Library "loxxfft"
This code is a library for performing Fast Fourier Transform (FFT) operations. FFT is an algorithm that can quickly compute the discrete Fourier transform (DFT) of a sequence. The library includes functions for performing FFTs on both real and complex data. It also includes functions for fast correlation and convolution, which are operations...
Description:
Convolution indicators aim to identify a major reversal in the price direction so that one can trade the market primarily in the direction of the ensuing trend, as described in the Cycle Analytics for Traders, by John F. Ehlers pg. 165. The notion is based on the concept of the two price segments are perfectly correlated (cross-correlated) that...
The Leavitt Convolution Slope indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well known for creating the Volume-Weighted Average Price indicator. This indicator is very similar to the Leavitt Convolution indicator but the big difference is that it is getting the slope instead of predicting the next Convolution value....
The Leavitt Convolution indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well known for creating the Volume-Weighted Average Price indicator. This indicator is very similar to my Leavitt Projection script and I forgot to mention that both of these indicators are actually predictive moving averages. The Leavitt...
The Convolution Indicator was created by John Ehlers (Cycle Analytics For Traders pgs 170-174) and this is version of an indicator to find potential reversal points. The idea behind this indicator is to use a variation of his AutoCorrelation Indicator that transforms the data using digital signal processing and as you can see it looks very similar to his ...
Moving Regression is a generalization of moving average and polynomial regression.
The procedure approximates a specified number of prior data points with a polynomial function of a user-defined degree. Then, polynomial interpolation of the last data point is used to construct a Moving Regression time series.
Application:
Moving Regression allows one to smooth...
Level: 2
Background
John F. Ehlers introduced Convolution Indicator in his "Cycle Analytics for Traders" chapter 13 on 2013.
Function
Since high correlation exists only at the market turning point, the convolution indicator is dependent on the lookback period used in the calculation. Assuming the two price segments have an equal time duration, the peak...
Leavitt Projection, Convolution, & Acceleration by Cryptorhythms
Intro
Bringing you another open source Gem this time from the January 2020 Issue of TASC.
Description
In the article in the Oct 2019 TASC issue titled "An interplanetary marriage" author Jay Leavitt describes the evolution process required in strategy design by introducing his Mars strategy....
Hot off the press, I present this next generation "Leavitt Convolutions Multicator" employing PSv4.0, originally formulated by Jay Leavitt, Ph.D. for TASC - January 2020 Traders Tips. Basically it's an all-in-one combination of three Leavitt indicators. This triplet indicator, being less than a 60 line implementation at initial release, is a heavily modified...
![BTCUSD: Leavitt Convolution Slope [CC]](https://s3.tradingview.com/p/pL6ecJgO_mid.png "Leavitt Convolution Slope [CC]")
![BTCUSD.P: Leavitt Convolution [CC]](https://s3.tradingview.com/d/D88toq6C_mid.png "Leavitt Convolution [CC]")
![AAPL: Ehlers Convolution Indicator [CC]](https://s3.tradingview.com/r/RPkdjGSG_mid.png "Ehlers Convolution Indicator [CC]")
![BTCUSD: [blackcat] L2 Ehlers Convolution Indicator](https://s3.tradingview.com/c/CD5Z3Mzf_mid.png "[blackcat] L2 Ehlers Convolution Indicator")
