hilberttransform

loxx Aggiornato 

This is an example of what can be done by combining Legendre polynomials and analytic signals. I get a way of determining a smooth period and relative adaptive strength indicator without adding time lag. This indicator displays the following: The Least Squares fit of a polynomial to a DC subtracted time series - a best fit to a cycle. The normalized...

loxx Aggiornato 

Adaptivity: Measures of Dominant Cycles and Price Trend is an indicator that outputs adaptive lengths using various methods for dominant cycle and price trend timeframe adaptivity. While the information output from this indicator might be useful for the average trader in one off circumstances, this indicator is really meant for those need a quick comparison...

loxx Aggiornato 

Adaptive Trend Cipher Highly experimental! Features: -Implements 5 different Dominant Adaptive Cycle Measures to determine optimal inputs for correlation functions. These cycle calculations include the following: ** * Ehler's Autocorrelation Dominant Cycle * Ehler's Instantaneous Dominant Cycle * Ehler's Band-pass Dominant Cycle * Ehler's Hilbert Period...

cheatcountry

The Hilbert Transform was created by John Ehlers (Stocks & Commodities V. 18:3 (16-27)) and this indicator can work pretty well as a trend confirmation. This essentially transforms the underlying price data into a soundwave and when you compare the two (blue is positive and red is negative) then it provides fairly clear buy and sell signals. Ehlers did warn in...

master-in-chart

Many traders believe that the moving averages are favorite tools and analysts have spent decades trying to improve moving averages partiularly the simple moving average. One way to address the disadvantages of moving averages is to multiply the weighting factor by a volatility ratio which is called Adaptive moving averages. This indicator uses an special adaptive...

blackcat1402

Level: 2 Background John F. Ehlers introuced Hilbert Channel Breakout Trading System in Nov, 2000. Function This indicator will show how the adaptive filter is being applied to a trading strategy. After the Hilbert Channel Breakout Signal is optimized, set the inputs for this indicator to match the corresponding inputs for the signal. In the March 2000...

blackcat1402

Level: 2 Background John F. Ehlers introuced Hilbert Transformer Indicator in his "Cycle Analytics for Traders" chapter 14 on 2013. Function Basically, the real component moves with the general direction of the prices, and the imaginary component is a predictive indicator for the real component in the same sense that a cosine wave is a predictor of a sine...

blackcat1402

Level: 2 Background John F. Ehlers introuced Classic Hilbert Transform in his "Cycle Analytics for Traders" chapter 14 on 2013. The Hilbert Transform is a procedure to create complex signals from the simple chart data familiar to all traders. Once we have the complex signals, we can compute indicators and signals that are more accurate and responsive than those...

blackcat1402

Level: 2 Background John F. Ehlers introuced Hilbert Transform in his "Rocket Science for Traders" chapter 6. The Hilbert Transform is a procedure to create complex signals from the simple chart data familiar to all traders. Once we have the complex signals, we can compute indicators and signals that are more accurate and responsive than those computed using...