OVERVIEW The Average True Range Moving Average (ATRMA) is a technical indicator that gauges the amount of volatility currently present in the market, relative to the historical average volatility that was present before. It adds a moving average to the Average True Range (ATR) indicator. This indicator is extremely similar to the VOXI indicator, but instead of...

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As the name says this is a straightforward way to highlight the times of day that you are interested in studying. Like to trade just a market open, or highlight a full session? Could also be used negatively to "block out" a window of time each day. Usage: Just set your preferred time zone and then your time window (start and end). Hope you find it useful! 😁

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OVERVIEW The Volume Oximeter (VOXI) is a technical indicator that gauges the amount of volume currently present in the market, relative to the historical volume that was present before. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending conditions. CONCEPTS This indicator assumes that trends are more likely to start...

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This script is designed and optimized for MULTI TIME by Ali Zebardast (ALZ) 1.in part of ssl Original Version credits to Mihkel00 Actual Version i just set alerts and change the parameters for BTCUSDT 1min Chart. He designed for daily time. I tried to optimize 1 min time-frame . And fix the errors with OTT "This script has a SSL / Baseline (you can choose...

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The Fractal Dimension Index is a technical indicator that gauges the amount of volatility currently present in the market. The theory behind this indicator is that a value of 1.5 suggests the market is acting in a completely random fashion. As the market deviates from 1.5, the opportunity for earning profits is increased in proportion to the amount of...

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This indicator builds upon the previously posted Nadaraya-Watson Estimator. Here we have created an envelope indicator based on kernel smoothing with integrated alerts from crosses between the price and envelope extremities. Unlike the Nadaraya-Watson Estimator, this indicator follows a contrarian methodology. For more information on the Nadaraya-Watson Estimator...

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Moving averages are filters on price data. This moving average creates a filter which factors in: - the price RSI or it's Momentum - the volume RSI - the RVI or Volatility Each factor is put through a least squares filter to smooth them first. Then the factors are used to build a coefficient for an exponentially weighted average. The chart above shows a...

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This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI. First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount. Next, the filter is...

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This study is an experiment utilizing the Ehlers Gaussian Filter technique combined with lag reduction techniques and true range to analyze trend activity. Gaussian filters, as Ehlers explains it, are simply exponential moving averages applied multiple times. First, beta and alpha are calculated based on the sampling period and number of poles specified. The...

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The following tool smooths the price data using the Nadaraya-Watson estimator, a simple Kernel regression method. We make use of the Gaussian kernel as a weighting function. Kernel smoothing allows the estimating of underlying trends in the price and has found certain applications in stock prices pattern detection. Note that results are subject to repainting,...

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The Triangle Moving Average is the last of custom scripts converting Ehlers Window Indicators to Moving Averages. As you can see this is actually very similar to the Hamming Moving Average and the Hann Moving Average so I would recommend to test this one out with different settings and see what works best for you. As far as the formula calculation, it is a...

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The new array feature is extremely powerful, as it will allow pinescript users to do more complex things, or compute existing calculations more efficiently, it will also be possible to shine some light to some already existing functions, one of them being percentile_nearest_rank . We have been working on this new feature with our pal alexgrover, and made this...

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A simple yet powerful way to filter out choppy ranges or sideways moves without missing out on good trades It calculates the %-distance of the price to a moving average so you can ignore buy/sell signals around the center line. The upper and lower line are thresholds to catch reversals of the trend when the distance to moving average is increasing. Thanks...

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Bollinger Bands Breakout Strategy is the strategy version of Bollinger Bands Filter study version, which can be found under my scripts page. The strategy goes long when price closes above the upper band and goes short signal when price closes below the lower band. Bollinger Bands is a classic indicator that uses a simple moving average of 20 periods, along...

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This indicator was originally developed by Mark Jurik. NOTE: If Mr. Jurik ask me to remove this indicator from public access then I will do it.

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A derivation of the famous SuperTrend indicator. My motivation for such indicator was to use more recursion in the original SuperTrend code, this work was made quite fast but feel free to modify it, as always my work is more for inspirational use than anything else so i hope it will inspire you to get more involved with the SuperTrend code or to start coding...

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This indicator was originally developed by John F. Ehlers (Stocks & Commodities , V.33:10 (September, 2015): "Decyclers"). The idea is still the same as for the Simple Decycler. Mr. Ehlers suggested to virtually eliminate lag by getting rid of the very low-frequency components. So, he applied the high-pass filter to the simple decycler. Mr. Ehlers recommended to...

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This is a version 3 of my mod of the script by alexgrover - Efficient Trend Step. The logic is based on calculation of Kaufman's efficiency ratio (ER): ER = Direction / Volatility where: Direction = ABS (Close – Close ) Volatility = n ∑(ABS(Close – Close )) n = The efficiency ratio period. This version features volatility and volume filter and custom...

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