Repaints B4 Balanced BB Breakout For ThinkOrSwim

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This morning I watched the fw_dpo_mobo on my charts, mostly 15 min timeframe. What did I miss that makes it superior to the MACD_BB? From what I saw, the MACD_BB kept me from taking false fw_dpo_mobo signals. The latter was printing signal arrows while the MACD_BB dots were grayed out and signaling no trade. When the fw_dpo_mobo did give accurate signals, sometimes they came at the same time as the MACD_BB. Sometimes the MACD_BB was a candle or two earlier.

Not trying to be critical, @swazz. Just wondering what did I miss that is so appealing about the fw_dpo_mobo?
May be I was using different settings on macd length that made the difference. which one to use? 25 0r 9? I see fw__dpo_mobo is more sensitive with dpo moving up and down although its above bb_upper. macd stays less sensitive which can be better.
 

Volatility Trading Range

VTR is a momentum indicator that shows if a stock is overbought or oversold based on its Weekly and Monthly average volatility trading range.

Download the indicator

May be I was using different settings on macd length that made the difference. which one to use? 25 0r 9? I see fw__dpo_mobo is more sensitive with dpo moving up and down although its above bb_upper. macd stays less sensitive which can be better.
Also I created a watchlist based on this with added squeeze. Can @barbaros @cos251 @Trader Raider @Chuck you have a look and refine.

Code:
#################################################################
############          SCAN Variables                    #########
#################################################################


# MACD_BB

input MACDBB_BandLength = 10;
input MACDBB_FastLength = 12;
input MACDBB_SlowLength = 26;
input MACDBB_Length = 5;
input MACDBB_NumDev = 1.0;


input showBreakoutSignals = no;

def MACDBB_Data = MACD(fastLength = MACDBB_FastLength, slowLength = MACDBB_SlowLength, MACDLength = MACDBB_length);


plot MACDBB_Upper = reference BollingerBands(price = MACDBB_data, length = MACDBB_BandLength, Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).UpperBand;

plot MACDBB_Lower = reference BollingerBands(price = MACDBB_data, length = MACDBB_BandLength,Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).Lowerband;

plot MACDBB_Midline = reference BollingerBands(price = MACDBB_data, length = MACDBB_BandLength,
                                               Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).MidLine;
MACDBB_Midline.SetDefaultColor(Color.Gray);
MACDBB_Midline.SetStyle(Curve.FIRM);
MACDBB_MidLine.HideTitle();
MACDBB_MidLine.HideBubble();

plot MACDBB_Line = MACDBB_Data;

MACDBB_Line.SetLineWeight(1);

plot MACDBB_Dots = MACDBB_Data;



# Keltner Channels

input klength = 10;
input factormid = 1.5;
input factorhigh = 1.0;
input factorlow = 2.0;
input averageType = AverageType.EXPONENTIAL;
input trueRangeAverageType = AverageType.EXPONENTIAL;

def shifthigh = factorhigh * MovingAverage(trueRangeAverageType, TrueRange(high, close, low), klength);
def shiftMid = factormid * MovingAverage(trueRangeAverageType, TrueRange(high, close, low), klength);
def shiftlow = factorlow * MovingAverage(trueRangeAverageType, TrueRange(high, close, low), klength);

def average = MovingAverage(averageType, close, klength);

def Upper_Band = average + shiftmid;
def Lower_Band = average - shiftmid;


# Bollinger Bands

input BBLength2 = 10;
input Num_Dev_Dn = -2.4;
input Num_Dev_up = 2.4;
input bb_averageType = AverageType.SIMPLE;

def sDev = StDev(data = close, length = BBLength2);
def MidLine = MovingAverage(bb_averageType, data = close, length = BBLength2);
def LowerBandbb = MidLine + Num_Dev_Dn * sDev;
def UpperBandbb = MidLine + Num_Dev_up * sDev;


def UpperBandKCLow = average + shiftlow;
def LowerBandKCLow = average - shiftlow;

def UpperBandKCMid = average + shiftMid;
def LowerBandKCMid = average - shiftMid;

def UpperBandKCHigh = average + shifthigh;
def LowerBandKCHigh = average - shifthigh;

def K = (Highest(high, klength) + Lowest(low,klength)) /
2 + ExpAverage(close, klength);
def momo = Inertia(close - K / 2, klength);

def pos         = momo >= 0;
def neg         = momo < 0;
def up         = momo >= momo[1];
def dn         = momo < momo[1];


def presqueeze      = LowerBandBB > LowerBandKCLow and UpperBandBB < UpperBandKCLow;
def presqueezein    = LowerBandBB > LowerBandKCLow and UpperBandBB < UpperBandKCLow and lowerBandBB > lowerBandBB[1];
def presqueezeout   = LowerBandBB > LowerBandKCLow and UpperBandBB < UpperBandKCLow and lowerbandbb < lowerbandbb[1];


def originalSqueezein   = LowerBandBB > LowerBandKCMid and UpperBandBB < UpperBandKCMid and lowerbandBB > lowerbandbb[1];
def originalSqueezeout  = LowerBandBB > LowerBandKCMid and UpperBandBB < UpperBandKCMid and lowerbandbb < lowerbandbb[1];


def ExtrSqueeze   = LowerBandBB > LowerBandKCHigh and UpperBandBB < UpperBandKCHigh;







def Squeeze = if Extrsqueeze then 0 else if originalsqueezein then 0 else if originalsqueezeout then 0  else 3 ;



# RSI/STOCASTIC/MACD CONFLUENCE COMBO


input fastLength = 12;
input slowLength = 26;
input MACDLength = 9;
input averageTypeMACD = AverageType.WEIGHTED;
def Value = MovingAverage(averageTypeMACD, close, fastLength) - MovingAverage(averageTypeMACD, close, slowLength);
def Avg = MovingAverage(averageTypeMACD, Value, MACDLength);
plot RSM_MACD_Diff = Value - Avg;



#####

input lengthRSI = 7;
input averageTypeRSI = AverageType.EXPONENTIAL;

def NetChgAvg = MovingAverage(averageTypeRSI, close - close[1], lengthRSI);
def TotChgAvg = MovingAverage(averageTypeRSI, AbsValue(close - close[1]), lengthRSI);
def ChgRatio = if TotChgAvg != 0 then NetChgAvg / TotChgAvg else 0;
def RSM_RSI = 50 * (ChgRatio + 1);

#####


def RSM_Stoch_Val = 100 * (close - lowest(low, 14)) / (highest(high, 14) - lowest(low, 14));
def RSM_StochSlowK = SimpleMovingAvg(SimpleMovingAvg(RSM_Stoch_Val,3),3);




def RSM_rsiGreen = RSM_RSI >= 50;
def RSM_rsiRed = RSM_RSI < 50;
def RSM_stochGreen = RSM_StochSlowK >= 50;
def RSM_stochRed = RSM_StochSlowK < 50;
def RSM_macdGreen = RSM_MACD_Diff >= 0;
def RSM_macdRed = RSM_MACD_Diff < 0;
def RSM_Buy = RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen;
def RSM_Sell = RSM_rsiRed and RSM_stochRed and RSM_macdRed;


input price= close;

def avgexpo = MovingAverage(averageType, price, klength);
def RSM_EMAGreen = close > avgexpo;
def RSM_EMARed = close < avgexpo;


# Shade areas based on criteria; adjust as needed


###################################################


# If you want to scan for stocks that are not in either trend you can add two filters and scan for false for both conditions

# The UpTrend and DownTrend plots can be used to scan for stocks that are currently in that trend

def UPP = MACDbb_Line >0 and MACDbb_Line > MACDbb_Line[1] and MACDbb_Line >macdbb_upper and RSM_Buy and squeeze ==3 ;
def DOWN =  MACDbb_Line <0 and MACDbb_Line < MACDbb_Line[1] and MACDbb_Line < macdbb_lower and RSM_Sell and squeeze ==3;;
def UpTrend = MACDbb_Line > MACDbb_Line[1] and MACDbb_Line > macdbb_upper and macdbb_line < 0 and RSM_Buy and squeeze ==3;
def DownTrend = MACDbb_Line < MACDbb_Line[1] and MACDbb_Line < macdbb_lower  and macdbb_line > 0 and RSM_Sell and squeeze ==3;;


# The UpTrendJustStarted and DownTrendJustStarted plots can be used to find stocks that have just started
# a trend in either direction

def UpTrendJustStarted =  MACDbb_Line crosses above macdbb_upper and RSM_Buy and squeeze ==3;
def DownTrendJustStarted =  MACDbb_line crosses below macdbb_lower and RSM_Sell and squeeze ==3;;

def Downtrendended = MACDbb_Line > MACDbb_Line[1] and macdbb_line <macdbb_upper and RSM_Buy and squeeze ==3;;
def Uptrendended = MACDbb_Line < MACDbb_Line[1]  and macdbb_line > macdbb_lower and RSM_Sell and squeeze ==3;



###################################################

def GetTrend = if  UptrendJustStarted then 8 else if Uptrend then 9 else if UPP then 3  else if DownTrendJustStarted then -8 else if DownTrend then -9 else if DOWN then -3 else if Downtrendended then 7 else if Uptrendended then -7  else 0;
###################################################



def count = if macdbb_line>= macdbb_upper then if macdbb_dots >macdbb_dots[1] then count[1]+1 else 0 else if macdbb_line<= macdbb_lower then if macdbb_dots <macdbb_dots[1] then count[1]+1 else 0 else 0;

def barnumber = if count == 0 then barNumber[1]+1 else 0;


def macdsar = macdbb_dots - macdbb_dots[1];


###################################################
def MBullish =  gettrend == 3 and squeeze ==3;
def MBearish =  gettrend == -3  and squeeze ==3;

def BBullish =  gettrend == 8 and squeeze ==3;
def BBearish =  gettrend == -8  and squeeze ==3;

def SBullish = gettrend == 9  and squeeze ==3;
def SBearish =  gettrend == -9 and squeeze ==3;

def ABullish = gettrend == 7 and squeeze ==3;
def ABearish =  gettrend == -7 and squeeze ==3;

assignbackgroundcolor( if MBullish then color.lime else if MBearish then color.magenta else if  BBullish then color.dark_green else if BBearish then color.dark_red else if SBullish then color.green else if SBearish then color.red else if Abullish then color.cyan else if Abearish then color.yellow else color.white);
addlabel(yes, if MBullish then "0UP" + count else if MBearish then "Fdown" + count   else  if  BBullish then "ABull" + count else if BBearish then "GBear" + count else if SBullish then "BBull" + count else if SBearish then "HBear" + count   else if Abullish then "Dbull" else if Abearish then "Jbear" else  "ynos", color.black);
 
Last edited:
Yes, it works.


A quick check of about half the symbols show all 3 signals firing. On a 5m chart though, you have to be quick because BOP throws off so many signals. While I was checking, BOP was already printing signals that contradicted the RSI_IFT and and FST on some of these instruments.

Best wishes and happy trading.
What is the complete code at the end of the first line of your scanner " bull bear Include rsiift" =no ?
Thanks
 

Balanced BB Breakout-"B4"


Thanks to all the talented people who have dedicated time and effort to this indicator.
All I did was see an opportunity to mix all of my favorite indicators into one great lower study that helped keep my upper chart clean and at the same time provide me with a great amount of info to trade.

I myself have only been using this for a few months, In that time it has helped me as a trader. Comments are welcome. Let me know how you use it, how it works for your trades!

This is how I like to trade this indicator and it is not to be considered trading advise. Many people are asking how I use this indicator so I decided to explain how I personally like you use this. This info is for educational purposes only. This info will be updated to reflect each new version as it evolves.

  • I usually trade in the direction of the MACDBB mid line. The trend label is synced with that and will help keep you in the right direction.
  • I like to see confirmation with the Market Forecast and the trend label. I find a neutral trend is not my friend as it usually will chop me out of profit.
  • The MACDBB Cloud in the original version incorporated the use of Keltner Channel to determine a squeeze, the newer versions employ a stocastic squeeze. A yellow (default) cloud will appear on the bands when this condition is meet. Price has a tendency to breakout after a squeeze. This is where I like to be set up waiting for an entry.
  • The Bollinger Bands when contracted show an area of consolidation or a point of equilibrium. These levels are often areas of supply and demand or support and resistance. When the band is tight and the MACDBB Dotted Line crosses over the top band It is typically a strong move to the up side, just the opposite in the inverse.
  • By default, the alerts crossing for the bands from both directions is set to zero.
  • Some people may want to enter a position upon the MACDBB dotted Line crossing the BB bands Upper, Lower, Or Middle line. You will have to play with it and figure out what works best for you. The alerts from this will not give you an absolute top or absolute bottom. But serves as a good indication of price aggregation.
  • The clouds in the background are a confluent combination of RSI, STOCASTIC and MACD. That’s why it is referred to as RSM. When the signals are confluent, they will either be Red or Green by default. When they are not in agreement it is likely you are in inflight turbulence or a change of investor sentiment.
  • For my first confirmation of a trade, I watch the MACDBB dots line. Before the line turns grey it should turn dark red or dark green. That’s when I am alerted, I use that as my lead while using this indicator.
  • When the MACDBB dots line turns gray, that is an area of indecision and as soon as that line crosses the MACDBB middle line, I look for secondary confirmation to confirm entry or exit, I do this on entries and exits.
  • For those looking to get a better exit on the RSI_IFT strategy, perhaps this will alert you, we are working on a solution now to provide a more reasonable exit for this stratigy. I have an add-on that is almost complete that will be of assistance in determining an exit, and will update you all when we finish it.
  • Personally with my risk tolerance, I find that when the MACDBB dots line turns gray when I am in a long position and crosses over the top BB line, I usually exit my position. I then wait for the pull back or a continuation. I find personally that the commission fee for exiting out ways the 100’s of dollars I risk or lose if the position changes direction at that time. I do the inverse for shorts.
THIS PORTION IS FOR THE EARLIER VERSIONS WITH THE P/L AND MACD HISTOGRAM ARROWS OPTIONS (Might be a future Add_On or even a rework once we finalize the stratigies)
  • For each instrument that I trade I can run a P/L analysis.
  • NOTE: The profit calculator uses the chart settings for bar #1 to start the strategy and calculates P/L for the amount of trades thereafter. I look at the P/L and how it differs based on changing the timeframe - so if 5m looks better than 3, I would probably go with 5m. Of course, past performance is not indicative of future results, but I like to trade what I see.
  • The first thing I do is back test it on the instrument I want to trade. Using a 1D chart with time intervals of 2m,3m,5m,10m,15m, etc. and check out the P/L to see what time frame is the most profitable, considering my risk and max drawdown. At this time, I also like to switch between the built-in strategies to see which one would have made me the most money and probably choose that one. You will not trade exactly like the strategy, but I feel it is a good start. I like to have probability in my favor. that’s why I put that strategy on my lower indicators.
  • I have all the arrows turned on in my version and I look for the arrows, or histogram, or colored cloud background, in accordance with the selected strategy entry line or my entries also considering the other signals and price indications I am getting from the candles and other indicators in my final evaluation.



Latest Version Update v2.5

Changes made to this version:

  • cleanup, changed divergance to text, show stoch labels all the time
  • added trend squeeze label for BB, added alerts for Stoch Scalper
  • added options to hide clouds and labels(thanks to the users for making this suggestion)
  • changed trend and divergence colors and text to match
  • removed volume and keltner channel studies, unified squeeze
To select the strategy you wish just navigate to your study and select the one you wish in the "bull bear" dropdown.

Do some backtesting and find out what strategy works best for you, each can be used on interday, swing and long term investing. You will have to decide what strategy suits your particular risk tolerance and trading style.

INSTALLATION

https://tos.mx/pyw9xCd


1) Copy the link below:

2) Go to the main window of the TOS platform and click “Setup” followed by “Open Shared Item.”
3) An “Open Shared Item” window will pop up. Paste the link (using Control – V) into the box and click “Preview.”
4) Click “Open” and the Balanced BB Breakout script will download to your platform.
5) Click “Rename” and type in “Balanced BB Breakout”
6) Go to TOS charts: click “Studies” and “Edit Studies.” Select the “Balanced BB Breakout” study from the list of studies on the left and click “Add selected.” Click “OK” and the Balanced BB Breakout study will be applied to your chart.
--------------------------------------------------------------------------------------------------------------------------------------------


Code:
# Balanced BB Breakout Indicator
# Free for use. Header credits must be included when any form of the code included in this package is used.
# User assumes all risk. Author not responsible for errors or use of tool.
# v1.2 - Assembled by Chuck Edwards
# v2.0 - Barbaros - cleanup
# v2.1 - Barbaros - added RSI IFT, NumberOfShares, BB crossing options
# v2.2 - Barbaros - fixed PnL issues and removed intraDay filter
# v2.3 - Barbaros - changed input and variable names, RSM is re-done
# v2.4 - Barbaros - removed PnL, added strategy signal arrows and alerts,
#                   added Fibonacci SuperTrend, added unified bar color selection
# v2.5 - Chuck    - added divergence and squeeze label, added squeeze alert
#        Barbaros - cleanup, changed divergance to text, show stoch labels all the time
#        Barbaros - added trend squeeze label for BB, added alerts for Stoch Scalper
#        Barbaros - added options to hide clouds and labels
#        Barbaros - changed trend and divergence colors and text to match
#        Barbaros - removed volume and keltner channel studies, unified squeeze
# v2.6 - Barbaros - optimizations, added hints and separated out BullBear options for combinations

declare lower;

input ShowMarketForecastLabel = yes;        #hint ShowMarketForecastLabel: Show the intermediate Market Forecast label
input ShowMACDBBLabel = yes;                #hint ShowMACDBBLabel: Show the MACDBB based Trend label
input ShowMACDBBCloud = no;                 #hint ShowMACDBBCloud: Show the MACDBB cloud shaded between BB
input ShowRSMCloud = no;                    #hint ShowRSMCloud: Show the vertical cloud based on RSM
input ShowHMALabel = yes;                   #hint ShowHMALabel: Show HUll Moving Average based Divergence label
input ShowSTOCHSCALPERSqueezeLabel = yes;   #hint ShowSTOCHSCALPERSqueezeLabel: Show Stochastic Scalper based squeeze label
input ShowSTOCHSCALPERSqueezeCloud = yes;   #hint ShowSTOCHSCALPERSqueezeCloud: Show Stochastic Scalper based squeeze cloud between BB
input ShowBullBearVerticalLines = yes;      #hint ShowBullBearVerticalLines: Show vertical lines for bullish or bearish direction

### Market Forecast

def pIntermediate = MarketForecast().Intermediate;

AddLabel(ShowMarketForecastLabel,
    "Market Forecast " +
    if pIntermediate >= 80 then "Bullish" else
    if pIntermediate <= 20 then "Bearish" else
    if pIntermediate > pIntermediate[1] then "Rising" else
    if pIntermediate < pIntermediate[1] then "Falling" else "Neutral",
    if pIntermediate >= 80 then Color.GREEN else
    if pIntermediate <= 20 then Color.RED else
    if pIntermediate > pIntermediate[1] then Color.LIGHT_GREEN else
    if pIntermediate < pIntermediate[1] then Color.LIGHT_RED else Color.GRAY
);

### MACDBB

input MACDBB_FastLength = 12;
input MACDBB_SlowLength = 26;
input MACDBB_BandLength = 15;
input MACDBB_NumDev = 1.0;

def MACDBB_Data = MACD(fastLength = MACDBB_FastLength, slowLength = MACDBB_SlowLength, MACDLength = 5);

plot MACDBB_Upper = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                             Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).UpperBand;
MACDBB_Upper.SetDefaultColor(Color.RED);
MACDBB_Upper.HideTitle();
MACDBB_Upper.HideBubble();

plot MACDBB_Lower = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                             Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).Lowerband;
MACDBB_Lower.SetDefaultColor(Color.GREEN);
MACDBB_Lower.HideTitle();
MACDBB_Lower.HideBubble();

plot MACDBB_Midline = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                               Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).MidLine;
MACDBB_Midline.SetDefaultColor(Color.LIGHT_RED);
MACDBB_Midline.SetStyle(Curve.FIRM);
MACDBB_MidLine.HideTitle();
MACDBB_MidLine.HideBubble();

plot MACDBB_Line = MACDBB_Data;
MACDBB_Line.AssignValueColor(
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line >= MACDBB_Upper then Color.GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line >= MACDBB_Upper then Color.DARK_GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line <= MACDBB_Lower then Color.RED else
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line <= MACDBB_Lower then Color.DARK_RED
    else Color.GRAY
);
MACDBB_Line.SetLineWeight(1);

plot MACDBB_Dots = MACDBB_Data;
MACDBB_Dots.AssignValueColor(
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.DARK_GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.RED
    else if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.DARK_RED
    else Color.GRAY
);
MACDBB_Dots.SetPaintingStrategy(PaintingStrategy.LINE_VS_POINTS);
MACDBB_Dots.SetLineWeight(1);
MACDBB_Dots.HideTitle();
MACDBB_Dots.HideBubble();

input MACDBB_CrossFromAboveAlert = {default "Zero", "Lower", "Middle", "Upper"};
input MACDBB_CrossFromBelowAlert = {default "Zero", "Lower", "Middle", "Upper"};

def MACDBB_CrossFromAboveVal = if MACDBB_CrossFromAboveAlert == MACDBB_CrossFromAboveAlert.Lower then MACDBB_Lower
                               else if MACDBB_CrossFromAboveAlert == MACDBB_CrossFromAboveAlert.Upper then MACDBB_Upper
                              else 0;
def MACDBB_CrossFromBelowVal = if MACDBB_CrossFromBelowAlert == MACDBB_CrossFromBelowAlert.Lower then MACDBB_Lower
                               else if MACDBB_CrossFromBelowAlert == MACDBB_CrossFromBelowAlert.Upper then MACDBB_Upper
                               else 0;

def MACDBB_Buy = MACDBB_Data > MACDBB_Upper;
def MACDBB_Sell = MACDBB_Data <= MACDBB_Lower;

AddLabel(ShowMACDBBLabel,
    "Trend " +
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then "Bullish"
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then "Bullish (decreasing)"
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then "Bearish"
    else if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then "Bearish (increasing)"
    else "Neutral",
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.DARK_GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.RED
    else if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.DARK_RED
    else Color.GRAY
);

AddCloud(if ShowMACDBBCloud then MACDBB_Upper else MACDBB_Lower, MACDBB_Lower, Color.LIGHT_RED);

### RSI/STOCASTIC/MACD CONFLUENCE COMBO

plot RSM_MACD_Diff = reference MACD("fast length" = 12, "slow length" = 26, "macd length" = 9).Diff;
RSM_MACD_Diff.SetDefaultColor(GetColor(5));
RSM_MACD_Diff.SetPaintingStrategy(PaintingStrategy.HISTOGRAM);
RSM_MACD_Diff.SetLineWeight(4);
RSM_MACD_Diff.DefineColor("Positive and Up", Color.GREEN);
RSM_MACD_Diff.DefineColor("Positive and Down", Color.DARK_GREEN);
RSM_MACD_Diff.DefineColor("Negative and Down", Color.RED);
RSM_MACD_Diff.DefineColor("Negative and Up", Color.DARK_RED);
RSM_MACD_Diff.AssignValueColor(
    if RSM_MACD_Diff >= 0 then
        if RSM_MACD_Diff > RSM_MACD_Diff[1] then RSM_MACD_Diff.Color("Positive and Up") else RSM_MACD_Diff.Color("Positive and Down")
    else
        if RSM_MACD_Diff < RSM_MACD_Diff[1] then RSM_MACD_Diff.Color("Negative and Down") else RSM_MACD_Diff.Color("Negative and Up")
);

plot RSM_MACD_ZeroLine = 0;
RSM_MACD_ZeroLine.SetDefaultColor(Color.RED);
RSM_MACD_ZeroLine.HideTitle();
RSM_MACD_ZeroLine.HideBubble();

def RSM_RSI = reference RSI(length = 7).RSI;

def RSM_Stoch_Val = 100 * (close - lowest(low, 14)) / (highest(high, 14) - lowest(low, 14));
def RSM_StochSlowK = SimpleMovingAvg(SimpleMovingAvg(RSM_Stoch_Val,3),3);

def RSM_rsiGreen = RSM_RSI >= 50;
def RSM_rsiRed = RSM_RSI < 50;
def RSM_stochGreen = RSM_StochSlowK >= 50;
def RSM_stochRed = RSM_StochSlowK < 50;
def RSM_macdGreen = RSM_MACD_Diff >= 0;
def RSM_macdRed = RSM_MACD_Diff < 0;
def RSM_Buy = RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen;
def RSM_Sell = RSM_rsiRed and RSM_stochRed and RSM_macdRed;

# Shade areas based on criteria; adjust as needed

AddCloud(
    if ShowRSMCloud and RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen then Double.POSITIVE_INFINITY else Double.NaN,
    if ShowRSMCloud and RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen then Double.NEGATIVE_INFINITY else Double.NaN, Color.LIGHT_GREEN
);
AddCloud(
    if ShowRSMCloud and RSM_rsiRed and RSM_stochRed and RSM_macdRed then Double.POSITIVE_INFINITY else Double.NaN,
    if ShowRSMCloud and RSM_rsiRed and RSM_stochRed and RSM_macdRed then Double.NEGATIVE_INFINITY else Double.NaN, Color.LIGHT_RED
);

### Divergance
input HMA_Length = 55;
input HMA_Lookback = 2;

def HMA = HullMovingAvg(price = HL2, length = HMA_Length);
def HMA_delta = HMA[1] - HMA[HMA_Lookback + 1];
def HMA_delta_per_bar = HMA_delta / HMA_Lookback;
def HMA_next_bar = HMA[1] + HMA_delta_per_bar;
def HMA_concavity = if HMA > HMA_next_bar then 1 else -1;
def HMA_MA_Max = if HMA[-1] < HMA and HMA > HMA[1] then HMA else Double.NaN;
def HMA_MA_Min = if HMA[-1] > HMA and HMA < HMA[1] then HMA else Double.NaN;
def HMA_divergence = HMA - HMA_next_bar;

AddLabel(ShowHMALabel,
        "Divergence " +
        if HMA_concavity < 0 then
            if HMA_divergence[1] > HMA_divergence then "Bearish (increasing)"
            else "Bearish"
        else
            if HMA_divergence[1] < HMA_divergence then "Bullish (decreasing)"
            else "Bullish",
        if HMA_concavity < 0 then
            if HMA_divergence[1] > HMA_divergence then Color.DARK_RED
            else Color.RED
        else
            if HMA_divergence[1] < HMA_divergence then Color.DARK_GREEN
            else Color.GREEN
);

### Stocastic Scalper

def STOCHSCALPER_oSS = (open[1] + close[1]) / 2;
def STOCHSCALPER_hSS = Max(high, close[1]);
def STOCHSCALPER_lSS = Min(low, close[1]);
def STOCHSCALPER_cSS = (STOCHSCALPER_oSS + STOCHSCALPER_hSS + STOCHSCALPER_lSS + close) / 4;

def STOCHSCALPER_mean = Average(STOCHSCALPER_cSS, 20);
def STOCHSCALPER_sd = StDev(STOCHSCALPER_cSS, 20);
def STOCHSCALPER_atr = Average(TrueRange(STOCHSCALPER_cSS, STOCHSCALPER_hSS, STOCHSCALPER_lSS), 20);
def STOCHSCALPER_squeeze = if (STOCHSCALPER_mean + (2 * STOCHSCALPER_sd)) < (STOCHSCALPER_mean + (1.5 * STOCHSCALPER_atr)) then yes else no;
def STOCHSCALPER_squeeze_signal = !STOCHSCALPER_squeeze[1] and STOCHSCALPER_squeeze;

AddCloud(if ShowSTOCHSCALPERSqueezeCloud and STOCHSCALPER_squeeze then MACDBB_Upper else Double.NaN,
         if ShowSTOCHSCALPERSqueezeCloud and STOCHSCALPER_squeeze then MACDBB_Lower else Double.NaN, Color.YELLOW);
AddLabel(ShowSTOCHSCALPERSqueezeLabel, "Scalper Squeeze", if STOCHSCALPER_squeeze then Color.WHITE else Color.GRAY);

### Balance of Power

input BOP_EMA_Length = 20;
input BOP_TEMA_Length = 20;

def BOP_THL = If(high != low, high - low, 0.01);
def BOP_BullOpen = (high - open) / BOP_THL;
def BOP_BearOpen = (open - low) / BOP_THL;
def BOP_BullClose = (close - low) / BOP_THL;
def BOP_BearClose = (high - close) / BOP_THL;
def BOP_BullOC = If(close > open, (close - open) / BOP_THL, 0);
def BOP_BearOC = If(open > close, (open - close) / BOP_THL, 0);
def BOP_BullReward = (BOP_BullOpen + BOP_BullClose + BOP_BullOC) / 1;
def BOP_BearReward = (BOP_BearOpen + BOP_BearClose + BOP_BearOC) / 1;

def BOP_BOP = BOP_BullReward - BOP_BearReward;
def BOP_SmoothBOP = ExpAverage(BOP_BOP, BOP_EMA_Length);
def BOP_xPrice = BOP_SmoothBOP;
def BOP_xEMA1 = ExpAverage(BOP_SmoothBOP, BOP_TEMA_Length);
def BOP_xEMA2 = ExpAverage(BOP_xEMA1, BOP_TEMA_Length);
def BOP_xEMA3 = ExpAverage(BOP_xEMA2, BOP_TEMA_Length);
def BOP_nRes = 3 * BOP_xEMA1 - 3 * BOP_xEMA2 + BOP_xEMA3;

def BOP_SmootherBOP = BOP_nRes;
def BOP_s1 = BOP_SmoothBOP;
def BOP_s2 = BOP_SmootherBOP;
def BOP_s3 = BOP_SmootherBOP[2];
def BOP_Direction = if BarNumber() == 1 then 0
                    else if BOP_s2 < BOP_s3 and BOP_s2[1] > BOP_s3[1] then -1
                    else if BOP_s2 > BOP_s3 and BOP_s2[1] < BOP_s3[1] then 1
                    else BOP_Direction[1];

### RSI IFT

def RSI_IFT_R = reference RSI(5, close) - 50;
def RSI_IFT_AvgRSI = MovingAverage(AverageType.Exponential,RSI_IFT_R,9);
def RSI_IFT_InverseRSI = (Power(Double.E, 2 * RSI_IFT_AvgRSI) - 1) / (Power(Double.E, 2 * RSI_IFT_AvgRSI) + 1);
def RSI_IFT_Direction = if BarNumber() == 0 then 0
                        else if (RSI_IFT_InverseRSI[1] > 0) and (RSI_IFT_InverseRSI < 0) then -1
                        else if (RSI_IFT_InverseRSI > 0) and (RSI_IFT_InverseRSI[1] < 0) then 1
                        else RSI_IFT_Direction[1];

### Fibonacci SuperTrend

input FST_Length = 11;
input FST_Retrace = 23.6;
input FST_UseHighLow = yes;

def FST_h = if FST_UseHighLow then high else close;
def FST_l = if FST_UseHighLow then low else close;
def FST_minL = Lowest(FST_l, FST_Length);
def FST_maxH = Highest(FST_h, FST_Length);

def FST_hh = if FST_h > FST_maxH[1] then FST_h else FST_hh[1];
def FST_ll = if FST_l < FST_minL[1] then FST_l else FST_ll[1];
def FST_trend = if FST_h > FST_maxH[1] then 1 else if FST_l < FST_minL[1] then -1 else FST_trend[1];
def FST_Direction = if BarNumber() == 0 then 0
                    else if FST_trend != 1 then -1
                    else if FST_trend == 1 then 1
                    else FST_Direction[1];

### Bar Color

input BarColor = { "None", default "RSM", "FibonacciSuperTrend" };    #hint BarColor: Paint bars with RSM or Fibonacci SuperTrend direction

AssignPriceColor(
    if BarColor == BarColor.FibonacciSuperTrend then
        if FST_trend == 1 then Color.GREEN else Color.RED
    else if BarColor == BarColor.RSM then
        if RSM_Buy then Color.GREEN
        else if RSM_Sell then Color.RED
        else Color.DARK_GRAY
    else Color.CURRENT
);

### Strategy

input BullBear_Include_BOP = no;        #hint BullBear_Include_BOP: Include Balance of Power in the vertical line strategy
input BullBear_Include_FST = yes;       #hint BullBear_Include_FST: Include Fibonacci SuperTrend in the vertical line strategy
input BullBear_Include_RSI_IFT = yes;   #hint BullBear_Include_RSI_IFT: Include RSI IFT in the vertical line strategy

def BullBear_Buy = (!BullBear_Include_BOP or BOP_Direction == 1) and
                   (!BullBear_Include_FST or FST_Direction == 1) and
                   (!BullBear_Include_RSI_IFT or RSI_IFT_Direction == 1);
def BullBear_Sell = (!BullBear_Include_BOP or BOP_Direction == -1) and
                    (!BullBear_Include_FST or FST_Direction == -1) and
                    (!BullBear_Include_RSI_IFT or RSI_IFT_Direction == -1);

AddVerticalLine(ShowBullBearVerticalLines and BullBear_Buy and !BullBear_Buy[1],
                AsDollars(close),
                Color.GREEN, Curve.SHORT_DASH);
AddVerticalLine(ShowBullBearVerticalLines and BullBear_Sell and !BullBear_Sell[1],
                AsDollars(close),
                Color.RED, Curve.SHORT_DASH);

def Strategy_Buy = BullBear_Buy and MACDBB_Buy and RSM_Buy;
def Strategy_Sell = BullBear_Sell and MACDBB_Sell and RSM_Sell;
def Strategy_BuySignal = Strategy_Buy and !Strategy_Buy[1];
def Strategy_SellSignal = Strategy_Sell and !Strategy_Sell[1];

plot BuyArrow = if Strategy_BuySignal then 0 else Double.NaN;
BuyArrow.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
BuyArrow.SetDefaultColor(Color.WHITE);
BuyArrow.HideTitle();
BuyArrow.HideBubble();

plot SellArrow = if Strategy_SellSignal then 0 else Double.NaN;
SellArrow.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);
SellArrow.SetDefaultColor(Color.WHITE);
SellArrow.HideTitle();
SellArrow.HideBubble();

### Alerts

Alert(Strategy_BuySignal, "Long Entry", Alert.BAR, Sound.DING);
Alert(Strategy_SellSignal, "Short Entry", Alert.BAR, Sound.DING);
Alert(MACDBB_Line crosses above MACDBB_CrossFromAboveVal, "MACDBB Crossed Up", Alert.BAR, Sound.DING);
Alert(MACDBB_Line crosses below MACDBB_CrossFromBelowVal, "MACDBB Crossed Down", Alert.BAR, Sound.DING);
Alert(STOCHSCALPER_squeeze_signal, "Scalper Squeeze", Alert.BAR, Sound.DING);


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


Balanced BB Breakout Bullish/Bearish Scanner:

Due to limitations in TOS, and the complexity of the study, some features had to be omitted from the scanner.
Most options are kept. It works exactly like the chart arrows.
If you want buy signal, you set the value to 1. If you want sell signal, you set the value to -1.

Give this new version a try and let us know how it works:

Code:
#
# Balanced BB Breakout Scanner
#
# Free for use. Header credits must be included when any form of the code included in this package is used.
# User assumes all risk. Author not responsible for errors or use of tool.
#
# v1.2 - Assembled by Chuck Edwards
# v2.0 - Barbaros - Scanner Update, removed Market Forecast, HULL Concavity and Squeeze due to ToS limitation
# v2.1 - Barbaros - Separated out BullBear options for combinations

### MACDBB

input MACDBB_FastLength = 12;
input MACDBB_SlowLength = 26;
input MACDBB_Length = 25;
input MACDBB_BandLength = 15;
input MACDBB_NumDev = 1.0;

def MACDBB_Data = MACD(fastLength = MACDBB_FastLength, slowLength = MACDBB_SlowLength, MACDLength = MACDBB_Length);
def MACDBB_Upper = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                             Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).UpperBand;;
def MACDBB_Lower = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                             Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).Lowerband;
def MACDBB_Buy = MACDBB_Data > MACDBB_Upper;
def MACDBB_Sell = MACDBB_Data <= MACDBB_Lower;

### RSI/STOCASTIC/MACD CONFLUENCE COMBO

def RSM_MACD_Diff = reference MACD(fastLength = 12, slowLength = 26, MACDLength = 9).Diff;
def RSM_MACD_ZeroLine = 0;
def RSM_RSI = reference RSI(length = 7).RSI;
def RSM_Stoch_Val = 100 * (close - lowest(low, 14)) / (highest(high, 14) - lowest(low, 14));
def RSM_StochSlowK = SimpleMovingAvg(SimpleMovingAvg(RSM_Stoch_Val,3),3);

def RSM_rsiGreen = RSM_RSI >= 50;
def RSM_rsiRed = RSM_RSI < 50;
def RSM_stochGreen = RSM_StochSlowK >= 50;
def RSM_stochRed = RSM_StochSlowK < 50;
def RSM_macdGreen = RSM_MACD_Diff >= 0;
def RSM_macdRed = RSM_MACD_Diff < 0;
def RSM_Buy = RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen;
def RSM_Sell = RSM_rsiRed and RSM_stochRed and RSM_macdRed;

### Balance of Power

input BOP_EMA_Length = 20;
input BOP_TEMA_Length = 20;

def BOP_THL = If(high != low, high - low, 0.01);
def BOP_BullOpen = (high - open) / BOP_THL;
def BOP_BearOpen = (open - low) / BOP_THL;
def BOP_BullClose = (close - low) / BOP_THL;
def BOP_BearClose = (high - close) / BOP_THL;
def BOP_BullOC = If(close > open, (close - open) / BOP_THL, 0);
def BOP_BearOC = If(open > close, (open - close) / BOP_THL, 0);
def BOP_BullReward = (BOP_BullOpen + BOP_BullClose + BOP_BullOC) / 1;
def BOP_BearReward = (BOP_BearOpen + BOP_BearClose + BOP_BearOC) / 1;

def BOP_BOP = BOP_BullReward - BOP_BearReward;
def BOP_SmoothBOP = ExpAverage(BOP_BOP, BOP_EMA_Length);
def BOP_xPrice = BOP_SmoothBOP;
def BOP_xEMA1 = ExpAverage(BOP_SmoothBOP, BOP_TEMA_Length);
def BOP_xEMA2 = ExpAverage(BOP_xEMA1, BOP_TEMA_Length);
def BOP_xEMA3 = ExpAverage(BOP_xEMA2, BOP_TEMA_Length);
def BOP_nRes = 3 * BOP_xEMA1 - 3 * BOP_xEMA2 + BOP_xEMA3;

def BOP_SmootherBOP = BOP_nRes;
def BOP_s1 = BOP_SmoothBOP;
def BOP_s2 = BOP_SmootherBOP;
def BOP_s3 = BOP_SmootherBOP[2];
def BOP_Direction = if BarNumber() == 1 then 0
                    else if BOP_s2 < BOP_s3 and BOP_s2[1] > BOP_s3[1] then -1
                    else if BOP_s2 > BOP_s3 and BOP_s2[1] < BOP_s3[1] then 1
                    else BOP_Direction[1];

### RSI IFT

def RSI_IFT_R = reference RSI(5, close) - 50;
def RSI_IFT_AvgRSI = MovingAverage(AverageType.Exponential,RSI_IFT_R,9);
def RSI_IFT_InverseRSI = (Power(Double.E, 2 * RSI_IFT_AvgRSI) - 1) / (Power(Double.E, 2 * RSI_IFT_AvgRSI) + 1);
def RSI_IFT_Direction = if BarNumber() == 0 then 0
                        else if (RSI_IFT_InverseRSI[1] > 0) and (RSI_IFT_InverseRSI < 0) then -1
                        else if (RSI_IFT_InverseRSI > 0) and (RSI_IFT_InverseRSI[1] < 0) then 1
                        else RSI_IFT_Direction[1];

### Fibonacci SuperTrend

input FST_Length = 11;
input FST_Retrace = 23.6;
input FST_UseHighLow = yes;

def FST_h = if FST_UseHighLow then high else close;
def FST_l = if FST_UseHighLow then low else close;
def FST_minL = Lowest(FST_l, FST_Length);
def FST_maxH = Highest(FST_h, FST_Length);

def FST_hh = if FST_h > FST_maxH[1] then FST_h else FST_hh[1];
def FST_ll = if FST_l < FST_minL[1] then FST_l else FST_ll[1];
def FST_trend = if FST_h > FST_maxH[1] then 1 else if FST_l < FST_minL[1] then -1 else FST_trend[1];
def FST_Direction = if BarNumber() == 0 then 0
                    else if FST_trend != 1 then -1
                    else if FST_trend == 1 then 1
                    else FST_Direction[1];

### Strategy

input BullBear_Include_BOP = no;        #hint BullBear_Include_BOP: Include Balance of Power in the vertical line strategy
input BullBear_Include_FST = yes;       #hint BullBear_Include_FST: Include Fibonacci SuperTrend in the vertical line strategy
input BullBear_Include_RSI_IFT = yes;   #hint BullBear_Include_RSI_IFT: Include RSI IFT in the vertical line strategy

def BullBear_Buy = (!BullBear_Include_BOP or BOP_Direction == 1) and
                   (!BullBear_Include_FST or FST_Direction == 1) and
                   (!BullBear_Include_RSI_IFT or RSI_IFT_Direction == 1);
def BullBear_Sell = (!BullBear_Include_BOP or BOP_Direction == -1) and
                    (!BullBear_Include_FST or FST_Direction == -1) and
                    (!BullBear_Include_RSI_IFT or RSI_IFT_Direction == -1);

def Strategy_Buy = BullBear_Buy and MACDBB_Buy and RSM_Buy;
def Strategy_Sell = BullBear_Sell and MACDBB_Sell and RSM_Sell;

plot StrategyArrow = if Strategy_Buy and !Strategy_Buy[1] then 1
                    else if Strategy_Sell and !Strategy_Sell[1] then -1
                    else 0;
--------------------------------------------------------------------------------------------------------------------------------------------


ADX Add-On

Here is a little something extra I was working on and barbaros fixed up for me. It is an ADX line. It is set to 35 and can be adjusted to your discretion. Just copy and paste the code adding it to the bottom of your script:
Code:
# ADX Add On
# v1.0 - chuck    - initial integration
# v2.0 - barbaros - cleanup

input ADDON_ADX_show = yes;
input ADDON_ADX_dmilength = 10;
input ADDON_ADX_dmiaverageType = AverageType.WILDERS;

def ADDON_ADX_ADX = (DMI(ADDON_ADX_dmilength, ADDON_ADX_dmiaverageType).ADX) - 18;
def ADDON_ADX_signal = ADDON_ADX_ADX >= 1 and ADDON_ADX_ADX < ADDON_ADX_ADX[1] and ADDON_ADX_ADX[1] > ADDON_ADX_ADX[2];

AddVerticalLine (ADDON_ADX_show and ADDON_ADX_signal, "mADX", Color.WHITE);
Alert(ADDON_ADX_signal, "mADX", Alert.BAR, Sound.Ding);

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

Here is the latest beta version:

https://tos.mx/0aqdRea

Code:
# Balanced BB Breakout Indicator
# Free for use. Header credits must be included when any form of the code included in this package is used.
# User assumes all risk. Author not responsible for errors or use of tool.
# v1.2 - Assembled by Chuck Edwards
# v2.0 - Barbaros - cleanup
# v2.1 - Barbaros - added RSI IFT, NumberOfShares, BB crossing options
# v2.2 - Barbaros - fixed PnL issues and removed intraDay filter
# v2.3 - Barbaros - changed input and variable names, RSM is re-done
# v2.4 - Barbaros - removed PnL, added strategy signal arrows and alerts,
#                   added Fibonacci SuperTrend, added unified bar color selection
# v2.5 - Chuck    - added divergence and squeeze label, added squeeze alert
#        Barbaros - cleanup, changed divergance to text, show stoch labels all the time
#        Barbaros - added trend squeeze label for BB, added alerts for Stoch Scalper
#        Barbaros - added options to hide clouds and labels
#        Barbaros - changed trend and divergence colors and text to match
#        Barbaros - removed volume and keltner channel studies, unified squeeze
# v2.6 - Barbaros - optimizations, added hints and separated out BullBear options for combinations

declare lower;

input ShowMarketForecastLabel = yes;        #hint ShowMarketForecastLabel: Show the intermediate Market Forecast label
input ShowMACDBBLabel = yes;                #hint ShowMACDBBLabel: Show the MACDBB based Trend label
input ShowMACDBBCloud = no;                 #hint ShowMACDBBCloud: Show the MACDBB cloud shaded between BB
input ShowRSMCloud = no;                    #hint ShowRSMCloud: Show the vertical cloud based on RSM
input ShowHMALabel = yes;                   #hint ShowHMALabel: Show HUll Moving Average based Divergence label
input ShowSTOCHSCALPERSqueezeLabel = yes;   #hint ShowSTOCHSCALPERSqueezeLabel: Show Stochastic Scalper based squeeze label
input ShowSTOCHSCALPERSqueezeCloud = yes;   #hint ShowSTOCHSCALPERSqueezeCloud: Show Stochastic Scalper based squeeze cloud between BB
input ShowBullBearVerticalLines = yes;      #hint ShowBullBearVerticalLines: Show vertical lines for bullish or bearish direction

### Market Forecast

def pIntermediate = MarketForecast().Intermediate;

AddLabel(ShowMarketForecastLabel,
    "Market Forecast " +
    if pIntermediate >= 80 then "Bullish" else
    if pIntermediate <= 20 then "Bearish" else
    if pIntermediate > pIntermediate[1] then "Rising" else
    if pIntermediate < pIntermediate[1] then "Falling" else "Neutral",
    if pIntermediate >= 80 then Color.GREEN else
    if pIntermediate <= 20 then Color.RED else
    if pIntermediate > pIntermediate[1] then Color.LIGHT_GREEN else
    if pIntermediate < pIntermediate[1] then Color.LIGHT_RED else Color.GRAY
);

### MACDBB

input MACDBB_FastLength = 12;
input MACDBB_SlowLength = 26;
input MACDBB_BandLength = 15;
input MACDBB_NumDev = 1.0;

def MACDBB_Data = MACD(fastLength = MACDBB_FastLength, slowLength = MACDBB_SlowLength, MACDLength = 5);

plot MACDBB_Upper = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                             Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).UpperBand;
MACDBB_Upper.SetDefaultColor(Color.RED);
MACDBB_Upper.HideTitle();
MACDBB_Upper.HideBubble();

plot MACDBB_Lower = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                             Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).Lowerband;
MACDBB_Lower.SetDefaultColor(Color.GREEN);
MACDBB_Lower.HideTitle();
MACDBB_Lower.HideBubble();

plot MACDBB_Midline = reference BollingerBands(price = MACDBB_Data, length = MACDBB_BandLength,
                                               Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).MidLine;
MACDBB_Midline.SetDefaultColor(Color.LIGHT_RED);
MACDBB_Midline.SetStyle(Curve.FIRM);
MACDBB_MidLine.HideTitle();
MACDBB_MidLine.HideBubble();

plot MACDBB_Line = MACDBB_Data;
MACDBB_Line.AssignValueColor(
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line >= MACDBB_Upper then Color.GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line >= MACDBB_Upper then Color.DARK_GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line <= MACDBB_Lower then Color.RED else
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line <= MACDBB_Lower then Color.DARK_RED
    else Color.GRAY
);
MACDBB_Line.SetLineWeight(1);

plot MACDBB_Dots = MACDBB_Data;
MACDBB_Dots.AssignValueColor(
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.DARK_GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.RED
    else if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.DARK_RED
    else Color.GRAY
);
MACDBB_Dots.SetPaintingStrategy(PaintingStrategy.LINE_VS_POINTS);
MACDBB_Dots.SetLineWeight(1);
MACDBB_Dots.HideTitle();
MACDBB_Dots.HideBubble();

input MACDBB_CrossFromAboveAlert = {default "Zero", "Lower", "Middle", "Upper"};
input MACDBB_CrossFromBelowAlert = {default "Zero", "Lower", "Middle", "Upper"};

def MACDBB_CrossFromAboveVal = if MACDBB_CrossFromAboveAlert == MACDBB_CrossFromAboveAlert.Lower then MACDBB_Lower
                               else if MACDBB_CrossFromAboveAlert == MACDBB_CrossFromAboveAlert.Upper then MACDBB_Upper
                              else 0;
def MACDBB_CrossFromBelowVal = if MACDBB_CrossFromBelowAlert == MACDBB_CrossFromBelowAlert.Lower then MACDBB_Lower
                               else if MACDBB_CrossFromBelowAlert == MACDBB_CrossFromBelowAlert.Upper then MACDBB_Upper
                               else 0;

def MACDBB_Buy = MACDBB_Data > MACDBB_Upper;
def MACDBB_Sell = MACDBB_Data <= MACDBB_Lower;

AddLabel(ShowMACDBBLabel,
    "Trend " +
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then "Bullish"
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then "Bullish (decreasing)"
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then "Bearish"
    else if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then "Bearish (increasing)"
    else "Neutral",
    if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line > MACDBB_Upper then Color.DARK_GREEN
    else if MACDBB_Line < MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.RED
    else if MACDBB_Line > MACDBB_Line[1] and MACDBB_Line < MACDBB_Lower then Color.DARK_RED
    else Color.GRAY
);

AddCloud(if ShowMACDBBCloud then MACDBB_Upper else MACDBB_Lower, MACDBB_Lower, Color.LIGHT_RED);

### RSI/STOCASTIC/MACD CONFLUENCE COMBO

plot RSM_MACD_Diff = reference MACD("fast length" = 12, "slow length" = 26, "macd length" = 9).Diff;
RSM_MACD_Diff.SetDefaultColor(GetColor(5));
RSM_MACD_Diff.SetPaintingStrategy(PaintingStrategy.HISTOGRAM);
RSM_MACD_Diff.SetLineWeight(4);
RSM_MACD_Diff.DefineColor("Positive and Up", Color.GREEN);
RSM_MACD_Diff.DefineColor("Positive and Down", Color.DARK_GREEN);
RSM_MACD_Diff.DefineColor("Negative and Down", Color.RED);
RSM_MACD_Diff.DefineColor("Negative and Up", Color.DARK_RED);
RSM_MACD_Diff.AssignValueColor(
    if RSM_MACD_Diff >= 0 then
        if RSM_MACD_Diff > RSM_MACD_Diff[1] then RSM_MACD_Diff.Color("Positive and Up") else RSM_MACD_Diff.Color("Positive and Down")
    else
        if RSM_MACD_Diff < RSM_MACD_Diff[1] then RSM_MACD_Diff.Color("Negative and Down") else RSM_MACD_Diff.Color("Negative and Up")
);

plot RSM_MACD_ZeroLine = 0;
RSM_MACD_ZeroLine.SetDefaultColor(Color.RED);
RSM_MACD_ZeroLine.HideTitle();
RSM_MACD_ZeroLine.HideBubble();

def RSM_RSI = reference RSI(length = 7).RSI;

def RSM_Stoch_Val = 100 * (close - lowest(low, 14)) / (highest(high, 14) - lowest(low, 14));
def RSM_StochSlowK = SimpleMovingAvg(SimpleMovingAvg(RSM_Stoch_Val,3),3);

def RSM_rsiGreen = RSM_RSI >= 50;
def RSM_rsiRed = RSM_RSI < 50;
def RSM_stochGreen = RSM_StochSlowK >= 50;
def RSM_stochRed = RSM_StochSlowK < 50;
def RSM_macdGreen = RSM_MACD_Diff >= 0;
def RSM_macdRed = RSM_MACD_Diff < 0;
def RSM_Buy = RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen;
def RSM_Sell = RSM_rsiRed and RSM_stochRed and RSM_macdRed;

# Shade areas based on criteria; adjust as needed

AddCloud(
    if ShowRSMCloud and RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen then Double.POSITIVE_INFINITY else Double.NaN,
    if ShowRSMCloud and RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen then Double.NEGATIVE_INFINITY else Double.NaN, Color.LIGHT_GREEN
);
AddCloud(
    if ShowRSMCloud and RSM_rsiRed and RSM_stochRed and RSM_macdRed then Double.POSITIVE_INFINITY else Double.NaN,
    if ShowRSMCloud and RSM_rsiRed and RSM_stochRed and RSM_macdRed then Double.NEGATIVE_INFINITY else Double.NaN, Color.LIGHT_RED
);

### Divergance
input HMA_Length = 55;
input HMA_Lookback = 2;

def HMA = HullMovingAvg(price = HL2, length = HMA_Length);
def HMA_delta = HMA[1] - HMA[HMA_Lookback + 1];
def HMA_delta_per_bar = HMA_delta / HMA_Lookback;
def HMA_next_bar = HMA[1] + HMA_delta_per_bar;
def HMA_concavity = if HMA > HMA_next_bar then 1 else -1;
def HMA_MA_Max = if HMA[-1] < HMA and HMA > HMA[1] then HMA else Double.NaN;
def HMA_MA_Min = if HMA[-1] > HMA and HMA < HMA[1] then HMA else Double.NaN;
def HMA_divergence = HMA - HMA_next_bar;

AddLabel(ShowHMALabel,
        "Divergence " +
        if HMA_concavity < 0 then
            if HMA_divergence[1] > HMA_divergence then "Bearish (increasing)"
            else "Bearish"
        else
            if HMA_divergence[1] < HMA_divergence then "Bullish (decreasing)"
            else "Bullish",
        if HMA_concavity < 0 then
            if HMA_divergence[1] > HMA_divergence then Color.DARK_RED
            else Color.RED
        else
            if HMA_divergence[1] < HMA_divergence then Color.DARK_GREEN
            else Color.GREEN
);

### Stocastic Scalper

def STOCHSCALPER_oSS = (open[1] + close[1]) / 2;
def STOCHSCALPER_hSS = Max(high, close[1]);
def STOCHSCALPER_lSS = Min(low, close[1]);
def STOCHSCALPER_cSS = (STOCHSCALPER_oSS + STOCHSCALPER_hSS + STOCHSCALPER_lSS + close) / 4;

def STOCHSCALPER_mean = Average(STOCHSCALPER_cSS, 20);
def STOCHSCALPER_sd = StDev(STOCHSCALPER_cSS, 20);
def STOCHSCALPER_atr = Average(TrueRange(STOCHSCALPER_cSS, STOCHSCALPER_hSS, STOCHSCALPER_lSS), 20);
def STOCHSCALPER_squeeze = if (STOCHSCALPER_mean + (2 * STOCHSCALPER_sd)) < (STOCHSCALPER_mean + (1.5 * STOCHSCALPER_atr)) then yes else no;
def STOCHSCALPER_squeeze_signal = !STOCHSCALPER_squeeze[1] and STOCHSCALPER_squeeze;

AddCloud(if ShowSTOCHSCALPERSqueezeCloud and STOCHSCALPER_squeeze then MACDBB_Upper else Double.NaN,
         if ShowSTOCHSCALPERSqueezeCloud and STOCHSCALPER_squeeze then MACDBB_Lower else Double.NaN, Color.YELLOW);
AddLabel(ShowSTOCHSCALPERSqueezeLabel, "Scalper Squeeze", if STOCHSCALPER_squeeze then Color.WHITE else Color.GRAY);

### Balance of Power

input BOP_EMA_Length = 20;
input BOP_TEMA_Length = 20;

def BOP_THL = If(high != low, high - low, 0.01);
def BOP_BullOpen = (high - open) / BOP_THL;
def BOP_BearOpen = (open - low) / BOP_THL;
def BOP_BullClose = (close - low) / BOP_THL;
def BOP_BearClose = (high - close) / BOP_THL;
def BOP_BullOC = If(close > open, (close - open) / BOP_THL, 0);
def BOP_BearOC = If(open > close, (open - close) / BOP_THL, 0);
def BOP_BullReward = (BOP_BullOpen + BOP_BullClose + BOP_BullOC) / 1;
def BOP_BearReward = (BOP_BearOpen + BOP_BearClose + BOP_BearOC) / 1;

def BOP_BOP = BOP_BullReward - BOP_BearReward;
def BOP_SmoothBOP = ExpAverage(BOP_BOP, BOP_EMA_Length);
def BOP_xPrice = BOP_SmoothBOP;
def BOP_xEMA1 = ExpAverage(BOP_SmoothBOP, BOP_TEMA_Length);
def BOP_xEMA2 = ExpAverage(BOP_xEMA1, BOP_TEMA_Length);
def BOP_xEMA3 = ExpAverage(BOP_xEMA2, BOP_TEMA_Length);
def BOP_nRes = 3 * BOP_xEMA1 - 3 * BOP_xEMA2 + BOP_xEMA3;

def BOP_SmootherBOP = BOP_nRes;
def BOP_s1 = BOP_SmoothBOP;
def BOP_s2 = BOP_SmootherBOP;
def BOP_s3 = BOP_SmootherBOP[2];
def BOP_Direction = if BarNumber() == 1 then 0
                    else if BOP_s2 < BOP_s3 and BOP_s2[1] > BOP_s3[1] then -1
                    else if BOP_s2 > BOP_s3 and BOP_s2[1] < BOP_s3[1] then 1
                    else BOP_Direction[1];

### RSI IFT

def RSI_IFT_R = reference RSI(5, close) - 50;
def RSI_IFT_AvgRSI = MovingAverage(AverageType.Exponential,RSI_IFT_R,9);
def RSI_IFT_InverseRSI = (Power(Double.E, 2 * RSI_IFT_AvgRSI) - 1) / (Power(Double.E, 2 * RSI_IFT_AvgRSI) + 1);
def RSI_IFT_Direction = if BarNumber() == 0 then 0
                        else if (RSI_IFT_InverseRSI[1] > 0) and (RSI_IFT_InverseRSI < 0) then -1
                        else if (RSI_IFT_InverseRSI > 0) and (RSI_IFT_InverseRSI[1] < 0) then 1
                        else RSI_IFT_Direction[1];

### Fibonacci SuperTrend

input FST_Length = 11;
input FST_Retrace = 23.6;
input FST_UseHighLow = yes;

def FST_h = if FST_UseHighLow then high else close;
def FST_l = if FST_UseHighLow then low else close;
def FST_minL = Lowest(FST_l, FST_Length);
def FST_maxH = Highest(FST_h, FST_Length);

def FST_hh = if FST_h > FST_maxH[1] then FST_h else FST_hh[1];
def FST_ll = if FST_l < FST_minL[1] then FST_l else FST_ll[1];
def FST_trend = if FST_h > FST_maxH[1] then 1 else if FST_l < FST_minL[1] then -1 else FST_trend[1];
def FST_Direction = if BarNumber() == 0 then 0
                    else if FST_trend != 1 then -1
                    else if FST_trend == 1 then 1
                    else FST_Direction[1];

### Bar Color

input BarColor = { "None", default "RSM", "FibonacciSuperTrend" };    #hint BarColor: Paint bars with RSM or Fibonacci SuperTrend direction

AssignPriceColor(
    if BarColor == BarColor.FibonacciSuperTrend then
        if FST_trend == 1 then Color.GREEN else Color.RED
    else if BarColor == BarColor.RSM then
        if RSM_Buy then Color.GREEN
        else if RSM_Sell then Color.RED
        else Color.DARK_GRAY
    else Color.CURRENT
);

### Strategy

input BullBear_Include_BOP = no;        #hint BullBear_Include_BOP: Include Balance of Power in the vertical line strategy
input BullBear_Include_FST = yes;       #hint BullBear_Include_FST: Include Fibonacci SuperTrend in the vertical line strategy
input BullBear_Include_RSI_IFT = yes;   #hint BullBear_Include_RSI_IFT: Include RSI IFT in the vertical line strategy

def BullBear_Buy = (!BullBear_Include_BOP or BOP_Direction == 1) and
                   (!BullBear_Include_FST or FST_Direction == 1) and
                   (!BullBear_Include_RSI_IFT or RSI_IFT_Direction == 1);
def BullBear_Sell = (!BullBear_Include_BOP or BOP_Direction == -1) and
                    (!BullBear_Include_FST or FST_Direction == -1) and
                    (!BullBear_Include_RSI_IFT or RSI_IFT_Direction == -1);

AddVerticalLine(ShowBullBearVerticalLines and BullBear_Buy and !BullBear_Buy[1],
                AsDollars(close),
                Color.GREEN, Curve.SHORT_DASH);
AddVerticalLine(ShowBullBearVerticalLines and BullBear_Sell and !BullBear_Sell[1],
                AsDollars(close),
                Color.RED, Curve.SHORT_DASH);

def Strategy_Buy = BullBear_Buy and MACDBB_Buy and RSM_Buy;
def Strategy_Sell = BullBear_Sell and MACDBB_Sell and RSM_Sell;
def Strategy_BuySignal = Strategy_Buy and !Strategy_Buy[1];
def Strategy_SellSignal = Strategy_Sell and !Strategy_Sell[1];

plot BuyArrow = if Strategy_BuySignal then 0 else Double.NaN;
BuyArrow.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
BuyArrow.SetDefaultColor(Color.WHITE);
BuyArrow.HideTitle();
BuyArrow.HideBubble();

plot SellArrow = if Strategy_SellSignal then 0 else Double.NaN;
SellArrow.SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);
SellArrow.SetDefaultColor(Color.WHITE);
SellArrow.HideTitle();
SellArrow.HideBubble();

### Alerts

Alert(Strategy_BuySignal, "Long Entry", Alert.BAR, Sound.DING);
Alert(Strategy_SellSignal, "Short Entry", Alert.BAR, Sound.DING);
Alert(MACDBB_Line crosses above MACDBB_CrossFromAboveVal, "MACDBB Crossed Up", Alert.BAR, Sound.DING);
Alert(MACDBB_Line crosses below MACDBB_CrossFromBelowVal, "MACDBB Crossed Down", Alert.BAR, Sound.DING);
Alert(STOCHSCALPER_squeeze_signal, "Scalper Squeeze", Alert.BAR, Sound.DING);




Many thanks to all those who are contributing to this project. Again, any new versions will be posted here to cut down on any confusion.

Disclaimer:


This indicator may or may not be suitable for you, it should not be used on its own. Instead, chartists should use it in conjunction with other analysis techniques. Constructive criticism welcomed in order to improve. Please report any bugs so we can continue to improve it.
@Chuck @barbaros thanks guys for all your hard work. May I suggest, as a convention, in the future, each version with a date that is updated so we know which one is the latest.
 
This morning I watched the fw_dpo_mobo on my charts, mostly 15 min timeframe. What did I miss that makes it superior to the MACD_BB? From what I saw, the MACD_BB kept me from taking false fw_dpo_mobo signals. The latter was printing signal arrows while the MACD_BB dots were grayed out and signaling no trade. When the fw_dpo_mobo did give accurate signals, sometimes they came at the same time as the MACD_BB. Sometimes the MACD_BB was a candle or two earlier.

Not trying to be critical, @swazz. Just wondering what did I miss that is so appealing about the fw_dpo_mobo?
I am looking for some help with mobo scan setups can you point me in the right direction I have a couple but they are alerting to late and 90% of the run is already over. Thanks in advance

I am using MOBO_breakout_full, FW_Mobo_Basic breakout arrow, does not have earnings anytime in 10 days.
 
What is the complete code at the end of the first line of your scanner " bull bear Include rsiift" =no ?
Thanks
Is this a Scan
Also I created a watchlist based on this with added squeeze. Can @barbaros @cos251 @Trader Raider @Chuck you have a look and refine.

Code:
#################################################################
############          SCAN Variables                    #########
#################################################################


# MACD_BB

input MACDBB_BandLength = 10;
input MACDBB_FastLength = 12;
input MACDBB_SlowLength = 26;
input MACDBB_Length = 5;
input MACDBB_NumDev = 1.0;


input showBreakoutSignals = no;

def MACDBB_Data = MACD(fastLength = MACDBB_FastLength, slowLength = MACDBB_SlowLength, MACDLength = MACDBB_length);


plot MACDBB_Upper = reference BollingerBands(price = MACDBB_data, length = MACDBB_BandLength, Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).UpperBand;

plot MACDBB_Lower = reference BollingerBands(price = MACDBB_data, length = MACDBB_BandLength,Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).Lowerband;

plot MACDBB_Midline = reference BollingerBands(price = MACDBB_data, length = MACDBB_BandLength,
                                               Num_Dev_Dn = -MACDBB_NumDev, Num_Dev_Up = MACDBB_NumDev).MidLine;
MACDBB_Midline.SetDefaultColor(Color.Gray);
MACDBB_Midline.SetStyle(Curve.FIRM);
MACDBB_MidLine.HideTitle();
MACDBB_MidLine.HideBubble();

plot MACDBB_Line = MACDBB_Data;

MACDBB_Line.SetLineWeight(1);

plot MACDBB_Dots = MACDBB_Data;



# Keltner Channels

input klength = 10;
input factormid = 1.5;
input factorhigh = 1.0;
input factorlow = 2.0;
input averageType = AverageType.EXPONENTIAL;
input trueRangeAverageType = AverageType.EXPONENTIAL;

def shifthigh = factorhigh * MovingAverage(trueRangeAverageType, TrueRange(high, close, low), klength);
def shiftMid = factormid * MovingAverage(trueRangeAverageType, TrueRange(high, close, low), klength);
def shiftlow = factorlow * MovingAverage(trueRangeAverageType, TrueRange(high, close, low), klength);

def average = MovingAverage(averageType, close, klength);

def Upper_Band = average + shiftmid;
def Lower_Band = average - shiftmid;


# Bollinger Bands

input BBLength2 = 10;
input Num_Dev_Dn = -2.4;
input Num_Dev_up = 2.4;
input bb_averageType = AverageType.SIMPLE;

def sDev = StDev(data = close, length = BBLength2);
def MidLine = MovingAverage(bb_averageType, data = close, length = BBLength2);
def LowerBandbb = MidLine + Num_Dev_Dn * sDev;
def UpperBandbb = MidLine + Num_Dev_up * sDev;


def UpperBandKCLow = average + shiftlow;
def LowerBandKCLow = average - shiftlow;

def UpperBandKCMid = average + shiftMid;
def LowerBandKCMid = average - shiftMid;

def UpperBandKCHigh = average + shifthigh;
def LowerBandKCHigh = average - shifthigh;

def K = (Highest(high, klength) + Lowest(low,klength)) /
2 + ExpAverage(close, klength);
def momo = Inertia(close - K / 2, klength);

def pos         = momo >= 0;
def neg         = momo < 0;
def up         = momo >= momo[1];
def dn         = momo < momo[1];


def presqueeze      = LowerBandBB > LowerBandKCLow and UpperBandBB < UpperBandKCLow;
def presqueezein    = LowerBandBB > LowerBandKCLow and UpperBandBB < UpperBandKCLow and lowerBandBB > lowerBandBB[1];
def presqueezeout   = LowerBandBB > LowerBandKCLow and UpperBandBB < UpperBandKCLow and lowerbandbb < lowerbandbb[1];


def originalSqueezein   = LowerBandBB > LowerBandKCMid and UpperBandBB < UpperBandKCMid and lowerbandBB > lowerbandbb[1];
def originalSqueezeout  = LowerBandBB > LowerBandKCMid and UpperBandBB < UpperBandKCMid and lowerbandbb < lowerbandbb[1];


def ExtrSqueeze   = LowerBandBB > LowerBandKCHigh and UpperBandBB < UpperBandKCHigh;







def Squeeze = if Extrsqueeze then 0 else if originalsqueezein then 0 else if originalsqueezeout then 0  else 3 ;



# RSI/STOCASTIC/MACD CONFLUENCE COMBO


input fastLength = 12;
input slowLength = 26;
input MACDLength = 9;
input averageTypeMACD = AverageType.WEIGHTED;
def Value = MovingAverage(averageTypeMACD, close, fastLength) - MovingAverage(averageTypeMACD, close, slowLength);
def Avg = MovingAverage(averageTypeMACD, Value, MACDLength);
plot RSM_MACD_Diff = Value - Avg;



#####

input lengthRSI = 7;
input averageTypeRSI = AverageType.EXPONENTIAL;

def NetChgAvg = MovingAverage(averageTypeRSI, close - close[1], lengthRSI);
def TotChgAvg = MovingAverage(averageTypeRSI, AbsValue(close - close[1]), lengthRSI);
def ChgRatio = if TotChgAvg != 0 then NetChgAvg / TotChgAvg else 0;
def RSM_RSI = 50 * (ChgRatio + 1);

#####


def RSM_Stoch_Val = 100 * (close - lowest(low, 14)) / (highest(high, 14) - lowest(low, 14));
def RSM_StochSlowK = SimpleMovingAvg(SimpleMovingAvg(RSM_Stoch_Val,3),3);




def RSM_rsiGreen = RSM_RSI >= 50;
def RSM_rsiRed = RSM_RSI < 50;
def RSM_stochGreen = RSM_StochSlowK >= 50;
def RSM_stochRed = RSM_StochSlowK < 50;
def RSM_macdGreen = RSM_MACD_Diff >= 0;
def RSM_macdRed = RSM_MACD_Diff < 0;
def RSM_Buy = RSM_rsiGreen and RSM_stochGreen and RSM_macdGreen;
def RSM_Sell = RSM_rsiRed and RSM_stochRed and RSM_macdRed;


input price= close;

def avgexpo = MovingAverage(averageType, price, klength);
def RSM_EMAGreen = close > avgexpo;
def RSM_EMARed = close < avgexpo;


# Shade areas based on criteria; adjust as needed


###################################################


# If you want to scan for stocks that are not in either trend you can add two filters and scan for false for both conditions

# The UpTrend and DownTrend plots can be used to scan for stocks that are currently in that trend

def UPP = MACDbb_Line >0 and MACDbb_Line > MACDbb_Line[1] and MACDbb_Line >macdbb_upper and RSM_Buy and squeeze ==3 ;
def DOWN =  MACDbb_Line <0 and MACDbb_Line < MACDbb_Line[1] and MACDbb_Line < macdbb_lower and RSM_Sell and squeeze ==3;;
def UpTrend = MACDbb_Line > MACDbb_Line[1] and MACDbb_Line > macdbb_upper and macdbb_line < 0 and RSM_Buy and squeeze ==3;
def DownTrend = MACDbb_Line < MACDbb_Line[1] and MACDbb_Line < macdbb_lower  and macdbb_line > 0 and RSM_Sell and squeeze ==3;;


# The UpTrendJustStarted and DownTrendJustStarted plots can be used to find stocks that have just started
# a trend in either direction

def UpTrendJustStarted =  MACDbb_Line crosses above macdbb_upper and RSM_Buy and squeeze ==3;
def DownTrendJustStarted =  MACDbb_line crosses below macdbb_lower and RSM_Sell and squeeze ==3;;

def Downtrendended = MACDbb_Line > MACDbb_Line[1] and macdbb_line <macdbb_upper and RSM_Buy and squeeze ==3;;
def Uptrendended = MACDbb_Line < MACDbb_Line[1]  and macdbb_line > macdbb_lower and RSM_Sell and squeeze ==3;



###################################################

def GetTrend = if  UptrendJustStarted then 8 else if Uptrend then 9 else if UPP then 3  else if DownTrendJustStarted then -8 else if DownTrend then -9 else if DOWN then -3 else if Downtrendended then 7 else if Uptrendended then -7  else 0;
###################################################



def count = if macdbb_line>= macdbb_upper then if macdbb_dots >macdbb_dots[1] then count[1]+1 else 0 else if macdbb_line<= macdbb_lower then if macdbb_dots <macdbb_dots[1] then count[1]+1 else 0 else 0;

def barnumber = if count == 0 then barNumber[1]+1 else 0;


def macdsar = macdbb_dots - macdbb_dots[1];


###################################################
def MBullish =  gettrend == 3 and squeeze ==3;
def MBearish =  gettrend == -3  and squeeze ==3;

def BBullish =  gettrend == 8 and squeeze ==3;
def BBearish =  gettrend == -8  and squeeze ==3;

def SBullish = gettrend == 9  and squeeze ==3;
def SBearish =  gettrend == -9 and squeeze ==3;

def ABullish = gettrend == 7 and squeeze ==3;
def ABearish =  gettrend == -7 and squeeze ==3;

assignbackgroundcolor( if MBullish then color.lime else if MBearish then color.magenta else if  BBullish then color.dark_green else if BBearish then color.dark_red else if SBullish then color.green else if SBearish then color.red else if Abullish then color.cyan else if Abearish then color.yellow else color.white);
addlabel(yes, if MBullish then "0UP" + count else if MBearish then "Fdown" + count   else  if  BBullish then "ABull" + count else if BBearish then "GBear" + count else if SBullish then "BBull" + count else if SBearish then "HBear" + count   else if Abullish then "Dbull" else if Abearish then "Jbear" else  "ynos", color.black);
Is this a Scan or A study, could you post some screenshots I am a noob and need a little hand holding to get started lols.
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?
As of late I have unchecked that box to see if I've seen a difference and I haven't noticed any. I'm ok with it guess we can see what the group says.
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?
Would be nice to free up some of that code. Does seem a little complex on the scan and watchlist side of things.
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?
Since BOP throws out a lot pf bad signals on a 5 min chart, it would be Ok to remove it.
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?
Personally am okay with removing it as I do not have much RAM or processing power on my old laptop, especially with it linked to an external monitor. :ROFLMAO: But I do agree that it does seem to show too many signals on shorter time frames. Not sure about medium and longer time frames though as those who swing trade may find it useful.
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?
am all for focus on the primary message, I unclicked the BB band so it's cleaner. Thanks for all the hard work!
 
Guys, I would like to remove BOP from the B4 indicator. I don't use it and it seems to make the script more complex to run for ToS scans and watchlist column. Can we have a quick vote to either to remove and keep?

@barbaros, you've made good decisions with this indicator so I trust whatever you decide. Personally, I don't use BOP on lower timeframes. If you remove it, and anyone is disappointed about that, they can add it as an additional indicator. There's one that comes standard with TOS and I think there's one with a few adaptations on this site too.
 
ironically I took your v2.6 and added more logic for BOP including bar color. currently using 30 length on on the 5kt for MNQ. Great work on this indicator! I'm using it for a 2nd, 3rd, and 4th confirmations.. :)
 
Hi all.

I recently have been playing around with the indicator. It looks awesome and it's pretty accurate on the Daily TF (Swing trader in here). Just wanted to pop in here and say a massive thank you for all the hard work and dedication to this indicator. I will be putting more time into it so later I'll provide my feedback after trading live.

Once again, Thank you coders !!!
 
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Frequently Asked Questions

What is useThinkScript?

useThinkScript is the #1 community of stock market investors using indicators and other tools to power their trading strategies. Traders of all skill levels use our forums to learn about scripting and indicators, help each other, and discover new ways to gain an edge in the markets.

How do I get started?

We get it. Our forum can be intimidating, if not overwhelming. With thousands of topics, tens of thousands of posts, our community has created an incredibly deep knowledge base for stock traders. No one can ever exhaust every resource provided on our site.

If you are new, or just looking for guidance, here are some helpful links to get you started.

What are the benefits of VIP Membership?
VIP members get exclusive access to these proven and tested premium indicators: Buy the Dip, Advanced Market Moves 2.0, Take Profit, and Volatility Trading Range. In addition, VIP members get access to over 50 VIP-only custom indicators, add-ons, and strategies, private VIP-only forums, private Discord channel to discuss trades and strategies in real-time, customer support, trade alerts, and much more. Learn all about VIP membership here.
How can I access the premium indicators?
To access the premium indicators, which are plug and play ready, sign up for VIP membership here.
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