Dynamicma — Indicators and Strategies

Ehlers Variable Index Dynamic Average [CC]The Variable Index Dynamic Average was created by Tushar Chande and this is a variation of that original formula created by John Ehlers. As you can see I have included the default Vidya from a script by @everget and as you can see the Ehlers version is able to follow the price much closer. I have included strong buy and sell signals in addition to normal ones and so darker colors are strong signals and lighter colors are normal ones. Buy when the line turns green and sell when it turns red. Let me know if there are any other scripts you would like to see me publish!

DMA: Moving Average of Oscillator Technical Indicator Moving Average of Oscillator (Moving Average of Oscillator OsMA) is the difference between the oscillator and oscillator smoothing. In this case, an oscillator is used the basic MACD line and the smoothing of the signal. Calculate: OSMA = MACD - SIGNAL MACD = EMA(CLOSE, 12) - EMA(CLOSE, 26) SIGNAL = EMA(MACD, 9)

DMA: ADX L30 A modified version of the ADX indicator Indicator average directional movement ( ADX ) helps traders determine the strength of the trend, not its actual direction. It can be used to determine whether changes in the market or starts a new trend. It refers to the average directional movement Index (DMI), and, in fact, included DMI ADX line . The oscillator ranges from 0 to 100, where high values noted a strong trend and low readings indicate a weak trend. It is often combined with directional indicators. The indicator was developed by Welles Wilder, who has created several leading trading indicators. Disconnected the lines DI and set the horizontal level 30 ----- Модифицированная версия индикатора ADX . Индикатор среднего направленного движения ( ADX ) помогает трейдерам определить силу тренда, а не его фактическое направление. Его можно использовать, чтобы выяснить, меняется ли рынок, или начинается новый тренд. Он относится к Индексу направленного движения (DMI) и, фактически, в DMI включена линия ADX . Осциллятор колеблется от 0 до 100, где высокие показания отмечают сильный тренд, а низкие показания указывают на слабый тренд. Он часто комбинируется с направленными индикаторами. Индикатор был разработан Уэллсом Уайлдером, который создал несколько ведущих торговых индикаторов. Отключены линии DI и установлен горизонтальный уровень на значении 30

Dynamically Adjustable Moving Average 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 classical methods (SMA20, EMA20, MAC, MACD, KAMA, OptSMA) using a classical crossover/under strategy in Asian Tiger's futures from 2014 to 2015. Dynamically Adjustable Moving Average AMA adjust to market condition using a non-exponential method, which in itself is not common, AMA is described as follow : 1/v * sum(close,v) where v = σ/√σ σ is the price standard deviation. v is defined as the Efficacy Ratio (not be confounded with the Efficiency Ratio) . As you can see v determine the moving average period, you could resume the formula in pine with sma(close,v) but in pine its not possible to use the function sma with variables for length, however you can derive sma using cumulation. sma ≈ d/length where d = c - c_length and c = cum(close) So a moving average can be expressed as the difference of the cumulated price by the cumulated price length period back, this difference is then divided by length. The length period of the indicator should be short since rounded version of v tend to become less variables thus providing less adaptive results. AMA in Forex Market In 2014/2015 Major Forex currencies where more persistent than Asian Tiger's Futures (2) , also most traded currency pairs tend to have a strong long-term positive autocorrelation so AMA could have in theory provided good results if we only focus on the long term dependency. AMA has been tested with ASEAN-5 Currencies (3) and still showed good results, however forex is still a tricky market, also there is zero proof that switching to a long term moving average during ranging market avoid whipsaw trades (if you have a paper who prove it please pm me) . Conclusion An interesting indicator, however the idea behind it is far from being optimal, so far most adaptive methods tend to focus more in adapting themselves to market complexity than volatility. An interesting approach would have been to determine the validity of a signal by checking the efficacy ratio at time t . Backtesting could be a good way to see if the indicator is still performing well. References (1) J.C.P. M’ng, Dynamically adjustable moving average (AMA’) technical analysis indicator to forecast Asian Tigers’ futures markets, Physica A (2018), doi.org (2) www.researchgate.net (3) www.ncbi.nlm.nih.gov