Trend Painter Indicator With Buy & Sell Signals for ThinkorSwim

[BenTen]

@Mkirk Sure, just tell me your desired buy and sell conditions.

 

[Mkirk]

@Mkirk Sure, just tell me your desired buy and sell conditions.

I'd start with buy on first green and sell on 2nd blue. Is there a way to configure strategies like you can studies where you can change the parameters in the edit studies window under input and options? For example, If I wanted to test sell on first red ( instead of 2nd blue) I could change it there instead of editing the script? Thank You for your assistance.

 

[BenTen]

@Mkirk Here's a basic one for you to get started.

input ThermoLookBackBars = 50;
input PlotType = {default AdaptiveMovingAverages, Standard};

def HighLowScore = 1000 * ((high - high[1]) / (high[1]) +
(low - low[1]) / low[1]);

#ATR TrailingStop Code
input trailType = {default modified, unmodified};
input ATRPeriod = 5;
input ATRFactor = 3.5;
input firstTrade = {default long, short};

def HiLo = Min(high - low, 1.5 * Average(high - low, ATRPeriod));
def HRef = if low <= high[1]
    then high - close[1]
    else (high - close[1]) - 0.5 * (low - high[1]);
def LRef = if high >= low[1]
    then close[1] - low
    else (close[1] - low) - 0.5 * (low[1] - high);
def ATRMod = ExpAverage(Max(HiLo, Max(HRef, LRef)), 2 * ATRPeriod - 1);

def loss;
switch (trailType) {
case modified:
    loss = ATRFactor * ATRMod;
case unmodified:
    loss = ATRFactor * Average(TrueRange(high,  close,  low),  ATRPeriod);
}

rec state = {default init, long, short};
rec trail;
switch (state[1]) {
case init:
    if (!IsNaN(loss)) {
        switch (firstTrade) {
        case long:
            state = state.long;
            trail =  close - loss;
        case short:
            state = state.short;
            trail = close + loss;
    }
    } else {
        state = state.init;
        trail = Double.NaN;
    }
case long:
    if (close > trail[1]) {
        state = state.long;
        trail = Max(trail[1], close - loss);
    }
    else {
        state = state.short;
        trail = close + loss;
    }
case short:
    if (close < trail[1]) {
        state = state.short;
        trail = Min(trail[1], close + loss);
    }
    else {
        state = state.long;
        trail =  close - loss;
    }
}

def BuySignal = Crosses(state == state.long, 0, CrossingDirection.ABOVE);
def SellSignal = Crosses(state == state.short, 0, CrossingDirection.ABOVE);

plot TrailingStop = trail;
TrailingStop.Hide();
#End ATR Trailing Stop Code

def A = Highest(high[1], ThermoLookBackBars);
def B = Lowest(low[1], ThermoLookBackBars);

def FiftyTwoWeekHigh = A;

def FiftyTwoWeekLow = B;

def FiftyTwoWeekScore = 10 * (((high
- FiftyTwoWeekHigh) / FiftyTwoWeekHigh) +
((low - FiftyTwoWeekLow) / FiftyTwoWeekLow));

def ThermoScore = ExpAverage(HighLowScore + FiftyTwoWeekScore, ThermoLookBackBars);

input FastLengthShort = 5;
input SlowLengthShort = 15;
input EffRatioShort = 10;
input FastLengthLong = 10;
input SlowLengthLong = 25;
input EffRatioLong = 5;

def AMA = MovAvgAdaptive(ThermoScore, FastLengthShort, SlowLengthShort, EffRatioShort);
def AMA2 = MovAvgAdaptive(ThermoScore, FastLengthLong, SlowLengthLong, EffRatioLong);

plot Line1;
Line1.Hide();
plot Line2;
Line2.Hide();

switch (PlotType) {
case AdaptiveMovingAverages:
    Line1 = AMA;
    Line2 = AMA2;
case Standard:
    Line1 = ThermoScore;
    Line2 = ThermoScore;
}

def InvisibleLine = close * 0;
plot Line3 = InvisibleLine;
Line3.Hide();

def Buy = Line1 > 0 and Line2 < 0 and state == state.long;
def StrongBuy = Line1 > 0 and Line2 >= 0 and state == state.long;
def Sell = Line1 < 0 and Line2 > 0 and state == state.short;
def StrongSell = Line1 < 0 and Line2 <= 0 and state == state.short;

plot GU = BuySignal;
GU.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
GU.SetDefaultColor(GetColor(8));
GU.SetLineWeight(2);

plot GX = SellSignal;
GX.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);
GX.SetDefaultColor(GetColor(8));
GX.SetLineWeight(2);

AssignPriceColor(if Buy then Color.DARK_GREEN else if StrongBuy then Color.GREEN else if Sell then Color.DARK_RED else if StrongSell then Color.RED else Color.BLUE);

AddLabel(yes, Concat("Current Reading is ", (if Buy then "Up Trend" else if StrongBuy then "Strong Up Trend" else if Sell then "Down Trend" else if StrongSell then "Strong Down Trend" else "Neutral")),  if Buy then Color.DARK_GREEN else if StrongBuy then Color.GREEN else if Sell then Color.DARK_RED else if StrongSell then Color.RED else Color.GRAY);

AddOrder(OrderType.BUY_TO_OPEN, condition = GU, price = close,1, tickcolor = Color.GREEN, arrowcolor = Color.GREEN, name = "Long");
AddOrder(OrderType.SELL_TO_CLOSE, condition = GX, price = close,1, tickcolor = Color.GREEN, arrowcolor = Color.GREEN, name = "Cover");

 

[wtan]

Greetings everyone

Please see below. These are the changes I made to the original trendpainter code so it can be used as a watchlist column and and as a scan. The original code is to be used within the chart study.

#Revised TrendPainter code for Watchlist Column (thermolookbackbars and the trading session must mirror that of the trendpainter on the chart). I removed the original "asignbackground color" and "addlabel' script and replaced it with the below.

def uptrend = buy;
def Stronguptrend = strongbuy;
def downtrend = sell;
def Strongdowntrend = strongsell;

AssignbackgroundColor (if uptrend then Color.Dark_GREEN else if Stronguptrend then Color.Green else if downtrend then color.dark_RED else if Strongdowntrend then Color.RED else Color.Black);

AddLabel(yes,if uptrend then "UP" else if Stronguptrend then "Buy" else if downtrend then "Down" else if Strongdowntrend then "Bear" else "Neutral", if stronguptrend then color.black else if strongdowntrend then color.black else color.white );

#Revised TrendPainter code for Stock Hacker scan (thermolookbackbars and the trading session must mirror that of the trendpainter on the chart and watchlist column). I removed the "asignbackground color" and "addlabel' script and replaced the 'plot" with "def". The only plot statement is the one below. This was added at the end of the script.

plot scan = strongbuy;

If you want to plot the buysignal, sell signal, strongsell etc simply replace strongbuy.

Hope this helps.

Hi, I am unable to figure out what is the code to add to the custom scanner. May I know the correct codes to add? Thanks
Image:

https://imgur.com/a/78hEm0J

 

[cabe1332]

Hi, do you mean add a study, select the trendpainter code under the edit condition? I can see different plots available but no strongbuy option.

https://imgur.com/a/AuHnYCM

@wtan here's what I did. The script below is from the original, just modified it a bit for my scan.

# Trend Painter Indicator With Buy & Sell Signals
# Credit to then usethinkscript.com team for this script and share. It's an awesome indicator.
# Candle definitions/legends
# DARK_GREEN = Buy
# GREEN = Strong Buy
# DARK_RED = Sell
# RED = Strong Sell
# BLUE = Neutral or Otherwise

#Think of the BLUE as amber color at a traffic light signal, it is warning you that something is about to change.
#By changing the color scheme to a two COLOR green/red in my opinion would not give you the underlying sentiment of the momentum.

input ThermoLookBackBars = 50;
input PlotType = {default AdaptiveMovingAverages, Standard};

def HighLowScore = 1000 * ((high - high[1]) / (high[1]) +
(low - low[1]) / low[1]);

#ATR TrailingStop Code
input trailType = {default modified, unmodified};
input ATRPeriod = 5;
input ATRFactor = 3.5;
input firstTrade = {default long, short};

def HiLo = Min(high - low, 1.5 * Average(high - low, ATRPeriod));
def HRef = if low <= high[1]
then high - close[1]
else (high - close[1]) - 0.5 * (low - high[1]);
def LRef = if high >= low[1]
then close[1] - low
else (close[1] - low) - 0.5 * (low[1] - high);
def ATRMod = ExpAverage(Max(HiLo, Max(HRef, LRef)), 2 * ATRPeriod - 1);

def loss;
switch (trailType) {
case modified:
loss = ATRFactor * ATRMod;
case unmodified:
loss = ATRFactor * Average(TrueRange(high, close, low), ATRPeriod);
}

rec state = {default init, long, short};
rec trail;
switch (state[1]) {
case init:
if (!IsNaN(loss)) {
switch (firstTrade) {
case long:
state = state.long;
trail = close - loss;
case short:
state = state.short;
trail = close + loss;
}
} else {
state = state.init;
trail = Double.NaN;
}
case long:
if (close > trail[1]) {
state = state.long;
trail = Max(trail[1], close - loss);
}
else {
state = state.short;
trail = close + loss;
}
case short:
if (close < trail[1]) {
state = state.short;
trail = Min(trail[1], close + loss);
}
else {
state = state.long;
trail = close - loss;
}
}

def BuySignal = Crosses(state == state.long, 0, CrossingDirection.ABOVE);
def SellSignal = Crosses(state == state.short, 0, CrossingDirection.ABOVE);

def TrailingStop = trail;
#TrailingStop.Hide();
#End ATR Trailing Stop Code

def A = Highest(high[1], ThermoLookBackBars);
def B = Lowest(low[1], ThermoLookBackBars);

def FiftyTwoWeekHigh = A;

def FiftyTwoWeekLow = B;

def FiftyTwoWeekScore = 10 * (((high
- FiftyTwoWeekHigh) / FiftyTwoWeekHigh) +
((low - FiftyTwoWeekLow) / FiftyTwoWeekLow));

def ThermoScore = ExpAverage(HighLowScore + FiftyTwoWeekScore, ThermoLookBackBars);

input FastLengthShort = 5;
input SlowLengthShort = 15;
input EffRatioShort = 10;
#input FastLengthLong = 10;
#input SlowLengthLong = 25;
input FastLengthLong = 9;
input SlowLengthLong = 26;
input EffRatioLong = 5;

def AMA = MovAvgAdaptive(ThermoScore, FastLengthShort, SlowLengthShort, EffRatioShort);
def AMA2 = MovAvgAdaptive(ThermoScore, FastLengthLong, SlowLengthLong, EffRatioLong);

def Line1;
#Line1.Hide();
def Line2;
#Line2.Hide();

switch (PlotType) {
case AdaptiveMovingAverages:
Line1 = AMA;
Line2 = AMA2;
case Standard:
Line1 = ThermoScore;
Line2 = ThermoScore;
}

def InvisibleLine = close * 0;
#plot Line3 = InvisibleLine;
#Line3.Hide();

def Buy = Line1 > 0 and Line2 < 0 and state == state.long;
def StrongBuy = Line1 > 0 and Line2 >= 0 and state == state.long;
def Sell = Line1 < 0 and Line2 > 0 and state == state.short;
def StrongSell = Line1 < 0 and Line2 <= 0 and state == state.short;

#def GU = BuySignal;
#GU.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
#GU.SetDefaultColor(GetColor(8));
#GU.SetLineWeight(2);

#def GX = SellSignal;
#GX.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);
#GX.SetDefaultColor(GetColor(8));
#GX.SetLineWeight(2);

plot scan = buy or strongbuy;

# end of code

 

[wtan]

@wtan here's what I did. The script below is from the original, just modified it a bit for my scan. There may be other ways, but it works for me. A screenshot of the scan should help you going. Good luck! @cabe1332


# Trend Painter Indicator With Buy & Sell Signals
# Credit to then usethinkscript.com team for this script and share. It's an awesome indicator.
# Candle definitions/legends
# DARK_GREEN = Buy
# GREEN = Strong Buy
# DARK_RED = Sell
# RED = Strong Sell
# BLUE = Neutral or Otherwise

#Think of the BLUE as amber color at a traffic light signal, it is warning you that something is about to change.
#By changing the color scheme to a two COLOR green/red in my opinion would not give you the underlying sentiment of the momentum.

input ThermoLookBackBars = 50;
input PlotType = {default AdaptiveMovingAverages, Standard};

def HighLowScore = 1000 * ((high - high[1]) / (high[1]) +
(low - low[1]) / low[1]);

#ATR TrailingStop Code
input trailType = {default modified, unmodified};
input ATRPeriod = 5;
input ATRFactor = 3.5;
input firstTrade = {default long, short};

def HiLo = Min(high - low, 1.5 * Average(high - low, ATRPeriod));
def HRef = if low <= high[1]
then high - close[1]
else (high - close[1]) - 0.5 * (low - high[1]);
def LRef = if high >= low[1]
then close[1] - low
else (close[1] - low) - 0.5 * (low[1] - high);
def ATRMod = ExpAverage(Max(HiLo, Max(HRef, LRef)), 2 * ATRPeriod - 1);

def loss;
switch (trailType) {
case modified:
loss = ATRFactor * ATRMod;
case unmodified:
loss = ATRFactor * Average(TrueRange(high, close, low), ATRPeriod);
}

rec state = {default init, long, short};
rec trail;
switch (state[1]) {
case init:
if (!IsNaN(loss)) {
switch (firstTrade) {
case long:
state = state.long;
trail = close - loss;
case short:
state = state.short;
trail = close + loss;
}
} else {
state = state.init;
trail = Double.NaN;
}
case long:
if (close > trail[1]) {
state = state.long;
trail = Max(trail[1], close - loss);
}
else {
state = state.short;
trail = close + loss;
}
case short:
if (close < trail[1]) {
state = state.short;
trail = Min(trail[1], close + loss);
}
else {
state = state.long;
trail = close - loss;
}
}

def BuySignal = Crosses(state == state.long, 0, CrossingDirection.ABOVE);
def SellSignal = Crosses(state == state.short, 0, CrossingDirection.ABOVE);

def TrailingStop = trail;
#TrailingStop.Hide();
#End ATR Trailing Stop Code

def A = Highest(high[1], ThermoLookBackBars);
def B = Lowest(low[1], ThermoLookBackBars);

def FiftyTwoWeekHigh = A;

def FiftyTwoWeekLow = B;

def FiftyTwoWeekScore = 10 * (((high
- FiftyTwoWeekHigh) / FiftyTwoWeekHigh) +
((low - FiftyTwoWeekLow) / FiftyTwoWeekLow));

def ThermoScore = ExpAverage(HighLowScore + FiftyTwoWeekScore, ThermoLookBackBars);

input FastLengthShort = 5;
input SlowLengthShort = 15;
input EffRatioShort = 10;
#input FastLengthLong = 10;
#input SlowLengthLong = 25;
input FastLengthLong = 9;
input SlowLengthLong = 26;
input EffRatioLong = 5;

def AMA = MovAvgAdaptive(ThermoScore, FastLengthShort, SlowLengthShort, EffRatioShort);
def AMA2 = MovAvgAdaptive(ThermoScore, FastLengthLong, SlowLengthLong, EffRatioLong);

def Line1;
#Line1.Hide();
def Line2;
#Line2.Hide();

switch (PlotType) {
case AdaptiveMovingAverages:
Line1 = AMA;
Line2 = AMA2;
case Standard:
Line1 = ThermoScore;
Line2 = ThermoScore;
}

def InvisibleLine = close * 0;
#plot Line3 = InvisibleLine;
#Line3.Hide();

def Buy = Line1 > 0 and Line2 < 0 and state == state.long;
def StrongBuy = Line1 > 0 and Line2 >= 0 and state == state.long;
def Sell = Line1 < 0 and Line2 > 0 and state == state.short;
def StrongSell = Line1 < 0 and Line2 <= 0 and state == state.short;

#def GU = BuySignal;
#GU.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
#GU.SetDefaultColor(GetColor(8));
#GU.SetLineWeight(2);

#def GX = SellSignal;
#GX.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);
#GX.SetDefaultColor(GetColor(8));
#GX.SetLineWeight(2);

plot scan = buy or strongbuy;

# end of code

Thanks a bunch! Tried the code and it's working now.

 

[mimi_r08]

I added Post #6 at the end of the trend painter code; however I am not getting any alerts on TOS.
Am i supposed to have the charts up in order to be alerted? Should i create a watchlist then have all the charts on my screen? Please let me know. Thank you for your reply!!

 

[rad14733]

I added Post #6 at the end of the trend painter code; however I am not getting any alerts on TOS.
Am i supposed to have the charts up in order to be alerted? Should i create a watchlist then have all the charts on my screen? Please let me know. Thank you for your reply!!

Yes, Study Alerts only work when the Chart is up... Scan Alerts can fire in the background and are editable either via Scan or the Marketwatch > Alerts tab... Chart Alerts, set by Right-Clicking on the Chart and selecting Create Alert should fire regardless of whether the underlying chart is up... Chart Alerts are also maintained via Marketwatch > Alerts tab...

 

[REgholl1968]

@coolice521 Try this

# Alerts
Alert(up, " ", Alert.Bar, Sound.Chimes);
Alert(down, " ", Alert.Bar, Sound.Bell);

will this snippet work on any strategy you add it to/?

 

[rad14733]

will this snippet work on any strategy you add it to/?

Yes, with the exception that you have to use the proper Condition which is the first parameter of the function call... In your example they are yes and no but they will be different for each Study/Strategy...

Read more here --> https://usethinkscript.com/resources/how-to-add-alert-script-to-thinkorswim-indicators.9/

 

[vloqnam]

HI Ben, is this repaint indicator?

 

[MerryDay]

@vloqnam This indicator is a version of the ATR Trailing Stop. There is nothing in the code that indicates there is any repainting issues.

 

[BullInvestr]

@BenTen I was wondering if you had this coded as a strategy? I tried to code it myself just to quickly view back testing (I prefer forward testing but like to look at backtesting anyways). but the problem im running into is, instead of closing longs and opening a short position its just closing longs.

 

[MerryDay]

@BullInvestr

1. Copy the study and create a new one under the Strategy Tab​

2. Add the two lines to the bottom of the strategy:​

AddOrder(OrderType.BUY_AUTO, GU);
AddOrder(OrderType.Sell_AUTO, GX);

 

[yapper16]

Hello scripting experts, I tinkered unsuccessfully, with the base code for chart study to get it to avoid painting the candlestick.
I would prefer to view the default up/down candles & only display the GU GX indicators along with the current trend label on the chart.
Is anyone doing this & will share either code or a shared link? TIA.

 

[korcari23]

Can somone help me here?
def uptrend = buy;
def Stronguptrend = strongbuy;
def downtrend = sell;
def Strongdowntrend = strongsell;

The def is being errored out. Am i doing something wrong here?

 

[MerryDay]

Hello scripting experts, I tinkered unsuccessfully, with the base code for chart study to get it to avoid painting the candlestick.
I would prefer to view the default up/down candles & only display the GU GX indicators along with the current trend label on the chart.
Is anyone doing this & will share either code or a shared link? TIA.

Find this statement at the bottom of the study:

AssignPriceColor(if Buy then Color.DARK_GREEN else if StrongBuy then Color.GREEN else if Sell then Color.DARK_RED else if StrongSell then Color.RED else Color.BLUE);

Comment it out by placing a # hashtag in front of it.

# AssignPriceColor(if Buy then Color.DARK_GREEN else if StrongBuy then Color.GREEN else if Sell then Color.DARK_RED else if StrongSell then Color.RED else Color.BLUE);

 

[MerryDay]

Can somone help me here?
def uptrend = buy;
def Stronguptrend = strongbuy;
def downtrend = sell;
def Strongdowntrend = strongsell;

The def is being errored out. Am i doing something wrong here?

What you posted is not a valid script. It was a snippet that was supposed to be pasted to the study in the first post of this thread as shown below:

input ThermoLookBackBars = 50;
input PlotType = {default AdaptiveMovingAverages, Standard};

def HighLowScore = 1000 * ((high - high[1]) / (high[1]) +
(low - low[1]) / low[1]);

#ATR TrailingStop Code
input trailType = {default modified, unmodified};
input ATRPeriod = 5;
input ATRFactor = 3.5;
input firstTrade = {default long, short};

def HiLo = Min(high - low, 1.5 * Average(high - low, ATRPeriod));
def HRef = if low <= high[1]
    then high - close[1]
    else (high - close[1]) - 0.5 * (low - high[1]);
def LRef = if high >= low[1]
    then close[1] - low
    else (close[1] - low) - 0.5 * (low[1] - high);
def ATRMod = ExpAverage(Max(HiLo, Max(HRef, LRef)), 2 * ATRPeriod - 1);

def loss;
switch (trailType) {
case modified:
    loss = ATRFactor * ATRMod;
case unmodified:
    loss = ATRFactor * Average(TrueRange(high,  close,  low),  ATRPeriod);
}

rec state = {default init, long, short};
rec trail;
switch (state[1]) {
case init:
    if (!IsNaN(loss)) {
        switch (firstTrade) {
        case long:
            state = state.long;
            trail =  close - loss;
        case short:
            state = state.short;
            trail = close + loss;
    }
    } else {
        state = state.init;
        trail = Double.NaN;
    }
case long:
    if (close > trail[1]) {
        state = state.long;
        trail = Max(trail[1], close - loss);
    }
    else {
        state = state.short;
        trail = close + loss;
    }
case short:
    if (close < trail[1]) {
        state = state.short;
        trail = Min(trail[1], close + loss);
    }
    else {
        state = state.long;
        trail =  close - loss;
    }
}

def BuySignal = Crosses(state == state.long, 0, CrossingDirection.ABOVE);
def SellSignal = Crosses(state == state.short, 0, CrossingDirection.ABOVE);

plot TrailingStop = trail;
TrailingStop.Hide();
#End ATR Trailing Stop Code

def A = Highest(high[1], ThermoLookBackBars);
def B = Lowest(low[1], ThermoLookBackBars);

def FiftyTwoWeekHigh = A;

def FiftyTwoWeekLow = B;

def FiftyTwoWeekScore = 10 * (((high
- FiftyTwoWeekHigh) / FiftyTwoWeekHigh) +
((low - FiftyTwoWeekLow) / FiftyTwoWeekLow));

def ThermoScore = ExpAverage(HighLowScore + FiftyTwoWeekScore, ThermoLookBackBars);

input FastLengthShort = 5;
input SlowLengthShort = 15;
input EffRatioShort = 10;
input FastLengthLong = 10;
input SlowLengthLong = 25;
input EffRatioLong = 5;

def AMA = MovAvgAdaptive(ThermoScore, FastLengthShort, SlowLengthShort, EffRatioShort);
def AMA2 = MovAvgAdaptive(ThermoScore, FastLengthLong, SlowLengthLong, EffRatioLong);

plot Line1;
Line1.Hide();
plot Line2;
Line2.Hide();

switch (PlotType) {
case AdaptiveMovingAverages:
    Line1 = AMA;
    Line2 = AMA2;
case Standard:
    Line1 = ThermoScore;
    Line2 = ThermoScore;
}

def InvisibleLine = close * 0;
plot Line3 = InvisibleLine;
Line3.Hide();

def Buy = Line1 > 0 and Line2 < 0 and state == state.long;
def StrongBuy = Line1 > 0 and Line2 >= 0 and state == state.long;
def Sell = Line1 < 0 and Line2 > 0 and state == state.short;
def StrongSell = Line1 < 0 and Line2 <= 0 and state == state.short;

def uptrend = buy;
def Stronguptrend = strongbuy;
def downtrend = sell;
def Strongdowntrend = strongsell;

AssignbackgroundColor (if uptrend then Color.Dark_GREEN else if Stronguptrend then Color.Green else if downtrend then color.dark_RED else if Strongdowntrend then Color.RED else Color.Black);

AddLabel(yes,if uptrend then "UP" else if Stronguptrend then "Buy" else if downtrend then "Down" else if Strongdowntrend then "Bear" else "Neutral", if stronguptrend then color.black else if strongdowntrend then color.black else color.white );

https://usethinkscript.com/threads/...signals-for-thinkorswim.226/page-4#post-40933

 

[Amzning]

Hi @BenTen

I see this indicator was created a few years ago, with the enhancements & alerts. Could you advise if this is now considered outdated or could be "tweaked" in any way? This was the shareable link that you've listed in 2019, which I've included for quick access:

Shareable Link​

https://tos.mx/kZjt1k

Also, with the current alerts & arrows I'm currently using within my TOS Algo, I'm not seeing a clear "Green" arrow for the "Buy" signal, or a clear 'Red" arrow for the "Sell" feature. Any assistance is appreciated (I'm looking for improvements )

 

[majidg]

This indicator is based on the work of The Lawyer Trader's Trend_Fuzz study. I just added buy and sell arrows to help you pick your entry points for long and short positions.

Labels are included in the top left-hand corner to let you know the current market condition. When the candles are painted red it means the stock is currently in a downtrend, green candles represent uptrend, and blue candles mean neutral.

thinkScript Code

input ThermoLookBackBars = 50;
input PlotType = {default AdaptiveMovingAverages, Standard};

def HighLowScore = 1000 * ((high - high[1]) / (high[1]) +
(low - low[1]) / low[1]);

#ATR TrailingStop Code
input trailType = {default modified, unmodified};
input ATRPeriod = 5;
input ATRFactor = 3.5;
input firstTrade = {default long, short};

def HiLo = Min(high - low, 1.5 * Average(high - low, ATRPeriod));
def HRef = if low <= high[1]
    then high - close[1]
    else (high - close[1]) - 0.5 * (low - high[1]);
def LRef = if high >= low[1]
    then close[1] - low
    else (close[1] - low) - 0.5 * (low[1] - high);
def ATRMod = ExpAverage(Max(HiLo, Max(HRef, LRef)), 2 * ATRPeriod - 1);

def loss;
switch (trailType) {
case modified:
    loss = ATRFactor * ATRMod;
case unmodified:
    loss = ATRFactor * Average(TrueRange(high,  close,  low),  ATRPeriod);
}

rec state = {default init, long, short};
rec trail;
switch (state[1]) {
case init:
    if (!IsNaN(loss)) {
        switch (firstTrade) {
        case long:
            state = state.long;
            trail =  close - loss;
        case short:
            state = state.short;
            trail = close + loss;
    }
    } else {
        state = state.init;
        trail = Double.NaN;
    }
case long:
    if (close > trail[1]) {
        state = state.long;
        trail = Max(trail[1], close - loss);
    }
    else {
        state = state.short;
        trail = close + loss;
    }
case short:
    if (close < trail[1]) {
        state = state.short;
        trail = Min(trail[1], close + loss);
    }
    else {
        state = state.long;
        trail =  close - loss;
    }
}

def BuySignal = Crosses(state == state.long, 0, CrossingDirection.ABOVE);
def SellSignal = Crosses(state == state.short, 0, CrossingDirection.ABOVE);

plot TrailingStop = trail;
TrailingStop.Hide();
#End ATR Trailing Stop Code

def A = Highest(high[1], ThermoLookBackBars);
def B = Lowest(low[1], ThermoLookBackBars);

def FiftyTwoWeekHigh = A;

def FiftyTwoWeekLow = B;

def FiftyTwoWeekScore = 10 * (((high
- FiftyTwoWeekHigh) / FiftyTwoWeekHigh) +
((low - FiftyTwoWeekLow) / FiftyTwoWeekLow));

def ThermoScore = ExpAverage(HighLowScore + FiftyTwoWeekScore, ThermoLookBackBars);

input FastLengthShort = 5;
input SlowLengthShort = 15;
input EffRatioShort = 10;
input FastLengthLong = 10;
input SlowLengthLong = 25;
input EffRatioLong = 5;

def AMA = MovAvgAdaptive(ThermoScore, FastLengthShort, SlowLengthShort, EffRatioShort);
def AMA2 = MovAvgAdaptive(ThermoScore, FastLengthLong, SlowLengthLong, EffRatioLong);

plot Line1;
Line1.Hide();
plot Line2;
Line2.Hide();

switch (PlotType) {
case AdaptiveMovingAverages:
    Line1 = AMA;
    Line2 = AMA2;
case Standard:
    Line1 = ThermoScore;
    Line2 = ThermoScore;
}

def InvisibleLine = close * 0;
plot Line3 = InvisibleLine;
Line3.Hide();

def Buy = Line1 > 0 and Line2 < 0 and state == state.long;
def StrongBuy = Line1 > 0 and Line2 >= 0 and state == state.long;
def Sell = Line1 < 0 and Line2 > 0 and state == state.short;
def StrongSell = Line1 < 0 and Line2 <= 0 and state == state.short;

plot GU = BuySignal;
GU.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
GU.SetDefaultColor(GetColor(8));
GU.SetLineWeight(2);

plot GX = SellSignal;
GX.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);
GX.SetDefaultColor(GetColor(8));
GX.SetLineWeight(2);

AssignPriceColor(if Buy then Color.DARK_GREEN else if StrongBuy then Color.GREEN else if Sell then Color.DARK_RED else if StrongSell then Color.RED else Color.BLUE);

AddLabel(yes, Concat("Current Reading is ", (if Buy then "Up Trend" else if StrongBuy then "Strong Up Trend" else if Sell then "Down Trend" else if StrongSell then "Strong Down Trend" else "Neutral")),  if Buy then Color.DARK_GREEN else if StrongBuy then Color.GREEN else if Sell then Color.DARK_RED else if StrongSell then Color.RED else Color.GRAY);

Shareable Link

https://tos.mx/kZjt1k

I took out the lower study from the original code. If you want to add it, place this at the end of the script above.

declare upper;

input over_bought = 80;
input over_sold = 20;
input KPeriod = 10;
input DPeriod = 10;
input priceH = high;
input priceL = low;
input priceC = close;
input slowing_period = 3;
input smoothingType = {default SMA, EMA};

def lowest_k = Lowest(priceL, KPeriod);
def c1 = priceC - lowest_k;
def c2 = Highest(priceH, KPeriod) - lowest_k;
def FastK = if c2 != 0 then c1 / c2 * 100 else 0;

def FullK;
def FullD;

switch (smoothingType) {
case SMA:
    FullK = Average(FastK, slowing_period);
    FullD = Average(FullK, DPeriod);
case EMA:
    FullK = ExpAverage(FastK, slowing_period);
    FullD = ExpAverage(FullK, DPeriod);
}

def pricefilterup = if close > close[50] then 1 else 0;
def pricefilterdown = if close < close [50] then 1 else 0;

def OverBoughtAdd = if FullK < over_bought and FullK[1] >= over_bought then 1 else 0;
def OverSoldAdd = if FullK > over_sold and FullK[1] <= over_sold then 1 else 0;

def na = Double.NaN;

#Plot arrows
plot up = if StrongBuy and OverSoldAdd  and pricefilterup then low - (3 * TickSize()) else na;
plot down = if StrongSell and OverBoughtAdd and pricefilterdown then high + (3 * TickSize()) else na;
up.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
down.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);

in the above code, strong buy and strong sell are not defined. Can you please add them?
Thanks,