█ OVERVIEW WaveTrend 3D (WT3D) is a novel implementation of the famous WaveTrend (WT) indicator and has been completely redesigned from the ground up to address some of the inherent shortcomings associated with the traditional WT algorithm. █ BACKGROUND The WaveTrend (WT) indicator has become a widely popular tool for traders in recent years. WT was first...
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...
This is a re-implementation of @veryfid's wonderful Tesla Coil indicator to leverage basic Machine Learning Algorithms to help classify coil crossovers. The original Tesla Coil indicator requires extensive training and practice for the user to develop adequate intuition to interpret coil crossovers. The goal for this version is to help the user understand the...
Fibonacci time zones, based on the Fibonacci number sequence, are vertical lines that represent potential areas where a swing high, low, or reversal could occur. Trend-Based Fib Time shows probable price corrections in an existing trend. A useful tool to use in addition to Elliot Wave counting, Fib Time helps to identify how far the wave is likely to travel ...
Adaptive Ultra-Smooth Momentum indicator The Cycle-Swing-Indicator "CSI" provides an optimized "momentum" oscillator based on the current dominant cycle by looking at the swing of the dominant cycle instead of the raw source momentum. Offering the following improvements: Smoothness Zero delay Sharpness at turning points Robust and adaptable to market...
This is a modified Schaff Trend Cycle (STC), which is designed to provide quicker entries and exits. I've been a huge fan of the STC for a long time, but being based on the MACD means its signals often lag by a bar or two (especially in fast moving markets). All I've done here is take the base STC script (all credit to user @LazyBear), and change the source to a...
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...
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...
Daily trend indicator based on financial astrology cycles detected with advanced machine learning techniques for some of the most important market indexes: DJI, UK100, SPX, IBC, IXIC, NI225, BANKNIFTY, NIFTY and GLD fund (not index) for Gold predictions. The daily price trend is forecasted through planets cycles (angular aspects, speed phases, declination zone),...
The WHAT =============> Basically a combination of multiple indicators into a strategy. As the title says - it's a combo of MESA Pivot Points, Cyclic RSI, MESA Adjusted Moving Average, ALMA and MACD. Feel free to play around with them and turn then on/off as desired to get the best results for your coin. Enjoy :)
I found a simple strategy by Jake Bernstein, modified it a little and created a strategy with Risk Management System (SL+TP); After that I test it on the different cryptocurrency pairs. About the Indicator Basically it's the strategy of 2 indicators: Stochastic Oscillator to define the bias and Average Directional Index to confirm it. One again, It uses...
Introduction Heyo, here is another no-repaint adaptive fisherized indicator. I added Inverse Fisher Transform, Ehlers dominant cycle analysis and smoothing to the Chande Momentum Oscillator (CMO). Usage The CMO is a momentum oscillator which shows the usual movement of an asset. I recommend to use it from a lower timeframe with a higher timeframe set. ...
The Mesa Spectrum Dominant Cycle was created by John Ehlers and this is the foundation for many indicators he created that would later follow. This is his updated version of his original Mesa algorithm and I do not recommend this indicator as a stand alone for trading. This is more of an informational indicator that will tell you the current dominant cycle period...
The Instantaneous Phase Dominant Cycle was created by John Ehlers (Stocks & Commodities V. 18:3 (16-27)) and this is one of many similar indicators that I will be publishing from Ehlers in the next few months that calculate the current dominant cycle period. The cycle period can be used in multiple ways but generally this means that if the stock is currently at a...
True Lilith (Black Moon) represents the wildly perturbed Moon apogee orbit, is not averaged (as Mean Lilith) and shows an erratic path with constant change of direction and speed. This Lilith uses the actual, real orbit rather than the average used by Mean Lilith. This perturbations are caused due to the gravitational pull of the Sun and the change of the orbit...
Ehlers Stochastic Cyber Cycle indicator script. This indicator was originally developed by John F. Ehlers (see his book `Cybernetic Analysis for Stocks and Futures`, Chapter 8: `Stochasticization and Fisherization of Indicators`).
The Adaptive Center Of Gravity was created by John Ehlers and this is a regular center of gravity indicator combined to be use with the current cycle period. If you are not familiar with stock cycles then I would highly recommend his book on the subject: Cycle Analytics. Buy when the indicator turns green and sell when it turns red. Let me know if there are any...
Ehlers Cyber Cycle indicator script. This indicator was originally developed by John F. Ehlers (see his book `Cybernetic Analysis for Stocks and Futures`, Chapter 4: `Trading the Cycle`).