Need Help Eliminating NaN values in Indicator

armybender

armybender

Active member
Hello,

Can someone help eliminate the NaN values in these defs / plots?

More detail:
I adapted an indicator from THIS PAGE. What I'm finding is that the upperChannelData and lowerChannelData defs have NaN values. I'm trying to build something on top of this, and the NaN values make it impossible to do.

EnableApproximation is turned on for the plots, so you don't see the gaps, but if you disable that line of code the gaps become very clear.

Here's the indicator code.

Ruby: 
# Adapted from https://usethinkscript.com/threads/supertrend-channels-luxalgo-for-thinkorswim.15377/

#DECLARATIONS
declare upper;


#USER INPUTS
input showSuperTrendChannel = yes;
input show2XChannel         = no;
input showCloud             = no;
input atrLength             = 14;
input atrMultiple           = 3.0;
input smoothLength          = 3;
input price                 = close;
input showDotsOnBreakout    = no;
input dotSeparationTicks    = 2;
input alertOnTouch          = no;


#GLOBAL COLOR DEFINITIONS
DefineGlobalColor("Blue" , CreateColor(33, 150, 243));
DefineGlobalColor("Green", CreateColor(0, 155, 0));
DefineGlobalColor("Red", CreateColor(225, 105, 105));
DefineGlobalColor("Gray", CreateColor(181, 181, 181));


#DEFINITIONS AND CALCULATIONS
## These variables must be declared early as they are used in preceeding calculations
def upperBand;
def lowerBand;
def max;
def min;

## Standard variable calculations
def nATR = MovingAverage(AverageType.WILDERS, TrueRange(high, close, low), atrLength) * atrMultiple;     #ATR
def up = hl2 + nATR;
def dn = hl2 - nATR;
def up1 = if (IsNaN(upperBand[1]) or upperBand[1] == 0) then up else upperBand[1];
def dn1 = if (IsNaN(lowerBand[1]) or lowerBand[1] == 0) then dn else lowerBand[1];
    upperBand = if price[1] < up1 then Min(up, up1) else up;
    lowerBand = if price[1] > dn1 then Max(dn, dn1) else dn;
def os  = if price > upperBand then yes else if price < lowerBand then no else os[1];
def spt = if os == 1 then lowerBand else upperBand;
def cross = (price > spt and price[1] <= spt[1]) or (price < spt and price[1] >= spt[1]);
def max1 = if (IsNaN(max[1]) or max[1] == 0) then price else max[1];
def min1 = if (IsNaN(min[1]) or min[1] == 0) then price else min[1];
    max = if cross then Max(max1, price) else if os == 1 then Max(price, max1) else Min(spt, max1);
    min = if cross then Min(min1, price) else if os == 0 then Min(price, min1) else Max(spt, min1);
def avg = (max + min) / 2;
def color = if avg > avg[1] and price > avg then 1 else if avg < avg[1] and price < avg then -1 else 0;

def upperChannelData = ExpAverage(if max != max[1] and os or !showSuperTrendChannel then Double.NaN else max, smoothLength);
def avgChannelData = ExpAverage(avg, smoothLength);
def lowerChannelData = ExpAverage(if min != min[1] and os or !showSuperTrendChannel then Double.NaN else min, smoothLength);
def upper2XChannelData = avgChannelData + (2 * (upperChannelData - avgChannelData));
def lower2XChannelData = avgChannelData - (2 * (avgChannelData - lowerChannelData));
def longDotData = if high >= upperChannelData then high + (dotSeparationTicks * TickSize()) else Double.NaN;
def shortDotData = if low <= lowerChannelData then low - (dotSeparationTicks * TickSize()) else Double.NaN;


#PLOTS
plot UpperChannel = upperChannelData;
plot AvgChannel = avgChannelData;
plot LowerChannel = lowerChannelData;
plot Upper2XChannel = upper2XChannelData;
plot Lower2XChannel = lower2XChannelData;
plot LongDot = longDotData;
plot shortDot = shortDotData;


#FORMATTING
UpperChannel.AssignValueColor(GlobalColor("Green"));
UpperChannel.EnableApproximation();
UpperChannel.HideBubble();
UpperChannel.HideTitle();

LowerChannel.AssignValueColor(GlobalColor("Red"));
LowerChannel.EnableApproximation();
LowerChannel.HideBubble();
LowerChannel.HideTitle();

Upper2XChannel.AssignValueColor(GlobalColor("Green"));
Upper2XChannel.EnableApproximation();
Upper2XChannel.HideBubble();
Upper2XChannel.HideTitle();
Upper2XChannel.SetHiding(!show2XChannel);

Lower2XChannel.AssignValueColor(GlobalColor("Red"));
Lower2XChannel.EnableApproximation();
Lower2XChannel.HideBubble();
Lower2XChannel.HideTitle();
Lower2XChannel.SetHiding(!show2XChannel);

AvgChannel.HideBubble();
AvgChannel.HideTitle();
AvgChannel.EnableApproximation();
AvgChannel.AssignValueColor(
    if color > 0 then GlobalColor("Green")
    else if color < 0 then GlobalColor("Red")
    else Color.DARK_GRAY
);

LongDot.AssignValueColor(GlobalColor("Green"));
LongDot.SetPaintingStrategy(PaintingStrategy.POINTS);
LongDot.SetHiding(!showDotsOnBreakout);
LongDot.HideBubble();
LongDot.HideTitle();

shortDot.AssignValueColor(GlobalColor("Red"));
shortDot.SetPaintingStrategy(PaintingStrategy.POINTS);
shortDot.SetHiding(!showDotsOnBreakout);
shortDot.HideBubble();
shortDot.HideTitle();


#CLOUDS
AddCloud(if showCloud then UpperChannel else Double.NaN, AvgChannel, GlobalColor("Green"));
AddCloud(if showCloud then AvgChannel else Double.NaN, LowerChannel, GlobalColor("Red"));

Thanks!
 
Last edited:
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armybender said:
Hello,

Can someone help eliminate the NaN values in these defs / plots?

More detail:
I adapted an indicator from THIS PAGE. What I'm finding is that the upperChannelData and lowerChannelData defs have NaN values. I'm trying to build something on top of this, and the NaN values make it impossible to do.

EnableApproximation is turned on for the plots, so you don't see the gaps, but if you disable that line of code the gaps become very clear.

Here's the indicator code.

Ruby: 
# Adapted from https://usethinkscript.com/threads/supertrend-channels-luxalgo-for-thinkorswim.15377/

#DECLARATIONS
declare upper;


#USER INPUTS
input showSuperTrendChannel = yes;
input show2XChannel         = no;
input showCloud             = no;
input atrLength             = 14;
input atrMultiple           = 3.0;
input smoothLength          = 3;
input price                 = close;
input showDotsOnBreakout    = no;
input dotSeparationTicks    = 2;
input alertOnTouch          = no;


#GLOBAL COLOR DEFINITIONS
DefineGlobalColor("Blue" , CreateColor(33, 150, 243));
DefineGlobalColor("Green", CreateColor(0, 155, 0));
DefineGlobalColor("Red", CreateColor(225, 105, 105));
DefineGlobalColor("Gray", CreateColor(181, 181, 181));


#DEFINITIONS AND CALCULATIONS
## These variables must be declared early as they are used in preceeding calculations
def upperBand;
def lowerBand;
def max;
def min;

## Standard variable calculations
def nATR = MovingAverage(AverageType.WILDERS, TrueRange(high, close, low), atrLength) * atrMultiple;     #ATR
def up = hl2 + nATR;
def dn = hl2 - nATR;
def up1 = if (IsNaN(upperBand[1]) or upperBand[1] == 0) then up else upperBand[1];
def dn1 = if (IsNaN(lowerBand[1]) or lowerBand[1] == 0) then dn else lowerBand[1];
    upperBand = if price[1] < up1 then Min(up, up1) else up;
    lowerBand = if price[1] > dn1 then Max(dn, dn1) else dn;
def os  = if price > upperBand then yes else if price < lowerBand then no else os[1];
def spt = if os == 1 then lowerBand else upperBand;
def cross = (price > spt and price[1] <= spt[1]) or (price < spt and price[1] >= spt[1]);
def max1 = if (IsNaN(max[1]) or max[1] == 0) then price else max[1];
def min1 = if (IsNaN(min[1]) or min[1] == 0) then price else min[1];
    max = if cross then Max(max1, price) else if os == 1 then Max(price, max1) else Min(spt, max1);
    min = if cross then Min(min1, price) else if os == 0 then Min(price, min1) else Max(spt, min1);
def avg = (max + min) / 2;
def color = if avg > avg[1] and price > avg then 1 else if avg < avg[1] and price < avg then -1 else 0;

def upperChannelData = ExpAverage(if max != max[1] and os or !showSuperTrendChannel then Double.NaN else max, smoothLength);
def avgChannelData = ExpAverage(avg, smoothLength);
def lowerChannelData = ExpAverage(if min != min[1] and os or !showSuperTrendChannel then Double.NaN else min, smoothLength);
def upper2XChannelData = avgChannelData + (2 * (upperChannelData - avgChannelData));
def lower2XChannelData = avgChannelData - (2 * (avgChannelData - lowerChannelData));
def longDotData = if high >= upperChannelData then high + (dotSeparationTicks * TickSize()) else Double.NaN;
def shortDotData = if low <= lowerChannelData then low - (dotSeparationTicks * TickSize()) else Double.NaN;


#PLOTS
plot UpperChannel = upperChannelData;
plot AvgChannel = avgChannelData;
plot LowerChannel = lowerChannelData;
plot Upper2XChannel = upper2XChannelData;
plot Lower2XChannel = lower2XChannelData;
plot LongDot = longDotData;
plot shortDot = shortDotData;


#FORMATTING
UpperChannel.AssignValueColor(GlobalColor("Green"));
UpperChannel.EnableApproximation();
UpperChannel.HideBubble();
UpperChannel.HideTitle();

LowerChannel.AssignValueColor(GlobalColor("Red"));
LowerChannel.EnableApproximation();
LowerChannel.HideBubble();
LowerChannel.HideTitle();

Upper2XChannel.AssignValueColor(GlobalColor("Green"));
Upper2XChannel.EnableApproximation();
Upper2XChannel.HideBubble();
Upper2XChannel.HideTitle();
Upper2XChannel.SetHiding(!show2XChannel);

Lower2XChannel.AssignValueColor(GlobalColor("Red"));
Lower2XChannel.EnableApproximation();
Lower2XChannel.HideBubble();
Lower2XChannel.HideTitle();
Lower2XChannel.SetHiding(!show2XChannel);

AvgChannel.HideBubble();
AvgChannel.HideTitle();
AvgChannel.EnableApproximation();
AvgChannel.AssignValueColor(
    if color > 0 then GlobalColor("Green")
    else if color < 0 then GlobalColor("Red")
    else Color.DARK_GRAY
);

LongDot.AssignValueColor(GlobalColor("Green"));
LongDot.SetPaintingStrategy(PaintingStrategy.POINTS);
LongDot.SetHiding(!showDotsOnBreakout);
LongDot.HideBubble();
LongDot.HideTitle();

shortDot.AssignValueColor(GlobalColor("Red"));
shortDot.SetPaintingStrategy(PaintingStrategy.POINTS);
shortDot.SetHiding(!showDotsOnBreakout);
shortDot.HideBubble();
shortDot.HideTitle();


#CLOUDS
AddCloud(if showCloud then UpperChannel else Double.NaN, AvgChannel, GlobalColor("Green"));
AddCloud(if showCloud then AvgChannel else Double.NaN, LowerChannel, GlobalColor("Red"));

Thanks!
Click to expand...

These lines with commented(#) code remove nans, but I have not looked at the code otherwise

Code: 
def upperChannelData = ExpAverage(if #max != max[1] and os or
!showSuperTrendChannel then Double.NaN else
max, smoothLength);

def lowerChannelData = ExpAverage(if #min != min[1] and os or
!showSuperTrendChannel then Double.NaN else
min, smoothLength);
Click to expand...
 
Upvote -1 Downvote
SleepyZ said:
These lines with commented(#) code remove nans, but I have not looked at the code otherwise
Click to expand...

That will remove the NaNs, however it will also stop the indicator from calculating.

It's a rather complex series of steps it goes through (I didn't write this originally) and I'm wondering how to possibly re-write so it doesn't create NaN values but also preserves the calculation process. Essentially, wondering if it can be re-done in a way that doesn't generate NaNs.
 
Upvote 0 Downvote
armybender said:
That will remove the NaNs, however it will also stop the indicator from calculating.

It's a rather complex series of steps it goes through (I didn't write this originally) and I'm wondering how to possibly re-write so it doesn't create NaN values but also preserves the calculation process. Essentially, wondering if it can be re-done in a way that doesn't generate NaNs.
Click to expand...

What if you add this subscript at the beginning:

Code: 
script fixnan {
    input source = close;
    def fix = if !IsNaN(source) then source else fix[1];
    plot result = fix;
}

Then for each def or plot statement that creates nan values, change it to be wrapped in the subscript, e.g. “def variable_name = blahblahblah” becomes “def variable_name = fixnan(blahblahblah)”.

Does that fix the problem?
 
Upvote 0 Downvote
lmk99 said:
What if you add this subscript at the beginning:

Code: 
script fixnan {
    input source = close;
    def fix = if !IsNaN(source) then source else fix[1];
    plot result = fix;
}

Then for each def or plot statement that creates nan values, change it to be wrapped in the subscript, e.g. “def variable_name = blahblahblah” becomes “def variable_name = fixnan(blahblahblah)”.

Does that fix the problem?
Click to expand...

I don't believe that fixes it. It would trail the prior value. What I'm seeing is that, for example, in the "upperChannelData" variable, when os is true or max <> max[1] then it produces a Double.NaN value.

In other words, I think it might take looking back at the process to see if there's another way to calculate those values to eliminate the NaNs... not just covering them up with something that essentially breaks the calculation.

I believe the original author was relying on EnableApproximation() to produce lines that looked correct, but when you try to reference that line there's nothing there - perhaps they didn't anticipate that ever being done.
 
Upvote 0 Downvote
armybender said:
Hello,

Can someone help eliminate the NaN values in these defs / plots?

More detail:
I adapted an indicator from THIS PAGE. What I'm finding is that the upperChannelData and lowerChannelData defs have NaN values. I'm trying to build something on top of this, and the NaN values make it impossible to do.

EnableApproximation is turned on for the plots, so you don't see the gaps, but if you disable that line of code the gaps become very clear.

Here's the indicator code.

Ruby: 
# Adapted from https://usethinkscript.com/threads/supertrend-channels-luxalgo-for-thinkorswim.15377/

#DECLARATIONS
declare upper;


#USER INPUTS
input showSuperTrendChannel = yes;
input show2XChannel         = no;
input showCloud             = no;
input atrLength             = 14;
input atrMultiple           = 3.0;
input smoothLength          = 3;
input price                 = close;
input showDotsOnBreakout    = no;
input dotSeparationTicks    = 2;
input alertOnTouch          = no;


#GLOBAL COLOR DEFINITIONS
DefineGlobalColor("Blue" , CreateColor(33, 150, 243));
DefineGlobalColor("Green", CreateColor(0, 155, 0));
DefineGlobalColor("Red", CreateColor(225, 105, 105));
DefineGlobalColor("Gray", CreateColor(181, 181, 181));


#DEFINITIONS AND CALCULATIONS
## These variables must be declared early as they are used in preceeding calculations
def upperBand;
def lowerBand;
def max;
def min;

## Standard variable calculations
def nATR = MovingAverage(AverageType.WILDERS, TrueRange(high, close, low), atrLength) * atrMultiple;     #ATR
def up = hl2 + nATR;
def dn = hl2 - nATR;
def up1 = if (IsNaN(upperBand[1]) or upperBand[1] == 0) then up else upperBand[1];
def dn1 = if (IsNaN(lowerBand[1]) or lowerBand[1] == 0) then dn else lowerBand[1];
    upperBand = if price[1] < up1 then Min(up, up1) else up;
    lowerBand = if price[1] > dn1 then Max(dn, dn1) else dn;
def os  = if price > upperBand then yes else if price < lowerBand then no else os[1];
def spt = if os == 1 then lowerBand else upperBand;
def cross = (price > spt and price[1] <= spt[1]) or (price < spt and price[1] >= spt[1]);
def max1 = if (IsNaN(max[1]) or max[1] == 0) then price else max[1];
def min1 = if (IsNaN(min[1]) or min[1] == 0) then price else min[1];
    max = if cross then Max(max1, price) else if os == 1 then Max(price, max1) else Min(spt, max1);
    min = if cross then Min(min1, price) else if os == 0 then Min(price, min1) else Max(spt, min1);
def avg = (max + min) / 2;
def color = if avg > avg[1] and price > avg then 1 else if avg < avg[1] and price < avg then -1 else 0;

def upperChannelData = ExpAverage(if max != max[1] and os or !showSuperTrendChannel then Double.NaN else max, smoothLength);
def avgChannelData = ExpAverage(avg, smoothLength);
def lowerChannelData = ExpAverage(if min != min[1] and os or !showSuperTrendChannel then Double.NaN else min, smoothLength);
def upper2XChannelData = avgChannelData + (2 * (upperChannelData - avgChannelData));
def lower2XChannelData = avgChannelData - (2 * (avgChannelData - lowerChannelData));
def longDotData = if high >= upperChannelData then high + (dotSeparationTicks * TickSize()) else Double.NaN;
def shortDotData = if low <= lowerChannelData then low - (dotSeparationTicks * TickSize()) else Double.NaN;


#PLOTS
plot UpperChannel = upperChannelData;
plot AvgChannel = avgChannelData;
plot LowerChannel = lowerChannelData;
plot Upper2XChannel = upper2XChannelData;
plot Lower2XChannel = lower2XChannelData;
plot LongDot = longDotData;
plot shortDot = shortDotData;


#FORMATTING
UpperChannel.AssignValueColor(GlobalColor("Green"));
UpperChannel.EnableApproximation();
UpperChannel.HideBubble();
UpperChannel.HideTitle();

LowerChannel.AssignValueColor(GlobalColor("Red"));
LowerChannel.EnableApproximation();
LowerChannel.HideBubble();
LowerChannel.HideTitle();

Upper2XChannel.AssignValueColor(GlobalColor("Green"));
Upper2XChannel.EnableApproximation();
Upper2XChannel.HideBubble();
Upper2XChannel.HideTitle();
Upper2XChannel.SetHiding(!show2XChannel);

Lower2XChannel.AssignValueColor(GlobalColor("Red"));
Lower2XChannel.EnableApproximation();
Lower2XChannel.HideBubble();
Lower2XChannel.HideTitle();
Lower2XChannel.SetHiding(!show2XChannel);

AvgChannel.HideBubble();
AvgChannel.HideTitle();
AvgChannel.EnableApproximation();
AvgChannel.AssignValueColor(
    if color > 0 then GlobalColor("Green")
    else if color < 0 then GlobalColor("Red")
    else Color.DARK_GRAY
);

LongDot.AssignValueColor(GlobalColor("Green"));
LongDot.SetPaintingStrategy(PaintingStrategy.POINTS);
LongDot.SetHiding(!showDotsOnBreakout);
LongDot.HideBubble();
LongDot.HideTitle();

shortDot.AssignValueColor(GlobalColor("Red"));
shortDot.SetPaintingStrategy(PaintingStrategy.POINTS);
shortDot.SetHiding(!showDotsOnBreakout);
shortDot.HideBubble();
shortDot.HideTitle();


#CLOUDS
AddCloud(if showCloud then UpperChannel else Double.NaN, AvgChannel, GlobalColor("Green"));
AddCloud(if showCloud then AvgChannel else Double.NaN, LowerChannel, GlobalColor("Red"));

Thanks!
Click to expand...


away from computer, just thinking and typing on my cell.....

plotting with x.EnableApproximation()
, draws lines that connect valid price numbers and skips over the bars with nan values.

if you are asking,
how to create formulas to generate lines, that mimic what x.EnableApproximation() is plotting...

then on each valid number, need to calc a line slope to the next number, and add it on each bar, until the next valid number.

a loop can use while to run for as long as some formula is true, and stops when it isn't.

untested
add this to the end of your study

not sure if slope formula needs a next +0 or next+1

Code: 
def data = upperChannelData;
def n = 500;

def next;
def slope;
def y;
if !isnan(data) then {
# valid #, look for next number
# count bars while reading nan values
fold a = 1 to n
with b
while isnan(getvalue(data), -a)
do b + 1;

# slope = y-y/x- x
def slope = (getvalue(data), -next) - data)/(next+0);

y = data;
} else {
next = next[1];
slope = slope[1];
y = y[1] + slope;
}

plot z = y;
 
Upvote 0 Downvote
halcyonguy said:
away from computer, just thinking and typing on my cell.....

plotting with x.EnableApproximation()
, draws lines that connect valid price numbers and skips over the bars with nan values.

if you are asking,
how to create formulas to generate lines, that mimic what x.EnableApproximation() is plotting...

then on each valid number, need to calc a line slope to the next number, and add it on each bar, until the next valid number.

a loop can use while to run for as long as some formula is true, and stops when it isn't.

untested
add this to the end of your study

not sure if slope formula needs a next +0 or next+1

Code: 
def data = upperChannelData;
def n = 500;

def next;
def slope;
def y;
if !isnan(data) then {
# valid #, look for next number
# count bars while reading nan values
fold a = 1 to n
with b
while isnan(getvalue(data), -a)
do b + 1;

# slope = y-y/x- x
def slope = (getvalue(data), -next) - data)/(next+0);

y = data;
} else {
next = next[1];
slope = slope[1];
y = y[1] + slope;
}

plot z = y;
Click to expand...


That might work. I can try it, but I was really more like thinking if there is a different way to process the steps to not generate NaNs in the first place. I've tried on my own, but it's a little trickier than I can manage.
 
Upvote 0 Downvote
To my eye, and I could be wrong, you have the NaNs built in in this code:
Code: 
def upperChannelData = ExpAverage(if max != max[1] and os or !showSuperTrendChannel then Double.NaN else max, smoothLength);

def lowerChannelData = ExpAverage(if min != min[1] and os or !showSuperTrendChannel then Double.NaN else min, smoothLength);

you've previously defined os to be either yes or no. Using those values, this will plot the upper bound when the chart is rinsing and the lower bound when it is not.:

Code: 
def upperChannelData = ExpAverage(if (max != max[1] and os == no) or !showSuperTrendChannel then Double.NaN else max, smoothLength);

def lowerChannelData = ExpAverage(if (min != min[1] and os == yes) or !showSuperTrendChannel then Double.NaN else min, smoothLength);

I don't believe that's the intended behaviour, but it is interesting. Taking the and os bit of code out, surprisingly, didn't do much. (I also added some parens to make the logic explicit rather than ambiguous -- but it may not be correct this way.)

So there you have a bit of a try at it. Your conditions create the nans you're talking about I believe. I could be completely wrong though... been a long day so far.

-mashume
 
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