adaptive

cheatcountry

The Smoothed Adaptive Momentum indicator was created by John Ehlers and this indicator gives a lot of useful information. When the indicator is above 0 then there is very strong upward momentum and when the indicator falls below 0 then there is very strong downward momentum. A very profitable way to use this particular indicator is buy long when the indicator is...

cheatcountry

The Adaptive Cyber Cycle was created by John Ehlers and this is a cycle based indicator which you don't find too many of these days. Each stock goes through cycles which are repeating patterns of price movement and cycle indicators help you find the timing of the cycle to capitalize on the underlying cycle. That is an extremely simple explanation but most...

cheatcountry

The Adaptive Relative Strength Index was created by John Ehlers and this is his first version. I will of course publish his updated version at a later date along with publishing the final script from Jim Sloman's Ocean Theory book. I have changed his script to include extra smoothing to provide clear buy and sell signals. This is a version of a RSI that is very...

io72signals

This is a follow up to my previous publication of Adaptive HMA+ few months ago, as a mean to provide some kind of initial backtesting tools. Which can be use to explore many possible strategies, optimise its settings to better conform user's pair/tf, and hopefully able to help tweaking your general strategy. If you haven't read the study or use the indicator,...

DonovanWall

This is an experimental adaptive trend following study inspired by Giorgos Siligardos's Reverse Engineering RSI and Tushar S. Chande's Variable Moving Average. In this study, reverse engineered RSI levels are calculated and used to generate a volatility index for VMA calculation. First, price levels are calculated for when RSI will equal 70 and 30. The...

DonovanWall

This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI. First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount. Next, the filter is...

alexgrover

Introduction This is a modification of an old indicator i made. This filter aim to adapt to market trend by creating a smoothing constant using highest and lowest functions. This filter is visually similar to the edge-preserving filter, this similarity can make this filter quite good for MA cross strategies. On The Filter Code a = nz(a ) + alpha*nz(error )...

alexgrover

Introduction The Dynamically Adjustable Moving Average (AMA) is an adaptive moving average proposed by Jacinta Chan Phooi M’ng (1) originally provided to forecast Asian Tiger's futures markets. AMA adjust to market condition in order to avoid whipsaw trades as well as entering the trending market earlier. This moving average showed better results than...

everget

Ehlers Deviation-Scaled Moving Average indicator script. This indicator was originally developed by John F. Ehlers (Stocks & Commodities V. 36:8: The Deviation-Scaled Moving Average).

reimadara

SUMMARY: Standard Pivot (HLC3) with ATR leeway added to make it adaptive to market volatility. DESCRIPTION: Adaptive Pivot is an indicator utilizing the simplicity of HLC3 Pivots as a turning point (and sometimes a trend indicator) while addressing it's fixed and inflexible nature. Because the indicator is just a single line in the chart, the price may go near...

LazyBear

Another one to add to Ehlers collection. The MESA Adaptive Moving Average (MAMA) adapts to price movement based on the rate of change of phase as measured by the Hilbert Transform Discriminator. This method features a fast attack average and a slow decay average so that composite average rapidly ratchets behind price changes and holds the average value until the...

io72signals

One challenging issue for beginner traders is to differentiate market conditions, whether or not the current market is giving best possibility to stack profits, as earliest, in shortest time possible, or not. On intraday, we've seen some big actions by big banks are somewhat can be defined --or circling around-- by HMA 200 . I've been thinking on to make the...

LazyBear

Bored of Ehlers yet? :) I still have plenty of Ehlers in my collection, was thinking of publishing one of his Fishers or Adaptive RVI next, but @ChartArt requested Smoothed Adaptive Momentum (SAM), so here we go... This is my 200th script (not including the variations and other custom scripts I shared over PM). My complete list of indicators here -...

Noldo

I realized that the zone changes in the stoploss remained slow, so I couldn't make enough use of the characteristics of technical indicators when opening positions. This pushed me to keep stop-loss under the influence of a dependent variable. This script helped me a lot (everget) : I've redesigned the...

LazyBear

Another famous Ehlers indicator. This is the adaptive version of Ehlers' Cyber Cycle (CC) (already published, check "More info" below). Idea behind making something "adaptive" is to calculate it using dynamic cycle period inputs instead of static setting. In adaptive cyber cycle, Ehlers uses the dominant cycle period as the length in computation of...

EmpiricalFX

This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online! OPERATING PRINCIPLE The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes. In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline...

alexgrover

Introduction The ability the Kaufman adaptive moving average (KAMA) has to be flat during ranging markets and close to the price during trending markets is what make this moving average one of the most useful in technical analysis. KAMA is calculated by using exponential averaging using the efficiency ratio (ER) as smoothing variable where 1 > ER > 0 . An...

alexgrover

Introduction Using conditions in filters is a way to make them adapt to those, i already used this methodology in one of my proposed indicators ARMA which gave a really promising adaptive filter, ARMA tried to have a flat response when dealing with ranging market while following the price when the market where trending or exhibiting volatile movements, the...