filter

capissimo

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...

Gunslinger2005

I would like to first say I do not the indicator pieces. Would like to personally give thanks and credit to @MarkBench for coding this indicator and helping to get my vision for this system finally able to be published and used by anyone. I would also like the thank @lazy bear and @ChrisMoody for their bringing the Firefly oscillator and the SCHAFF TREND and the...

kaaiii

Simple indicator designed as filter so you can easily see how the currency or asset performed during each month historically. Can used to identify a possible month to enter or exit a trade in. For best results use in combination with another indicator or candle pattern to signal an entry in a historically bullish month *This indicator is designed to be used only...

kaaiii

Day trading trend filter indicator designed to hep get better entries or exits based on historical opens and closes each hour. This indicator is NOT designed as an entry or exit signal. The purpose behind it is to give you statistical information about how likely certain times of day are either bullish, bearish or neutral and use that to confirm or reject other...

wallneradam

It is an ATR indicator which filters out outliers. Outliers are values which are higher than the standard deviation of the true range. It may be better than normal ATR for stop loss, because it does not keep large values after pump or dump. It is very useful for high volatile markets like crypto markets.

duncanstroud

This is an alternative way to do bandpass filtering. I Still need to update it to support moveable frequency bands. The lowBandpass() is just a 'trick,' as it simply subtracts the highBandpass() from the close data, so it is not really accurate in that it removes the low frequencies, just in a rather less-than-ideal manner. The "spectrum" of the dataset to...

DonovanWall

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...

NXT2017

HI BIG PLAYERS, this script I wrote for an enquiry of a tradingview-user. It should represent the Filtered Waves idea from Arthur Merril and used by Linda Raschke. It's similar like a visualization of Elliott Waves. On YouTube title "MTA UK Chapter Presentation with Linda Raschke" between 34-36 minutes Linda Raschke shows the rules for her Filterd Waves. Any...

ChrisMoody

Famous Filtered Pivots Indicator -Many TimeFrames Available CM_Pivot Points_M-W-D-4H-1H_Filtered ***Special Thanks to TheLark...AKA...The Coding Genius For Providing His Expertise... ***New Feature - Ability to turn On/Off Pivot Moving Average ***New Feature - Ability to turn On/Off Filtered Pivots (Explained Below) Available Timeframes (Change In Inputs...

scarf

Check the settings to see how the filters work. I added alerts and a feature that shows the divergences that have been filtered, but as faded "ghost" divergences. Spooooky. This is useful for tuning the script to a particular market. All credit to RicardoSantos for the original.

TheLark

What's new? v2 has added multi timeframe support. Blatantly stole Chris Moody's code for multi timeframe, because why re-invent the wheel? Thanks Chris ;P BUT -- modified the coloring to work correctly with higher timeframes, just another Lark hack, so it's a give and take :) _____________________________ The Laguerre Average (filter) was discovered by John...

everget

This indicator was originally developed by John F. Ehlers (Stocks & Commodities, V.33:10 (September, 2015): "Decyclers"). Mr. Ehlers suggested a way to improve trend identification using high-pass filters. The basic smoothers like SMA, low-pass filters, have considerable lag in their display. Mr. Ehlers applied the high-pass filter and subtracted the high-pass...

theheirophant

Time Series Lag Reduction Filter by Cryptorhythms Description A little filter to reduce lag on any time series data. Here we use an EMA to demonstrate how it works, but you could use it in many different ways/appications. This method can cause overshoot if you get too aggressive with the "lagReduce" setting. In this case lower the lagReduce variable. 👍 We...

DonovanWall

This is an experimental study designed to identify underlying price activity using a series of Laguerre Filters. Two different modes are included within this script: -Ribbon Mode - A ribbon of 18 Laguerre Filters with separate Gamma values is calculated. -Band Mode - An average of the 18 filters generates the basis line. Then, Golden Mean ATR over the specified...

alexgrover

Removing irregular variations in the closing price remain a major task in technical analysis, indicators used to this end mostly include moving averages and other kind of low-pass filters. Understanding what kind of variations we want to remove is important, irregular (noisy) variations have mostly a short term period, fully removing them can be complicated if the...

alexgrover

Introduction Winning trades and gaining profits in trading is not impossible, however having gross profits superior to gross losses is what make trading challenging, it is logical to think that it is better to open a position when the probability of winning the trade is high, such probability can’t be measured with accuracy but a lot of metrics have been...

LazyBear

Roofing filters, first discussed by Mr.John Ehlers, act as a passband, filtering out unwanted noise from market data and accentuating turning points. I have included 2 indicators with filters enabled. Both support double smoothing via options page. All the parameters are configurable. Info on Roofing Filter and Ehlers Super...

DonovanWall

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...