//@version=5
indicator('Divergence for Many Indicators v4', overlay=true, max_bars_back=1000, max_lines_count=400, max_labels_count=400)

min_num = 2

prd = input.int(defval=5, title='Pivot Period', minval=1, maxval=50, group="Divergence for Many Indicators v4")
source = input.string(defval='Close', title='Source for Pivot Points', options=['Close', 'High/Low'], group="Divergence for Many Indicators v4")
searchdiv = input.string(defval='Regular', title='Divergence Type', options=['Regular', 'Hidden', 'Regular/Hidden'], group="Divergence for Many Indicators v4")
showindis = 'Full' // input.string(defval='Full', title='Show Indicator Names', options=['Full', 'First Letter', 'Don\'t Show'], group="Divergence for Many Indicators v4")
showlimit = 2 //input.int(2, title='Minimum Number of Divergence', minval=1, maxval=11, group="Divergence for Many Indicators v4")
maxpp = input.int(defval=10, title='Maximum Pivot Points to Check', minval=1, maxval=20, group="Divergence for Many Indicators v4")
maxbars = input.int(defval=100, title='Maximum Bars to Check', minval=30, maxval=200, group="Divergence for Many Indicators v4")
shownum = false //input(defval=true, title='Show Divergence Number', group="Divergence for Many Indicators v4")
showlast = false //input(defval=false, title='Show Only Last Divergence', group="Divergence for Many Indicators v4")
dontconfirm = false //input(defval=false, title='Don\'t Wait for Confirmation', group="Divergence for Many Indicators v4")
showlines = false //input(defval=true, title='Show Divergence Lines', group="Divergence for Many Indicators v4")
showpivot = false //input(defval=false, title='Show Pivot Points', group="Divergence for Many Indicators v4")
calcmacd = true //input(defval=true, title='MACD', group="Divergence for Many Indicators v4")
calcmacda = false //input(defval=true, title='MACD Histogram', group="Divergence for Many Indicators v4")
calcrsi = true //input(defval=true, title='RSI', group="Divergence for Many Indicators v4")
calcstoc = false //input(defval=true, title='Stochastic', group="Divergence for Many Indicators v4")
calccci = false //input(defval=true, title='CCI', group="Divergence for Many Indicators v4")
calcmom = false //input(defval=true, title='Momentum', group="Divergence for Many Indicators v4")
calcobv = false //input(defval=true, title='OBV', group="Divergence for Many Indicators v4")
calcvwmacd = false //input(true, title='VWmacd', group="Divergence for Many Indicators v4")
calccmf = false //input(true, title='Chaikin Money Flow', group="Divergence for Many Indicators v4")
calcmfi = false //input(true, title='Money Flow Index', group="Divergence for Many Indicators v4")
calcext = false //input(false, title='Check External Indicator', group="Divergence for Many Indicators v4")
externalindi = close//input(defval=close, title='External Indicator', group="Divergence for Many Indicators v4")
pos_reg_div_col = color.yellow //input(defval=color.yellow, title='Positive Regular Divergence', group="Divergence for Many Indicators v4")
neg_reg_div_col = color.navy //input(defval=color.navy, title='Negative Regular Divergence', group="Divergence for Many Indicators v4")
pos_hid_div_col = color.lime //input(defval=color.lime, title='Positive Hidden Divergence', group="Divergence for Many Indicators v4")
neg_hid_div_col = color.red //input(defval=color.red, title='Negative Hidden Divergence', group="Divergence for Many Indicators v4")
pos_div_text_col = color.black //input(defval=color.black, title='Positive Divergence Text Color', group="Divergence for Many Indicators v4")
neg_div_text_col = color.white //input(defval=color.white, title='Negative Divergence Text Color', group="Divergence for Many Indicators v4")
reg_div_l_style_ = 'Solid' //input.string(defval='Solid', title='Regular Divergence Line Style', options=['Solid', 'Dashed', 'Dotted'], group="Divergence for Many Indicators v4")
hid_div_l_style_ = 'Dashed' //input.string(defval='Dashed', title='Hdden Divergence Line Style', options=['Solid', 'Dashed', 'Dotted'], group="Divergence for Many Indicators v4")
reg_div_l_width = 2 //input.int(defval=2, title='Regular Divergence Line Width', minval=1, maxval=5, group="Divergence for Many Indicators v4")
hid_div_l_width = 1 //input.int(defval=1, title='Hidden Divergence Line Width', minval=1, maxval=5, group="Divergence for Many Indicators v4")
showmas = input.bool(defval=false, title='Show MAs 50 & 200', inline='ma12', group="Divergence for Many Indicators v4")
cma1col = input.color(defval=color.lime, title='', inline='ma12', group="Divergence for Many Indicators v4")
cma2col = input.color(defval=color.red, title='', inline='ma12', group="Divergence for Many Indicators v4")

plot(showmas ? ta.sma(close, 50) : na, color=showmas ? cma1col : na)
plot(showmas ? ta.sma(close, 200) : na, color=showmas ? cma2col : na)

// set line styles
var reg_div_l_style = reg_div_l_style_ == 'Solid' ? line.style_solid : reg_div_l_style_ == 'Dashed' ? line.style_dashed : line.style_dotted
var hid_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 = ta.rsi(close, 14)  // RSI
[macd, signal, deltamacd] = ta.macd(close, 12, 26, 9)  // MACD
moment = ta.mom(close, 10)  // Momentum
cci = ta.cci(close, 10)  // CCI
Obv = ta.obv  // OBV
stk = ta.sma(ta.stoch(close, high, low, 14), 3)  // Stoch
maFast = ta.vwma(close, 12)  // volume weighted macd
maSlow = ta.vwma(close, 26)
vwmacd = maFast - maSlow
Cmfm = (close - low - (high - close)) / (high - low)  // Chaikin money flow
Cmfv = Cmfm * volume
cmf = ta.sma(Cmfv, 21) / ta.sma(volume, 21)
Mfi = ta.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 = ta.pivothigh(source == 'Close' ? close : high, prd, prd)
float pl = ta.pivotlow(source == 'Close' ? close : low, prd, prd)
plotshape(ph and showpivot, text='H', style=shape.labeldown, color=color.new(color.white, 100), textcolor=color.new(color.red, 0), location=location.abovebar, offset=-prd)
plotshape(pl and showpivot, text='L', style=shape.labelup, color=color.new(color.white, 100), textcolor=color.new(color.lime, 0), 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 by 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
            if len > 5 and (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 by 1
                    if src[y] < virtual_line1 or nz(close[y]) < virtual_line2
                        arrived := false
                        break
                    virtual_line1 -= slope1
                    virtual_line2 -= slope2
                    virtual_line2

                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 by 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
            if len > 5 and (cond == 1 and src[startpoint] < src[len] and prsc[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 by 1
                    if src[y] > virtual_line1 or nz(close[y]) > virtual_line2
                        arrived := false
                        break
                    virtual_line1 -= slope1
                    virtual_line2 -= slope2
                    virtual_line2

                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_1) =>
    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, 1) : 0)
    array.set(divs, 1, cond and (searchdiv == 'Regular' or searchdiv == 'Regular/Hidden') ? negative_regular_negative_hidden_divergence(indicator_1, 1) : 0)
    array.set(divs, 2, cond and (searchdiv == 'Hidden' or searchdiv == 'Regular/Hidden') ? positive_regular_positive_hidden_divergence(indicator_1, 2) : 0)
    array.set(divs, 3, cond and (searchdiv == 'Hidden' or searchdiv == 'Regular/Hidden') ? negative_regular_negative_hidden_divergence(indicator_1, 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 by 1
        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 by 1
    total_div += math.round(math.sign(array.get(all_divergences, x)))
    total_div

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)
var neg_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
        for j = 0 to array.size(pos_div_lines) - 1 by 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
        for j = 0 to array.size(neg_div_lines) - 1 by 1
            line.delete(array.get(neg_div_lines, j))
        array.clear(neg_div_lines)

delete_old_pos_div_labels() =>
    if array.size(pos_div_labels) > 0
        for j = 0 to array.size(pos_div_labels) - 1 by 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
        for j = 0 to array.size(neg_div_labels) - 1 by 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 by 1
            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 by 1
            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
var remove_last_pos_divs = false
var remove_last_neg_divs = false
if pl
    remove_last_pos_divs := false
    last_pos_div_lines := 0
    last_pos_div_lines
if ph
    remove_last_neg_divs := false
    last_neg_div_lines := 0
    last_neg_div_lines

// 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 by 1
    div_type = -1
    for y = 0 to 3 by 1
        if array.get(all_divergences, x * 4 + y) > 0  // any divergence?
            div_type := y
            if y % 2 == 1
                dnumdiv_top += 1
                top_label_col := array.get(div_colors, y)
                top_label_col
            if y % 2 == 0
                dnumdiv_bottom += 1
                bottom_label_col := array.get(div_colors, y)
                bottom_label_col
            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
                            last_pos_div_lines
                        if showlast
                            delete_old_pos_div_lines()
                    array.push(pos_div_lines, new_line)
                    last_pos_div_lines += 1
                    remove_last_pos_divs := true
                    remove_last_pos_divs

                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
                            last_neg_div_lines
                        if showlast
                            delete_old_neg_div_lines()
                    array.push(neg_div_lines, new_line)
                    last_neg_div_lines += 1
                    remove_last_neg_divs := true
                    remove_last_neg_divs

            // set variables for alerts
            if y == 0
                pos_reg_div_detected := true
                pos_reg_div_detected
            if y == 1
                neg_reg_div_detected := true
                neg_reg_div_detected
            if y == 2
                pos_hid_div_detected := true
                pos_hid_div_detected
            if y == 3
                neg_hid_div_detected := true
                neg_hid_div_detected
    // get text for labels
    if div_type >= 0
        divergence_text_top += (div_type % 2 == 1 ? showindis != 'Don\'t Show' ? array.get(indicators_name, x) + '\n' : '' : '')
        divergence_text_bottom += (div_type % 2 == 0 ? showindis != 'Don\'t Show' ? array.get(indicators_name, x) + '\n' : '' : '')
        divergence_text_bottom


// draw labels
if showindis != 'Don\'t Show' or shownum
    if shownum and dnumdiv_top > 0
        divergence_text_top += str.tostring(dnumdiv_top)
        divergence_text_top
    if shownum and dnumdiv_bottom > 0
        divergence_text_bottom += str.tostring(dnumdiv_bottom)
        divergence_text_bottom
    // if divergence_text_top != ''
    //     if showlast
    //         delete_old_neg_div_labels()
    //     array.push(neg_div_labels, label.new(x=bar_index, y=math.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=math.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')

// indicator(title="Moving Average Exponential", shorttitle="EMA", overlay=true, timeframe="", timeframe_gaps=true)
len = input.int(9, minval=1, title="Length", group="EMA")
src = input(close, title="Source", group="EMA")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, group="EMA")
out = ta.ema(src, len)
plot(out, title="EMA", color=color.blue, offset=offset)

ma(source, length, type) =>
    switch type
        "SMA" => ta.sma(source, length)
        "EMA" => ta.ema(source, length)
        "SMMA (RMA)" => ta.rma(source, length)
        "WMA" => ta.wma(source, length)
        "VWMA" => ta.vwma(source, length)

typeMA = input.string(title = "Method", defval = "SMA", options=["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group="Smoothing")
smoothingLength = input.int(title = "Length", defval = 5, minval = 1, maxval = 100, group="Smoothing")

smoothingLine = ma(out, smoothingLength, typeMA)
plot(smoothingLine, title="Smoothing Line", color=#f37f20, offset=offset, display=display.none)

ema_buy =  close>=out
ema_sell = close<=out

long = dnumdiv_bottom >= min_num and ema_buy
short= dnumdiv_top >= min_num and ema_sell

plotshape(long , title="Buy", text="Buy", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white)
plotshape(short , title="Sell", text="Sell", location=location.abovebar, style=shape.labeldown , size=size.tiny, color=color.red, textcolor=color.white)

alertcondition(long , "Buy")
alertcondition(short , "Sell")
alertcondition(long or short, "Buy or Sell")

// Buy signal
buySignal = ta.crossover(close, smoothingLine)
plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny, title="Buy")

// Sell signal
sellSignal = ta.crossunder(close, smoothingLine)
plotshape(sellSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny, title="Sell")