiff = 1
ENDIF

countsDiffNorm = (countsDiff + maxAbsCountsDiff) / (2 * maxAbsCountsDiff)
dynLength = 5 + countsDiffNorm * (MaxPeriod - 5)

// Accelerator factor calculation
deltaCountsDiff = ABS(countsDiff - countsDiff[1])
maxDeltaCountsDiff = HIGHEST[200](deltaCountsDiff)

IF maxDeltaCountsDiff = 0 THEN
maxDeltaCountsDiff = 1
ENDIF

accelFactor = deltaCountsDiff / maxDeltaCountsDiff

// Alpha Calculation
alphaBase = 2 / (dynLength + 1)
alpha = alphaBase * (1 + accelFactor * AccelMultiplier)
alpha = min(1,alpha)

// Dynamic EMA calculation
dynEma = alpha * close + (1 - alpha) * dynEma[1]
    
// Trend Speed Calculation
c = WilderAverage[10](close)
o = WilderAverage[10](open)
trend = dynEma

IF close > trend AND close[1] <= trend THEN
speed = c - o
lastTrendDirection = 1
ELSIF close < trend AND close[1] >= trend THEN
speed = c - o
lastTrendDirection = -1
ELSE
speed = speed[1] + (c - o)
ENDIF
    
// Trend Speed (Histogram)
trendspeed = HullAverage[5](speed)

// Speed Gradient (colours)
minSpeed = LOWEST[CollectionPeriod](speed)
maxSpeed = HIGHEST[CollectionPeriod](speed)

IF maxSpeed - minSpeed = 0 THEN
normalizedSpeed = 0
ELSE
normalizedSpeed = (speed - minSpeed) / (maxSpeed - minSpeed)
ENDIF

IF speed < 0 THEN // Bearish trend
CurrentR = ROUND(DnHistColR + (DnHistCol2R - DnHistColR) * normalizedSpeed)
CurrentG = ROUND(DnHistColG + (DnHistCol2G - DnHistColG) * normalizedSpeed)
CurrentB = ROUND(DnHistColB + (DnHistCol2B - DnHistColB) * normalizedSpeed)
ELSE  // Bullish trend
CurrentR = ROUND(UpHistColR + (UpHistCol2R - UpHistColR) * normalizedSpeed)
CurrentG = ROUND(UpHistColG + (UpHistCol2G - UpHistColG) * normalizedSpeed)
CurrentB = ROUND(UpHistColB + (UpHistCol2B - UpHistColB) * normalizedSpeed)
ENDIF
    
ENDIF

RETURN trendspeed AS "Trend Speed" STYLE(HISTOGRAM) COLOURED(CurrentR, CurrentG, CurrentB)