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.
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...
Hi everyone!
Introduction
A popular use for moving averages is to develop simple trading systems based on moving average crossovers. A trading system using two moving averages would give a buy signal when the shorter (faster) moving average advances above the longer (slower) moving average. A sell signal would be given when the shorter moving average crosses...
Experimental Zero Lag Adjusted KAMA based MACD.
Uses Kaufman's Adaptive Moving Average (KAMA) instead of the standard EMAs to calculate the MACD with an optional application of the zero lag adjustment.
Significant differences in momentum changes (zero line crossovers), often earlier signal line crossovers and differences in divergences.
Chart displays :
...
Hey there!
This tool will help you to choose a moving average/filter that has the lowest lag throughout the whole history for the specified period.
What does it do?
It calculates the mean absolute errors for each moving average or filter and shows histogram with results. The lower error the lower lag of the moving average.
So, the best average will be at the...
Get a quick easy view of the current market status.
Examples used above are lengths 6 and 15, but you can tweak to your liking.
Want to stop sweating the small stuff and see the bigger picture? Try increasing the length to 50, 100 etc
Green = Bullish
Orange = Consolidation / Flat
Red =...
Kaufman Adaptive Moving Average script.
This indicator was originally developed by Perry J. Kaufman (`Smarter Trading: Improving Performance in Changing Markets`, 1995).
i just put it for for who ever want it.. it has some issue of repaint . put on 1 day frame in hlc box ,so it can solve the issue to some extent. based on Marco code with some modification
i hope someone will be able to fix the code and make it better :)
A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy.
The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily,...
![BTCUSD: MA Study: Different Types and More [NeoButane]](https://s3.tradingview.com/u/UQAv1U0c_mid.png "MA Study: Different Types and More [NeoButane]")
