OPEN-SOURCE SCRIPT
Fisherized CCI
Diupdate
Introduction
This here is a non-repainting indicator where I use inverse Fisher transformation and smoothing on the well-known CCI (Commdity Channel Index) momentum indicator.
"The Inverse Fisher Transform" describes the calculation and use of the inverse Fisher transform by Dr . Ehlers in 2004. The transform is applied to any indicator with a known probability distribution function. It enables to transform an indicator signal into the range between +1 and -1. This can help to eliminate the noise of an indicator.
The CCI is an momentum indicator which describes the distance of the price to the average price.
For smoothing I used the Hann Window and NET (Noise Elimination Technique) methods.
Additional Features
Divergence Analysis
Trend-adaptive Histogram
Timeframe selection
Usage
It is usually used to spot potential trend reverals or mean-reversion (against the trend) trades on lower timeframes. IMO it can be even used to spot trend-following trades. It always depends on which settings you have, which timeframe do you use and which indicators you combine with it.
The suggested timeframe for this indicator is 15 min (with the length setting on 50).
The histogram with adaptive mode enabled could be used as filter applied on the buy and sell signals.
The divergence analysis can help to spot additional entries/exits or confirm the buy and sell signals.
Always try to find the best settings! This indicators has a lot of customization options you should take advantage of.
Signals
The indicator uses the following logic to generate the buy and sell signals:
Normal
Buy -> When CCI and MA go above the top band (usually +100) and cross
Sell -> When CCI and MA go below the the bottom band (usually -100) and cross
Fisherized
Buy -> When CCI and MA go above the the zero line and cross
Sell -> When CCI and MA go below the the zero line and cross
Have fun with the indicator! I am open for feedback and questions. :)
This here is a non-repainting indicator where I use inverse Fisher transformation and smoothing on the well-known CCI (Commdity Channel Index) momentum indicator.
"The Inverse Fisher Transform" describes the calculation and use of the inverse Fisher transform by Dr . Ehlers in 2004. The transform is applied to any indicator with a known probability distribution function. It enables to transform an indicator signal into the range between +1 and -1. This can help to eliminate the noise of an indicator.
The CCI is an momentum indicator which describes the distance of the price to the average price.
For smoothing I used the Hann Window and NET (Noise Elimination Technique) methods.
Additional Features
Divergence Analysis
Trend-adaptive Histogram
Timeframe selection
Usage
It is usually used to spot potential trend reverals or mean-reversion (against the trend) trades on lower timeframes. IMO it can be even used to spot trend-following trades. It always depends on which settings you have, which timeframe do you use and which indicators you combine with it.
The suggested timeframe for this indicator is 15 min (with the length setting on 50).
The histogram with adaptive mode enabled could be used as filter applied on the buy and sell signals.
The divergence analysis can help to spot additional entries/exits or confirm the buy and sell signals.
Always try to find the best settings! This indicators has a lot of customization options you should take advantage of.
Signals
The indicator uses the following logic to generate the buy and sell signals:
Normal
Buy -> When CCI and MA go above the top band (usually +100) and cross
Sell -> When CCI and MA go below the the bottom band (usually -100) and cross
Fisherized
Buy -> When CCI and MA go above the the zero line and cross
Sell -> When CCI and MA go below the the zero line and cross
Have fun with the indicator! I am open for feedback and questions. :)
Catatan Rilis
Updated timeframe-realted bugRemoved MA price source options
Added more signal modes and updated the old ones (if you like the old signal methods more tell me, now fisherized version uses not anymore the zero line for overbought/oversold determination)
Added trend detection (used for the new auto signal mode!) and plot
Added Kalman filter
Added more MAs to select
Fixed IFT CCI calculation bug
Catatan Rilis
Fixed wrong Hilbert Transform calculationCatatan Rilis
Renamed adaptive mode "Cycle Period" to "Median"Included "Adaptive" in title
Added new adaptive mode "Homodyne Discriminator"
Catatan Rilis
Fixed Inphase-Quadrature Transform calculationCatatan Rilis
Added long/short exit systemUpdated default values
Added tooltip to trend sensitivity
Added option to disable divergence line plot
Fixed smoothing by applying it on the raw price (before the indicator calculation)
Catatan Rilis
Restructured settings inputOptimized divergence colors (light purple -> bullish, dark purple -> bearish)
Optimized scaling and linewidth
Added alerts for long and short exits
Fixed missing exits bugs
Catatan Rilis
Just to update the wrong chart pictureCatatan Rilis
Fixed a plot bug when NET is enabledFixed a bug in the auto signal mode when NET is enabled
Made bands transparent
Normalized adaptive histogram to fit to the indicator
Catatan Rilis
Added additional exit signals for auto signal modeNow it exits long and short positions on switch to sidetrend too
Catatan Rilis
Updated trend follower signal mode Catatan Rilis
Sorted MA typesFixed wrong alert condition
Catatan Rilis
Removed COVWMA, because of very bad resultsUpdated default values
Fixed KAMA trend sensitivy determination
Added quicker exits when fisherization (IFT) is turned on
Catatan Rilis
Removed the MA types COVWMA and VIDYAFixed the bug: wrong volume used in VWMA calculation when another timeframe is selected
Renamed timeframe titles
Added new signal mode "Fast Overbought/Oversold" which instantly triggers when Overbought/Oversold area is reached
Catatan Rilis
Fixed bug where tr didn't use the custom timeframeCatatan Rilis
Added something to the bug fix beforeCatatan Rilis
Removed wrong Kalman filterCatatan Rilis
Removed 34 as max length of Homodyne DiscriminatorSkrip open-source
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