Custom Exponential Smoothing

[cdgardner]

Has anybody ever developed a code for using decimalization or percentages for an exponential smoothing function instead of Length?

For example, using 0.75 of current RSI reading and 0.25 of exponential value one bar ago. Looking to add more adjustability to this calculation.

Thank you in advance for any help.

 

[halcyonguy]

Has anybody ever developed a code for using decimalization or percentages for an exponential smoothing function instead of Length?

For example, using 0.75 of current RSI reading and 0.25 of exponential value one bar ago. Looking to add more adjustability to this calculation.

Thank you in advance for any help.

here is my interpretation on what you are asking for.
find a % of current data value and some % of the previous bar average, and add them together.

i copied the RSI study and disabled most of it.

# rsi_exp_smoothing

#https://usethinkscript.com/threads/custom-exponential-smoothing.15372/
#Custom Exponential Smoothing

def na = double.nan;
def bn = barnumber();

#---------------------------------
# data

# RSI
# TD Ameritrade IP Company, Inc. (c) 2007-2023
declare lower;

input length = 14;
input over_Bought = 70;
input over_Sold = 30;
input price = close;
input averageType = AverageType.WILDERS;
input showBreakoutSignals = no;

def NetChgAvg = MovingAverage(averageType, price - price[1], length);
def TotChgAvg = MovingAverage(averageType, AbsValue(price - price[1]), length);
def ChgRatio = if TotChgAvg != 0 then NetChgAvg / TotChgAvg else 0;

def RSI = 50 * (ChgRatio + 1);
#plot OverSold = over_Sold;
#plot OverBought = over_Bought;
#plot UpSignal = if RSI crosses above OverSold then OverSold else Double.NaN;
#plot DownSignal = if RSI crosses below OverBought then OverBought else Double.NaN;

#UpSignal.SetHiding(!showBreakoutSignals);
#DownSignal.SetHiding(!showBreakoutSignals);

#RSI.DefineColor("OverBought", GetColor(5));
#RSI.DefineColor("Normal", GetColor(7));
#RSI.DefineColor("OverSold", GetColor(1));
#RSI.AssignValueColor(if RSI > over_Bought then RSI.color("OverBought") else if RSI < over_Sold then RSI.color("OverSold") else RSI.color("Normal"));
#OverSold.SetDefaultColor(GetColor(8));
#OverBought.SetDefaultColor(GetColor(8));
#UpSignal.SetDefaultColor(Color.UPTICK);
#UpSignal.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
#DownSignal.SetDefaultColor(Color.DOWNTICK);
#DownSignal.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);

#------------------------


def data = RSI;

input show_original = no;
plot zdata = if show_original then data else na;
zdata.setdefaultcolor(color.cyan);

addlabel(show_original, "original", zdata.TakeValueColor());


#-------------------

#For example, using 0.75 of current RSI reading and 0.25 of exponential value one bar ago. 

input percent_of_current_data = 75;
def remain_per = 100 - percent_of_current_data;

input remaining_percent_from_avg = AverageType.EXPONENTIAL;
input remaining_percent_avg_len = 21;

# calc an avg of orig data
def ma1 = MovingAverage(remaining_percent_from_avg, data, remaining_percent_avg_len);

def remain_dat = remain_per/100 * ma1[1];
def curr_dat = percent_of_current_data/100 * data;

def smooth_data = remain_dat + curr_dat;

plot zsmooth = smooth_data;
zsmooth.setdefaultcolor(color.yellow);

addlabel(1, "smoothed", zsmooth.TakeValueColor());
#