Multi-Instantaneous Frequency MeasurementI compiled all of Ehlers' IFM methods into one script - all written as functional blocks so you can simply add them to your own scripts.
Bonus! I also dropped in the Super Smoother, which is a much more efficient and low lag averaging method. I used it to clean the data before feeding it into other indicators.
Ehlers
Robust Cycle Measurement [Ehlers]The last of Ehlers Instantaneous Frequency Measurement methods.
This is a more robust version of this script.
I wrote it as a function, so you can simply copy and paste it into any script to add an adaptive period setting capability.
Cheers,
DasanC
Adaptive Zero Lag EMA [STUDY]A user has asked for the Study/Indicator version of this Strategy .
If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator
The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!)
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA ( ZLEMA ) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs ( EURUSD , GBPJPY , AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method. If you want to leave it Off, then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor ( PF ) and drawdown.
4. Now, begin incrementing threshold. The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period, then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
(1)www.mesasoftware.com
(2)www.jamesgoulding.com
(3) Cosine IFM
(4) I-Q IFM
(5) Averaging IFM
IFM stands for Instantaneous frequency measurement
Adaptive Zero Lag EMA v2This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online!
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs (EURUSD, GBPJPY, AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method . If you want to leave it Off , then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor (PF) and drawdown.
4. Now, begin incrementing threshold . The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source ! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period , then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
PS - This code doesn't repaint or have future-leak, which was present in Pinescript v2.
PPS - Believe me! These returns are typical! Sometimes you must push aside the "if it's too good to be true..." mindset that society has ingrained in you.
Do you really believe the most successful pass up opportunities before investigating them? ;)
(1) Ehlers & Ric Zero Lag EMA
(2) Measuring Cycles by Ehlers
(3) Cosine IFM
(4) Inphase Quadrature IFM
(5) Averaging IFM
Cosine, In-Phase & Quadrature IFM [Ehlers]Yet another method for determining the cycle of a market: this time, you have access to the two fastest and most accurate methods
as well as the option to average these methods together.
The controls are pretty straight forward:
Source lets you select the price data to perform calculations on (close, open, etc..)
Max Period is simply the cap for the algorithm when it's checking the validity of Periods.
-> If you notice your plots have a flat top, then increase this value to accept a wider range of Periods.
-> This setting has a min. value of 8 to reduce noise and a max of 100 to ignore waves from higher time frames.
Average? simply averages the two methods of calculation.
-> You may want to do this if you notice the two plots diverging a lot.
-> Cosine IFM tends to favor shorter periods; I-Q IFM tends to favor longer.
Cheers,
- DasanC
Adaptive Bandpass Filter [Ehlers]This is my latest bandpass filter - used to determine if a security is in a trend or cycle.
Now with an adaptive period setting! I use Ehlers in-phase & quadrature dominant cycle measurement (IQ IFM) method to set the period dynamically.
This method favors longer periods which tend to produce smoother, albeit laggier bandpass oscillator plots. From my quick tests, I tend to have lag between 4 and 8 bars, depending on the Timeframe.
The lower timeframes tend to have more noise and thus produce more interfering frequencies that may cause lag.
>Settings
Source: Select the data source to perform calc's on (close, open, etc...)
Period: Select the period to tune. Periods outside of this value will be attenuated (reduced)
Adaptive: Enable to have the I-Q IFM set the period for you (disables Period setting)
Bandpass Tolerance: Allow periods that are plus/minus the chosen period to pass.
Cycle Tolerance: Sensitivity of cycle mode. Lower values consider trends more frequent, higher values consider cycles more frequent.
Bandpass tolerance example: for instance, if this setting is 0.1 (10%) and Period is set to 20, then waves with a period of 18 - 22 will pass.
>How to read
Red line is the bandpass output, showing a lagged version of the dominant cycle representing the
Black lines are the upper and lower bounds for a cycle
Green Background indicates an uptrend
Red background indicates a downtrend
Adaptive Zero Lag EMA Strategy [Ehlers + Ric]Behold! A strategy that makes use of Ehlers research into the field of signal processing and wins so consistently, on multiple time frames AND on multiple currency pairs.
The Adaptive Zero Lag EMA (AZLEMA) is based on an informative report by Ehlers and Ric .
I've modified it by using Cosine IFM, a method by Ehlers on determining the dominant cycle period without using fast-Fourier transforms
Instead, we use some basic differential equations that are simplified to approximate the cycle period over a 100 bar sample size.
The settings for this strategy allow you to scalp or swing trade! High versatility!
Since this strategy is frequency based, you can run it on any timeframe (M1 is untested) and even have the option of using adaptive settings for a best-fit.
>Settings
Source : Choose the value for calculations (close, open, high + low / 2, etc...)
Period : Choose the dominant cycle for the ZLEMA (typically under 100)
Adaptive? : Allow the strategy to continuously update the Period for you (disables Period setting)
Gain Limit : Higher = faster response. Lower = smoother response. See for more information.
Threshold : Provides a bit more control over entering a trade. Lower = less selective. Higher = More selective. (range from 0 to 1)
SL Points : Stop Poss level in points (10 points = 1 pip)
TP Points : Take Profit level in points
Risk : Percent of current balance to risk on each trade (0.01 = 1%)
www.mesasoftware.com
www.jamesgoulding.com(Measuring%20Cycles).doc
In-Phase & Quadrature IFMThis indicator provides a continuous measurement of a securities' dominant cycle period, based on Ehlers ever-impressive reports and analysis tools.
This method uses in-phase and quadrature analysis, making use of the imaginary domain. This method is prone to favor longer periods and can
allow noise to greatly affect the end result.
>What does that even mean?
Essentially, you get a real-time (low lag) plot of the cycle period in bars. If the I-Q IFM reads "16" then you can expect the distance between swing highs and swing lows to be approx. 16 bars.
>How is this useful?
When you throw an RSI or MACD on your chart, you can now set the "Period" or "Length" value with confidence.
Knowing the dominant cycle period tells you that price reversal will occur around these intervals.
>Extending.
The better way to use this tool is by extending the script into any indicators that use a length or period that is set manually.
Simply use the "len" variable in your custom script to replace your input values.
Now you have a way to adaptively set the period value, using signal processing theory instead of just intuition ;)
PM if you have questions.
Cosine IFM [Ehlers]This indicator provides a continuous measurement of a securities' dominant cycle period, based on Ehlers ever-impressive reports and analysis tools.
>What does that even mean?
Essentially, you get a real-time (low lag) plot of the cycle period in bars. If the COS IFM reads "16" then you can expect the distance between swing highs and swing lows to be approx. 16 bars.
>How is this useful?
When you throw an RSI or MACD on your chart, you can now set the "Period" or "Length" value with confidence.
Knowing the dominant cycle period tells you that price reversal will occur around these intervals.
>Extending.
The better way to use this tool is by extending the script into any indicators that use a length or period that is set manually.
Simply use the "len" variable in your custom script to replace your input values.
Now you have a way to adaptively set the period value, using signal processing theory instead of just intuition ;)
PM if you have questions.
Profitable Moving Average CrossoverHi everyone!
Introduction
A popular use for moving averages is to develop simple trading systems based on moving average crossovers. A trading system using two moving averages would give a buy signal when the shorter (faster) moving average advances above the longer (slower) moving average. A sell signal would be given when the shorter moving average crosses below the longer moving average. The speed of the systems and the number of signals generated will depend on the length of the moving averages.
There are many types of averages that are based on different techniques. Each type has its drawbacks and merits. And if we decide to choose a certain type of average for the trading system, then how do we know that our choice is optimal?
What is this tool?
This tool will help you to choose this type to create the most profitable trading system based on crossovers for the specified periods. It backtests pairs of each type throughout the whole instrument's history and shows Net Profit curves as a result. So, the type of the most profitable crossover system will be at the top of list of labels on the chart. (Click on the price scale, point to "Labels" and switch off "No Overlapping Labels" option).
Settings
The main settings are periods for each type pair of fast and slow moving averages.
Additionally, it allows to customize some multi-parametric moving averages such as JMA, ALMA, McGinley Dynamic, Adaptive Laguerre Filter etc.
1st Period (default: 14 )
2nd Period (default: 50 )
1st ALF Median Length (default: 5 )
2nd ALF Median Length (default: 5 )
1st ALMA Offset (default: 0.85 )
1st ALMA Sigma (default: 6 )
2nd ALMA Offset (default: 0.85 )
2nd ALMA Sigma (default: 6 )
1st HF Scaling Factor (default: 3 )
2nd HF Scaling Factor (default: 3 )
1st JMA Phase (default: 50 )
2nd JMA Phase (default: 50 )
1st MD Constant (default: 0.6 )
2nd MD Constant (default: 0.6 )
1st MHLMA Range (default: 10 )
2nd MHLMA Range (default: 10 )
1st PWMA Power (default: 2 )
2nd PWMA Power (default: 2 )
1st REMA Lambda (default: 0.5 )
2nd REMA Lambda (default: 0.5 )
1st RMF Median Length (default: 5 )
2nd RMF Median Length (default: 5 )
1st T3 Alpha (default: 0.7 )
2nd T3 Alpha (default: 0.7 )
MAMA & FAMA Fast Limit (default: 0.5 )
MAMA & FAMA Slow Limit (default: 0.05 )
Supported types of averages and filters (use short titles to match averages on the chart)
AHMA , Ahrens MA (by Richard D. Ahrens)
ALMA , Arnaud Legoux MA (by Arnaud Legoux and Dimitris Kouzis-Loukas)
ALF , Adaptive Laguerre Filter (by John F. Ehlers)
ARSI , Adaptive RSI
BF2 , Butterworth Filter with 2 poles
BF3 , Butterworth Filter with 3 poles
DEMA , Double Exponential MA (by Patrick G. Mulloy)
DWMA , Double Weighted (Linear) MA
EDCF , Ehlers Distance Coefficient Filter (by John F. Ehlers)
EHMA , Exponential Hull MA
EMA , Exponential MA
EVWMA , Elastic Volume Weighted MA (by Christian P. Fries)
FRAMA , Fractal Adaptive MA (by John F. Ehlers)
GF1 , Gaussian Filter with 1 pole
GF2 , Gaussian Filter with 2 poles
GF3 , Gaussian Filter with 3 poles
GF4 , Gaussian Filter with 4 poles
HFSMA , Hampel Filter on Simple Moving Average
HFEMA , Hampel Filter on Exponential Moving Average
HMA , Hull MA (by Alan Hull)
HWMA , Henderson Weighted MA (by Robert Henderson)
IDWMA , Inverse Distance Weighted MA
IIRF , Infinite Impulse Response Filter (by John F. Ehlers)
JMA , Jurik MA (by Mark Jurik, )
LF , Laguerre Filter (by John F. Ehlers)
LMA , Leo MA (by ProRealCode' user Leo)
LSMA , Least Squares MA (Moving Linear Regression)
MAMA & FAMA , (by John F. Ehlers, special case that used as a benchmark)
MD , McGinley Dynamic (by John R. McGinley)
MHLMA , Middle-High-Low MA (by Vitali Apirine)
PWMA , Parabolic Weighted MA
REMA , Regularized Exponential MA (by Chris Satchwell)
RMA , Running MA (by J. Welles Wilder)
RMF , Recursive Median Filter (by John F. Ehlers)
RMTA , Recursive Moving Trend Average (by Dennis Meyers)
SHMMA , Sharp Modified MA (by Joe Sharp)
SMA , Simple MA
SSF2 , Super Smoother Filter with 2 poles (by John F. Ehlers)
SSF3 , Super Smoother Filter with 3 poles (by John F. Ehlers)
SWMA , Sine Weighted MA
TEMA , Triple Exponential MA (by Patrick G. Mulloy)
TMA , Triangular MA (generalized by John F. Ehlers)
T3 , (by Tim Tillson)
VIDYA , Variable Index Dynamic Average (by Tushar S. Chande)
VWMA , Volume Weighted MA (by Buff P. Dormeier)
WMA , Weighted (Linear) MA
ZLEMA , Zero Lag Exponential MA (by John F. Ehlers and Ric Way)
NOTE : The results may vary on different tickers and timeframes.
If you see the preview result it doesn't mean that these crossovers will be profitable on other instruments and timeframes. This is a normal situation because time series and their characteristics differ.
I know that because I tested this tool before publishing.
NOTE 2 : You can use this tool by yourself and experiment with it, or you can order a study and I will share the spreadsheet that contains results with you.
Good luck!
MAMA by EHLERSMESA Adaptive Moving Average aka: Mother of Adaptive Moving Averages:
The MESA Adaptive Moving Average ( MAMA ) adapts to price movement in an
entirely new and unique way. The adapation is based on the rate change of phase as
measured by the Hilbert Transform Discriminator I have previously described.1
The advantage of this method of adaptation is that it features a fast attack average and a
slow decay average so that composite average rapidly ratchets behind price changes
and holds the average value until the next ratchet occurs. The action of MAMA is
shown in Figure 1. Since the average fallback is slow I can build trading systems that
are virtually free of whipsaw trades.
For detailed information of MAMA: (creators' PDF document)
www.mesasoftware.com
Long condition: when MAMA Crosses over FAMA (Following Adaptive Moving Average )
Short condition: when FAMA Crosses over MAMA
(Personally modified LazyBear's version which was originally calculated in degrees instead of radian by applying explanations in the MESA pdf document.http://www.mesasoftware.com/papers/MAMA.pdf)
Creator: John EHLERS
Moving Average Smoothness BenchmarkHey there!
This tool will help you to choose a moving average/filter that has the lowest lag throughout the whole history for the specified period.
What does it do?
It calculates the mean absolute errors for each moving average or filter and shows histogram with results. The lower error the lower lag of the moving average.
So, the best average will be at the end of the list of labels on the chart.
Settings
The main setting is a period for all moving averages.
Additionally, it allows to customize some multi-parametric moving average such as JMA, ALMA, McGinley Dynamic, Tillson's T3, REMA, Adaptive Laguerre Filter, Hampel Filter, Recursive Median Filter and Middle-High-Low MA.
NOTE : The results may vary on the different tickers and timeframes. This tool measures the performances on the current ticker and on the current timeframe.
Supported averages/filters (use short titles to match movings on the chart)
SMA, Simple MA
EMA, Exponential MA
WMA, Weighted (Linear) MA
RMA, Running MA (by J. Welles Wilder)
VWMA, Volume Weighted MA (by Buff P. Dormeier)
AHMA, Ahrens MA (by Richard D. Ahrens)
ALMA, Arnaud Legoux MA (by Arnaud Legoux and Dimitris Kouzis-Loukas)
ALF, Adaptive Laguerre Filter (by John F. Ehlers)
ARSI, Adaptive RSI
DEMA, Double Exponential MA (by Patrick G. Mulloy)
EDCF, Ehlers Distance Coefficient Filter (by John F. Ehlers)
EVWMA, Elastic Volume Weighted MA (by Christian P. Fries)
FRAMA, Fractal Adaptive MA (by John F. Ehlers)
HFSMA, Hampel Filter on Simple Moving Average
HFEMA, Hampel Filter on Exponential Moving Average
HMA, Hull MA (by Alan Hull)
HWMA, Henderson Weighted MA (by Robert Henderson)
IIRF, Infinite Impulse Response Filter (by John F. Ehlers)
JMA1, Jurik MA with power of 1 (by Mark Jurik)
JMA2, Jurik MA with power of 2 (by Mark Jurik)
JMA3, Jurik MA with power of 3 (by Mark Jurik)
JMA4, Jurik MA with power of 4 (by Mark Jurik)
LF, Laguerre Filter (by John F. Ehlers)
LMA, Leo MA (by ProRealCode' user Leo)
LSMA, Least Squares MA (Moving Linear Regression)
MD, McGinley Dynamic (by John R. McGinley)
MHLMA, Middle-High-Low MA (by Vitali Apirine)
REMA, Regularized Exponential MA (by Chris Satchwell)
RMF, Recursive Median Filter (by John F. Ehlers)
RMTA, Recursive Moving Trend Average (by Dennis Meyers)
SHMMA, Sharp Modified MA (by Joe Sharp)
SWMA, Sine Weighted MA
TEMA, Triple Exponential MA (by Patrick G. Mulloy)
TMA, Triangular MA
T3, (by Tim Tillson)
VIDYA, Variable Index Dynamic Average (by Tushar S. Chande)
ZLEMA, Zero Lag Exponential MA (by John F. Ehlers and Ric Way)
BF2, Butterworth Filter with 2 poles
BF3, Butterworth Filter with 3 poles
SSF2, Super Smoother Filter with 2 poles (by John F. Ehlers)
SSF3, Super Smoother Filter with 3 poles (by John F. Ehlers)
GF1, Gaussian Filter with 1 pole
GF2, Gaussian Filter with 2 poles
GF3, Gaussian Filter with 3 poles
GF4, Gaussian Filter with 4 poles
Good luck and Merry Christmas!
🚀Ehler's RocketRSI by Cryptorhythms🚀Ehler's RocketRSI by Cryptorhythms
This indicator does require some tinkering in cases to line up the waveforms. Here on the 4Hr I have used an RSI LB of 14 and SSF LB of 10.
Personally I find its better at picking short entries when the indicator is topping out. For bottoms it a bit less effective.
I do not use this indicator by itself, but rather as another tool when looking for short entries.
Description
The RocketRSI is an indicator that combines the approach used in the calculation of the Relative Strength Index (RSI) with some principles of signal processing and was developed by John Ehler. By smoothing out noisy price data and singling out a cyclic component within it, the indicator can be used for analysis of cyclic reversals, which could potentially signal trading
opportunities.
The calculation of the RocketRSI is as follows:
A close price change (momentum) from a past value is found for each bar. The offset between the current and the past price is constant.
The values found are run through Ehler
s 3-Pole SuperSmootherFilter to eliminate the noise.
The algebraic sum of one-bar changes in the filtered values is divided by the sum of absolute values of the same changes. The output of this step is limited to be in the range from -0.999 to +0.999.
The result is run through the Fisher transform to provide a easily interpreted wave-like output.
If there is a dominant cycle in the input data and the lengths are set correctly, the analysis of peaks and troughs of the output wave may provide valuable sell and buy signals.
👍Enjoying this indicator or find it useful? Please give me a like and follow! I post crypto analysis, price action strategies and free indicators regularly.
💬Questions? Comments? Want to get access to an entire suite of proven trading indicators? Come visit us on telegram and chat, or just soak up some knowledge. We make timely posts about the market, news, and strategy everyday. Our community isnt open only to subscribers - everyone is welcome to join.
🥢Crypto-Sticks: Ehler's Universal Oscillator by Cryptorthyhms🥢Crypto-Sticks™: Ehler's Ultimate Oscillator
A new series of indicators brought to you by Cryptorthyhms...giving you an alternate look at your trusted favorites! Follow me, there are still 2 dozen Crypto-Sticks indicators planned - all will be released in public library.
🚀Indicator Specific Info
New Crypto-Sticks option is an EMA of the average signal line output. Eventually I will go back and update the previous indicators with this feature as well!
Heiken Ashi candles (default) adds some more clear trend changing points. HA example here:
Volume weighting the HA candles adds a different dimension to the indicator which I have to explore more fully. VW does work somewhat on this indicator, skewing output but also adding (too much in my opinion) noise. An example of VW+HA:
💭Please leave me any ideas or feedback you have!
🚫If you use volume weighting you should be on heiken candles.
🚀Crypto-Sticks General Info
🚧This series isnt polished 100%, and I have some more options I will add in the future. But for now, I want to just release them, as I am not sure when I will have the time to put more work into them (many other big projects I am working on).
📊Its basically reinterpretations of all your favorite indicators. I calculate the values a little bit differently than normal, but the end result is creating a candlestick chart (for the indicator!). Then I added the option to plot them as Heiken Ashi candles to smooth out noise and make signaling easier. I recommend using the indicator on this setting.
🔊Lastly I implemented a Volume Weighting system for them all which simply integrates volume into the formulas for these indicators. For the most part this feature is experimental and doesn't provide huge utility (yet - I have other ways I want to try it as well - just no time). Though on some of the indicators it already shows great promise.
👍Enjoying this indicator or find it useful? Please give me a like and follow! There are many more indicators to be released in this series, not to mention I post crypto analysis and other free indicators regularly.
💬Questions? Comments? Want to get access to an entire suite of proven trading indicators? Come visit us on telegram and chat, or just soak up some knowledge. We make timely posts about the market, news, and strategy everyday. Our community isnt open only to subscribers - everyone is welcome to join.
Crypto-Sticks: Ehler's Adaptive Cyber Cycle by Cryptorthyhms🥢 Crypto-Sticks™: Ehler's Adaptive Cyber Cycle
A new series of indicators brought to you by Cryptorthyhms...giving you an alternate look at your trusted favorites! Follow me, there are still 2 dozen Crypto-Sticks indicators planned - all will be released in public library.
🚀 Indicator Specific Info
🐻Thanks to Lazybear for posting the original EACC code I updated to create this indicator! (give that man a follow/ thumbsup, hes a legend!)
New Crypto-Sticks option is an EMA of the average signal line output. Eventually I will go back and update the previous indicators with this feature as well!
⛔Please remember that this indicator is ADAPTIVE. The overbought and oversold ranges do not correspond to specific values. This does make it a bit harder to signal with, but its a great indicator nonetheless.
Heiken Ashi candles (default) adds some more clear trend changing points.
Volume weighting the HA candles adds a different dimension to the indicator which I have to explore more fully. VW does work okay on this indicator, skewing output but also adding some noise. An example of VW+HA:
💭Please leave me any ideas or feedback you have!
🚫If you use volume weighting you should be on heiken candles.
🚀Crypto-Sticks General Info
🚧This series isnt polished 100%, and I have some more options I will add in the future. But for now, I want to just release them, as I am not sure when I will have the time to put more work into them (many other big projects I am working on).
📊Its basically reinterpretations of all your favorite indicators. I calculate the values a little bit differently than normal, but the end result is creating a candlestick chart (for the indicator!). Then I added the option to plot them as Heiken Ashi candles to smooth out noise and make signaling easier. I recommend using the indicator on this setting.
🔊Lastly I implemented a Volume Weighting system for them all which simply integrates volume into the formulas for these indicators. For the most part this feature is experimental and doesn't provide huge utility (yet - I have other ways I want to try it as well - just no time). Though on some of the indicators it already shows great promise.
👍Enjoying this indicator or find it useful? Please give me a like and follow! There are many more indicators to be released in this series, not to mention I post crypto analysis and other free indicators regularly.
💬Questions? Comments? Want to get access to an entire suite of proven trading indicators? Come visit us on telegram and chat, or just soak up some knowledge. We make timely posts about the market, news, and strategy everyday. Our community isnt open only to subscribers - everyone is welcome to join.
Trader Set - CCI Slope ComboThis is an oscillator that I was doing R&D for developing it, it took near three weeks. If you ever use Super CCI and keep it side by side with slope oscillator, in more than few cases, day in day out, you would find that both of them show similarities. These similarities suggest that there should be a way to combine these two and get a unique indicator that would do both jobs at the same time without the complexity of CCI and WITH simplicity of Slope!
The answer for the R&D was in ehlers books. Well, not the formulas he gave to the world but the concept! Here is a combination behavior of CCI and Slope, if you ever drop ehlers Universal Oscillator near this, you would see where the concept came but they are totally different in look and behavior.
Please don't contact me for access. This is part of my personal methodology that I teach to my students and soon, the English section of my website will be ready with English course for the methodology. When the course is ready I will announce it under every related indicator and those who participate will have access to these indicators.
Ehlers Distance Coefficient FilterThis indicator was described by John F. Ehlers in his book "Rocket Science for Traders" (2001, Chapter 18: Ehlers Filters).
Ehlers Smoothed Adaptive MomentumEhlers Smoothed Adaptive Momentum script.
This indicator was developed and described by John F. Ehlers in his book "Cybernetic Analysis for Stocks and Futures" (2004, Chapter 12: Adapting to the Trend).
Ehlers Instantaneous TrendlineEhlers Instantaneous Trendline script.
This indicator was described by John F. Ehlers in his book "Rocket Science for Traders" (2001, Chapter 10: The Instantaneous Trendline).
Butterworth FilterButterworth Filter script.
This indicator was described by John F. Ehlers in his book "Rocket Science for Traders" (2001, Chapter 15: Infinite Impulse Response Filters).
Gaussian FilterGaussian Filter script.
This indicator was described by John F. Ehlers in his book "Rocket Science for Traders" (2001, Chapter 15: Infinite Impulse Response Filters).
Missile RSI (RSI of momentum w/ Dominant Cycle length + Fisher)This is a predictive indicator that looks for explosions in momentum of the cycles in price and large shifts in Momentum (Fisher turns the Bimodal PDF into Guassian like) as statistically unlikely events, showing points to exit or reverse positions.
You can adjust the lowpass frequency cuttoff (Aka what cycles you want to remove from the calculations through the super smoother filter).
To be honest you can monkey trade the direction of the Signal if you'd like but the Divergences and Maxing of the values is whats most useful.
Let me know if you guys want me to add anything else.
Oscillators EqualizerAn oscillator of the oscillators. This is one of my private indicators that implements a quantitative approach: it collects readings from internal oscillators and calculates scores for the selected metric.
Features
46 well-known oscillators
6 metrics ( Bands Breakouts , Overbought/Oversold , Above/Below Middle Line , Middle Line Crossovers , Above/Below Signal Line , Signal Line Crossovers )
Oscillators customization
Implemented oscillators
Relative Strength Index (by J. Welles Wilder)
Chande Momentum Oscillator (by Tushar S. Chande)
Intraday Momentum Index (by Tushar S. Chande)
Stochastic RSI (by Tushar S. Chande and Stanley Kroll)
Aroon Oscillator (by Tushar S. Chande)
R-Squared Index (by Tushar S. Chande and Stanley Kroll)
Forecast Oscillator (by Tushar S. Chande)
Relative Momentum Index (by Roger Altman)
Moving Average Convergence/Divergence (by Gerald Appel)
Connors RSI (by Larry Connors)
Rapid RSI (by Ian Copsey)
Relative Spread Strength (by Ian Copsey)
Vortex Indicator (by Etienne Botes and Douglas Siepman)
Random Walk Index (by Michael Poulos)
True Strength Index (by William Blau)
Stochastic Momentum Index (by William Blau)
Ergodic Oscillator (by William Blau)
Smoothed Rate Of Change (by Fred G. Schutzman)
TRIX (by Jack Hutson)
Pretty Good Oscillator (by Mark Johnson)
Choppiness Index (by Bill Dreiss)
Tick Line Momentum Oscillator (by Daniel E. Downing)
Price Momentum Oscillator
Relative Volatility Index (by Donald Dorsey)
Trend Trigger Factor (by M. H. Pee)
Trend Intensity Index (by M. H. Pee)
Trend Detection Index (by M. H. Pee)
Trend Continuation Factor (by M. H. Pee)
Relative Vigor Index (by John F. Ehlers)
Fisher Transform (by John F. Ehlers)
CG Oscillator (by John F. Ehlers)
Stochastic CG Oscillator (by John F. Ehlers)
Laguerre RSI (by John F. Ehlers)
Rocket RSI (by John F. Ehlers)
Recursive Median Oscillator (by John F. Ehlers)
Super Passband Filter (by John F. Ehlers)
Roofing Filter (by John F. Ehlers)
Ehlers Stochastic (by John F. Ehlers)
Fisherized Deviation-Scaled Oscillator (by John F. Ehlers)
Bollinger Bands %B (by John Bollinger)
Williams %R (by Larry Williams)
Ultimate Oscillator (by Larry Williams)
Money Flow Index (by Gene Quong and Avrum Soudack)
Commodity Channel Index (by Donald Lambert)
Ease of Movement (by Richard W. Arms)
Chaikin Money Flow (by Marc Chaikin)
