The theory that a Pi Cycle Top might exist in the Bitcoin price action isn't new, but recently I found someone who had done the math on developing a Pi Cycle Low indicator, also using the crosses of moving averages. The Pi Cycle Top uses the 2x350 Daily MA and the 111 Daily MA The Pi Cycle Bottom uses the 0.745x471 Daily MA and the 150 Daily EMA Note: a Signal...

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Library "FFTLibrary" contains a function for performing Fast Fourier Transform (FFT) along with a few helper functions. In general, FFT is defined for complex inputs and outputs. The real and imaginary parts of formally complex data are treated as separate arrays (denoted as x and y). For real-valued data, the array of imaginary parts should be filled with...

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Cyclic Smoothed Relative Strength Indicator The cyclic smoothed RSI indicator is an enhancement of the classic RSI , adding additional smoothing according to the market vibration, adaptive upper and lower bands according to the cyclic memory and using the current dominant cycle length as input for the indicator. The cRSI is used like a standard...

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Dear friends! I'm happy to present an implementation of the Fast Fourier Transform (FFT) algorithm. The script uses the FFT procedure to decompose the input time series into its cyclical constituents, in other words, its frequency components , and convert it back to the time domain with modified frequency content, that is, to filter it. Input Description and...

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Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in an Article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management Here comes a study to indicate the idea of this article, Price Distance to its Moving Averages...

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How to detect the current "market beat" or market cycle? A common way to capture the current dominant cycle length is to detrend the price and look for common rhythms in the detrended series. A common approach is to use a Detrended Price Oscillator (DPO). This is done in order to identify and isolate short-term cycles. A basic DPO description can be found...

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This indicator was originally developed by Doug Schaff in the 1990s (published in 2008).

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Introducing the Reverse BTC Pi Market Cycle Top indicator Much respect to Philip Swift the original creator of this idea and big thanks to Tradingview author Ninorigo for sharing the script which this indicator is based on. Philip Swift has noted that: Using the x2 multiple of the 350 day moving average along with the 111 day moving average provides an...

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This indicator will help you if you struggle making any profit in bitcoin. It generates very few signals with very nice profit potential ( around 100% this year ! ). Perfect tool for longterm swing traders and new traders that need help figuring out the midterm trend. Use it with these parameters only: weekly: 13, 5, 12 daily: 92, 21, 96

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The Schaff Trend Cycle is a method, developed by Doug Schaff and based on the concept that trends also have repeating high and low patterns, or cycles. This is a modified MACD line, run through a modified stochastic algorithm and smoothed with Wilders’ smoothing in order to estimate the final Schaff Trend Cycle (STC) indicator. Its purpose is to identify the...

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This daily trend indicator is based on financial astrology cycles detected with advanced machine learning techniques for the crypto-currencies research portfolio: ADA, BAT, BNB, BTC, DASH, EOS, ETC, ETH, LINK, LTC, XLM, XMR, XRP, ZEC and ZRX. The daily price trend is forecasted through this planets cycles (angular aspects, speed, declination), fast ones are based...

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Introduction 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...

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Reverse formulated what the closed source version is and releasing open source publicly to give back to the community. If you have any questions feel free to join our Discord!

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Astrology machine learning cycles indicator signals with technical MAs indicators strategy, based on signals index of Github project github.com

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Relative Vigor Index with Dominant Cycle Detection. As Ehler's mentioned, fixed length look back is inherently flawed when it is possible to extract a length from a dominant price cycle. may be less effective if signal to noise ratio is greater than 2, but that usually would not happen at >5m candles, and honestly shouldn't be looking at RV(igor)I when price is...

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Mercury energy influence the mind, the intellect and mental temperament, in mundane astrology is well know that rules: news, science, debating, trading, commerce, contracts. telecommunication, short-distance travels, among others. W. D. Gann discovered that the Mercury speed phases (stationary, retrograde, direct) transitions was very relevant as trading signals,...

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The Modified Relative Strength Index was created by John Ehlers (Cycle Analytics For Traders pgs 87-88) and this is a typical RSI that uses his roofing filter as the input. He smooths it with his own super smoother filter to provide signals. This indicator is extremely reactive and works in cycles so keep that in mind. I haven't been able to come up with clear buy...

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Mercury speed phases (stationary and retrograde) was closely observed by W. D. Gann in order to determine potential trend changes, in BTCUSD we can see some turning points close to the speed dips (when Mercury speed cross the zero line). However, what looks more interesting is that when the Mercury speed is accelerating the price range of the candles is larger, is...

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