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Supersmoother

Ehlers 2 Pole Super Smoother Filter V2 [CC]The 2 Pole Super Smoother Filter was created by John Ehlers (Cycle Analytics For Traders pg 32) and this follows the price very closely and very useful because it is consistent with uptrends and falls sharply during a sudden downtrend so it should be able to help you stay more profitable. Buy when the indicator line turns green and sell when it turns red. Let me know if there are other indicators you would like to see me publish or if you want something custom done!
Penunjuk Pine Script®
oleh cheatcountry
5
Resampling Filter Pack [DW]This is an experimental study that calculates filter values at user defined sample rates. This study is aimed to provide users with alternative functions for filtering price at custom sample rates. First, source data is resampled using the desired rate and cycle offset. The highest possible rate is 1 bar per sample (BPS). There are three resampling methods to choose from: -> BPS - Resamples based on the number of bars. -> Interval - Resamples based on time in multiples of current charting timeframe. -> PA - Resamples based on changes in price action by a specified size. The PA algorithm in this script is derived from my Range Filter algorithm. The range for PA method can be sized in points, pips, ticks, % of price, ATR, average change, and absolute quantity. Then, the data is passed through one of my custom built filter functions designed to calculate filter values upon trigger conditions rather than bars. In this study, these functions are used to calculate resampled prices based on bar rates, but they can be used and modified for a number of purposes. The available conditional sampling filters in this study are: -> Simple Moving Average (SMA) -> Exponential Moving Average (EMA) -> Zero Lag Exponential Moving Average (ZLEMA) -> Double Exponential Moving Average (DEMA) -> Rolling Moving Average (RMA) -> Weighted Moving Average (WMA) -> Hull Moving Average (HMA) -> Exponentially Weighted Hull Moving Average (EWHMA) -> Two Pole Butterworth Low Pass Filter (BLP) -> Two Pole Gaussian Low Pass Filter (GLP) -> Super Smoother Filter (SSF) Downsampling is a powerful filtering approach that can be applied in numerous ways. However, it does suffer from a trade off, like most studies do. Reducing the sample rate will completely eliminate certain levels of noise, at the cost of some spectral distortion. The lower your sample rate is, the more distortion you'll see. With that being said, for analyzing trends, downsampling may prove to be one of your best friends!
Penunjuk Pine Script®
oleh DonovanWall
32
Ehlers 2 Pole Super Smoother Filter V1 [CC]The 2 Pole Super Smoother Filter was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 202) and this one of his filters that follows the price very closely. I would recommend to change the default settings to what fits your trading style the best. Buy when the indicator line turns green and sell when it turns red. Let me know if there are other scripts you would like to see or if you want something custom done!
Penunjuk Pine Script®
oleh cheatcountry
5
Roofing Filter [DW]This is an experimental study built on the concept of using roofing filters on price data proposed by John Ehlers. Roofing filters are a type of bandpass filter conventionally used in HF radio receivers in the first IF stage to limit the frequency spectrum passed on to later stages in the receiver. The goal in applying roofing filters to a price signal is to simultaneously attenuate high frequency noise and low frequency distortion to pass an oscillating signal with a nearly zero mean for analysis and/or further calculation. In this study, there are three filter types to choose from: -> Ehlers Roofing Filter, which passes data through a 2 pole high pass filter, then through a Super Smoother filter. -> Gaussian Roofing Filter, which passes data through a 2 pole Gaussian high pass filter, then through a 2 pole Gaussian low pass filter. -> Butterworth Roofing Filter, which passes data through a 2 pole Butterworth high pass filter, then through a 2 pole Butterworth low pass filter. Each filter type has different amplitude and delay characteristics, so play around with each type and see which response suits your needs best. There is an option to normalize the scale of the output as well. The normalization process in this script is computed by comparing positive and negative outputs to the filter's moving RMS value. The resulting oscillator can be fed through numerous conventional indicators including Stochastic Oscillator, RSI, CCI, etc. to generate smoother, less distorted indicators for a clearer view of turning points. Alternatively, it can also act as an indicator itself, as implied by the corresponding color scheme included in the script. Although roofing filters are not conventionally used in the analysis of market data, applying such spectral analysis techniques may prove to be quite useful for the design of more efficient indicators and more reliable predictions.
Penunjuk Pine Script®
oleh DonovanWall
15
Ehler's Super Smoother 2 and 3 pole (properly initialized)John Ehlers' Super Smoother 2 and 3 pole - properly initialized www.stockspotter.com Failure to properly initialize early values of the super smoother will result in misleading values early in the output. Because the SS is an IIR ( infinite impulse response) filter, this error can ring in the filter for a long time, but is extremely evident in the first 2*len bars. This is an implementation if the 2 and 3 pole SS filter, with special attention to initializing the early values. It uses (src+scr)/2 per Ehlers but contains code to just use src if you prefer to calculate that outside the function as everget does in his SS here: there is code included to make that change. Many thanks to everget for his terrific implementations of much of John Ehlers' work. It has been tremendously helpful to me.
Penunjuk Pine Script®
oleh yatrader2
Moving Average Bundle3 Moving Average Lines. All parameters are configurable via user input. Each of these moving average lines already exist as individual indicators in TradingView. This script just bundles them for one stop shopping. It's helpful if you're limited by the number of indicators per chart. And highly educational: quickly compare the different averaging methods! sma: Simple Moving Average rma: Recursive Moving Average ema: Exponential Moving Average wma: Weighted Moving Average vma: Volume Weighted Moving Average wma: Weighted Moving Average alma: Arnaud Legoux Moving Average Note: Only Pine built-in functions are included.
Penunjuk Pine Script®
oleh brobear
4
Super Smoothed MACD for STOCKS by KIVANÇ fr3762THIS INDICATOR IS DESIGNED USING EHLERS' SUPER SMOOTHER FILTER DESIGNED FOR STOCKS (another version available for CRYPTO TRADE: Super Smoothed MACD for CRYPTO by KIVANÇ fr3762) Instead of EXPONENTIAL MOVING AVERAGES in traditional MACD calculation, Super Smoothed prices are used. The default values of BAND EDGE's (periods) of these Super Smoothed Prices are 13,8, and 3 (Fibonacci numbers) which pretty work well for daily trade users can change these values 13,8,5 or 21,13,5 or 21,13,8 and so on to have optimum trade productivity
Penunjuk Pine Script®
oleh KivancOzbilgic
11
Super Smoothed MACD for CRYPTO by KIVANÇ fr3762THIS INDICATOR IS DESIGNED USING EHLERS' SUPER SMOOTHER FILTER DESIGNED FOR CRYPTO TRADE (another version available for stocks also: Super Smoothed MACD for STOCKS by KIVANÇ fr3762) Instead of EXPONENTIAL MOVING AVERAGES in traditional MACD calculation, Super Smoothed prices are used. The default values of BAND EDGE's (periods) of these Super Smoothed Prices are 13,8, and 5 (Fibonacci numbers) which pretty work well for daily trade users can change these values 13,8,3 or 21,13,5 or 21,13,8 and so on to have optimum trade productivity
Penunjuk Pine Script®
oleh KivancOzbilgic
16