Need Help getting scan to work

chewie76

chewie76

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I am trying to scan for when "Orange" is true. Or "OrangeScan" is true. The results always say No matching symbols and I know that is not right. Can someone tell me why I'm not getting any results? http://tos.mx/nV3vh6u is the indicator I'm trying to scan for. I'd like to see stocks that show the white dots. If you can help, I'd GREATLY appreciate it! Thanks,
 
Solution
chewie76
Looks very interesting! Thank you so much!! My scan for Z equals 1 showed no results on the daily, but worked on lower timeframes. Looks like it works! I'll keep monitoring on the daily.

The only other problem with this concept is that you have to change the "OrangeLevel" value as it is the dollar difference between bands. So for NQ it would need to be large vs. a smaller dollar stock it would need to be small. Is there a way to code this so that instead of measuring distance between bands in dollar amount, it can be measured in percentage? That way I can say "OrangeLevel" is when the lines are within 10% of each other? Thanks.
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chewie76 said:
I am trying to scan for when "Orange" is true. Or "OrangeScan" is true. The results always say No matching symbols and I know that is not right. Can someone tell me why I'm not getting any results? http://tos.mx/nV3vh6u is the indicator I'm trying to scan for. I'd like to see stocks that show the white dots. If you can help, I'd GREATLY appreciate it! Thanks,
Click to expand...
How odd. Played with it for awhile. But I could not get it to work either :(
 
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chewie76 said:
I am trying to scan for when "Orange" is true. Or "OrangeScan" is true. The results always say No matching symbols and I know that is not right. Can someone tell me why I'm not getting any results? http://tos.mx/nV3vh6u is the indicator I'm trying to scan for. I'd like to see stocks that show the white dots. If you can help, I'd GREATLY appreciate it! Thanks,
Click to expand...


is the 3 study below close to what you are looking for ?

------------------

original upper study

Code: 
# chewy_chgtoscan_00

#https://usethinkscript.com/threads/need-help-getting-scan-to-work.13651/#post-115972
#Need Help getting scan to work
#chewie76  Dec 9, 2022 #1
#I am trying to scan for when "Orange" is true. Or "OrangeScan" is true. T

#http://tos.mx/nV3vh6u
#ThinkScript_study_20221209_2

#DYNO Intraday

#LinearRegCh100 RegressionDivergence - Trigger Lines - Trend Cross
# From Lizard Indicators Link: https://www.lizardindicators.com/trigger-lines-cross-vs-thrust/
# Line #1 - Fast = LinReg (80)
# Line #2 - Slow = EXPEMA[LinReg (80)]

input displace = 0;
input LinRegLength = 1000;
input EMAlength = 180;
input EMAlength2 = 230;
input ColorOn = no;
input bandsON = yes;

def price = close;


#Definitions
def LinReg = Inertia(price[-displace], LinRegLength);
def EMA_LR = ExpAverage(LinReg[-displace], EMAlength);
def EMA_LR2 = ExpAverage(LinReg[-displace], EMAlength2);
def Body = (open + close)/2;

# Defining Long/Short Filters (these instructions determine entries / exits)
# Entry Requirements
def Long_Entry = close > LinReg and close > EMA_LR and body > LinReg and body > EMA_LR and close > high[1] and body > body[1];
# LinReg > LinReg[1] and
def Long_Stay_In = close > LinReg and close > EMA_LR;
def Long_Exit = (close < LinReg or close < EMA_LR) or Long_Stay_In == 0;
def Long_State = If Long_Entry then 1 else if Long_Exit then 0 else Long_State[1];
def Long = Long_State;

# Exit Requirements
def Short_Entry = close < LinReg and close < EMA_LR and body < LinReg and body < EMA_LR and close < low[1] and body < body[1];
# LinReg < LinReg[1] and
def Short_Stay_In = close < LinReg and close < EMA_LR;
def Short_Exit = (close > LinReg or close > EMA_LR) or Short_Stay_In == 0;
def Short_State = If Short_Entry then 1 else if Short_Exit then 0 else Short_State[1];
def Short = Short_State;

#Adding Linear Regression Plots

plot EMA_LinReg = EMA_LR;
EMA_LinReg.SetDefaultColor(CreateColor(255, 215,0));

EMA_LinReg.setlineweight(2);
plot LR = LinReg;
LR.setlineweight(1);
#LR.SetDefaultColor(CreateColor(0, 130, 255));
LR.DefineColor("OverBought", color.red);
LR.DefineColor("OverSold", color.green);
LR.DefineColor("Normal", color.white);
LR.AssignValueColor(if LR < EMA_LinReg then LR.Color("OverBought") else if LR > EMA_LINREG then LR.Color("OverSold") else LR.Color("Normal"));

# Coloring Bars
AssignPriceColor(if ColorON and Long_State then Color.GREEN else if ColorON and Short_State then Color.RED else Color.current);

DefineGlobalColor("Bullish", Color.Green);
DefineGlobalColor("Bearish", Color.Red);
DefineGlobalColor("Bullish2", Color.dark_Green);
DefineGlobalColor("Bearish2", Color.dark_Red);
AddCloud(EMA_LR, LinReg, GlobalColor("Bearish"), GlobalColor("Bullish"));
AddCloud(EMA_LR2,EMA_LR, GlobalColor("Bearish2"), GlobalColor("Bullish2"));

# End


#Regression Bands

input deviations = 2.600;  #set your deviation units here.
input length = 1000; #set your channel lookback period here.

def stdDeviation = StDevAll(price, length);
plot UpCloud = if bandson then EMA_LinReg + deviations * stdDeviation else double.nan;
UpCloud.SetDefaultColor(Color.red);
plot DnCloud = if bandson then EMA_LinReg - deviations * stdDeviation else double.nan;
DnCloud.SetDefaultColor(Color.green);
plot MiddleLine = if bandson then EMA_LinReg else double.nan;
Middleline.SetDefaultColor(Color.yellow);
DefineGlobalColor("Bullish", Color.green);
DefineGlobalColor("Bearish", Color.RED);

#BB

input Num_Dev_Dn = -1.68;
input Num_Dev_up = 1.68;
input length1 = 10;
input BB = yes;
input OrangeLevel = 9;

def expDev = ExpAverage(AbsValue(EMA_LinReg - close), length1);

plot UpperBand2 = if BB then EMA_LinReg + Num_Dev_up * expDev else double.nan;
UpperBand2.SetDefaultColor(Color.dark_orange);
UpperBand2.setlineweight(2);
plot lowerBand2 = if BB then EMA_LinReg + Num_Dev_dn * expDev else double.nan;
lowerBand2.SetDefaultColor(Color.dark_orange);
lowerBand2.setlineweight(2);

def BBDistance = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Upperband2 else double.nan;
def BBDistanceL = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Lowerband2 else double.nan;
plot Orange = BBDistance;
plot OrangeL = BBDistanceL;
plot OrangeScan = if BBDistance then 1 else 0;
OrangeScan.Hide();
Orange.SetDefaultColor(Color.white);
Orange.SetPaintingStrategy(PaintingSTrategy.points);
Orange.setlineweight(5);
OrangeL.SetDefaultColor(Color.white);
OrangeL.SetPaintingStrategy(PaintingSTrategy.points);
OrangeL.setlineweight(5);


------------------------


i disabled all of the plots and replaced some with def.
the orange formula isn't a boolean value, it is a price value.
that comes from this,
def BBDistance = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Upperband2 else double.nan;


is this close to what you are looking for ?

i made this lower study,
copied the condition from the bbdistance formula, and plotted it,
to have a 1 or 0 value.

def cond = (BB and (UpperBand2 - LowerBand2) < OrangeLevel);
plot z = cond;


Code: 
# chewy_chgtoscan_00b_lower

#https://usethinkscript.com/threads/need-help-getting-scan-to-work.13651/#post-115972
#Need Help getting scan to work
#chewie76  Dec 9, 2022 #1
#I am trying to scan for when "Orange" is true. Or "OrangeScan" is true. T


#http://tos.mx/nV3vh6u
#ThinkScript_study_20221209_2

declare lower;

#DYNO Intraday

#LinearRegCh100 RegressionDivergence - Trigger Lines - Trend Cross
# From Lizard Indicators Link: https://www.lizardindicators.com/trigger-lines-cross-vs-thrust/
# Line #1 - Fast = LinReg (80)
# Line #2 - Slow = EXPEMA[LinReg (80)]

input displace = 0;
input LinRegLength = 1000;
input EMAlength = 180;
input EMAlength2 = 230;
input ColorOn = no;
input bandsON = yes;

def price = close;


#Definitions
def LinReg = Inertia(price[-displace], LinRegLength);
def EMA_LR = ExpAverage(LinReg[-displace], EMAlength);
def EMA_LR2 = ExpAverage(LinReg[-displace], EMAlength2);
def Body = (open + close)/2;

# Defining Long/Short Filters (these instructions determine entries / exits)
# Entry Requirements
def Long_Entry = close > LinReg and close > EMA_LR and body > LinReg and body > EMA_LR and close > high[1] and body > body[1];
# LinReg > LinReg[1] and
def Long_Stay_In = close > LinReg and close > EMA_LR;
def Long_Exit = (close < LinReg or close < EMA_LR) or Long_Stay_In == 0;
def Long_State = If Long_Entry then 1 else if Long_Exit then 0 else Long_State[1];
def Long = Long_State;

# Exit Requirements
def Short_Entry = close < LinReg and close < EMA_LR and body < LinReg and body < EMA_LR and close < low[1] and body < body[1];
# LinReg < LinReg[1] and
def Short_Stay_In = close < LinReg and close < EMA_LR;
def Short_Exit = (close > LinReg or close > EMA_LR) or Short_Stay_In == 0;
def Short_State = If Short_Entry then 1 else if Short_Exit then 0 else Short_State[1];
def Short = Short_State;

#Adding Linear Regression Plots

def EMA_LinReg = EMA_LR;

#plot EMA_LinReg = EMA_LR;
#EMA_LinReg.SetDefaultColor(CreateColor(255, 215,0));

#EMA_LinReg.setlineweight(2);

#plot LR = LinReg;
#LR.setlineweight(1);
##LR.SetDefaultColor(CreateColor(0, 130, 255));
#LR.DefineColor("OverBought", color.red);
#LR.DefineColor("OverSold", color.green);
#LR.DefineColor("Normal", color.white);
#LR.AssignValueColor(if LR < EMA_LinReg then LR.Color("OverBought") else if LR > EMA_LINREG then LR.Color("OverSold") else #LR.Color("Normal"));

# Coloring Bars
#AssignPriceColor(if ColorON and Long_State then Color.GREEN else if ColorON and Short_State then Color.RED else Color.current);

DefineGlobalColor("Bullish", Color.Green);
DefineGlobalColor("Bearish", Color.Red);
DefineGlobalColor("Bullish2", Color.dark_Green);
DefineGlobalColor("Bearish2", Color.dark_Red);
#AddCloud(EMA_LR, LinReg, GlobalColor("Bearish"), GlobalColor("Bullish"));
#AddCloud(EMA_LR2,EMA_LR, GlobalColor("Bearish2"), GlobalColor("Bullish2"));

# End


#Regression Bands

input deviations = 2.600;  #set your deviation units here.
input length = 1000; #set your channel lookback period here.

def stdDeviation = StDevAll(price, length);
#plot UpCloud = if bandson then EMA_LinReg + deviations * stdDeviation else double.nan;
#UpCloud.SetDefaultColor(Color.red);
#plot DnCloud = if bandson then EMA_LinReg - deviations * stdDeviation else double.nan;
#DnCloud.SetDefaultColor(Color.green);
#plot MiddleLine = if bandson then EMA_LinReg else double.nan;
#Middleline.SetDefaultColor(Color.yellow);
DefineGlobalColor("Bullish", Color.green);
DefineGlobalColor("Bearish", Color.RED);

#BB

input Num_Dev_Dn = -1.68;
input Num_Dev_up = 1.68;
input length1 = 10;
input BB = yes;
input OrangeLevel = 9;

def expDev = ExpAverage(AbsValue(EMA_LinReg - close), length1);

def UpperBand2 = if BB then EMA_LinReg + Num_Dev_up * expDev else double.nan;
def lowerBand2 = if BB then EMA_LinReg + Num_Dev_dn * expDev else double.nan;

#plot UpperBand2 = if BB then EMA_LinReg + Num_Dev_up * expDev else double.nan;
#UpperBand2.SetDefaultColor(Color.dark_orange);
#UpperBand2.setlineweight(2);
#plot lowerBand2 = if BB then EMA_LinReg + Num_Dev_dn * expDev else double.nan;
#lowerBand2.SetDefaultColor(Color.dark_orange);
#lowerBand2.setlineweight(2);


# the condition in the bbdistance formula
def cond = (BB and (UpperBand2 - LowerBand2) < OrangeLevel);
plot z = cond;


def BBDistance = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Upperband2 else double.nan;
def BBDistanceL = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Lowerband2 else double.nan;

#plot Orange = BBDistance;
#plot OrangeL = BBDistanceL;
#plot OrangeScan = if BBDistance then 1 else 0;
#OrangeScan.Hide();
#Orange.SetDefaultColor(Color.white);
#Orange.SetPaintingStrategy(PaintingSTrategy.points);
#Orange.setlineweight(5);
#OrangeL.SetDefaultColor(Color.white);
#OrangeL.SetPaintingStrategy(PaintingSTrategy.points);
#OrangeL.setlineweight(5);
#


-----------------------------------

i changed the lower study to a column study (watchlist)
zchewy1
http://tos.mx/i5H7EPq

(i didn't test it as a scan)

it plots 1 or 0. when 1 , the cell is green, else gray.
based on this formula,

def cond = (BB and (UpperBand2 - LowerBand2) < OrangeLevel);

Code: 
# zchewy1
# chewy_chgtoscan_00b_lower


#https://usethinkscript.com/threads/need-help-getting-scan-to-work.13651/#post-115972
#Need Help getting scan to work
#chewie76  Dec 9, 2022 #1
#I am trying to scan for when "Orange" is true. Or "OrangeScan" is true. T


#http://tos.mx/nV3vh6u
#ThinkScript_study_20221209_2

#declare lower;

#DYNO Intraday

#LinearRegCh100 RegressionDivergence - Trigger Lines - Trend Cross
# From Lizard Indicators Link: https://www.lizardindicators.com/trigger-lines-cross-vs-thrust/
# Line #1 - Fast = LinReg (80)
# Line #2 - Slow = EXPEMA[LinReg (80)]

input displace = 0;
input LinRegLength = 1000;
input EMAlength = 180;
input EMAlength2 = 230;
input ColorOn = no;
input bandsON = yes;

def price = close;


#Definitions
def LinReg = Inertia(price[-displace], LinRegLength);
def EMA_LR = ExpAverage(LinReg[-displace], EMAlength);
def EMA_LR2 = ExpAverage(LinReg[-displace], EMAlength2);
def Body = (open + close)/2;

# Defining Long/Short Filters (these instructions determine entries / exits)
# Entry Requirements
def Long_Entry = close > LinReg and close > EMA_LR and body > LinReg and body > EMA_LR and close > high[1] and body > body[1];
# LinReg > LinReg[1] and
def Long_Stay_In = close > LinReg and close > EMA_LR;
def Long_Exit = (close < LinReg or close < EMA_LR) or Long_Stay_In == 0;
def Long_State = If Long_Entry then 1 else if Long_Exit then 0 else Long_State[1];
def Long = Long_State;

# Exit Requirements
def Short_Entry = close < LinReg and close < EMA_LR and body < LinReg and body < EMA_LR and close < low[1] and body < body[1];
# LinReg < LinReg[1] and
def Short_Stay_In = close < LinReg and close < EMA_LR;
def Short_Exit = (close > LinReg or close > EMA_LR) or Short_Stay_In == 0;
def Short_State = If Short_Entry then 1 else if Short_Exit then 0 else Short_State[1];
def Short = Short_State;

#Adding Linear Regression Plots

def EMA_LinReg = EMA_LR;

#plot EMA_LinReg = EMA_LR;
#EMA_LinReg.SetDefaultColor(CreateColor(255, 215,0));

#EMA_LinReg.setlineweight(2);

#plot LR = LinReg;
#LR.setlineweight(1);
##LR.SetDefaultColor(CreateColor(0, 130, 255));
#LR.DefineColor("OverBought", color.red);
#LR.DefineColor("OverSold", color.green);
#LR.DefineColor("Normal", color.white);
#LR.AssignValueColor(if LR < EMA_LinReg then LR.Color("OverBought") else if LR > EMA_LINREG then LR.Color("OverSold") else #LR.Color("Normal"));

# Coloring Bars
#AssignPriceColor(if ColorON and Long_State then Color.GREEN else if ColorON and Short_State then Color.RED else Color.current);

DefineGlobalColor("Bullish", Color.Green);
DefineGlobalColor("Bearish", Color.Red);
DefineGlobalColor("Bullish2", Color.dark_Green);
DefineGlobalColor("Bearish2", Color.dark_Red);
#AddCloud(EMA_LR, LinReg, GlobalColor("Bearish"), GlobalColor("Bullish"));
#AddCloud(EMA_LR2,EMA_LR, GlobalColor("Bearish2"), GlobalColor("Bullish2"));

# End


#Regression Bands

input deviations = 2.600;  #set your deviation units here.
input length = 1000; #set your channel lookback period here.

def stdDeviation = StDevAll(price, length);
#plot UpCloud = if bandson then EMA_LinReg + deviations * stdDeviation else double.nan;
#UpCloud.SetDefaultColor(Color.red);
#plot DnCloud = if bandson then EMA_LinReg - deviations * stdDeviation else double.nan;
#DnCloud.SetDefaultColor(Color.green);
#plot MiddleLine = if bandson then EMA_LinReg else double.nan;
#Middleline.SetDefaultColor(Color.yellow);
DefineGlobalColor("Bullish", Color.green);
DefineGlobalColor("Bearish", Color.RED);

#BB

input Num_Dev_Dn = -1.68;
input Num_Dev_up = 1.68;
input length1 = 10;
input BB = yes;
input OrangeLevel = 9;

def expDev = ExpAverage(AbsValue(EMA_LinReg - close), length1);

def UpperBand2 = if BB then EMA_LinReg + Num_Dev_up * expDev else double.nan;
def lowerBand2 = if BB then EMA_LinReg + Num_Dev_dn * expDev else double.nan;

#plot UpperBand2 = if BB then EMA_LinReg + Num_Dev_up * expDev else double.nan;
#UpperBand2.SetDefaultColor(Color.dark_orange);
#UpperBand2.setlineweight(2);
#plot lowerBand2 = if BB then EMA_LinReg + Num_Dev_dn * expDev else double.nan;
#lowerBand2.SetDefaultColor(Color.dark_orange);
#lowerBand2.setlineweight(2);


# the condition in the bbdistance formula
def cond = (BB and (UpperBand2 - LowerBand2) < OrangeLevel);
plot z = cond;
z.setdefaultcolor(color.black);

#def BBDistance = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Upperband2 else double.nan;
#def BBDistanceL = if BB and UpperBand2 - LowerBand2 < OrangeLevel then Lowerband2 else double.nan;

#plot Orange = BBDistance;
#plot OrangeL = BBDistanceL;
#plot OrangeScan = if BBDistance then 1 else 0;
#OrangeScan.Hide();
#Orange.SetDefaultColor(Color.white);
#Orange.SetPaintingStrategy(PaintingSTrategy.points);
#Orange.setlineweight(5);
#OrangeL.SetDefaultColor(Color.white);
#OrangeL.SetPaintingStrategy(PaintingSTrategy.points);
#OrangeL.setlineweight(5);

assignbackgroundcolor( (if cond then color.green else color.gray));
#
 
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Looks very interesting! Thank you so much!! My scan for Z equals 1 showed no results on the daily, but worked on lower timeframes. Looks like it works! I'll keep monitoring on the daily.

The only other problem with this concept is that you have to change the "OrangeLevel" value as it is the dollar difference between bands. So for NQ it would need to be large vs. a smaller dollar stock it would need to be small. Is there a way to code this so that instead of measuring distance between bands in dollar amount, it can be measured in percentage? That way I can say "OrangeLevel" is when the lines are within 10% of each other? Thanks.
 
Last edited:
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