Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into. This is 2 of 4 in a series of Hi-Res indicators from 14-600 that are intended to be used in concert weaved together. Some...
Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into. This is 1 of 4 in a series of Hi-Res indicators from 14-600 that are intended to be used in concert weaved together. Some...
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...
This is the corresponding period length tracker for ACAT (2000-4000 Std-Res). The constraints of Pinescript make it necessary to plot a separate indicator in a separate window to actually read out the period numbers without massively skewing the chart by default. My volatility indicators are available by subscription in several packages through...
Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into. The best solution I've managed to find to the variable count limits in Pinescript is to split the indicator into two that...
(This is a reupload to help standardize the names in the invite-only indicators listing, which was otherwise doomed to be forever confusing.) Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators...
(This is a reupload to help standardize the names in the invite-only indicators listing, which was otherwise doomed to be forever confusing.) Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two...
This is the corresponding period length tracker for ACAT (14-2000 Half-Res). The constraints of Pinescript make it necessary to plot a separate indicator in a separate window to actually read out the period numbers without massively skewing the chart by default. Taking some lessons from how subscribers ended up making best use of the period length trackers for my...
This is the corresponding period length tracker for ACAT (14-600 Std-Res). The constraints of Pinescript make it necessary to plot a separate indicator in a separate window to actually read out the period numbers without massively skewing the chart by default. Taking some lessons from how subscribers ended up making best use of the period length trackers for my...
This is the corresponding period length tracker for ACAT (600-2000 Std-Res). The constraints of Pinescript make it necessary to plot a separate indicator in a separate window to actually read out the period numbers without massively skewing the chart by default. Taking some lessons from how subscribers ended up making best use of the period length trackers for my...
Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into. As I've looked into ways to lower variable count and optimize ACAT, I've found that decreasing the resolution in half to...
This is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints. (Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade...
Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into. The best solution I've managed to find to the variable count limits in Pinescript is to split the indicator into two that...
Adaptive Comprehensive Average Tracker is a 2 in 1 version of Mean Reversion MA and Compression MA. The slightly odd name is a backronym that spells "ACAT" - suffice it to say, I'm pretty proud of what these two indicators have developed into. At the moment, it is limited to the 600-period cap; just using the logic of the two indicators in one hits runs into the...
@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...
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 : ...
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.
An adaptive filtering technique allowing permanent re-evaluation of the filter parameters according to price volatility. The construction of this filter is based on the formula of moving ordinary least squares or lsma , the period parameter is estimated by dividing the true range with its highest. The filter will react faster during high volatility periods and...