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Moving Averages ProxyLibrary "MovingAveragesProxy" Moving Averages Proxy - Library of all moving averages spread out in different libraries rvwap(_src, fixedTfInput, minsInput, hoursInput, daysInput, minBarsInput)   Calculates the Rolling VWAP (customized VWAP developed by the team of TradingView)   Parameters:      _src : (float) Source. Default: close      fixedTfInput : (bool) Use a fixed time period. Default: false      minsInput : (int) Minutes. Default: 0      hoursInput : (int) Hours. Default: 0      daysInput : (int) Days. Default: 1      minBarsInput : (int) Bars. Default: 10   Returns: (float) Rolling VWAP correlationMa(src, len, factor)   Correlation Moving Average   Parameters:      src : (float) Source. Default: close      len : (int) Length      factor : (float) Factor. Default: 1.7   Returns: (float) Correlation Moving Average regma(src, len, lambda)   Regularized Exponential Moving Average   Parameters:      src : (float) Source. Default: close      len : (int) Length      lambda : (float) Lambda. Default: 0.5   Returns: (float) Regularized Exponential Moving Average repma(src, len)   Repulsion Moving Average   Parameters:      src : (float) Source. Default: close      len : (int) Length   Returns: (float) Repulsion Moving Average epma(src, length, offset)   End Point Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length      offset : (float) Offset. Default: 4   Returns: (float) End Point Moving Average lc_lsma(src, length)   1LC-LSMA (1 line code lsma with 3 functions)   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) 1LC-LSMA Moving Average aarma(src, length)   Adaptive Autonomous Recursive Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Adaptive Autonomous Recursive Moving Average alsma(src, length)   Adaptive Least Squares   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Adaptive Least Squares ahma(src, length)   Ahrens Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Ahrens Moving Average adema(src)   Ahrens Moving Average   Parameters:      src : (float) Source. Default: close   Returns: (float) Moving Average autol(src, lenDev)   Auto-Line   Parameters:      src : (float) Source. Default: close      lenDev : (int) Length for standard deviation   Returns: (float) Auto-Line fibowma(src, length)   Fibonacci Weighted Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Moving Average fisherlsma(src, length)   Fisher Least Squares Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Moving Average leoma(src, length)   Leo Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Moving Average linwma(src, period, weight)   Linear Weighted Moving Average   Parameters:      src : (float) Source. Default: close      period : (int) Length      weight : (int) Weight   Returns: (float) Moving Average mcma(src, length)   McNicholl Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Moving Average srwma(src, length)   Square Root Weighted Moving Average   Parameters:      src : (float) Source. Default: close      length : (int) Length   Returns: (float) Moving Average EDSMA(src, len)   Ehlers Dynamic Smoothed Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: EDSMA smoothing. dema(x, t)   Double Exponential Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: DEMA smoothing. tema(src, len)   Triple Exponential Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: TEMA smoothing. smma(src, len)   Smoothed Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: SMMA smoothing. hullma(src, len)   Hull Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: Hull smoothing. frama(x, t)   Fractal Reactive Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: FRAMA smoothing. kama(x, t)   Kaufman's Adaptive Moving Average.   Parameters:      x : Series to use ('close' is used if no argument is supplied).      t : Lookback length to use.   Returns: KAMA smoothing. vama(src, len)   Volatility Adjusted Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: VAMA smoothing. donchian(len)   Donchian Calculation.   Parameters:      len : Lookback length to use.   Returns: Average of the highest price and the lowest price for the specified look-back period. Jurik(src, len)   Jurik Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: JMA smoothing. xema(src, len)   Optimized Exponential Moving Average.   Parameters:      src : Series to use ('close' is used if no argument is supplied).      len : Lookback length to use.   Returns: XEMA smoothing. ehma(src, len)   EHMA - Exponential Hull Moving Average   Parameters:      src : Source      len : Period   Returns: Exponential Hull Moving Average (EHMA) covwema(src, len)   Coefficient of Variation Weighted Exponential Moving Average (COVWEMA)   Parameters:      src : Source      len : Period   Returns: Coefficient of Variation Weighted Exponential Moving Average (COVWEMA) covwma(src, len)   Coefficient of Variation Weighted Moving Average (COVWMA)   Parameters:      src : Source      len : Period   Returns: Coefficient of Variation Weighted Moving Average (COVWMA) eframa(src, len, FC, SC)   Ehlrs Modified Fractal Adaptive Moving Average (EFRAMA)   Parameters:      src : Source      len : Period      FC : Lower Shift Limit for Ehlrs Modified Fractal Adaptive Moving Average      SC : Upper Shift Limit for Ehlrs Modified Fractal Adaptive Moving Average   Returns: Ehlrs Modified Fractal Adaptive Moving Average (EFRAMA) etma(src, len)   Exponential Triangular Moving Average (ETMA)   Parameters:      src : Source      len : Period   Returns: Exponential Triangular Moving Average (ETMA) rma(src, len)   RMA - RSI Moving average   Parameters:      src : Source      len : Period   Returns: RSI Moving average (RMA) thma(src, len)   THMA - Triple Hull Moving Average   Parameters:      src : Source      len : Period   Returns: Triple Hull Moving Average (THMA) vidya(src, len)   Variable Index Dynamic Average (VIDYA)   Parameters:      src : Source      len : Period   Returns: Variable Index Dynamic Average (VIDYA) zsma(src, len)   Zero-Lag Simple Moving Average (ZSMA)   Parameters:      src : Source      len : Period   Returns: Zero-Lag Simple Moving Average (ZSMA) zema(src, len)   Zero-Lag Exponential Moving Average (ZEMA)   Parameters:      src : Source      len : Period   Returns: Zero-Lag Exponential Moving Average (ZEMA) evwma(src, len)   EVWMA - Elastic Volume Weighted Moving Average   Parameters:      src : Source      len : Period   Returns: Elastic Volume Weighted Moving Average (EVWMA) tt3(src, len, a1_t3)   Tillson T3   Parameters:      src : Source      len : Period      a1_t3 : Tillson T3 Volume Factor   Returns: Tillson T3 gma(src, len)   GMA - Geometric Moving Average   Parameters:      src : Source      len : Period   Returns: Geometric Moving Average (GMA) wwma(src, len)   WWMA - Welles Wilder Moving Average   Parameters:      src : Source      len : Period   Returns: Welles Wilder Moving Average (WWMA) cma(src, len)   Corrective Moving average (CMA)   Parameters:      src : Source      len : Period   Returns: Corrective Moving average (CMA) edma(src, len)   Exponentially Deviating Moving Average (MZ EDMA)   Parameters:      src : Source      len : Period   Returns: Exponentially Deviating Moving Average (MZ EDMA) rema(src, len)   Range EMA (REMA)   Parameters:      src : Source      len : Period   Returns: Range EMA (REMA) sw_ma(src, len)   Sine-Weighted Moving Average (SW-MA)   Parameters:      src : Source      len : Period   Returns: Sine-Weighted Moving Average (SW-MA) mama(src, len)   MAMA - MESA Adaptive Moving Average   Parameters:      src : Source      len : Period   Returns: MESA Adaptive Moving Average (MAMA) fama(src, len)   FAMA - Following Adaptive Moving Average   Parameters:      src : Source      len : Period   Returns: Following Adaptive Moving Average (FAMA) hkama(src, len)   HKAMA - Hilbert based Kaufman's Adaptive Moving Average   Parameters:      src : Source      len : Period   Returns: Hilbert based Kaufman's Adaptive Moving Average (HKAMA) getMovingAverage(type, src, len, lsmaOffset, inputAlmaOffset, inputAlmaSigma, FC, SC, a1_t3, fixedTfInput, daysInput, hoursInput, minsInput, minBarsInput, lambda, volumeWeighted, gamma_aarma, smooth, linweight, volatility_lookback, jurik_phase, jurik_power)   Abstract proxy function that invokes the calculation of a moving average according to type   Parameters:      type : (string) Type of moving average      src : (float) Source of series (close, high, low, etc.)      len : (int) Period of loopback to calculate the average      lsmaOffset : (int) Offset for Least Squares MA      inputAlmaOffset : (float) Offset for ALMA      inputAlmaSigma : (float) Sigma for ALMA      FC : (int) Lower Shift Limit for Ehlrs Modified Fractal Adaptive Moving Average      SC : (int) Upper Shift Limit for Ehlrs Modified Fractal Adaptive Moving Average      a1_t3 : (float) Tillson T3 Volume Factor      fixedTfInput : (bool) Use a fixed time period in Rolling VWAP      daysInput : (int) Days in Rolling VWAP      hoursInput : (int) Hours in Rolling VWAP      minsInput : (int) Minutrs in Rolling VWAP      minBarsInput : (int) Bars in Rolling VWAP      lambda : (float) Regularization Constant in Regularized EMA      volumeWeighted : (bool) Apply volume weighted calculation in selected moving average      gamma_aarma : (float) Gamma for Adaptive Autonomous Recursive Moving Average      smooth : (float) Smooth for Adaptive Least Squares      linweight : (float) Weight for Volume Weighted Moving Average      volatility_lookback : (int) Loopback for Volatility Adjusted Moving Average      jurik_phase : (int) Phase for Jurik Moving Average      jurik_power : (int) Power for Jurik Moving Average   Returns: (float) Moving average
Libreria Pine Script®
di andre_007
14
Moving Averages - 5 Ribbon MTF HeatmapThis is a 5 Ribbon heatmap moving averages indicator where each represents a different time frame, The RED or GREEN color palette is also affected by asset velocity using ATR. Supports various moving averages including VMA (Default), Zero Lag, TSF (Time Series Forecast). A single ribbon is set to GREEN when fast MA (moving average) is above the slower MA and RED when fast MA is below the slower MA. In the settings you can set the ATR length (Average True Range) which will affect the velocity calculation for the colors, higher ATR length will smooth the coloring more (Less color changes), while lower ATR will show more instant changes. HOW TO USE? The brighter the GREEN is the stronger the up trend. The brighter the RED is the stronger the down trend. A weakening GREEN color can be a sign for a down reversal. A weakening RED color can be a sign for a up reversal . Supports alerts when fast moving average crosses slow moving average from all time frames, either way, up or down. Comments/Suggested/Positive feedbacks are welcome and can make this indicator even better. Follow for upcoming indicators: www.tradingview.com
Indicatore Pine Script®
di dman103
11
Colored Moving Averages Can Help You Spot TrendsMoving averages are perhaps the most popular indicator in technical analysis. But sometimes they're not the easiest to interpret. This indicator helps you see the trend by coloring the MA based on its direction. It's green when rising and red when falling. Of course, you can easily change that in the Style tab under Settings. Color MA also lets you select from five different types of moving averages, including simple, exponential and Hull. We've included a list for easy reference below. Just change the "AvgType" on the Input tab under Settings. This chart of Facebook shows the 20-day simple moving average. Notice how swings often marked turns in the stock price. AvgType codes: 1 - Simple Moving Average 2 - Exponential Moving Average 3 - Hull Moving Average 4 - Weighted Moving Average 5 - Volume Weighted Moving Average
Indicatore Pine Script®
di TradeStation
9
Moving Averages By MoneyTribe21This custom indicator displays three Smoothed Moving Averages (SMAs) designed to help traders identify market trends, potential reversals, and key support/resistance levels. It is ideal for trend-following strategies, momentum trading, and confirming price direction in various timeframes. Three Smoothed Moving Averages to track short-term, mid-term, and long-term trends: 21-Day SMA: Captures short-term price momentum and trend direction. 50-Day SMA: Represents the mid-term trend, often used as dynamic support/resistance. 200-Day SMA: The long-term trend filter, commonly watched by institutional traders. Fully Customizable Settings Adjust period length for each SMA to fit your strategy. Modify line colors, thickness, and styles for better visibility. Enable/disable specific SMAs based on preference. Works Across All Markets Compatible with Forex, Stocks, Commodities, Crypto, and Indices. Supports multiple timeframes (1M, 5M, 1H, Daily, Weekly, etc.)
Indicatore Pine Script®
di MoneyTribeTrader
1
Moving Averages & Bollinger Bands with ForecastsMoving Averages & Bollinger Bands with Forecasts 11 Moving Averages SMA, EMA, WMA Highly Customizable Linear Regression Forecast Bollonger Bands Personal Setup: Add indicator twice 1st indicator = SMA using #4, 7, 10, 11 (20, 50, 100, 200 SMAs) with bollonger bands on 20. 2nd indicator = EMA using #1, 2, 3, 5, 6, 8, 9 (5, 8, 13, 21 ,34, 55, 89 EMAs). This allows easy toggling between SMAs/Bolls and Fib EMAs Thank you to yatrader2 for the forecast code
Indicatore Pine Script®
di cptOats
1
Moving Averages & Bollinger Bands with ForecastsMoving Averages & Bollinger Bands with Forecasts 11 Moving Averages SMA, EMA, WMA Highly Customizable Linear Regression Forecast Bollonger Bands Personal Setup: Add indicator twice 1st indicator = SMA using #4, 7, 10, 11 (20, 50, 100, 200 SMAs) with bollonger bands on 20. 2nd indicator = EMA using #1, 2, 3, 5, 6, 8, 9 (5, 8, 13, 21 ,34, 55, 89 EMAs). This allows easy toggling between SMAs/Bolls and Fib EMAs Thank you to yatrader2 for the forecast code
Indicatore Pine Script®
di cptOats
Moving Averages & Bollinger Bands with ForecastsMoving Averages & Bollinger Bands with Forecasts 11 Moving Averages SMA, EMA, WMA Highly Customizable Linear Regression Forecast Bollonger Bands Personal Setup: Add indicator twice 1st indicator = SMA using #4, 7, 10, 11 (20, 50, 100, 200 SMAs) with bollonger bands on 20. 2nd indicator = EMA using #1, 2, 3, 5, 6, 8, 9 (5, 8, 13, 21 ,34, 55, 89 EMAs). This allows easy toggling between SMAs/Bolls and Fib EMAs Thank you to yatrader2 for the forecast code
Indicatore Pine Script®
di cptOats
Moving Averages & Bollinger Bands with ForecastsMoving Averages & Bollinger Bands with Forecasts 11 Moving Averages SMA, EMA, WMA Highly Customizable Linear Regression Forecast Bollonger Bands Personal Setup: Add indicator twice 1st indicator = SMA using #4, 7, 10, 11 (20, 50, 100, 200 SMAs) with bollonger bands on 20. 2nd indicator = EMA using #1, 2, 3, 5, 6, 8, 9 (5, 8, 13, 21 ,34, 55, 89 EMAs). This allows easy toggling between SMAs/Bolls and Fib EMAs Thank you to yatrader2 for the forecast code
Indicatore Pine Script®
di cptOats
1
Moving Averages 3DHello All, This is an experimental work to show 10 moving averages in 3D by using linefill.new() feature of the Pine language. You can set moving average type as Simple (SMA) or Exponential (EMA) You can set "Starting Length" and set the "Step" to calculate other lengths. For example; if "Starting Length" is 10 and "step" is 5 then the lengths are 10, 15, 20, 25... You can set the colors as Red, Green, Blue for each direction. And you can change the width. you can see the examples below In following example Green and Blue used: In following example Blue and Red is used and Width is set as 5: Enjoy!
Indicatore Pine Script®
di LonesomeTheBlue
68
Moving Averages Trend IndicatorComputes a metric (0.0-1.0) based on the relative (above/below) relationship of price (close) and the moving averages of WMA0 (20day), SMA1 (50day), SMA2 (100day), SMA3 (200day). Metric = 1.0 when price > SMA0 > SMA1 > SMA2 > SMA3 Metric = 0.0 when price < SMA0 < SMA1 < SMA2 < SMA3 This metric helps you track the price "trend." Color of the metric helps you track if the price is a bullish (green) or bearish (red). Blue indicates neutral. Settings: - Time Frame is adjustable - SMA lengths are adjustable - Threshold for bullish/bearish is adjustable
Indicatore Pine Script®
di Dr_Roboto
2