adaptive

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 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 Lines are the most widely used figures in technical analysis, this is due to the linear trends that some securities posses (daily log SP500 for example), support and resistances are also responsible for the uses of lines, basically linear support and resistances are made with the assumption that the line connecting two local maximas or minimas will...

HPotter

Everyone wants a short-term, fast trading trend that works without large losses. That combination does not exist. But it is possible to have fast trading trends in which one must get in or out of the market quickly, but these have the distinct disadvantage of being whipsawed by market noise when the market is volatile in a sideways trending...

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 -...

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...

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 The ability to adapt to possible markets states is important in technical analysis, this is why making adaptive indicator might help get better results. I propose a trailing stop indicator using recursion that can adapt to the efficiency ratio. I have added alerts since it's a often requested feature. The Indicator Its quite classical, bands are...

synapticEx

Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. MT4 version is available on synapticex.com/software.html

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...

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...

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...

LazyBear

This updates Blau's excellent Candlestick oscillator to be adaptive by using the length of a scaled stochastic indicator and an exponent (for calculating the smoothing coefficient) to obtain the moving average. Check out the options page for configurable variables. More info on Ergodic Oscillator: Book: "Momentum, Direction and Divergence" by William...

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...

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...

everget

This indicator was originally developed by Mark Jurik. NOTE: If Mr. Jurik ask me to remove this indicator from public access then I will do it.

everget

Kaufman Adaptive Moving Average script. This indicator was originally developed by Perry J. Kaufman (`Smarter Trading: Improving Performance in Changing Markets`, 1995).

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...