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Ehlers Cyber Cycle [CC]The Cyber Cycle was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 34) and this is one of my favorite Ehlers indicators. I use it personally for exits but it has several uses. It gives great entry and exit signals when you enter when it is at the bottom or at the very top during a cycle. When it is above 0 then the stock is in a strong uptrend and when it is below 0 then the stock is in a strong downtrend. It is also very reactive as well with zero lag according to Ehlers. Buy when the indicator line is green and sell when it is red. Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Penunjuk Pine Script™
oleh cheatcountry
4
Ehlers Sinewave Indicator V2 [CC]The Sinewave Indicator was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 154-155) and this is an updated version of his original Sinewave Indicator which in my opinion seems to be more reactive to changes. Buy when the blue line crosses over the red line and sell when the blue line crosses under the red line. Also keep in mind that this indicator is based on cycles so it won't act the same as a typical indicator. Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Penunjuk Pine Script™
oleh cheatcountry
7
Ehlers Spectrum Derived Filter Bank [CC]The Spectrum Derived Filter Bank was created by John Ehlers (Stocks & Commodities V. 26:3 (16-22)) and this is technically two indicators in one. This will let you know the current cycle period which is in blue and the other indicator will let you know if you should buy the stock or not. Buy when it is green and sell when it is red. Let me know if you would like me to publish other scripts or if you want something custom done! Note: I'm republishing this because the original script couldn't be found in searches so this will fix that.
Penunjuk Pine Script™
oleh cheatcountry
4
Ehlers Dominant Cycle Tuned Bypass Filter [CC]The Dominant Cycle Tuned Bypass Filter was created by John Ehlers (Stocks & Commodities V. 26:3 (16-22)) and this is a particularly unique indicator because this does a pretty good job at predicting the future stock movements. If the blue line crosses over the red then a few bars from now the stock price will most likely go up and if the blue line crosses below the red then a few bars from now the stock price should go down. Since this is such a unique indicator to use with entry and exit points, I don't have them color coded but try this out and let me know what you think. This was a special request so let me know what other scripts you would like to see me publish or if you want anything custom done! Note: I'm republishing this because the original script couldn't be found in searches so this will fix that.
Penunjuk Pine Script™
oleh cheatcountry
Ehlers Correlation Cycle IndicatorThe Correlation Cycle Indicator was created by John Ehlers (Stocks & Commodities V. 38:06 (8–15)) and this is technically part of three indicators in one so I'm splitting each one to a separate script. This particular indicator was designed for trend direction and trend strength and simply buy when it is green and sell when it turns red. Also keep in mind that the higher the indicator is above the signal then the stronger the trend and when they are close together, conditions get choppy. Let me know if you would like to see me publish other scripts or if you want something custom done!
Penunjuk Pine Script™
oleh cheatcountry
8
Grover Llorens Cycle Oscillator [alexgrover & Lucía Llorens]Cycles represent relatively smooth fluctuations with mean 0 and of varying period and amplitude, their estimation using technical indicators has always been a major task. In the additive model of price, the cycle is a component : Price = Trend + Cycle + Noise Based on this model we can deduce that : Cycle = Price - Trend - Noise The indicators specialized on the estimation of cycles are oscillators, some like bandpass filters aim to return a correct estimate of the cycles, while others might only show a deformation of them, this can be done in order to maximize the visualization of the cycles. Today an oscillator who aim to maximize the visualization of the cycles is presented, the oscillator is based on the difference between the price and the previously proposed Grover Llorens activator indicator. A relative strength index is then applied to this difference in order to minimize the change of amplitude in the cycles. The Indicator The indicator include the length and mult settings used by the Grover Llorens activator. Length control the rate of convergence of the activator, lower values of length will output cycles of a faster period. here length = 50 Mult is responsible for maximizing the visualization of the cycles, low values of mult will return a less cyclical output. Here mult = 1 Finally you can smooth the indicator output if you want (smooth by default), you can uncheck the option if you want a noisy output. The smoothing amount is also linked with the period of the rsi. Here the smoothing amount = 100. Conclusion An oscillator based on the recently posted Grover Llorens activator has been proposed. The oscillator aim to maximize the visualization of cycles. Maximizing the visualization of cycles don't comes with no cost, the indicator output can be uncorrelated with the actual cycles or can return cycles that are not present in the price. Other problems arises from the indicator settings, because cycles are of a time-varying periods it isn't optimal to use fixed length oscillators for their estimation. Thanks for reading ! If my work has ever been of use to you you can donate, addresses on my signature :)
Penunjuk Pine Script™
oleh alexgrover
4
Grover Llorens Activator [alexgrover & Lucía Llorens] Trailing stops play a key role in technical analysis and are extremely popular trend following indicators. Their main strength lie in their ability to minimize whipsaws while conserving a decent reactivity, the most popular ones include the Supertrend, Parabolic SAR and Gann Hilo activator. However, and like many indicators, most trailing stops assume an infinitely long trend, which penalize their ability to provide early exit points, this isn't the case of the parabolic SAR who take this into account and thus converge toward the price at an increasing speed the longer a trend last. Today a similar indicator is proposed. From an original idea of alexgrover & Lucía Llorens who wanted to revisit the classic parabolic SAR indicator, the Llorens activator aim to converge toward the price the longer a trend persist, thus allowing for potential early and accurate exit points. The code make use of the idea behind the price curve channel that you can find here : I tried to make the code as concise as possible. The Indicator The indicator posses 2 user settings, length and mult , length control the rate of convergence of the indicator, with higher values of length making the indicator output converge more slowly toward the price. Mult is also related with the rate of convergence, basically once the price cross the trailing stop its value will become equal to the previous trailing stop value plus/minus mult*atr depending on the previous trailing stop value, therefore higher values of mult will require more time for the trailing stop to reach the closing price, use higher values of mult if you want to avoid potential whipsaws. Above the indicator with slow convergence time (high length) and low mult. Points with early exit points are highlighted. Usage For Oscillators The difference between the closing price and an overlay indicator can provide an oscillator with characteristics depending on the indicators used for differencing, Lucía Llorens stated that we should find indicators for differencing that highlight the cycles in the price, in other terms : Price - Signal , where we want to find Signal such that we maximize the visibility of the cycles, it can be demonstrated that in the case where the closing price is an additive model : Trend + Cycles + Noise , the zero lag estimation of the Trend component can allow for the conservation of the cycle and noise component, that is : Price - Estimate(Trend) , for example the difference between the price and moving average isn't optimal because of the moving average lag, instead the use of zero lag moving averages is more suitable, however the proposed indicator allow for a surprisingly good representation of the cycles when using differencing. The normalization of this oscillator (via the RSI) allow to make the peak amplitude of the cycles more constant. Note however that such method can return an output with a sign inverse to the one of the original cycle component. Conclusion We proposed an indicator which share the logic of the SAR indicator, that is using convergence toward the price in order to provide early exit points detection. We have seen that this indicator can be used to highlight cycles when used for differencing and i don't exclude publishing more indicators based on this method. Lucía Llorens has been a great person to work with, and provided enormous feedback and support while i was coding the indicator, this is why i include her in the indicator name as well as copyright notice. I hope we can make more indicators togethers in the future. (altho i was against using buy/sells labels xD !) Thanks for reading !
Penunjuk Pine Script™
oleh alexgrover
42
Simple CycleIntroduction A simple and really clean cycle oscillator, in fact its quite precise even if the script use recursion which can sometime produce totally uncorrelated results. On The Code The calculations start with a who is a smoothing/averaging constant. Then comes src who is the input and is defined as the sum of the closing price with the output, then the output is high-pass filtered in b , after that the output is just the weighted average of the input change with b . All those recursions and detrending steps make the indicator able to highlights cycles.
Penunjuk Pine Script™
oleh alexgrover
1
Morphed Sine WaveIntroduction If you rescale a sine wave to the price you will need to correlate it with it in order to show good results, today i present a different method that does not involve correlation to "morph" a sine wave to the price in order to provide forecast's and highlight market periodic patterns. Parameters length control the period of the sine wave, power control the "morphing" amount, if you see for example that the results are going nuts try to increase power , if the results are just the price and the delayed price try to decrease power . power = 1 power = 100 Those settings might be different depending on which market you are in. Various Uses You can do a lot of things with this indicator, use filters as source : Use the indicator as source for oscillators in order to create cycles indicators : And certainly many more things Conclusion I presented a way to morph a sine wave to the price i order to highlight cycles. You can use any function that return a value between -1 and 1 instead of sin , this can be a scaled rsi/stochastic or correlation coefficient, its up to you :) If you need help don't hesitate to commend or pm me. I hope you will like the indicator and that it will inspire you to make great things. Thanks for reading !
Penunjuk Pine Script™
oleh alexgrover
17
Dominant Cycle Tuned RsiIntroduction Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters" , from the use of variable smoothing constant for exponential smoothing to artificial intelligence. The dominant cycle tuned rsi depend on the dominant cycle period of the market, such method allow the rsi to return accurate peaks and valleys levels. This indicator is an estimation of the cycle finder tuned rsi proposed by Lars von Thienen published in Decoding the Hidden Market Rhythm/Fine-tuning technical indicators using the dominant market vibration/2010 using the cycle measurement method described by John F.Ehlers in Cybernetic Analysis for Stocks and Futures . The following section is for information purpose only, it can be technical so you can skip directly to the The Indicator section. Frequency Estimation and Maximum Entropy Spectral Analysis “Looks like rain,” said Tom precipitously. Tom would have been a great weather forecaster, but market patterns are more complex than weather ones. The ability to measure dominant cycles in a complex signal is hard, also a method able to estimate it really fast add even more challenge to the task. First lets talk about the term dominant cycle , signals can be decomposed in a sum of various sine waves of different frequencies and amplitudes, the dominant cycle is considered to be the frequency of the sine wave with the highest amplitude. In general the highest frequencies are those who form the trend (often called fundamentals) , so detrending is used to eliminate those frequencies in order to keep only mid/mid - highs ones. A lot of methods have been introduced but not that many target market price, Lars von Thienen proposed a method relying on the following processing chain : Lars von Thienen Method = Input -> Filtering and Detrending -> Discrete Fourier Transform of the result -> Selection using Bartels statistical test -> Output Thienen said that his method is better than the one proposed by Elhers. The method from Elhers called MESA was originally developed to interpret seismographic information. This method in short involve the estimation of the phase using low amount of information which divided by 360 return the frequency. At first sight there are no relations with the Maximum entropy spectral estimation proposed by Burg J.P. (1967). Maximum Entropy Spectral Analysis. Proceedings of 37th Meeting, Society of Exploration Geophysics, Oklahoma City. You may also notice that these methods are plotted in the time domain where more classic method such as : power spectrum, spectrogram or FFT are not. The method from Elhers is the one used to tune our rsi. The Indicator Our indicator use the dominant cycle frequency to calculate the period of the rsi thus producing an adaptive rsi . When our adaptive rsi cross under 70, price might start a downtrend, else when our adaptive rsi crossover 30, price might start an uptrend. The alpha parameter is a parameter set to be always lower than 1 and greater than 0. Lower values of alpha minimize the number of detected peaks/valleys while higher ones increase the number of those. 0.07 for alpha seems like a great parameter but it can sometimes need to be changed. The adaptive indicator can also detect small top/bottoms of small periods Of course the indicator is subject to failures At the end it is totally dependent of the dominant cycle estimation, which is still a rough method subject to uncertainty. Conclusion Tuning your indicator is a great way to make it adapt to the market, but its also a complex way to do so and i'm not that convinced about the complexity/result ratio. The version using chart background will be published separately. Feel free to tune your indicators with the estimator from elhers and see if it provide a great enhancement :) Thanks for reading ! References for the calculation of the dominant cycle estimator originally from www.davenewberg.com Decoding the Hidden Market Rhythm (2010) Lars von Thienen Ehlers , J. F. 2004 . Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading . Wiley
Penunjuk Pine Script™
oleh alexgrover
7
Ehlers Triple Delay-Line DetrenderThis indicator was originally developed by John F. Ehlers (Stocks & Commodities , V.18:7 (July, 2000): "Optimal Detrending"). Mr. Ehlers applied the ideas of the radar systems for the financial time series detrending. Mr. Ehlers constructed the Triple Delay-Line Canceller first, then smoothed it with the Modified Optimum Elliptic Filter with minimal lag. The smoothed detrended signal is smoothed again with the Modified Optimum Elliptic Filter to obtain signal line. As result, the crossings of the two indicator lines catch every major cyclic move and the detrender itself can be used as the first step in more sophisticated analyses.
Penunjuk Pine Script™
oleh everget
3
Recursive StochasticThe Self Referencing Stochastic Oscillator The stochastic oscillator bring values in range of (0,100). This process is called Feature scaling or Unity-Based Normalization When a function use recursion you can highlights cycles or create smoother results depending on various factors, this is the goal of a recursive stochastic. For example : k = s(alpha*st+(1-alpha)*nz(k )) where st is the target source. Using inputs with different scale level can modify the result of the indicator depending on which instrument it is applied, therefore the input must be normalized, here the price is first passed through a stochastic, then this result is used for the recursion. In order to control the level of the recursion, weights are distributed using the alpha parameter. This parameter is in a range of (0,1), if alpha = 1, then the indicator act as a normal stochastic oscillator, if alpha = 0, then the indicator return na since the initial value for k = 0. The smaller the alpha parameter, the lower the correlation between the price and the indicator, but the indicator will look more periodic. Comparison Recursive Stochastic oscillator with alpha = 0.1 and bellow a classic oscillator (alpha = 1) The use of recursion can both smooth the result and make it more reactive as well. Filter As Source It is possible to stabilize the indicator and make it less affected by outliers using a filter as input. Lower alpha can be used in order to recover some reactivity, this will also lead to more periodic results (which are not inevitably correlated with price) Hope you enjoy For any questions/demands feel free to pm me, i would be happy to help you
Penunjuk Pine Script™
oleh alexgrover
2
Bollinger Breaks and Cycles Indicator - JDThe BBC indicator shows price in relation to the upper (in red) and lower (in green) Bollinger Bands It highlights breaks in the Bands, where the 0-line represents a price equal to the band. These breaks can either be used as take-profit points or as entry points, depending on trend direction. Entries can be at the beginning of a break (eg. for impulse or continuation moves) or at the end (mostly for expected trend reversals) To find the best setups, the BBC should be accompanied by other indicators (preferably ones that focus on different aspects) The oscilating line in the middle indicates market cycles JD. #NotTradingAdvice #DYOR
Penunjuk Pine Script™
oleh Duyck
4
DFT - Dominant Cycle Period 8-50 bars - John EhlerThis is the translation of discret cosine tranform (DCT) usage by John Ehler for finding dominant cycle period (DC). The price is first filtered to remove aliasing noise(bellow 8 bars) and trend informations(above 50 bars), then the power is computed. The trick here is to use a normalisation against the maximum power in order to get a good frequency resolution. Current limitation in tradingview does not allow to display all of the periods, still the DC period is plot after beeing computed based on the center of gravity algo. The DC period can be used to tune all of the indicators based on the cycles of the markets. For instance one can use this (DC period)/2 as an input for RSI. Hope you find this of some interrest.
Penunjuk Pine Script™
oleh littlebigcrypt
4