Signal Saham IHSG 6 Agustus 2026 (code)

2 bulan ini kita pelatihan saham untuk calon pensiunan.

Dan dapet kesempatan untuk dev indikator dan backtest.

AADI : 8825

ADRO : 2480 (7/8)

AKRA : 1375 (4/7)

AMMN : 4120 (0/1)

Dari list saham yang sudah kita pilih fundamental yang baik di dapat :

ASII : 4930

BSSR : 4210

BUMI : 169

DEWA : 430

DSSA : 850

PWON : 252

TAPG : 1730

TMAS : 118

TPIA : 1920

UNVR : 1715

SAHAM YANG DI MONITOR 34

// Zeiierman (Modifikasi Strategy Long Only oleh AI)

//@version=6

strategy('SuperTrend Cluster Strategy (Long Only) [FIXED]',

     overlay = true,

     max_bars_back = 2000,

     initial_capital = 10000,

     default_qty_type = strategy.percent_of_equity,

     default_qty_value = 100,

     commission_type = strategy.commission.percent,

     commission_value = 0.1,

     slippage = 1,

     pyramiding = 0,              // Eksplisit: tidak boleh posisi bertumpuk

     calc_on_every_tick = false)  // Hanya dieksekusi saat bar close (hindari repaint)

// ~~ Tooltips {

var string t1  = "Minimum weighted agreement required for the bullish or bearish cluster to become valid. Higher values demand stronger alignment across the SuperTrend set."

var string t2  = "Selects which one of the five SuperTrend members is used as the base reference for flip markers, label placement, and final direction alignment."

var string t3  = "Colors the candles and bars using the live cluster strength gradient. When disabled, chart candles keep their default chart colors."

var string t4  = "Shows or hides the Bull Cluster and Bear Cluster labels when the selected base SuperTrend flips."

var string t5  = "Shows or hides the small base SuperTrend flip markers plotted at the selected base SuperTrend line."

var string t6  = "Main bullish color used for bullish trend lines, bullish labels, bullish markers, and bullish candle coloring."

var string t7  = "Main bearish color used for bearish trend lines, bearish labels, bearish markers, and bearish candle coloring."

var string t8  = "Neutral midpoint color used by the bar and candle gradient when bullish and bearish cluster pressure is balanced."

var string t9  = "ATR length for SuperTrend 1. Lower values react faster to price changes, while higher values make this member slower and smoother."

var string t10 = "ATR multiplier for SuperTrend 1. Higher values place the band farther from price and reduce sensitivity."

var string t11 = "Smoothing method applied to the source before SuperTrend 1 is calculated."

var string t12 = "Length of the smoothing used for SuperTrend 1. Higher values smooth more but add lag."

var string t13 = "Relative influence of SuperTrend 1 inside the weighted cluster. Higher values make this member contribute more to the final consensus."

var string t14 = "ATR length for SuperTrend 2. Lower values react faster to price changes, while higher values make this member slower and smoother."

var string t15 = "ATR multiplier for SuperTrend 2. Higher values place the band farther from price and reduce sensitivity."

var string t16 = "Smoothing method applied to the source before SuperTrend 2 is calculated."

var string t17 = "Length of the smoothing used for SuperTrend 2. Higher values smooth more but add lag."

var string t18 = "Relative influence of SuperTrend 2 inside the weighted cluster. Higher values make this member contribute more to the final consensus."

var string t19 = "ATR length for SuperTrend 3. Lower values react faster to price changes, while higher values make this member slower and smoother."

var string t20 = "ATR multiplier for SuperTrend 3. Higher values place the band farther from price and reduce sensitivity."

var string t21 = "Smoothing method applied to the source before SuperTrend 3 is calculated."

var string t22 = "Length of the smoothing used for SuperTrend 3. Higher values smooth more but add lag."

var string t23 = "Relative influence of SuperTrend 3 inside the weighted cluster. Higher values make this member contribute more to the final consensus."

var string t24 = "ATR length for SuperTrend 4. Lower values react faster to price changes, while higher values make this member slower and smoother."

var string t25 = "ATR multiplier for SuperTrend 4. Higher values place the band farther from price and reduce sensitivity."

var string t26 = "Smoothing method applied to the source before SuperTrend 4 is calculated."

var string t27 = "Length of the smoothing used for SuperTrend 4. Higher values smooth more but add lag."

var string t28 = "Relative influence of SuperTrend 4 inside the weighted cluster. Higher values make this member contribute more to the final consensus."

var string t29 = "ATR length for SuperTrend 5. Lower values react faster to price changes, while higher values make this member slower and smoother."

var string t30 = "ATR multiplier for SuperTrend 5. Higher values place the band farther from price and reduce sensitivity."

var string t31 = "Smoothing method applied to the source before SuperTrend 5 is calculated."

var string t32 = "Length of the smoothing used for SuperTrend 5. Higher values smooth more but add lag."

var string t33 = "Relative influence of SuperTrend 5 inside the weighted cluster. Higher values make this member contribute more to the final consensus."

var string t34 = "Fills the area between the active cluster SuperTrend line and a smoothed price reference with a translucent cloud."

var string t35 = "Length of the smoothing used for the hidden price reference that the cloud fills toward. Higher values create a steadier, softer cloud."

var string t36 = "Bullish cloud color used when the active cluster regime is bullish."

var string t37 = "Bearish cloud color used when the active cluster regime is bearish."

var string t38 = "Transparency of the cloud fill. Lower values are more solid, higher values are more subtle."

var string t39 = "Enable or disable the strategy backtest date filter. When enabled, trades only occur from 1 January 2020 onwards."

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ INPUT PARAMETERS {

gCe = 'Cluster Engine'

thr = input.float(0.60, 'Consensus Threshold', minval = 0.0, maxval = 1.0, step = 0.01, group = gCe, tooltip = t1)

baseIx = input.int(3, 'Base SuperTrend Index', minval = 1, maxval = 5, group = gCe, tooltip = t2)

gVi = 'Visual Analytics'

useBc = input.bool(true, 'Dynamic Bar Coloring', group = gVi, tooltip = t3)

showLbl = input.bool(true, 'Show Cluster Labels', group = gVi, tooltip = t4)

showDot = input.bool(true, 'Show Base SuperTrend Flip Dots', group = gVi, tooltip = t5)

cBu = input.color(color.new(color.lime, 0), 'Bull', group = gVi, inline = 'col', tooltip = t6)

cBe = input.color(color.new(#f7525f, 0), 'Bear', group = gVi, inline = 'col', tooltip = t7)

cN  = input.color(color.new(#ff9800, 0), 'Neutral', group = gVi, inline = 'col', tooltip = t6 + "\n\n" + t7 + "\n\n" + t8)

gCf = 'Cloud Fill'

showCloud = input.bool(true, 'Show Cloud Fill', group = gCf, tooltip = t34)

cloudLen = input.int(8, 'Cloud Reference Length', minval = 1, group = gCf, tooltip = t35)

cCloudBu = input.color(color.new(color.lime, 0), 'Bull Cloud', group = gCf, inline = 'cf', tooltip = t36)

cCloudBe = input.color(color.new(#f7525f, 0), 'Bear Cloud', group = gCf, inline = 'cf', tooltip = t37)

cloudTransp = input.int(65, 'Cloud Transparency', minval = 0, maxval = 95, group = gCf, tooltip = t38)

// ~~ Strategy Settings {

gStg = 'Strategy Settings'

useDateFilter = input.bool(true, 'Use Date Filter (1 Jan 2020+)', group = gStg, tooltip = t39)

startDate = timestamp(2020, 1, 1, 0, 0, 0)

//}

// ~~ SuperTrend 1 {

gSt1 = 'SuperTrend 1'

a1 = input.int(7, 'ATR Length', minval = 1, group = gSt1, inline = '1', tooltip = t9)

f1 = input.float(1.5, 'Factor', minval = 0.01, step = 0.01, group = gSt1, inline = '1', tooltip = t9 + "\n\n" + t10)

m1 = input.string('EMA', 'Smoothing', options = ['SMA', 'EMA', 'LSMA', 'WMA', 'HMA', 'RMA'], group = gSt1, inline = '1.', tooltip = t11)

l1 = input.int(3, 'Length', minval = 1, group = gSt1, inline = '1.', tooltip = t11 + "\n\n" + t12)

w1 = input.float(1.0, 'Weight', minval = 0.0, step = 0.1, group = gSt1, inline = 'w1', tooltip = t13)

//}

// ~~ SuperTrend 2 {

gSt2 = 'SuperTrend 2'

a2 = input.int(10, 'ATR Length', minval = 1, group = gSt2, inline = '2', tooltip = t14)

f2 = input.float(2.0, 'Factor', minval = 0.01, step = 0.01, group = gSt2, inline = '2', tooltip = t14 + "\n\n" + t15)

m2 = input.string('EMA', 'Smoothing', options = ['SMA', 'EMA', 'LSMA', 'WMA', 'HMA', 'RMA'], group = gSt2, inline = '2.', tooltip = t16)

l2 = input.int(5, 'Length', minval = 1, group = gSt2, inline = '2.', tooltip = t16 + "\n\n" + t17)

w2 = input.float(1.0, 'Weight', minval = 0.0, step = 0.1, group = gSt2, inline = 'w2', tooltip = t18)

//}

// ~~ SuperTrend 3 {

gSt3 = 'SuperTrend 3'

a3 = input.int(14, 'ATR Length', minval = 1, group = gSt3, inline = '3', tooltip = t19)

f3 = input.float(2.5, 'Factor', minval = 0.01, step = 0.01, group = gSt3, inline = '3', tooltip = t19 + "\n\n" + t20)

m3 = input.string('SMA', 'Smoothing', options = ['SMA', 'EMA', 'LSMA', 'WMA', 'HMA', 'RMA'], group = gSt3, inline = '3.', tooltip = t21)

l3 = input.int(8, 'Length', minval = 1, group = gSt3, inline = '3.', tooltip = t21 + "\n\n" + t22)

w3 = input.float(1.2, 'Weight', minval = 0.0, step = 0.1, group = gSt3, inline = 'w3', tooltip = t23)

//}

// ~~ SuperTrend 4 {

gSt4 = 'SuperTrend 4'

a4 = input.int(21, 'ATR Length', minval = 1, group = gSt4, inline = '4', tooltip = t24)

f4 = input.float(3.0, 'Factor', minval = 0.01, step = 0.01, group = gSt4, inline = '4', tooltip = t24 + "\n\n" + t25)

m4 = input.string('WMA', 'Smoothing', options = ['SMA', 'EMA', 'LSMA', 'WMA', 'HMA', 'RMA'], group = gSt4, inline = '4.', tooltip = t26)

l4 = input.int(13, 'Length', minval = 1, group = gSt4, inline = '4.', tooltip = t26 + "\n\n" + t27)

w4 = input.float(1.4, 'Weight', minval = 0.0, step = 0.1, group = gSt4, inline = 'w4', tooltip = t28)

//}

// ~~ SuperTrend 5 {

gSt5 = 'SuperTrend 5'

a5 = input.int(34, 'ATR Length', minval = 1, group = gSt5, inline = '5', tooltip = t29)

f5 = input.float(4.0, 'Factor', minval = 0.01, step = 0.01, group = gSt5, inline = '5', tooltip = t29 + "\n\n" + t30)

m5 = input.string('HMA', 'Smoothing', options = ['SMA', 'EMA', 'LSMA', 'WMA', 'HMA', 'RMA'], group = gSt5, inline = '5.', tooltip = t31)

l5 = input.int(21, 'Length', minval = 1, group = gSt5, inline = '5.', tooltip = t31 + "\n\n" + t32)

w5 = input.float(1.6, 'Weight', minval = 0.0, step = 0.1, group = gSt5, inline = 'w5', tooltip = t33)

//}

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ CONSTANTS & STYLING {

EPS = 0.0000001

N = 5

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ HELPER FUNCTIONS {

fMa(t, s, l) =>

    ln = math.max(1, l)

    switch t

        'SMA'  => ta.sma(s, ln)

        'EMA'  => ta.ema(s, ln)

        'LSMA' => ta.linreg(s, ln, 0)

        'WMA'  => ta.wma(s, ln)

        'HMA'  => ta.hma(s, ln)

        'RMA'  => ta.rma(s, ln)

        => ta.sma(s, ln)

fSt(src, atrLen, fac) =>

    atr = ta.atr(math.max(1, atrLen))

    ub0 = src + fac * atr

    lb0 = src - fac * atr

    ub = ub0

    ub := na(ub[1]) ? ub0 : (ub0 < ub[1] or src[1] > ub[1] ? ub0 : ub[1])

    lb = lb0

    lb := na(lb[1]) ? lb0 : (lb0 > lb[1] or src[1] < lb[1] ? lb0 : lb[1])

    d = 1.0

    d := na(d[1]) ? 1.0 : d[1] == -1.0 and src > ub[1] ? 1.0 : d[1] == 1.0 and src < lb[1] ? -1.0 : d[1]

    st = d == 1.0 ? lb : ub

    [st, d]

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ MULTI-SUPERTREND ENGINE {

src = hlc3

s1 = fMa(m1, src, l1)

s2 = fMa(m2, src, l2)

s3 = fMa(m3, src, l3)

s4 = fMa(m4, src, l4)

s5 = fMa(m5, src, l5)

[st1, d1] = fSt(s1, a1, f1)

[st2, d2] = fSt(s2, a2, f2)

[st3, d3] = fSt(s3, a3, f3)

[st4, d4] = fSt(s4, a4, f4)

[st5, d5] = fSt(s5, a5, f5)

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ ARRAYS FOR STORAGE {

var array<float> wArr = array.new_float(0)

var array<float> stArr = array.new_float(0)

var array<float> dArr = array.new_float(0)

if barstate.isfirst

    array.push(wArr, w1), array.push(wArr, w2), array.push(wArr, w3), array.push(wArr, w4), array.push(wArr, w5)

    for _ = 0 to N - 1

        array.push(stArr, na)

        array.push(dArr, na)

if array.size(wArr) != N or array.size(stArr) != N or array.size(dArr) != N

    runtime.error('Array size mismatch. Expected 5 elements in all arrays.')

array.set(stArr, 0, st1), array.set(stArr, 1, st2), array.set(stArr, 2, st3), array.set(stArr, 3, st4), array.set(stArr, 4, st5)

array.set(dArr, 0, d1), array.set(dArr, 1, d2), array.set(dArr, 2, d3), array.set(dArr, 3, d4), array.set(dArr, 4, d5)

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ CONSENSUS ENGINE {

var matrix<float> mDat = matrix.new<float>(N, 3, na)

if matrix.rows(mDat) != N or matrix.columns(mDat) != 3

    runtime.error('Matrix size mismatch. Expected 5x3.')

for i = 0 to N - 1

    matrix.set(mDat, i, 0, array.get(dArr, i))

    matrix.set(mDat, i, 1, array.get(wArr, i))

    matrix.set(mDat, i, 2, array.get(stArr, i))

wSum = 0.0

wBu = 0.0

wBe = 0.0

lnBuNum = 0.0

lnBeNum = 0.0

for i = 0 to N - 1

    d = matrix.get(mDat, i, 0)

    w = matrix.get(mDat, i, 1)

    st = matrix.get(mDat, i, 2)

    wSum += w

    if d > 0

        wBu += w

        lnBuNum += st * w

    else if d < 0

        wBe += w

        lnBeNum += st * w

wSum := math.max(wSum, EPS)

scBu = wBu / wSum

scBe = wBe / wSum

scCl = scBu - scBe

strCl = math.abs(scCl)

lnBu = wBu > 0 ? lnBuNum / wBu : na

lnBe = wBe > 0 ? lnBeNum / wBe : na

baseRow = math.max(0, math.min(N - 1, baseIx - 1))

stB = matrix.get(mDat, baseRow, 2)

dB  = matrix.get(mDat, baseRow, 0)

flipBu = ta.crossover(dB, 0)

flipBe = ta.crossunder(dB, 0)

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ FINAL FILTERED REGIME {

isBu = scBu >= thr

isBe = scBe >= thr

okBu = isBu and dB > 0

okBe = isBe and dB < 0

var float dLast = 0.0

if okBu and not okBe

    dLast := 1.0

else if okBe and not okBu

    dLast := -1.0

lnCl = dLast > 0 ? lnBu : dLast < 0 ? lnBe : na

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ STRATEGY LOGIC (LONG ONLY) — FIXED {

// Filter tanggal: transaksi hanya mulai 1 Januari 2020

inDateRange = useDateFilter ? (time >= startDate) : true

// Sinyal Entry & Exit berdasarkan CLUSTER CONSENSUS (bukan Base ST saja)

alBu = ta.crossover(dLast, 0)

alBe = ta.crossunder(dLast, 0)

// Counter untuk debugging

var int sigLongCount = 0

var int sigExitCount = 0

var int execLongCount = 0

if alBu

    sigLongCount += 1

if alBe

    sigExitCount += 1

// ENTRY LONG: hanya jika tidak ada posisi, dalam date range, dan sinyal valid

// Pengecekan strategy.position_size == 0 mencegah entry di-reject karena pyramiding

longCondition = alBu and inDateRange and (strategy.position_size == 0)

if longCondition

    strategy.entry("Long", strategy.long, comment = "Long Entry")

    execLongCount += 1

// EXIT LONG: hanya jika sedang ada posisi long

// Ini mencegah close yang "gagal" tapi tetap terhitung sebagai sinyal

exitCondition = alBe and (strategy.position_size > 0)

if exitCondition

    strategy.close_all(comment = "Long Exit")

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ VISUALIZATION {

cBar = scCl > 0 ? color.from_gradient(strCl, 0.0, 1.0, cN, cBu) : color.from_gradient(strCl, 0.0, 1.0, cN, cBe)

barcolor(useBc ? cBar : na)

plotcandle(useBc ? open : na, useBc ? high : na, useBc ? low : na, useBc ? close : na, color = useBc ? cBar : na, bordercolor = useBc ? cBar : na, wickcolor = useBc ? cBar : na)

// =============================================================================

// PERHATIAN: Ada 2 jenis sinyal visual yang BERBEDA:

// =============================================================================

// 1. BASE SUPER TREND FLIP (segitiga kecil) — hanya arah Base ST berubah

//    Ini BUKAN sinyal strategy. Bisa muncul meski cluster belum setuju.

plotshape(showDot and flipBu, 'Base ST Flip ▲', shape.triangleup, location.absolute, color.new(cBu, 60), size = size.tiny, text = '·', textcolor = color.new(cBu, 60))

plotshape(showDot and flipBe, 'Base ST Flip ▼', shape.triangledown, location.absolute, color.new(cBe, 60), size = size.tiny, text = '·', textcolor = color.new(cBe, 60))

// 2. STRATEGY SIGNAL (label besar) — ini yang masuk List of Trades

//    Hanya muncul saat CLUSTER CONSENSUS berubah (alBu / alBe)

plotshape(longCondition, 'Strategy LONG', shape.labelup, location.belowbar, color.new(cBu, 10), size = size.small, text = '▲ LONG', textcolor = color.white)

plotshape(exitCondition, 'Strategy EXIT', shape.labeldown, location.abovebar, color.new(cBe, 10), size = size.small, text = '▼ EXIT', textcolor = color.white)

// Label Cluster (opsional)

if showLbl and flipBu

    label.new(bar_index, stB, text = 'Bull Cluster\n' + str.tostring(scBu * 100.0, '#.#') + '%', color = color.new(cBu, 90), textcolor = cBu, style = label.style_label_up, yloc = yloc.price, size = size.small)

if showLbl and flipBe

    label.new(bar_index, stB, text = 'Bear Cluster\n' + str.tostring(scBe * 100.0, '#.#') + '%', color = color.new(cBe, 90), textcolor = cBe, style = label.style_label_down, yloc = yloc.price, size = size.small)

pUp = plot(dLast == 1 ? lnCl : na, 'Cluster Up Trend', color = cBu, style = plot.style_linebr, linewidth = 2)

pDn = plot(dLast == -1 ? lnCl : na, 'Cluster Down Trend', color = cBe, style = plot.style_linebr, linewidth = 2)

// Hidden active-line plot for cloud fill

pCl = plot(lnCl, 'Active Cluster Line', color = color.new(chart.fg_color, 100), display = display.none)

// Hidden smoothed price reference for cloud fill

cloudRef = ta.sma(hlc3, cloudLen)

pRef = plot(cloudRef, 'Cloud Reference', color = color.new(chart.fg_color, 100), display = display.none)

cloudClr = showCloud ? dLast > 0 ? color.new(cCloudBu, cloudTransp) : dLast < 0 ? color.new(cCloudBe, cloudTransp) : na : na

fill(pCl, pRef, lnCl, cloudRef, cloudClr, color(na))

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ DEBUG INFO PANEL {

var table infoPanel = table.new(position.top_right, 2, 6,

     bgcolor = color.new(color.black, 80),

     frame_color = color.gray,

     frame_width = 1,

     border_color = color.gray)

if barstate.islast

    table.cell(infoPanel, 0, 0, "Regime", text_color = color.white, text_size = size.small)

    table.cell(infoPanel, 1, 0, dLast > 0 ? "BULLISH" : dLast < 0 ? "BEARISH" : "NEUTRAL",

         text_color = dLast > 0 ? cBu : dLast < 0 ? cBe : cN, text_size = size.small)

   

    table.cell(infoPanel, 0, 1, "Bull %", text_color = color.white, text_size = size.small)

    table.cell(infoPanel, 1, 1, str.tostring(scBu * 100, "#.#") + "%", text_color = cBu, text_size = size.small)

   

    table.cell(infoPanel, 0, 2, "Bear %", text_color = color.white, text_size = size.small)

    table.cell(infoPanel, 1, 2, str.tostring(scBe * 100, "#.#") + "%", text_color = cBe, text_size = size.small)

   

    table.cell(infoPanel, 0, 3, "In Trade", text_color = color.white, text_size = size.small)

    table.cell(infoPanel, 1, 3, strategy.position_size > 0 ? "YES" : "NO",

         text_color = strategy.position_size > 0 ? cBu : color.gray, text_size = size.small)

   

    // Debug: perbandingan sinyal vs trade

    table.cell(infoPanel, 0, 4, "Sinyal ▲", text_color = color.white, text_size = size.small)

    table.cell(infoPanel, 1, 4, str.tostring(sigLongCount), text_color = cBu, text_size = size.small)

   

    table.cell(infoPanel, 0, 5, "Trade Exec", text_color = color.white, text_size = size.small)

    table.cell(infoPanel, 1, 5, str.tostring(execLongCount), text_color = color.new(cBu, 30), text_size = size.small)

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}

// ~~ ALERTS {

alertcondition(longCondition, 'Long', 'Bullish clustered SuperTrend signal — ENTRY')

alertcondition(exitCondition, 'Exit Long', 'Bearish clustered SuperTrend signal — EXIT')

//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}