Insync Index Indicator for ThinkorSwim

WOW...Wow...it's really amazing like you said and simple to see the correlation. Thanks a lot for taking the time to explain further. Cheers!!!!
@nktkobby as far as a scan try this on a daily chart...
Just save script from post 1 as a study.
Go to scans and select study and select the saved script from post 1 that you saved as a study.
Then select "crosses" choose "value" and set to -55. (If you tweek it up to -50) you'll get more results etc...
That will be for the oversold stocks ready to bounce. See pic below.

If you want the opposite, stock to short on the daily chart, then just set up a diff scan and plug in +55 instead.




 
Last edited:
@nktkobby as far as a scan try this on a daily chart...
Just save script from post 1 as a study.
Go to scans and select study and select the saved script from post 1 that you saved as a study.
Then select "crosses" choose "value" and set to -55. (If you tweek it up to -50) you'll get more results etc...
That will be for the oversold stocks ready to bounce. See pic below.

If you want the opposite, stock to short on the daily chart, then just set up a diff scan and plug in +55 instead.




@Joseph Patrick 18 Thank you so much, it works
 
It acts as a derivative in a sense, to spot turning points. Pretty cool how it uses other indicators to form.
A while ago I made something similar, I forget what indicators I mashed, but here it is:
Ruby:
declare lower;

input price = hl2;
input HistoType = {default STD, ROC};
input SmoothLength = 5;
def valueDiff;
def value;
def showBands;
switch (HistoType) {
case STD:
value = double.nan;
valueDiff = (Average(price, 5) - Average(price, 35));
showBands = 1;
case ROC:
value = (Average(price, 10) - Average(price, 70));
valueDiff = Average(value - value[1], SmoothLength);
showBands = 0;
}
def coeff_num = 2;
def coeff_denom = 39;
def barNum = if IsNaN( close ) then Double.NaN else barNumber();
def coeff = coeff_num / ( coeff_denom + 1 );
def diff = ValueDiff;
rec _upLine = if barNum == 1 then
if diff >= 0 then
diff * coeff + diff * ( 1 - Coeff )
else
0
else
if diff >= 0 then
diff * coeff + _upLine[1] * ( 1 - Coeff )
else
_upLine[1];
rec _dnLine = if barNum == 1 then
if diff < 0 then
diff * coeff + diff * ( 1 - Coeff )
else
0
else
if diff < 0 then
diff * coeff + _dnLine[1] * ( 1 - Coeff )
else
_dnLine[1];

plot ZeroLine = 0;
ZeroLine.SetDefaultColor(GetColor(7));
plot Osc = valueDiff;
plot UpSignal = if Diff crosses above ZeroLine then ZeroLine else Double.NaN;
plot DownSignal = if Diff crosses below ZeroLine then ZeroLine else Double.NaN;
Osc.SetDefaultColor(GetColor(5));
Osc.SetPaintingStrategy(PaintingStrategy.HISTOGRAM);
Osc.SetLineWeight(3);
Osc.DefineColor("Positive and Up", Color.GREEN);
Osc.DefineColor("Positive and Down", Color.dark_green);
Osc.DefineColor("Negative and Down", Color.RED);
Osc.DefineColor("Negative and Up", Color.dark_red);
Osc.AssignValueColor(if Osc >= 0 then if Osc > Osc[1] then Osc.color("Positive and Up") else Osc.color("Positive and Down") else if Osc < Osc[1] then Osc.color("Negative and Down") else Osc.color("Negative and Up"));

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

input length = 14;
input calcLength = 5;
input smoothlength2 = 3;

def o = open;
def c = close;
def data = fold i = 0 to length
           with s
           do s + (if c > getValue(o, i)
                   then 1
                   else if c < getValue(o, i)
                        then - 1
                        else 0);
def EMA5 = ExpAverage(data, calcLength);
def Main = ExpAverage(EMA5, smoothlength2);
def Signal = ExpAverage(Main, smoothlength2);

plot z = 0;
z.SetDefaultColor(GetColor(7));
plot difference = 0 + Main;
difference.setpaintingstrategy(paintingstrategy.histogram);
difference.AssignValueColor(if difference > 0 and difference [0] < difference[1] then color.dark_green else if Difference > 0 then color.green else if difference[0] > difference[1] and difference < 0 then color.dark_red else color.red);
difference.setlineweight(3);

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

input c2 = close;
input AvgType = AverageType.Simple;
input nFast = 8;
input nSlow = 13;
input nSmooth = 5;

plot PPO = ((MovingAverage(AverageType = AvgType, c2, nFast) -
             MovingAverage(AverageType = AvgType, c2, nSlow)) /
             MovingAverage(AverageType = AvgType, c2, nSlow));

PPO.AssignValueColor(if PPO > 0
                     then color.green
                     else color.red);

plot smooth = MovingAverage(AverageType = AvgType, PPO, nSmooth);
smooth.SetPaintingStrategy(PaintingStrategy.Line);
smooth.SetDefaultColor(Color.Cyan);
smooth.hide();
ppo.hide();

plot z2 = 0;
z2.SetDefaultColor(GetColor(7));
def diff2 = ppo-smooth;
plot difference2 = diff2 * 100;
difference2.setpaintingstrategy(paintingstrategy.histogram);
difference2.AssignValueColor(if difference2 > 0 and difference2 [0] < difference2[1] then color.dark_green else if difference2 > 0 then color.green else if difference2[0] > difference2[1] and difference2 < 0 then color.dark_red else color.red);
difference2.setlineweight(3);


osc.hide();
difference.hide();
difference2.hide();

def lavg = (osc+difference+difference2)/3;
input averagetype = averagetype.hull;
plot avengers = movingaverage(averagetype, lavg);
avengers.setpaintingstrategy(paintingstrategy.histogram);
avengers.AssignValueColor(if avengers > 0 and avengers[0] < avengers[1] then color.dark_green else if avengers > 0 then color.green else if avengers[0] > avengers[1] and avengers< 0 then color.dark_red else color.red);
plot deriv = 10*((avengers[0]-avengers[1])/2);

deriv.AssignValueColor(if deriv > 0 and deriv[0] < deriv[1] then color.dark_green else if deriv > 0 then color.cyan else if deriv[0] > deriv[1] and deriv< 0 then color.cyan else color.red);
@WbKiki May I know what is your trigger signal for entry and do you have a scanner for this ? Thanks
 
@WbKiki May I know what is your trigger signal for entry and do you have a scanner for this ? Thanks
Try this:
Ruby:
declare lower;

def price = hl2;
input HistoType = {default STD, ROC};
def SmoothLength = 5;
def valueDiff;
def value;
def showBands;
switch (HistoType) {
case STD:
value = double.nan;
valueDiff = (Average(price, 5) - Average(price, 35));
showBands = 1;
case ROC:
value = (Average(price, 10) - Average(price, 70));
valueDiff = Average(value - value[1], SmoothLength);
showBands = 0;
}
def coeff_num = 2;
def coeff_denom = 39;
def barNum = if IsNaN( close ) then Double.NaN else barNumber();
def coeff = coeff_num / ( coeff_denom + 1 );
def diff = ValueDiff;
rec _upLine = if barNum == 1 then
if diff >= 0 then
diff * coeff + diff * ( 1 - Coeff )
else
0
else
if diff >= 0 then
diff * coeff + _upLine[1] * ( 1 - Coeff )
else
_upLine[1];
rec _dnLine = if barNum == 1 then
if diff < 0 then
diff * coeff + diff * ( 1 - Coeff )
else
0
else
if diff < 0 then
diff * coeff + _dnLine[1] * ( 1 - Coeff )
else
_dnLine[1];

def ZeroLine = 0;
def Osc = valueDiff;
def UpSignal = if Diff crosses above ZeroLine then ZeroLine else Double.NaN;
def DownSignal = if Diff crosses below ZeroLine then ZeroLine else Double.NaN;


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

input length = 14;
input calcLength = 5;
input smoothlength2 = 3;

def o = open;
def c = close;
def data = fold i = 0 to length
           with s
           do s + (if c > getValue(o, i)
                   then 1
                   else if c < getValue(o, i)
                        then - 1
                        else 0);
def EMA5 = ExpAverage(data, calcLength);
def Main = ExpAverage(EMA5, smoothlength2);
def Signal = ExpAverage(Main, smoothlength2);

def z = 0;
def difference = 0 + Main;

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

input c2 = close;
input AvgType = AverageType.Simple;
input nFast = 8;
input nSlow = 13;
input nSmooth = 5;

def PPO = ((MovingAverage(AverageType = AvgType, c2, nFast) -
             MovingAverage(AverageType = AvgType, c2, nSlow)) /
             MovingAverage(AverageType = AvgType, c2, nSlow));


def smooth = MovingAverage(AverageType = AvgType, PPO, nSmooth);

def z2 = 0;

def diff2 = ppo-smooth;
def difference2 = diff2 * 100;


def lavg = (osc+difference+difference2)/3;
input averagetype = averagetype.hull;
def avengers = movingaverage(averagetype, lavg);
def deriv = 10*((avengers[0]-avengers[1])/2);

plot sig = deriv crosses above 0 within 1 bars; #set 5 to whatever you want
 

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