๐ŸงฎCode: ABDSM


*Used in combination with the Koalafied Initial Balance Levels and Extensions indicator.

Our one-stop solution for all your divergence needs offers a comprehensive range of features, including a unified metric to measure the intensity of divergence across multiple indicators. An easy-to-interpret labelling system that displays the overall divergence strength alongside the number of diverging indicators. Hovering over the label gives a detailed breakdown of each indicator and its divergence strength. The tool also offers completely customizable options, allowing you to adjust pivot lengths, divergence types and weights for every component of the divergence strength calculation. This enables you to optimize the output for any chart with ease. And don't worry; the default settings will suffice if you're not interested in the technical details.



// ยฉ AlphaBlock Network
//@version=5

indicator("AlphaBlock Divergence Strength Master","AB DSM",overlay=true,max_lines_count=500,max_labels_count=500,max_bars_back=500)

import reees/TA/11 as t
import reees/Algebra/3 as alg

//----------------------------------------- 
// inputs
//-----------------------------------------

var bullSwitch = input.bool(true, "Bullish", inline="dswitch", group="Divergence Params")
var bearSwitch = input.bool(true, "Bearish", inline="dswitch", group="Divergence Params")
var showHidden = input.bool(true, "Hidden", inline="dswitch", group="Divergence Params")
var noBroken = input.bool(true,"Exclude if broken trendline",group="Divergence Params",tooltip="If set, divergence is not considered valid if an intermediate pivot high/low breaks the divergence trendline (on a linear scale). If using a logarithmic scale, you may want to turn this switch off as some trendlines that are broken on a linear scale may not be broken on a log scale. Only relevant if Lookback Pivots > 1.")
var ppLength = input.int(4,"Previous pivot bars before/after",minval=1,group="Divergence Params",tooltip="Min # bars before and after a previous pivot high/low to consider it valid for divergence check")
var cpLengthBefore = input.int(4,"Next (divergent) pivot bars before",minval=1,group="Divergence Params",tooltip="Min # leading bars before the next (divergent) pivot high/low to consider it valid for divergence check")
var cpLengthAfter = input.int(2,"Next (divergent) pivot bars after",minval=1,group="Divergence Params",tooltip="# trailing bars after the next (divergent) pivot high/low to consider it valid for divergence check. Decreasing this value may detect divergence sooner, but with less confidence.")
var lbBars = input.int(50,"Lookback bars",minval=1,maxval=100,group="Divergence Params",inline="lb")
var lbPivs = input.int(2,"Lookback pivots",minval=1,group="Divergence Params",inline="lb",tooltip="# of bars or # of pivot highs/lows to look back across, whichever comes first")
var w_reg = input.float(1.0,"Regular divergence weight",step=.1,minval=0.0,group="Divergence Params",inline="degreg")
var w_hid = input.float(1.0,"Hidden divergence weight",step=.1,minval=0.0,group="Divergence Params",inline="degreg",tooltip="Value/weight of regular divergence versus hidden divergence (applies to all indicators)")
var w_p = input.float(0.5,"ฮ” price weight",step=.1,minval=0.0,group="Divergence Params",inline="degprice")
var w_i = input.float(1.5,"ฮ” indicator weight",step=.1,minval=0.0,group="Divergence Params",inline="degprice",tooltip="Value/weight of change in price versus change in indicator value (applies to all indicators)")
bullPsource = input.source(low,"Bullish divergence price source",group="Divergence Params",tooltip="Used for indicators only when appropriate. If the selected source is not technically feasible or otherwise offends the spirit of an indicator, the indicator's natural source will be used instead.")
bearPsource = input.source(high,"Bearish divergence price source",group="Divergence Params",tooltip="Used for indicators only when appropriate. If the selected source is not technically feasible or otherwise offends the spirit of an indicator, the indicator's natural source will be used instead.")
//
var iRsi = input.bool(true,"RSI", group="Indicator", inline="ind_rsi")
var w_rsi = input.float(1.1,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_rsi")
var e_rsi = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_rsi",tooltip="Relative Strength Index (RSI)\n\nWeight: Weight of RSI divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which RSI divergence is considered extreme.")
var iObv = input.bool(true,"OBV", group="Indicator", inline="ind_obv")
var w_obv = input.float(0.8,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_obv")
var e_obv = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_obv",tooltip="On Balance Volume (OBV)\n\nWeight: Weight of OBV divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which OBV divergence is considered extreme.")
var iMacd = input.bool(true,"MACD", group="Indicator", inline="ind_macd")
var w_macd = input.float(.9,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_macd")
var e_macd = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_macd",tooltip="Moving Average Convergence/Divergence (MACD)\n\nWeight: Weight of MACD divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which MACD divergence is considered extreme.")
var iStoch = input.bool(true,"STOCH", group="Indicator", inline="ind_stoch")
var w_stoch = input.float(0.9,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_stoch")
var e_stoch = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_stoch",tooltip="Stochastic (STOCH)\n\nWeight: Weight of STOCH divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which STOCH divergence is considered extreme.")
var iCci = input.bool(true,"CCI", group="Indicator", inline="ind_cci")
var w_cci = input.float(1.0,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_cci")
var e_cci = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_cci",tooltip="Commodity Channel Index (CCI)\n\nWeight: Weight of CCI divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which CCI divergence is considered extreme.")
var iMfi = input.bool(true,"MFI", group="Indicator", inline="ind_mfi")
var w_mfi = input.float(1.0,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_mfi")
var e_mfi = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_mfi",tooltip="Money Flow Index (MFI)\n\nWeight: Weight of MFI divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which MFI divergence is considered extreme.")
var iAo = input.bool(true,"AO", group="Indicator", inline="ind_ao")
var w_ao = input.float(1.0,"Weight",step=.1,minval=0.0,group="Indicator",inline="ind_ao")
var e_ao = input.float(1.0,"Extreme value",step=.1,minval=0.0,group="Indicator",inline="ind_ao",tooltip="Awesome Oscillator (AO)\n\nWeight: Weight of AO divergence in total divergence strength calculation.\n\nExtreme divergence value: value above which AO divergence is considered extreme.")
//
var a_on = input.bool(true, "Alert", inline="alert", group="Alerts")
var a_above = input.float(5.0, "for values above", step=.1, inline="alert", group="Alerts")
//
var noLine = input.bool(true,"Show lines",group="Display Settings")==false
var noLab = input.bool(true,"Show labels",group="Display Settings")==false
var extrDiv = input.float(5.0,"Show largest labels for values above: ",minval=0.0,group="Display Settings",tooltip="Total divergence strength greater than this value will show the largest label (extreme divergence). A good rule of thumb is to keep this value slightly less than the number of selected indicators.")
var noLabB = input.float(0.5,"Don't show labels for values below: ",minval=0.0,group="Display Settings",tooltip="Total divergence strength less than this value will not show any label.")
var lTransp = input.int(80,"Line transparency",minval=0,maxval=100)

//-----------------------------------------
// functions
//-----------------------------------------

strengthMap(d,e) =>
    if d >= e
        5
    else if d > e*.8
        4
    else if d > e*.6
        3
    else if d > e*.4
        2
    else if d > e*.2
        1
    else
        0
    
strengthMapI(d,i="") =>
    e = if i=="RSI"
        e_rsi
    else if i=="OBV"
        e_obv
    else if i=="MACD"
        e_macd
    else if i=="STOCH"
        e_stoch
    else if i=="CCI"
        e_cci
    else if i=="MFI"
        e_mfi
    else if i=="AO"
        e_ao
    else
        0
    strengthMap(d,e)

strengthDesc(d,i="") =>
    s = i!= "" ? strengthMapI(d,i) : strengthMap(d,extrDiv)
    if s == 5
        "Extreme"
    else if s == 4
        "Very strong"
    else if s == 3
        "Strong"
    else if s == 2
        "Moderate"
    else if s == 1
        "Weak"
    else
        "Very weak"

drawLine(x1,y1,x2,y2,dt,h) =>
    c = dt==true?color.new(color.red,lTransp):color.new(color.green,lTransp)
    if noLine==false and (h==false or showHidden==true)
        line.new(x1,y1,x2,y2,color=c,width=1,style=h==true?line.style_dashed:line.style_solid)

drawLabel(bear,c,d,l) =>
    if c > 0 and d >= noLabB and noLab==false
        labX = bar_index-cpLengthAfter
        labY = bear == true ? bearPsource[cpLengthAfter] : bullPsource[cpLengthAfter]
        s = strengthMap(d,extrDiv)
        dtxt = strengthDesc(d) + " divergence (" + str.tostring(math.round(d,3)) + ")\n"
        ttxt = dtxt + " Indicator breakdown (" + str.tostring(c) + "):\n" + l
        txt = if s < 3
            ""
        else
            str.tostring(math.round(d,2)) + " (" + str.tostring(c) + ")"
        transp = s < 4 ? 50 : 10
        size = if s == 5 
            size.normal
        else if s == 4
            size.small
        else
            size.tiny
        clr = bear == true ? color.new(color.red,transp) : color.new(color.green,transp)
        style = bear == true ? label.style_label_down : label.style_label_up
        label.new(labX,labY,text=txt,tooltip=ttxt,textalign=text.align_center,style=style,size=size,color=clr,textcolor=color.white)

detail(t,d) =>
    "   " + t +":  " + strengthDesc(d,t) + " (" + str.tostring(math.round(d,3)) + ")\n"

//-----------------------------------------
// test for divergence
//-----------------------------------------

// RSI
bearRsi = false
bullRsi = false
bearRsiDeg = 0.0
bullRsiDeg = 0.0
if iRsi==true
    if bearSwitch==true
        i_bear = ta.rsi(bearPsource, 14)
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_rsi
        if f==true
            bearRsi := t==1 or showHidden==true ? true : false
            bearRsiDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        i_bull = ta.rsi(bullPsource, 14)
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_rsi
        if f==true
            bullRsi := t==1 or showHidden==true ? true : false
            bullRsiDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)
// OBV
bearObv = false
bullObv = false
bearObvDeg = 0.0
bullObvDeg = 0.0
if iObv==true
    if bearSwitch==true
        i_bear = ta.obv
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_obv
        if f==true
            bearObv := t==1 or showHidden==true ? true : false
            bearObvDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        i_bull = ta.obv
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_obv
        if f==true
            bullObv := t==1 or showHidden==true ? true : false
            bullObvDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)
// MACD
bearMacd = false
bullMacd = false
bearMacdDeg = 0.0
bullMacdDeg = 0.0
if iMacd==true
    if bearSwitch==true
        [_,_,i_bear] = ta.macd(bearPsource,12,26,9)
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_macd
        if f==true
            bearMacd := t==1 or showHidden==true ? true : false
            bearMacdDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        [_,_,i_bull] = ta.macd(bullPsource,12,26,9)
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_macd
        if f==true
            bullMacd := t==1 or showHidden==true ? true : false
            bullMacdDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)
// STOCH
bearStoch = false
bullStoch = false
bearStochDeg = 0.0
bullStochDeg = 0.0
if iStoch==true
    if bearSwitch==true
        i_bear = ta.stoch(close, high, low, 14)
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_stoch
        if f==true
            bearStoch := t==1 or showHidden==true ? true : false
            bearStochDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        i_bull = ta.stoch(close, high, low, 14)
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_stoch
        if f==true
            bullStoch := t==1 or showHidden==true ? true : false
            bullStochDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)
// CCI
bearCci = false
bullCci = false
bearCciDeg = 0.0
bullCciDeg = 0.0
if iCci==true
    if bearSwitch==true
        i_bear = ta.cci(bearPsource,20)
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_cci
        if f==true
            bearCci := t==1 or showHidden==true ? true : false
            bearCciDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        i_bull = ta.cci(bullPsource,20)
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_cci
        if f==true
            bullCci := t==1 or showHidden==true ? true : false
            bullCciDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)
// MFI
bearMfi = false
bullMfi = false
bearMfiDeg = 0.0
bullMfiDeg = 0.0
if iMfi==true
    if bearSwitch==true
        i_bear = ta.mfi(bearPsource,14)
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_mfi
        if f==true
            bearMfi := t==1 or showHidden==true ? true : false
            bearMfiDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        i_bull = ta.mfi(bullPsource,14)
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_mfi
        if f==true
            bullMfi := t==1 or showHidden==true ? true : false
            bullMfiDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)
// AO
bearAo = false
bullAo = false
bearAoDeg = 0.0
bullAoDeg = 0.0
if iAo==true
    if bearSwitch==true
        i_bear = ta.sma(hl2,5) - ta.sma(hl2,34)
        [f,d,t,x1,y1,x2,y2] = t.div_bear(bearPsource,i_bear,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_ao
        if f==true
            bearAo := t==1 or showHidden==true ? true : false
            bearAoDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,true,t==2)
    if bullSwitch==true
        i_bull = ta.sma(hl2,5) - ta.sma(hl2,34)
        [f,d,t,x1,y1,x2,y2] = t.div_bull(bullPsource,i_bull,cpLengthAfter,cpLengthBefore,ppLength,lbBars,lbPivs,noBroken,w_p,w_i,w_hid,w_reg)
        d := d*w_ao
        if f==true
            bullAo := t==1 or showHidden==true ? true : false
            bullAoDeg := t==1 or showHidden==true ? d : 0.0
            drawLine(x1,y1,x2,y2,false,t==2)

// Calculate degree of divergence and add labels.
bearCount = 0           // total number of divergent indicators
bearTotalDeg = 0.0      // total degree of divergence across all indicators
bearIndList = ""        // list of indicators for tooltip display
bullCount = 0
bullTotalDeg = 0.0
bullIndList = ""

// RSI
if bearRsi==true
    bearIndList := bearIndList + detail("RSI",bearRsiDeg)
    bearCount+=1
    bearTotalDeg += bearRsiDeg
if bullRsi==true
    bullIndList := bullIndList + detail("RSI",bullRsiDeg)
    bullCount+=1
    bullTotalDeg += bullRsiDeg
// OBV
if bearObv==true
    bearIndList := bearIndList + detail("OBV",bearObvDeg)
    bearCount+=1
    bearTotalDeg += bearObvDeg
if bullObv==true
    bullIndList := bullIndList + detail("OBV",bullObvDeg)
    bullCount+=1
    bullTotalDeg += bullObvDeg
// MACD
if bearMacd==true
    bearIndList := bearIndList + detail("MACD",bearMacdDeg)
    bearCount+=1
    bearTotalDeg += bearMacdDeg
if bullMacd==true
    bullIndList := bullIndList + detail("MACD",bullMacdDeg)
    bullCount+=1
    bullTotalDeg += bullMacdDeg
// STOCH
if bearStoch==true
    bearIndList := bearIndList + detail("STOCH",bearStochDeg)
    bearCount+=1
    bearTotalDeg += bearStochDeg
if bullStoch==true
    bullIndList := bullIndList + detail("STOCH",bullStochDeg)
    bullCount+=1
    bullTotalDeg += bullStochDeg
// CCI
if bearCci==true
    bearIndList := bearIndList + detail("CCI",bearCciDeg)
    bearCount+=1
    bearTotalDeg += bearCciDeg
if bullCci==true
    bullIndList := bullIndList + detail("CCI",bullCciDeg)
    bullCount+=1
    bullTotalDeg += bullCciDeg
// MFI
if bearMfi==true
    bearIndList := bearIndList + detail("MFI",bearMfiDeg)
    bearCount+=1
    bearTotalDeg += bearMfiDeg
if bullMfi==true
    bullIndList := bullIndList + detail("MFI",bullMfiDeg)
    bullCount+=1
    bullTotalDeg += bullMfiDeg
// AO
if bearAo==true
    bearIndList := bearIndList + detail("AO",bearAoDeg)
    bearCount+=1
    bearTotalDeg += bearAoDeg
if bullAo==true
    bullIndList := bullIndList + detail("AO",bullAoDeg)
    bullCount+=1
    bullTotalDeg += bullAoDeg

// Draw label(s)
drawLabel(true,bearCount,bearTotalDeg,bearIndList)
drawLabel(false,bullCount,bullTotalDeg,bullIndList)
// Alerts
if a_on and (bullTotalDeg > a_above or bearTotalDeg > a_above)
    alert("Divergence strength of " +str.tostring(math.max(bullTotalDeg,bearTotalDeg),"#.##") + " has formed.")

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