Trend Painter Indicator With Buy & Sell Signals for ThinkorSwim

@BenTen What moving average crossover is used in your multicolor trend painter? I am trying to clean up my screen. I keep finding new indicators but find that your trend indicator with buy / sell signals seem to work the best for me. I would like to use the same moving averages
 
@kshires4 Probably the best thing to do is to look for clues within the code. It appears that @BenTen is using an Adaptive Moving Average with the following definitions.

Code: 
input FastLengthShort = 5;
input SlowLengthShort = 15;
input FastLengthLong = 10;
input SlowLengthLong = 25;

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

He appears to be using 5/15 period for short and 10/25 period for long.
 
BenTen said:
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.

Mu10xA0.png


EZfSLx0.png


thinkScript Code

Rich (BB 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.

Rich (BB code): 
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);
Click to expand...

So do these colors basically match the four market stages,Accumulation,Acceleration,Distribution,Deceleration?Because thats what it look like to me.
 
Try using this on your chart its a bit more accurate than the one you have and below is the code for the column just change the time frame in thinkscript at the top for what you prefer @Piper2808t

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(" ", (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);



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(" ", (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);
 
@BenTen
I changed the code to the one provided above by K_O_Trader.
Seems ok now.
However, when I add the condition into the scan, the drop down only says "TrailingStop" and not "Bull" or "Bear" as in the video you provided.
Please advise. Thank you very much for your time.
 
@BenTen I have been visiting the site and gaining invaluable insight regarding thinkscript from the forum. I have started using the trendpainter on my charts and I must say thank you to you and the other members. Recently, I decided to try my hand at altering the code as I didn't want to be reviewing charts to determine if there was a buy signal etc. Therefore, I tweaked the trendpainter to use on my watchlist. The watchlist would correspond to the charts. Please see below the watchlist custom thinkscript that I added to the trendpainter script.

Code: 
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"));

Trend-Painter-Watchlist.jpg
 
@K_O_Trader I'd like to set up a scanner based on your Trend Painter of June 11th. I'd like it to scan for a buy signal on a smaller time frame (eg. 1 hr. or 30 min.) while the daily chart is in an Uptrend or Strong Uptrend. How would you suggest I do that?
Thanks in advance.
 
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