Uber Moving Averages are four highly customisable moving averages to complement your technical analysis. The optional trend direction visualisation makes it a powerful tool for trend weighted analysis. Moving Averages 16 different Moving Averages are at your disposal. Trend Visualisation If the predominant trend...
Kaufman Adaptive Moving Average is one of the best moving averages in my opinion. So I made a ribbon script out of it. Good luck traders :)
This is Kaufman AMA Binary Wave with buy and sell zones. It’s pretty simple: when the line is over zero = buy zone, below zero = sell, at zero = neutral. You can experiment with the filter and length settings to suit your environment.
A custom version of Profitable Moving Average Crossover that shows the last estimations on profit for each crossover type and allows to set date range for analysis.
Kaufman’s Adaptive Moving Average (KAMA) was developed by American quantitative financial theorist, Perry J. Kaufman, in 1998. The technique began in 1972 but Kaufman officially presented it to the public much later, through his book, “Trading Systems and Methods.” Unlike other moving averages, Kaufman’s Adaptive Moving Average accounts not only for price action...
Introduction It is possible to use a wide variety of filters for the estimation of a least squares moving average, one of the them being the Kaufman adaptive moving average (KAMA) which adapt to the market trend strength, by using KAMA in an lsma we therefore allow for an adaptive low lag filter which might provide a smarter way to remove noise while preserving...
Introduction The correlation oscillator is a technical indicator that measure the linear relationship between the market closing price and a simple increasing line, the indicator is in a (-1,1) range and rise when price is up-trending and fall when price is down-trending. Another characteristic of the indicator is its inherent smoothing which provide a noise...
This indicator uses KAMA to adjust the length of a channel according to volatility. A set up is generated when a candle closes below/above the mid point line; this is indicated via the background color. Buy/sell on the break of the high/low of the signal candle. Use the channel top/bottom as a stop (or a close above/below the mid pint line)
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...
This is a combo of multiple indicators : 1- three kama moving averages 2- one lsma moving average 3- a kama upper and lower band that you can set to use any of the three kama moving averages in the indicator as source 4- upper, lower and center bollinger bands price for last candle The horizontal dot line is the bollinger and the horizontal arrowed lines are the...
It is a highly optimized script for H4, D1. Backtests from (2016 - 2019, depending on the currency pair). Optimization still going on. Following alerts can be activated: - Buy-Signal (Baseline-Cross)! Sell-Signal (Baseline-Cross)! Buy Signal (Aroon)! Sell Signal (Aroon)! Buy Signal (DMI)! Sell Signal (DMI)! Buy Signal (RWI)! Sell Signal (RWI)! ...
Introduction Bands are quite efficient in technical analysis, they can provide support and resistance levels, provide breakouts points, trailing stop loss/take profits positions and can show the current market volatility to the user. Most of the time bands are made from a central tendency estimator like a moving average plus/minus a volatility indicator....
This study combines a fast and slow Kaufman Adaptive Moving Averages (KAMA) with a fast and slow Volume-Weighted Moving Average(VWMA). The KAMA is definitely one of our favorite moving averages because it takes into account volatility and filters out false signals during periods of insignificant or horizontal price movement. This results in more patient, less...
This MACD is averaging 3 different MACD; KAMA MACD, ZLEMA MACD, and normal MACD. Can find easier MACD's divergence and convergence than normal MACD. And more smoothly drawing than ZLEMA MACD (KZ_MACD) which is I've made before.
Using zero lag ema for MACD line, and using KAMA for MACD's signal line. Test version. This has MACD and signal cross alert, and 0 line alert.
It was planned as an addition to Moving Average Smoothness Benchmark and Profitable Moving Average Crossover , but can be used standalone. Supports 62 types of well-known moving averages and allows full-featured customization. Supported types of averages and filters: AEMA , Adaptive Exponential MA (by Vitali Apirine) AHMA , Ahrens MA (by Richard...
@ChartArt got my attention to this idea. This type of moving average was originally developed by Michael R. Bryant (Adaptrade Software newsletter, April 2014). Mr. Bryant suggested a new approach, so called Variable Efficiency Ratio (VER), to obtain adaptive behaviour for the moving average. This approach is based on Perry Kaufman' idea with Efficiency Ratio...