Divergences for many indicators pinescript

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  • 09/22/2024 at 9:25 AM #237916
    colin2510
    // This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/
    // © LuxAlgo
    //@version=5
    indicator(“Order Blocks & Breaker Blocks [LuxAlgo]”, overlay = true
      , max_lines_count  = 500
      , max_labels_count = 500
      , max_boxes_count  = 500)
    //——————————————————————————
    //Settings
    //—————————————————————————–{
    length   = input.int(10, ‘Swing Lookback’     , minval = 3)
    showBull = input.int(3, ‘Show Last Bullish OB’, minval = 0)
    showBear = input.int(3, ‘Show Last Bearish OB’, minval = 0)
    useBody  = input(false, ‘Use Candle Body’)
    //Style
    bullCss      = input(color.new(#2157f3, 80), ‘Bullish OB’   , inline = ‘bullcss’, group = ‘Style’)
    bullBreakCss = input(color.new(#ff1100, 80), ‘Bullish Break’, inline = ‘bullcss’, group = ‘Style’)
    bearCss      = input(color.new(#ff5d00, 80), ‘Bearish OB’   , inline = ‘bearcss’, group = ‘Style’)
    bearBreakCss = input(color.new(#0cb51a, 80), ‘Bearish Break’, inline = ‘bearcss’, group = ‘Style’)
    showLabels = input(false, ‘Show Historical Polarity Changes’)
    //—————————————————————————–}
    //UDT’s
    //—————————————————————————–{
    type ob
        float top = na
        float btm = na
        int   loc = bar_index
        bool  breaker = false
        int   break_loc = na
    type swing
        float y = na
        int   x = na
        bool  crossed = false
    //—————————————————————————–}
    //Functions
    //—————————————————————————–{
    swings(len)=>
        var os = 0
        var swing top = swing.new(na, na)
        var swing btm = swing.new(na, na)
        upper = ta.highest(len)
        lower = ta.lowest(len)
        os:=high[len]>upper?0
          : low[len] < lower ? 1 : os
        if os == 0 and os[1] != 0
            top := swing.new(high[length], bar_index[length])
        if os == 1 and os[1] != 1
            btm := swing.new(low[length], bar_index[length])
        [top, btm]
    method notransp(color css) => color.rgb(color.r(css), color.g(css), color.b(css))
    method display(ob id, css, break_css)=>
        if id.breaker
            box.new(id.loc, id.top, id.break_loc, id.btm, css.notransp()
              , bgcolor = css
              , xloc = xloc.bar_time)
            box.new(id.break_loc, id.top, time+1, id.btm, na
              , bgcolor = break_css
              , extend = extend.right
              , xloc = xloc.bar_time)
            line.new(id.loc, id.top, id.break_loc, id.top, xloc.bar_time, color = css.notransp())
            line.new(id.loc, id.btm, id.break_loc, id.btm, xloc.bar_time, color = css.notransp())
            line.new(id.break_loc, id.top, time+1, id.top, xloc.bar_time, extend.right, break_css.notransp(), line.style_dashed)
            line.new(id.break_loc, id.btm, time+1, id.btm, xloc.bar_time, extend.right, break_css.notransp(), line.style_dashed)
        else
            box.new(id.loc, id.top, time, id.btm, na
              , bgcolor = css
              , extend = extend.right
              , xloc = xloc.bar_time)
            line.new(id.loc, id.top, time, id.top, xloc.bar_time, extend.right, css.notransp())
            line.new(id.loc, id.btm, time, id.btm, xloc.bar_time, extend.right, css.notransp())
    //—————————————————————————–}
    //Detect Swings
    //—————————————————————————–{
    n = bar_index
    [top, btm] = swings(length)
    max = useBody ? math.max(close, open) : high
    min = useBody ? math.min(close, open) : low
    //—————————————————————————–}
    //Bullish OB
    //—————————————————————————–{
    var bullish_ob = array.new<ob>(0)
    bull_break_conf = 0
    if close > top.y and not top.crossed
        top.crossed := true
        minima = max[1]
        maxima = min[1]
        loc = time[1]
        for i = 1 to (n – top.x)-1
            minima := math.min(min[i], minima)
            maxima := minima == min[i] ? max[i] : maxima
            loc := minima == min[i] ? time[i] : loc
        bullish_ob.unshift(ob.new(maxima, minima, loc))
    if bullish_ob.size() > 0
        for i = bullish_ob.size()-1 to 0
            element = bullish_ob.get(i)
            ifnotelement.breaker
                if math.min(close, open) < element.btm
                    element.breaker := true
                    element.break_loc := time
            else
                if close > element.top
                    bullish_ob.remove(i)
                elseifi<showBullandtop.y<element.topandtop.y>element.btm
                    bull_break_conf := 1
    //Set label
    if bull_break_conf > bull_break_conf[1] and showLabels
        label.new(top.x, top.y, ‘▼’, color = na
          , textcolor = bearCss.notransp()
          , style = label.style_label_down
          , size = size.tiny)
    //—————————————————————————–}
    //Bearish OB
    //—————————————————————————–{
    var bearish_ob = array.new<ob>(0)
    bear_break_conf = 0
    if close < btm.y and not btm.crossed
        btm.crossed := true
        minima = min[1]
        maxima = max[1]
        loc = time[1]
        for i = 1 to (n – btm.x)-1
            maxima := math.max(max[i], maxima)
            minima := maxima == max[i] ? min[i] : minima
            loc := maxima == max[i] ? time[i] : loc
        bearish_ob.unshift(ob.new(maxima, minima, loc))
    if bearish_ob.size() > 0
        for i = bearish_ob.size()-1 to 0
            element = bearish_ob.get(i)
            ifnotelement.breaker
                if math.max(close, open) > element.top
                    element.breaker := true
                    element.break_loc := time
            else
                if close < element.btm
                    bearish_ob.remove(i)
                elseifi<showBearandbtm.y>element.btmandbtm.y<element.top
                    bear_break_conf := 1
    //Set label
    if bear_break_conf > bear_break_conf[1] and showLabels
        label.new(btm.x, btm.y, ‘▲’, color = na
          , textcolor = bullCss.notransp()
          , style = label.style_label_up
          , size = size.tiny)
    //—————————————————————————–}
    //Set Order Blocks
    //—————————————————————————–{
    for bx in box.all
        bx.delete()
    for l in line.all
        l.delete()
    if barstate.islast
        //Bullish
        if showBull > 0
            for i = 0 to math.min(showBull-1, bullish_ob.size())
                get_ob = bullish_ob.get(i)
                get_ob.display(bullCss, bullBreakCss)
        //Bearish
        if showBear > 0
            for i = 0 to math.min(showBear-1, bearish_ob.size())
                get_ob = bearish_ob.get(i)
                get_ob.display(bearCss, bearBreakCss)
    //—————————————————————————–}
    09/30/2024 at 12:34 PM #238290
    Iván

    Here you have the code:

    09/30/2024 at 12:54 PM #238291
    colin2510

    Hello thanks for the code!

    However, I keep getting following error message:

    “Line 1:
    Any of the following sign would be more appropriate than “a parameter name”: THEN”

    See attachment.

     

     

     

     

    09/30/2024 at 6:01 PM #238300
    robertogozzi

    It works like a charm to me.

    Check that both the first and the last lines in your code are the same as those posted above, as it may happen that Copy & Paste adds odd characters and lines, at times.

     

    09/30/2024 at 8:59 PM #238305
    colin2510

    The problem seems to be that it works in V12 but not in V11.

    I only have acces to ProRealTime V11 (via my broker).

    Is it possible to make the code work in V11?

    Such a good indicator..

    Thank you!

    10/01/2024 at 8:07 AM #238326
    Iván

    Find the drawing lines of the rectangles and remove the fillcolor("red") part. This should work for you.

    2 users thanked author for this post.
    avatar colin2510, avatar robertogozzi
    10/01/2024 at 8:32 AM #238334
    colin2510

    works perfectely thank you!!

    10/01/2024 at 8:50 AM #238337
    colin2510

    I see that the title of my topic was wrong (Divergences instead of Order Blocks). Can you look at the following indicator for Divergences, also from Tradingview?

    10/01/2024 at 8:52 AM #238338
    colin2510
    // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
    // © LonesomeTheBlue
    //@version=4
    study(“Divergence for Many Indicators v4 Colin”, overlay = true, max_bars_back = 1000, max_lines_count = 400, max_labels_count = 400)
    prd = input(defval = 5, title = “Pivot Period”, minval = 1, maxval = 50)
    source = input(defval = “Close”, title = “Source for Pivot Points”, options = [“Close”, “High/Low”])
    searchdiv = input(defval = “Regular”, title = “Divergence Type”, options = [“Regular”, “Hidden”, “Regular/Hidden”])
    showindis = input(defval = “Full”, title = “Show Indicator Names”, options = [“Full”, “First Letter”, “Don’t Show”])
    showlimit = input(1, title=”Minimum Number of Divergence”, minval = 1, maxval = 11)
    maxpp = input(defval = 10, title = “Maximum Pivot Points to Check”, minval = 1, maxval = 20)
    maxbars = input(defval = 100, title = “Maximum Bars to Check”, minval = 30, maxval = 200)
    shownum = input(defval = true, title = “Show Divergence Number”)
    showlast = input(defval = false, title = “Show Only Last Divergence”)
    dontconfirm = input(defval = false, title = “Don’t Wait for Confirmation”)
    showlines = input(defval = true, title = “Show Divergence Lines”)
    showpivot = input(defval = false, title = “Show Pivot Points”)
    calcmacd = input(defval = true, title = “MACD”)
    calcmacda = input(defval = true, title = “MACD Histogram”)
    calcrsi = input(defval = true, title = “RSI”)
    calcstoc = input(defval = true, title = “Stochastic”)
    calccci = input(defval = true, title = “CCI”)
    calcmom = input(defval = true, title = “Momentum”)
    calcobv = input(defval = true, title = “OBV”)
    calcvwmacd = input(true, title = “VWmacd”)
    calccmf = input(true, title = “Chaikin Money Flow”)
    calcmfi = input(true, title = “Money Flow Index”)
    calcext = input(false, title = “Check External Indicator”)
    externalindi = input(defval = close, title = “External Indicator”)
    pos_reg_div_col = input(defval = color.yellow, title = “Positive Regular Divergence”)
    neg_reg_div_col = input(defval = color.navy, title = “Negative Regular Divergence”)
    pos_hid_div_col = input(defval = color.lime, title = “Positive Hidden Divergence”)
    neg_hid_div_col = input(defval = color.red, title = “Negative Hidden Divergence”)
    pos_div_text_col = input(defval = color.black, title = “Positive Divergence Text Color”)
    neg_div_text_col = input(defval = color.white, title = “Negative Divergence Text Color”)
    reg_div_l_style_ = input(defval = “Solid”, title = “Regular Divergence Line Style”, options = [“Solid”, “Dashed”, “Dotted”])
    hid_div_l_style_ = input(defval = “Dashed”, title = “Hdden Divergence Line Style”, options = [“Solid”, “Dashed”, “Dotted”])
    reg_div_l_width = input(defval = 2, title = “Regular Divergence Line Width”, minval = 1, maxval = 5)
    hid_div_l_width = input(defval = 1, title = “Hidden Divergence Line Width”, minval = 1, maxval = 5)
    showmas = input(defval = false, title = “Show MAs 50 & 200”, inline = “ma12”)
    cma1col = input(defval = color.orange, title = “”, inline = “ma12”)
    cma2col = input(defval = color.blue, title = “”, inline = “ma12”)
    cma3col = input(defval = color.black, title = “”, inline = “ma12”)
    plot(showmas ? sma(close, 21) : na, color = showmas ? cma1col : na)
    plot(showmas ? sma(close, 50) : na, color = showmas ? cma2col: na)
    plot(showmas ? sma(close, 200) : na, color = showmas ? cma3col : na)
    // set line styles
    varreg_div_l_style=reg_div_l_style_==”Solid”?line.style_solid:
                           reg_div_l_style_ == “Dashed” ? line.style_dashed :
                           line.style_dotted
    varhid_div_l_style=hid_div_l_style_==”Solid”?line.style_solid:
                           hid_div_l_style_ == “Dashed” ? line.style_dashed :
                           line.style_dotted
    // get indicators
    rsi = rsi(close, 14) // RSI
    [macd, signal, deltamacd] = macd(close, 12, 26, 9) // MACD
    moment = mom(close, 10) // Momentum
    cci = cci(close, 10) // CCI
    Obv = obv // OBV
    stk = sma(stoch(close, high, low, 14), 3) // Stoch
    maFast = vwma(close, 12), maSlow = vwma(close, 26), vwmacd = maFast – maSlow // volume weighted macd
    Cmfm = ((close-low) – (high-close)) / (high – low), Cmfv = Cmfm * volume, cmf = sma(Cmfv, 21) / sma(volume,21) // Chaikin money flow
    Mfi = mfi(close, 14) // Moneyt Flow Index
    // keep indicators names and colors in arrays
    var indicators_name = array.new_string(11)
    var div_colors = array.new_color(4)
    if barstate.isfirst
        // names
        array.set(indicators_name, 0, showindis == “Full” ? “MACD” : “M”)
        array.set(indicators_name, 1, showindis == “Full” ? “Hist” : “H”)
        array.set(indicators_name, 2, showindis == “Full” ? “RSI” : “E”)
        array.set(indicators_name, 3, showindis == “Full” ? “Stoch” : “S”)
        array.set(indicators_name, 4, showindis == “Full” ? “CCI” : “C”)
        array.set(indicators_name, 5, showindis == “Full” ? “MOM” : “M”)
        array.set(indicators_name, 6, showindis == “Full” ? “OBV” : “O”)
        array.set(indicators_name, 7, showindis == “Full” ? “VWMACD” : “V”)
        array.set(indicators_name, 8, showindis == “Full” ? “CMF” : “C”)
        array.set(indicators_name, 9, showindis == “Full” ? “MFI” : “M”)
        array.set(indicators_name,10, showindis == “Full” ? “Extrn” : “X”)
        //colors
        array.set(div_colors, 0, pos_reg_div_col)
        array.set(div_colors, 1, neg_reg_div_col)
        array.set(div_colors, 2, pos_hid_div_col)
        array.set(div_colors, 3, neg_hid_div_col)
    // Check if we get new Pivot High Or Pivot Low
    float ph = pivothigh((source == “Close” ? close : high), prd, prd)
    float pl = pivotlow((source == “Close” ? close : low), prd, prd)
    plotshape(ph and showpivot, text = “H”,  style = shape.labeldown, color = color.new(color.white, 100), textcolor = color.red, location = location.abovebar, offset = -prd)
    plotshape(pl and showpivot, text = “L”,  style = shape.labelup, color = color.new(color.white, 100), textcolor = color.lime, location = location.belowbar, offset = -prd)
    // keep values and positions of Pivot Highs/Lows in the arrays
    var int maxarraysize = 20
    var ph_positions = array.new_int(maxarraysize, 0)
    var pl_positions = array.new_int(maxarraysize, 0)
    var ph_vals = array.new_float(maxarraysize, 0.)
    var pl_vals = array.new_float(maxarraysize, 0.)
    // add PHs to the array
    if ph
        array.unshift(ph_positions, bar_index)
        array.unshift(ph_vals, ph)
        if array.size(ph_positions) > maxarraysize
            array.pop(ph_positions)
            array.pop(ph_vals)
    // add PLs to the array
    if pl
        array.unshift(pl_positions, bar_index)
        array.unshift(pl_vals, pl)
        if array.size(pl_positions) > maxarraysize
            array.pop(pl_positions)
            array.pop(pl_vals)
    // functions to check Regular Divergences and Hidden Divergences
    // function to check positive regular or negative hidden divergence
    // cond == 1 => positive_regular, cond == 2=> negative_hidden
    positive_regular_positive_hidden_divergence(src, cond)=>
        divlen = 0
        prsc = source == “Close” ? close : low
        // if indicators higher than last value and close price is higher than las close
        if dontconfirm or src > src[1] or close > close[1]
            startpoint = dontconfirm ? 0 : 1 // don’t check last candle
            // we search last 15 PPs
            for x = 0 to maxpp – 1
                len = bar_index – array.get(pl_positions, x) + prd
                // if we reach non valued array element or arrived 101. or previous bars then we don’t search more
                if array.get(pl_positions, x) == 0 or len > maxbars
                    break
                iflen>5and
                   ((cond == 1 and src[startpoint] > src[len] and prsc[startpoint] < nz(array.get(pl_vals, x))) or
                   (cond == 2 and src[startpoint] < src[len] and prsc[startpoint] > nz(array.get(pl_vals, x))))
                    slope1 = (src[startpoint] – src[len]) / (len – startpoint)
                    virtual_line1 = src[startpoint] – slope1
                    slope2 = (close[startpoint] – close[len]) / (len – startpoint)
                    virtual_line2 = close[startpoint] – slope2
                    arrived = true
                    for y = 1 + startpoint to len – 1
                        if src[y] < virtual_line1 or nz(close[y]) < virtual_line2
                            arrived := false
                            break
                        virtual_line1 := virtual_line1 – slope1
                        virtual_line2 := virtual_line2 – slope2
                    if arrived
                        divlen := len
                        break
        divlen
    // function to check negative regular or positive hidden divergence
    // cond == 1 => negative_regular, cond == 2=> positive_hidden
    negative_regular_negative_hidden_divergence(src, cond)=>
        divlen = 0
        prsc = source == “Close” ? close : high
        // if indicators higher than last value and close price is higher than las close
        if dontconfirm or src < src[1] or close < close[1]
            startpoint = dontconfirm ? 0 : 1 // don’t check last candle
            // we search last 15 PPs
            for x = 0 to maxpp – 1
                len = bar_index – array.get(ph_positions, x) + prd
                // if we reach non valued array element or arrived 101. or previous bars then we don’t search more
                if array.get(ph_positions, x) == 0 or len > maxbars
                    break
                iflen>5and
                   ((cond==1andsrc[startpoint]<src[len]andprsc[startpoint]>nz(array.get(ph_vals,x)))or
                   (cond == 2 and src[startpoint] > src[len] and prsc[startpoint] < nz(array.get(ph_vals, x))))
                    slope1 = (src[startpoint] – src[len]) / (len – startpoint)
                    virtual_line1 = src[startpoint] – slope1
                    slope2 = (close[startpoint] – nz(close[len])) / (len – startpoint)
                    virtual_line2 = close[startpoint] – slope2
                    arrived = true
                    for y = 1 + startpoint to len – 1
                        if src[y] > virtual_line1 or nz(close[y]) > virtual_line2
                            arrived := false
                            break
                        virtual_line1 := virtual_line1 – slope1
                        virtual_line2 := virtual_line2 – slope2
                    if arrived
                        divlen := len
                        break
        divlen
    // calculate 4 types of divergence if enabled in the options and return divergences in an array
    calculate_divs(cond, indicator)=>
        divs = array.new_int(4, 0)
        array.set(divs, 0, cond and (searchdiv == “Regular” or searchdiv == “Regular/Hidden”) ? positive_regular_positive_hidden_divergence(indicator, 1) : 0)
        array.set(divs, 1, cond and (searchdiv == “Regular” or searchdiv == “Regular/Hidden”) ? negative_regular_negative_hidden_divergence(indicator, 1) : 0)
        array.set(divs, 2, cond and (searchdiv == “Hidden” or searchdiv == “Regular/Hidden”)  ? positive_regular_positive_hidden_divergence(indicator, 2) : 0)
        array.set(divs, 3, cond and (searchdiv == “Hidden” or searchdiv == “Regular/Hidden”)  ? negative_regular_negative_hidden_divergence(indicator, 2) : 0)
        divs
    // array to keep all divergences
    var all_divergences = array.new_int(44) // 11 indicators * 4 divergence = 44 elements
    // set related array elements
    array_set_divs(div_pointer, index)=>
        for x = 0 to 3
            array.set(all_divergences, index * 4 + x, array.get(div_pointer, x))
    // set divergences array
    array_set_divs(calculate_divs(calcmacd, macd), 0)
    array_set_divs(calculate_divs(calcmacda, deltamacd), 1)
    array_set_divs(calculate_divs(calcrsi, rsi), 2)
    array_set_divs(calculate_divs(calcstoc, stk), 3)
    array_set_divs(calculate_divs(calccci, cci), 4)
    array_set_divs(calculate_divs(calcmom, moment), 5)
    array_set_divs(calculate_divs(calcobv, Obv), 6)
    array_set_divs(calculate_divs(calcvwmacd, vwmacd), 7)
    array_set_divs(calculate_divs(calccmf, cmf), 8)
    array_set_divs(calculate_divs(calcmfi, Mfi), 9)
    array_set_divs(calculate_divs(calcext, externalindi), 10)
    // check minimum number of divergence, if less than showlimit then delete all divergence
    total_div = 0
    for x = 0 to array.size(all_divergences) – 1
        total_div := total_div + round(sign(array.get(all_divergences, x)))
    if total_div < showlimit
        array.fill(all_divergences, 0)
    // keep line in an array
    var pos_div_lines = array.new_line(0)
    var neg_div_lines = array.new_line(0)
    var pos_div_labels = array.new_label(0)
    varneg_div_labels=array.new_label(0)
    // remove old lines and labels if showlast option is enabled
    delete_old_pos_div_lines()=>
        if array.size(pos_div_lines) > 0
            forj=0toarray.size(pos_div_lines)-1
                line.delete(array.get(pos_div_lines, j))
            array.clear(pos_div_lines)
    delete_old_neg_div_lines()=>
        if array.size(neg_div_lines) > 0
            forj=0toarray.size(neg_div_lines)-1
                line.delete(array.get(neg_div_lines, j))
            array.clear(neg_div_lines)
    delete_old_pos_div_labels()=>
        ifarray.size(pos_div_labels)>0
            forj=0toarray.size(pos_div_labels)-1
                label.delete(array.get(pos_div_labels, j))
            array.clear(pos_div_labels)
    delete_old_neg_div_labels()=>
        if array.size(neg_div_labels) > 0
            forj=0toarray.size(neg_div_labels)-1
                label.delete(array.get(neg_div_labels, j))
            array.clear(neg_div_labels)
    // delete last creted lines and labels until we met new PH/PV
    delete_last_pos_div_lines_label(n)=>
        if n > 0 and array.size(pos_div_lines) >= n
            asz = array.size(pos_div_lines)
            for j = 1 to n
                line.delete(array.get(pos_div_lines, asz – j))
                array.pop(pos_div_lines)
            if array.size(pos_div_labels) > 0
                label.delete(array.get(pos_div_labels, array.size(pos_div_labels) – 1))
                array.pop(pos_div_labels)
    delete_last_neg_div_lines_label(n)=>
        if n > 0 and array.size(neg_div_lines) >= n
            asz = array.size(neg_div_lines)
            for j = 1 to n
                line.delete(array.get(neg_div_lines, asz – j))
                array.pop(neg_div_lines)
            if array.size(neg_div_labels) > 0
                label.delete(array.get(neg_div_labels, array.size(neg_div_labels) – 1))
                array.pop(neg_div_labels)
    // variables for Alerts
    pos_reg_div_detected = false
    neg_reg_div_detected = false
    pos_hid_div_detected = false
    neg_hid_div_detected = false
    // to remove lines/labels until we met new // PH/PL
    var last_pos_div_lines = 0
    var last_neg_div_lines = 0
    varremove_last_pos_divs=false
    var remove_last_neg_divs = false
    if pl
        remove_last_pos_divs := false
        last_pos_div_lines := 0
    if ph
        remove_last_neg_divs := false
        last_neg_div_lines := 0
    // draw divergences lines and labels
    divergence_text_top = “”
    divergence_text_bottom = “”
    distances = array.new_int(0)
    dnumdiv_top = 0
    dnumdiv_bottom = 0
    top_label_col = color.white
    bottom_label_col = color.white
    old_pos_divs_can_be_removed = true
    old_neg_divs_can_be_removed = true
    startpoint = dontconfirm ? 0 : 1 // used for don’t confirm option
    for x = 0 to 10
        div_type = -1
        for y = 0 to 3
            if array.get(all_divergences, x * 4 + y) > 0 // any divergence?
                div_type := y
                if(y%2)==1
                    dnumdiv_top := dnumdiv_top + 1
                    top_label_col := array.get(div_colors, y)
                if (y % 2) == 0
                    dnumdiv_bottom := dnumdiv_bottom + 1
                    bottom_label_col := array.get(div_colors, y)
                if not array.includes(distances, array.get(all_divergences, x * 4 + y))  // line not exist ?
                    array.push(distances, array.get(all_divergences, x * 4 + y))
                    new_line=showlines?line.new(x1=bar_index-array.get(all_divergences,x*4+y),
                              y1=(source==”Close”?close[array.get(all_divergences,x*4+y)]:
                                               (y%2)==0?low[array.get(all_divergences,x*4+y)]:
                                                              high[array.get(all_divergences, x * 4 + y)]),
                              x2 = bar_index – startpoint,
                              y2=(source==”Close”?close[startpoint]:
                                               (y%2)==0?low[startpoint]:
                                                              high[startpoint]),
                              color = array.get(div_colors, y),
                              style = y < 2 ? reg_div_l_style : hid_div_l_style,
                              width = y < 2 ? reg_div_l_width : hid_div_l_width
                              )
                              : na
                    if (y % 2) == 0
                        if old_pos_divs_can_be_removed
                            old_pos_divs_can_be_removed := false
                            if not showlast and remove_last_pos_divs
                                delete_last_pos_div_lines_label(last_pos_div_lines)
                                last_pos_div_lines := 0
                            if showlast
                                delete_old_pos_div_lines()
                        array.push(pos_div_lines, new_line)
                        last_pos_div_lines := last_pos_div_lines + 1
                        remove_last_pos_divs := true
                    if (y % 2) == 1
                        if old_neg_divs_can_be_removed
                            old_neg_divs_can_be_removed := false
                            if not showlast and remove_last_neg_divs
                                delete_last_neg_div_lines_label(last_neg_div_lines)
                                last_neg_div_lines := 0
                            if showlast
                                delete_old_neg_div_lines()
                        array.push(neg_div_lines, new_line)
                        last_neg_div_lines := last_neg_div_lines + 1
                        remove_last_neg_divs := true
                // set variables for alerts
                if y == 0
                    pos_reg_div_detected := true
                if y == 1
                    neg_reg_div_detected := true
                if y == 2
                    pos_hid_div_detected := true
                if y == 3
                    neg_hid_div_detected := true
        // get text for labels
        if div_type >= 0
            divergence_text_top    := divergence_text_top    + ((div_type % 2) == 1 ? (showindis != “Don’t Show” ? array.get(indicators_name, x) + “\n” : “”) : “”)
            divergence_text_bottom := divergence_text_bottom + ((div_type % 2) == 0 ? (showindis != “Don’t Show” ? array.get(indicators_name, x) + “\n” : “”) : “”)
    // draw labels
    if showindis != “Don’t Show” or shownum
        if shownum and dnumdiv_top > 0
            divergence_text_top := divergence_text_top + tostring(dnumdiv_top)
        if shownum and dnumdiv_bottom > 0
            divergence_text_bottom := divergence_text_bottom + tostring(dnumdiv_bottom)
        if divergence_text_top != “”
            if showlast
                delete_old_neg_div_labels()
            array.push(neg_div_labels,
                          label.new(x=bar_index,
                                     y=max(high,high[1]),
                                     text = divergence_text_top,
                                     color = top_label_col,
                                     textcolor = neg_div_text_col,
                                     style = label.style_label_down
                                     ))
        if divergence_text_bottom != “”
            if showlast
                delete_old_pos_div_labels()
            array.push(pos_div_labels,
                          label.new(x=bar_index,
                                     y=min(low,low[1]),
                                     text = divergence_text_bottom,
                                     color=bottom_label_col,
                                     textcolor = pos_div_text_col,
                                     style = label.style_label_up
                                     ))
    alertcondition(pos_reg_div_detected, title=’Positive Regular Divergence Detected’, message=’Positive Regular Divergence Detected’)
    alertcondition(neg_reg_div_detected, title=’Negative Regular Divergence Detected’, message=’Negative Regular Divergence Detected’)
    alertcondition(pos_hid_div_detected, title=’Positive Hidden Divergence Detected’, message=’Positive Hidden Divergence Detected’)
    alertcondition(neg_hid_div_detected, title=’Negative Hidden Divergence Detected’, message=’Negative Hidden Divergence Detected’)
    alertcondition(pos_reg_div_detected or pos_hid_div_detected, title=’Positive Divergence Detected’, message=’Positive Divergence Detected’)
    alertcondition(neg_reg_div_detected or neg_hid_div_detected, title=’Negative Divergence Detected’, message=’Negative Divergence Detected’)
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