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@tredingview_membership
Tradingview Membership
01 Oct, 13:13
Trading Tournament Oct 2024
( 30 Day's Challenge )
Joining FEES : $19
Rewards :
- Full Fees Refunded if you finish with +10RR
To Participate CONTACT : @Do_Pe_Mi_Ne
More Details : https://discord.gg/a7XmnZbd
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Tradingview Membership
26 Aug, 13:49
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Tradingview Membership
13 May, 15:24
label.set_text(ml, str.tostring(belowMean) + ' < ΞΌ (' + str.tostring(belowMean/30*100, format.percent) + ')')
label.set_x(pl, line.get_x2(k))
label.set_x(ml, line.get_x2(k))
label.set_x(ul, line.get_x2(k)+5)
box.delete(b[1])
line.delete(k[1])
label.delete(pl[1])
label.delete(ml[1])
label.set_x(pl, line.get_x2(k))
label.set_x(ml, line.get_x2(k))
label.set_x(ul, line.get_x2(k)+5)
box.delete(b[1])
line.delete(k[1])
label.delete(pl[1])
label.delete(ml[1])
Tradingview Membership
13 May, 15:24
if not na(highIndex)
f_ccell(array.get(conds, highIndex), 2, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// RSI
if show_rsi
table.cell(table1, 3, 0, 'RSI', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_rcell(array.get(conds, highIndex), 3, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// Beta
if show_beta
table.cell(table1, 4, 0, 'Ξ²', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_bcell(array.get(conds, highIndex), 4, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// Coloring background as separators
bgcolor(showsep and tf2 != 'Visible Range' and tf2 != 'Timestamp' and new_period ? bgcol : na)
// Title
if showtitle
title = table.new(position.top_center, 2, 2)
tfs = (tf=='' ? timeframe.period : str.tostring(tf)) + (timeframe.isminutes ? 'm' : na)
table.cell(title, 0,0, 'β’ ' + (str.tostring(data_type)) + ' change (%) β’', text_color = titcol, text_size = size.normal, text_font_family = font.family_monospace)
table.cell(title, 0,1, (str.tostring(tf2) + ' - ' + str.tostring(tfs)), text_color = titcol, text_size = size.small, text_font_family = font.family_monospace)
// Generating a profile
if showprof and barstate.islast
var int[] zoneCounts = array.new_int(10, 0)
float maxVal = array.max(database)
float minVal = array.min(database)
float distToMax = maxVal - mean
float distToMin = mean - minVal
float maxDist = math.max(distToMax, distToMin)
float zoneSize = maxDist / 5
var int aboveMean = 0
var int belowMean = 0
array.fill(zoneCounts, 0)
left = bar_index + profoffs
k = line.new(left, mean, na, mean, color = color.gray, style = line.style_dashed)
pl = label.new(line.get_x2(k), mean + zoneSize, text = na, color = na, textcolor = color.gray, style = label.style_label_left)
ml = label.new(line.get_x2(k), mean - zoneSize, text = na, color = na, textcolor = color.gray, style = label.style_label_left)
ul = label.new(line.get_x2(k), mean, text = 'ΞΌ', color = na, textcolor = color.gray, style = label.style_label_left)
for i = 0 to array.size(database)-1
val = array.get(database, i)
if (val > mean)
aboveMean := aboveMean + 1
else if (val < mean)
belowMean := belowMean + 1
zoneIndex = int((val - mean + maxDist) / zoneSize)
if (zoneIndex == 10)
zoneIndex := 9
oldCount = array.get(zoneCounts, zoneIndex)
array.set(zoneCounts, zoneIndex, oldCount + 1)
for i = 0 to array.size(zoneCounts)-1
zoneCount = array.get(zoneCounts, i)
bottom = mean - maxDist + i * zoneSize
top = bottom + zoneSize
right = (left + zoneCount * profsize)
bcol = color.from_gradient(zoneCount, -10, array.max(zoneCounts), #ffffff00, profcol)
b = box.new(left, bottom, right, top, border_color = chart.bg_color, bgcolor = bcol, text = ' ' + (zoneCount>0 and zoneCount<=30 ? str.tostring(zoneCount) : ''), text_halign = text.align_left, text_size = size.tiny, border_width = 2, text_color = color.white)
line.set_x2(k, left + array.max(zoneCounts)*(profsize+1) + 15)
label.set_text(pl, str.tostring(aboveMean) + ' > ΞΌ (' + str.tostring(aboveMean/30*100, format.percent) + ')')
f_ccell(array.get(conds, highIndex), 2, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// RSI
if show_rsi
table.cell(table1, 3, 0, 'RSI', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_rcell(array.get(conds, highIndex), 3, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// Beta
if show_beta
table.cell(table1, 4, 0, 'Ξ²', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_bcell(array.get(conds, highIndex), 4, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// Coloring background as separators
bgcolor(showsep and tf2 != 'Visible Range' and tf2 != 'Timestamp' and new_period ? bgcol : na)
// Title
if showtitle
title = table.new(position.top_center, 2, 2)
tfs = (tf=='' ? timeframe.period : str.tostring(tf)) + (timeframe.isminutes ? 'm' : na)
table.cell(title, 0,0, 'β’ ' + (str.tostring(data_type)) + ' change (%) β’', text_color = titcol, text_size = size.normal, text_font_family = font.family_monospace)
table.cell(title, 0,1, (str.tostring(tf2) + ' - ' + str.tostring(tfs)), text_color = titcol, text_size = size.small, text_font_family = font.family_monospace)
// Generating a profile
if showprof and barstate.islast
var int[] zoneCounts = array.new_int(10, 0)
float maxVal = array.max(database)
float minVal = array.min(database)
float distToMax = maxVal - mean
float distToMin = mean - minVal
float maxDist = math.max(distToMax, distToMin)
float zoneSize = maxDist / 5
var int aboveMean = 0
var int belowMean = 0
array.fill(zoneCounts, 0)
left = bar_index + profoffs
k = line.new(left, mean, na, mean, color = color.gray, style = line.style_dashed)
pl = label.new(line.get_x2(k), mean + zoneSize, text = na, color = na, textcolor = color.gray, style = label.style_label_left)
ml = label.new(line.get_x2(k), mean - zoneSize, text = na, color = na, textcolor = color.gray, style = label.style_label_left)
ul = label.new(line.get_x2(k), mean, text = 'ΞΌ', color = na, textcolor = color.gray, style = label.style_label_left)
for i = 0 to array.size(database)-1
val = array.get(database, i)
if (val > mean)
aboveMean := aboveMean + 1
else if (val < mean)
belowMean := belowMean + 1
zoneIndex = int((val - mean + maxDist) / zoneSize)
if (zoneIndex == 10)
zoneIndex := 9
oldCount = array.get(zoneCounts, zoneIndex)
array.set(zoneCounts, zoneIndex, oldCount + 1)
for i = 0 to array.size(zoneCounts)-1
zoneCount = array.get(zoneCounts, i)
bottom = mean - maxDist + i * zoneSize
top = bottom + zoneSize
right = (left + zoneCount * profsize)
bcol = color.from_gradient(zoneCount, -10, array.max(zoneCounts), #ffffff00, profcol)
b = box.new(left, bottom, right, top, border_color = chart.bg_color, bgcolor = bcol, text = ' ' + (zoneCount>0 and zoneCount<=30 ? str.tostring(zoneCount) : ''), text_halign = text.align_left, text_size = size.tiny, border_width = 2, text_color = color.white)
line.set_x2(k, left + array.max(zoneCounts)*(profsize+1) + 15)
label.set_text(pl, str.tostring(aboveMean) + ' > ΞΌ (' + str.tostring(aboveMean/30*100, format.percent) + ')')
Tradingview Membership
13 May, 15:24
for i = 0 to conds_size - 1
if array.get(conds, i)
l := f_create_label(array.get(database, i), i, array.get(names, i))
label.delete(l[1])
if lbltyp=='Label and Line'
li := f_create_line(array.get(database, i), i, array.get(names, i))
line.delete(li[1])
// Table
h = tablesize
table1 = table.new(switchpos(tablepos), 6, 35, border_color = chart.bg_color, border_width = bordsize)
// Function to populate cells with ticker names
f_ncell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(names, ord)), bgcolor = col, text_color = hm ? color.white : color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with plot values
f_vcell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(database, ord), format.percent), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with correlation to mean values
f_ccell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(corrs, ord)), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with RSI values
f_rcell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(rsis, ord)), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with Beta values
f_bcell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(betas, ord)), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Setting up the gradient coloring
f_gcol(x) =>
midv = array.avg(database)
array.max(database, x) >= midv ? color.from_gradient(array.max(database, x), midv, array.max(database), mid, tp) : color.from_gradient(array.max(database, x), array.min(database), midv, bt, mid)
// Filter database based on conditions
filtered_database = array.new_float(0)
for i = 0 to array.size(database) - 1
if array.get(conds, i)
array.push(filtered_database, array.get(database, i))
// Sort the filtered_database in descending order
array.sort(filtered_database, order.descending)
sorted_database = filtered_database
// Populating the table cells
if showtable and barstate.islast
// Ticker names
if show_tick
table.cell(table1, 0, 0, 'Ticker', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_ncell(array.get(conds, highIndex), 0, i + 2, i, hm ? f_gcol(i) : array.get(cols, highIndex), highIndex)
// Percent change
if show_chg
table.cell(table1, 1, 0, 'Ξ', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_vcell(array.get(conds, highIndex), 1, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// Correlation to mean
if show_corr
table.cell(table1, 2, 0, 'π»', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if array.get(conds, i)
l := f_create_label(array.get(database, i), i, array.get(names, i))
label.delete(l[1])
if lbltyp=='Label and Line'
li := f_create_line(array.get(database, i), i, array.get(names, i))
line.delete(li[1])
// Table
h = tablesize
table1 = table.new(switchpos(tablepos), 6, 35, border_color = chart.bg_color, border_width = bordsize)
// Function to populate cells with ticker names
f_ncell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(names, ord)), bgcolor = col, text_color = hm ? color.white : color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with plot values
f_vcell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(database, ord), format.percent), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with correlation to mean values
f_ccell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(corrs, ord)), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with RSI values
f_rcell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(rsis, ord)), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Function to populate cells with Beta values
f_bcell(cond, c, r, txt, col, ord) =>
if cond
table.cell(table1, c, r, str.tostring(array.get(betas, ord)), bgcolor = color.new(col, 10), text_color = hm ? color.white: color.black, height = h, text_size = switchsize(textsize))
// Setting up the gradient coloring
f_gcol(x) =>
midv = array.avg(database)
array.max(database, x) >= midv ? color.from_gradient(array.max(database, x), midv, array.max(database), mid, tp) : color.from_gradient(array.max(database, x), array.min(database), midv, bt, mid)
// Filter database based on conditions
filtered_database = array.new_float(0)
for i = 0 to array.size(database) - 1
if array.get(conds, i)
array.push(filtered_database, array.get(database, i))
// Sort the filtered_database in descending order
array.sort(filtered_database, order.descending)
sorted_database = filtered_database
// Populating the table cells
if showtable and barstate.islast
// Ticker names
if show_tick
table.cell(table1, 0, 0, 'Ticker', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_ncell(array.get(conds, highIndex), 0, i + 2, i, hm ? f_gcol(i) : array.get(cols, highIndex), highIndex)
// Percent change
if show_chg
table.cell(table1, 1, 0, 'Ξ', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
if not na(highIndex)
f_vcell(array.get(conds, highIndex), 1, i + 2, i, hm ? color.new(f_gcol(i), 30) : array.get(cols, highIndex), highIndex)
// Correlation to mean
if show_corr
table.cell(table1, 2, 0, 'π»', text_color = color.white, bgcolor = color.rgb(41, 42, 42))
for i = 0 to array.size(sorted_database) - 1
highValue = array.get(sorted_database, i)
highIndex = array.indexof(database, highValue)
Tradingview Membership
13 May, 15:24
plot(f_plot(V11, C11), color= f_set_color(10), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V12, C12), color= f_set_color(11), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V13, C13), color= f_set_color(12), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V14, C14), color= f_set_color(13), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V15, C15), color= f_set_color(14), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V16, C16), color= f_set_color(15), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V17, C17), color= f_set_color(16), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V18, C18), color= f_set_color(17), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V19, C19), color= f_set_color(18), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V20, C20), color= f_set_color(19), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V21, C21), color= f_set_color(20), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V22, C22), color= f_set_color(21), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V23, C23), color= f_set_color(22), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V24, C24), color= f_set_color(23), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V25, C25), color= f_set_color(24), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V26, C26), color= f_set_color(25), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V27, C27), color= f_set_color(26), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V28, C28), color= f_set_color(27), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V29, C29), color= f_set_color(28), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V30, C30), color= f_set_color(29), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(mean, plotmean), color = tf2 == 'Visible Range' ? (vr ? na : meancol) : tf2=='Timestamp' ? (tr ? na : meancol) : (new_period ? na : meancol), linewidth = 3, style = switchstyle(disp), title = 'Mean')
// Function for creating symbol labels
f_create_label(plot, x, t) =>
top_x = array.max(database, counthl)
bottom_x = array.min(database, counthl)
op = plot > top_x
up = plot < bottom_x
if highlight==false or (highlight and (op or up))
label.new(bar_index + offs, plot, str.tostring(t), size = switchsize(lblsize), color = lbltyp=='Text Label' ? na : f_set_color(x), textcolor = lbltyp=='Text Label' ? f_set_color(x) : (hm ? color.white : color.black), style = label.style_label_left)
// Function for creating lines that connect the plot and the label
f_create_line(plot, x, t) =>
top_x = array.max(database, counthl)
bottom_x = array.min(database, counthl)
op = plot > top_x
up = plot < bottom_x
if highlight==false or (highlight and (op or up))
line.new(bar_index, plot, bar_index+offs, plot, color = lbltyp=='Label and Line' ? f_set_color(x) : na, style = line.style_dotted, width = linewidth)
// Generating labels and lines
conds_size = array.size(conds)
var line li = na
var label l = na
if showlbl and barstate.islast
plot(f_plot(V12, C12), color= f_set_color(11), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V13, C13), color= f_set_color(12), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V14, C14), color= f_set_color(13), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V15, C15), color= f_set_color(14), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V16, C16), color= f_set_color(15), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V17, C17), color= f_set_color(16), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V18, C18), color= f_set_color(17), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V19, C19), color= f_set_color(18), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V20, C20), color= f_set_color(19), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V21, C21), color= f_set_color(20), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V22, C22), color= f_set_color(21), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V23, C23), color= f_set_color(22), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V24, C24), color= f_set_color(23), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V25, C25), color= f_set_color(24), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V26, C26), color= f_set_color(25), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V27, C27), color= f_set_color(26), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V28, C28), color= f_set_color(27), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V29, C29), color= f_set_color(28), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V30, C30), color= f_set_color(29), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(mean, plotmean), color = tf2 == 'Visible Range' ? (vr ? na : meancol) : tf2=='Timestamp' ? (tr ? na : meancol) : (new_period ? na : meancol), linewidth = 3, style = switchstyle(disp), title = 'Mean')
// Function for creating symbol labels
f_create_label(plot, x, t) =>
top_x = array.max(database, counthl)
bottom_x = array.min(database, counthl)
op = plot > top_x
up = plot < bottom_x
if highlight==false or (highlight and (op or up))
label.new(bar_index + offs, plot, str.tostring(t), size = switchsize(lblsize), color = lbltyp=='Text Label' ? na : f_set_color(x), textcolor = lbltyp=='Text Label' ? f_set_color(x) : (hm ? color.white : color.black), style = label.style_label_left)
// Function for creating lines that connect the plot and the label
f_create_line(plot, x, t) =>
top_x = array.max(database, counthl)
bottom_x = array.min(database, counthl)
op = plot > top_x
up = plot < bottom_x
if highlight==false or (highlight and (op or up))
line.new(bar_index, plot, bar_index+offs, plot, color = lbltyp=='Label and Line' ? f_set_color(x) : na, style = line.style_dotted, width = linewidth)
// Generating labels and lines
conds_size = array.size(conds)
var line li = na
var label l = na
if showlbl and barstate.islast
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13 May, 15:24
array.set(betas, 7, f_beta(V8 )), array.set(betas, 17, f_beta(V18)), array.set(betas, 27, f_beta(V28))
array.set(betas, 8, f_beta(V9 )), array.set(betas, 18, f_beta(V19)), array.set(betas, 28, f_beta(V29))
array.set(betas, 9, f_beta(V10)), array.set(betas, 19, f_beta(V20)), array.set(betas, 29, f_beta(V30))
// Calculating RSI and pushing the RSI values into an array
if show_rsi and showtable
array.set(rsis, 0, f_rsi(V1 )), array.set(rsis, 10, f_rsi(V11)), array.set(rsis, 20, f_rsi(V21))
array.set(rsis, 1, f_rsi(V2 )), array.set(rsis, 11, f_rsi(V12)), array.set(rsis, 21, f_rsi(V22))
array.set(rsis, 2, f_rsi(V3 )), array.set(rsis, 12, f_rsi(V13)), array.set(rsis, 22, f_rsi(V23))
array.set(rsis, 3, f_rsi(V4 )), array.set(rsis, 13, f_rsi(V14)), array.set(rsis, 23, f_rsi(V24))
array.set(rsis, 4, f_rsi(V5 )), array.set(rsis, 14, f_rsi(V15)), array.set(rsis, 24, f_rsi(V25))
array.set(rsis, 5, f_rsi(V6 )), array.set(rsis, 15, f_rsi(V16)), array.set(rsis, 25, f_rsi(V26))
array.set(rsis, 6, f_rsi(V7 )), array.set(rsis, 16, f_rsi(V17)), array.set(rsis, 26, f_rsi(V27))
array.set(rsis, 7, f_rsi(V8 )), array.set(rsis, 17, f_rsi(V18)), array.set(rsis, 27, f_rsi(V28))
array.set(rsis, 8, f_rsi(V9 )), array.set(rsis, 18, f_rsi(V19)), array.set(rsis, 28, f_rsi(V29))
array.set(rsis, 9, f_rsi(V10)), array.set(rsis, 19, f_rsi(V20)), array.set(rsis, 29, f_rsi(V30))
// Function for setting the color (normal, highlighted/shadowed/gradient)
tp = hm1, mid = hm3, bt = hm2
tr = time < starttime
cr = time < chart.left_visible_bar_time
f_set_color(x) =>
sym = array.get(database, x)
if highlight
top_x = array.max(database, counthl)
bottom_x = array.min(database, counthl)
op = sym > top_x
up = sym < bottom_x
col = op or up ? array.get(cols, x) : nonhlcol
tf2 == 'Visible Range' ? (cr ? na : col) : tf2=='Timestamp' ? (tr ? na : col) : (new_period ? na : col)
else if hm
col = sym >= 0 ? color.from_gradient(sym, 0, array.max(database), mid, tp) : color.from_gradient(sym, array.min(database), 0, bt, mid)
tf2 == 'Visible Range' ? (cr ? na : col) : tf2=='Timestamp' ? (tr ? na : col) : (new_period ? na : col)
else
col = array.get(cols, x)
tf2 == 'Visible Range' ? (cr ? na : col) : tf2=='Timestamp' ? (tr ? na : col) : (new_period ? na : col)
// Function for conditional plotting
f_plot(V, C) =>
C ? (tf2 == 'Visible Range' ? (vr ? V : 0) : tf2=='Timestamp' ? (time>starttime ? V : 0) : (new_period ? 0 : V)) : na
// Plotting data
plot(f_plot(V1 , C1 ), color= f_set_color(0 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V2 , C2 ), color= f_set_color(1 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V3 , C3 ), color= f_set_color(2 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V4 , C4 ), color= f_set_color(3 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V5 , C5 ), color= f_set_color(4 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V6 , C6 ), color= f_set_color(5 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V7 , C7 ), color= f_set_color(6 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V8 , C8 ), color= f_set_color(7 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V9 , C9 ), color= f_set_color(8 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V10, C10), color= f_set_color(9 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
array.set(betas, 8, f_beta(V9 )), array.set(betas, 18, f_beta(V19)), array.set(betas, 28, f_beta(V29))
array.set(betas, 9, f_beta(V10)), array.set(betas, 19, f_beta(V20)), array.set(betas, 29, f_beta(V30))
// Calculating RSI and pushing the RSI values into an array
if show_rsi and showtable
array.set(rsis, 0, f_rsi(V1 )), array.set(rsis, 10, f_rsi(V11)), array.set(rsis, 20, f_rsi(V21))
array.set(rsis, 1, f_rsi(V2 )), array.set(rsis, 11, f_rsi(V12)), array.set(rsis, 21, f_rsi(V22))
array.set(rsis, 2, f_rsi(V3 )), array.set(rsis, 12, f_rsi(V13)), array.set(rsis, 22, f_rsi(V23))
array.set(rsis, 3, f_rsi(V4 )), array.set(rsis, 13, f_rsi(V14)), array.set(rsis, 23, f_rsi(V24))
array.set(rsis, 4, f_rsi(V5 )), array.set(rsis, 14, f_rsi(V15)), array.set(rsis, 24, f_rsi(V25))
array.set(rsis, 5, f_rsi(V6 )), array.set(rsis, 15, f_rsi(V16)), array.set(rsis, 25, f_rsi(V26))
array.set(rsis, 6, f_rsi(V7 )), array.set(rsis, 16, f_rsi(V17)), array.set(rsis, 26, f_rsi(V27))
array.set(rsis, 7, f_rsi(V8 )), array.set(rsis, 17, f_rsi(V18)), array.set(rsis, 27, f_rsi(V28))
array.set(rsis, 8, f_rsi(V9 )), array.set(rsis, 18, f_rsi(V19)), array.set(rsis, 28, f_rsi(V29))
array.set(rsis, 9, f_rsi(V10)), array.set(rsis, 19, f_rsi(V20)), array.set(rsis, 29, f_rsi(V30))
// Function for setting the color (normal, highlighted/shadowed/gradient)
tp = hm1, mid = hm3, bt = hm2
tr = time < starttime
cr = time < chart.left_visible_bar_time
f_set_color(x) =>
sym = array.get(database, x)
if highlight
top_x = array.max(database, counthl)
bottom_x = array.min(database, counthl)
op = sym > top_x
up = sym < bottom_x
col = op or up ? array.get(cols, x) : nonhlcol
tf2 == 'Visible Range' ? (cr ? na : col) : tf2=='Timestamp' ? (tr ? na : col) : (new_period ? na : col)
else if hm
col = sym >= 0 ? color.from_gradient(sym, 0, array.max(database), mid, tp) : color.from_gradient(sym, array.min(database), 0, bt, mid)
tf2 == 'Visible Range' ? (cr ? na : col) : tf2=='Timestamp' ? (tr ? na : col) : (new_period ? na : col)
else
col = array.get(cols, x)
tf2 == 'Visible Range' ? (cr ? na : col) : tf2=='Timestamp' ? (tr ? na : col) : (new_period ? na : col)
// Function for conditional plotting
f_plot(V, C) =>
C ? (tf2 == 'Visible Range' ? (vr ? V : 0) : tf2=='Timestamp' ? (time>starttime ? V : 0) : (new_period ? 0 : V)) : na
// Plotting data
plot(f_plot(V1 , C1 ), color= f_set_color(0 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V2 , C2 ), color= f_set_color(1 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V3 , C3 ), color= f_set_color(2 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V4 , C4 ), color= f_set_color(3 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V5 , C5 ), color= f_set_color(4 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V6 , C6 ), color= f_set_color(5 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V7 , C7 ), color= f_set_color(6 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V8 , C8 ), color= f_set_color(7 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V9 , C9 ), color= f_set_color(8 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
plot(f_plot(V10, C10), color= f_set_color(9 ), title='', style = switchstyle(disp), linewidth = linewidth, editable = false)
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f_push_data(V1, t1 , sym1col , C1 , 0 ), f_push_data(V11, t11 , sym11col, C11, 10), f_push_data(V21, t21 , sym21col, C21, 20)
f_push_data(V2, t2 , sym2col , C2 , 1 ), f_push_data(V12, t12 , sym12col, C12, 11), f_push_data(V22, t22 , sym22col, C22, 21)
f_push_data(V3, t3 , sym3col , C3 , 2 ), f_push_data(V13, t13 , sym13col, C13, 12), f_push_data(V23, t23 , sym23col, C23, 22)
f_push_data(V4, t4 , sym4col , C4 , 3 ), f_push_data(V14, t14 , sym14col, C14, 13), f_push_data(V24, t24 , sym24col, C24, 23)
f_push_data(V5, t5 , sym5col , C5 , 4 ), f_push_data(V15, t15 , sym15col, C15, 14), f_push_data(V25, t25 , sym25col, C25, 24)
f_push_data(V6, t6 , sym6col , C6 , 5 ), f_push_data(V16, t16 , sym16col, C16, 15), f_push_data(V26, t26 , sym26col, C26, 25)
f_push_data(V7, t7 , sym7col , C7 , 6 ), f_push_data(V17, t17 , sym17col, C17, 16), f_push_data(V27, t27 , sym27col, C27, 26)
f_push_data(V8, t8 , sym8col , C8 , 7 ), f_push_data(V18, t18 , sym18col, C18, 17), f_push_data(V28, t28 , sym28col, C28, 27)
f_push_data(V9, t9 , sym9col , C9 , 8 ), f_push_data(V19, t19 , sym19col, C19, 18), f_push_data(V29, t29 , sym29col, C29, 28)
f_push_data(V10, t10 , sym10col, C10, 9 ), f_push_data(V20, t20 , sym20col, C20, 19), f_push_data(V30, t30 , sym30col, C30, 29)
// Calculating group mean
mean = meantype=='First Ticker' ? V1 : array.avg(database)
// Function for calculating correlation
f_corr(v) =>
m = ta.change(mean)
val = ta.change(v)
math.round(ta.correlation(val, m, clen), 2)
// Function for calculating beta
f_beta(v) =>
m_std = ta.stdev(ta.change(mean), clen)
val_std = ta.stdev(ta.change(v), clen)
corr = f_corr(v)
beta = corr * (val_std / m_std)
math.round(beta, 2)
// Function of calculating RSI
f_rsi(v) =>
rsi = ta.rsi(v, rsilen)
math.round(rsi, 0)
// Calculating correlation and pushing the correlation values into an array
if show_corr and showtable
array.set(corrs, 0, f_corr(V1 )), array.set(corrs, 10, f_corr(V11)), array.set(corrs, 20, f_corr(V21))
array.set(corrs, 1, f_corr(V2 )), array.set(corrs, 11, f_corr(V12)), array.set(corrs, 21, f_corr(V22))
array.set(corrs, 2, f_corr(V3 )), array.set(corrs, 12, f_corr(V13)), array.set(corrs, 22, f_corr(V23))
array.set(corrs, 3, f_corr(V4 )), array.set(corrs, 13, f_corr(V14)), array.set(corrs, 23, f_corr(V24))
array.set(corrs, 4, f_corr(V5 )), array.set(corrs, 14, f_corr(V15)), array.set(corrs, 24, f_corr(V25))
array.set(corrs, 5, f_corr(V6 )), array.set(corrs, 15, f_corr(V16)), array.set(corrs, 25, f_corr(V26))
array.set(corrs, 6, f_corr(V7 )), array.set(corrs, 16, f_corr(V17)), array.set(corrs, 26, f_corr(V27))
array.set(corrs, 7, f_corr(V8 )), array.set(corrs, 17, f_corr(V18)), array.set(corrs, 27, f_corr(V28))
array.set(corrs, 8, f_corr(V9 )), array.set(corrs, 18, f_corr(V19)), array.set(corrs, 28, f_corr(V29))
array.set(corrs, 9, f_corr(V10)), array.set(corrs, 19, f_corr(V20)), array.set(corrs, 29, f_corr(V30))
// Calculating beta and pushing the beta values into an array
if show_beta and showtable
array.set(betas, 0, f_beta(V1 )), array.set(betas, 10, f_beta(V11)), array.set(betas, 20, f_beta(V21))
array.set(betas, 1, f_beta(V2 )), array.set(betas, 11, f_beta(V12)), array.set(betas, 21, f_beta(V22))
array.set(betas, 2, f_beta(V3 )), array.set(betas, 12, f_beta(V13)), array.set(betas, 22, f_beta(V23))
array.set(betas, 3, f_beta(V4 )), array.set(betas, 13, f_beta(V14)), array.set(betas, 23, f_beta(V24))
array.set(betas, 4, f_beta(V5 )), array.set(betas, 14, f_beta(V15)), array.set(betas, 24, f_beta(V25))
array.set(betas, 5, f_beta(V6 )), array.set(betas, 15, f_beta(V16)), array.set(betas, 25, f_beta(V26))
array.set(betas, 6, f_beta(V7 )), array.set(betas, 16, f_beta(V17)), array.set(betas, 26, f_beta(V27))
f_push_data(V2, t2 , sym2col , C2 , 1 ), f_push_data(V12, t12 , sym12col, C12, 11), f_push_data(V22, t22 , sym22col, C22, 21)
f_push_data(V3, t3 , sym3col , C3 , 2 ), f_push_data(V13, t13 , sym13col, C13, 12), f_push_data(V23, t23 , sym23col, C23, 22)
f_push_data(V4, t4 , sym4col , C4 , 3 ), f_push_data(V14, t14 , sym14col, C14, 13), f_push_data(V24, t24 , sym24col, C24, 23)
f_push_data(V5, t5 , sym5col , C5 , 4 ), f_push_data(V15, t15 , sym15col, C15, 14), f_push_data(V25, t25 , sym25col, C25, 24)
f_push_data(V6, t6 , sym6col , C6 , 5 ), f_push_data(V16, t16 , sym16col, C16, 15), f_push_data(V26, t26 , sym26col, C26, 25)
f_push_data(V7, t7 , sym7col , C7 , 6 ), f_push_data(V17, t17 , sym17col, C17, 16), f_push_data(V27, t27 , sym27col, C27, 26)
f_push_data(V8, t8 , sym8col , C8 , 7 ), f_push_data(V18, t18 , sym18col, C18, 17), f_push_data(V28, t28 , sym28col, C28, 27)
f_push_data(V9, t9 , sym9col , C9 , 8 ), f_push_data(V19, t19 , sym19col, C19, 18), f_push_data(V29, t29 , sym29col, C29, 28)
f_push_data(V10, t10 , sym10col, C10, 9 ), f_push_data(V20, t20 , sym20col, C20, 19), f_push_data(V30, t30 , sym30col, C30, 29)
// Calculating group mean
mean = meantype=='First Ticker' ? V1 : array.avg(database)
// Function for calculating correlation
f_corr(v) =>
m = ta.change(mean)
val = ta.change(v)
math.round(ta.correlation(val, m, clen), 2)
// Function for calculating beta
f_beta(v) =>
m_std = ta.stdev(ta.change(mean), clen)
val_std = ta.stdev(ta.change(v), clen)
corr = f_corr(v)
beta = corr * (val_std / m_std)
math.round(beta, 2)
// Function of calculating RSI
f_rsi(v) =>
rsi = ta.rsi(v, rsilen)
math.round(rsi, 0)
// Calculating correlation and pushing the correlation values into an array
if show_corr and showtable
array.set(corrs, 0, f_corr(V1 )), array.set(corrs, 10, f_corr(V11)), array.set(corrs, 20, f_corr(V21))
array.set(corrs, 1, f_corr(V2 )), array.set(corrs, 11, f_corr(V12)), array.set(corrs, 21, f_corr(V22))
array.set(corrs, 2, f_corr(V3 )), array.set(corrs, 12, f_corr(V13)), array.set(corrs, 22, f_corr(V23))
array.set(corrs, 3, f_corr(V4 )), array.set(corrs, 13, f_corr(V14)), array.set(corrs, 23, f_corr(V24))
array.set(corrs, 4, f_corr(V5 )), array.set(corrs, 14, f_corr(V15)), array.set(corrs, 24, f_corr(V25))
array.set(corrs, 5, f_corr(V6 )), array.set(corrs, 15, f_corr(V16)), array.set(corrs, 25, f_corr(V26))
array.set(corrs, 6, f_corr(V7 )), array.set(corrs, 16, f_corr(V17)), array.set(corrs, 26, f_corr(V27))
array.set(corrs, 7, f_corr(V8 )), array.set(corrs, 17, f_corr(V18)), array.set(corrs, 27, f_corr(V28))
array.set(corrs, 8, f_corr(V9 )), array.set(corrs, 18, f_corr(V19)), array.set(corrs, 28, f_corr(V29))
array.set(corrs, 9, f_corr(V10)), array.set(corrs, 19, f_corr(V20)), array.set(corrs, 29, f_corr(V30))
// Calculating beta and pushing the beta values into an array
if show_beta and showtable
array.set(betas, 0, f_beta(V1 )), array.set(betas, 10, f_beta(V11)), array.set(betas, 20, f_beta(V21))
array.set(betas, 1, f_beta(V2 )), array.set(betas, 11, f_beta(V12)), array.set(betas, 21, f_beta(V22))
array.set(betas, 2, f_beta(V3 )), array.set(betas, 12, f_beta(V13)), array.set(betas, 22, f_beta(V23))
array.set(betas, 3, f_beta(V4 )), array.set(betas, 13, f_beta(V14)), array.set(betas, 23, f_beta(V24))
array.set(betas, 4, f_beta(V5 )), array.set(betas, 14, f_beta(V15)), array.set(betas, 24, f_beta(V25))
array.set(betas, 5, f_beta(V6 )), array.set(betas, 15, f_beta(V16)), array.set(betas, 25, f_beta(V26))
array.set(betas, 6, f_beta(V7 )), array.set(betas, 16, f_beta(V17)), array.set(betas, 26, f_beta(V27))
Tradingview Membership
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// Function for switching text size
switchsize(x) =>
switch x
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Auto' => size.auto
// Function for switching table position
switchpos(x) =>
switch x
'Middle Right' => position.middle_right
'Top Right' => position.top_right
'Bottom Right' => position.bottom_right
'Middle Left' => position.middle_left
'Top Left' => position.top_left
'Bottom Left' => position.bottom_left
// Modifying ticker names (so they can be used without their prefix eg. BINANCE:BTCUSDT.P -> BTCUSDT.P)
t1 = array.get(str.split(S1, ":"), 1), t11 = array.get(str.split(S11, ":"), 1), t21 = array.get(str.split(S21, ":"), 1)
t2 = array.get(str.split(S2, ":"), 1), t12 = array.get(str.split(S12, ":"), 1), t22 = array.get(str.split(S22, ":"), 1)
t3 = array.get(str.split(S3, ":"), 1), t13 = array.get(str.split(S13, ":"), 1), t23 = array.get(str.split(S23, ":"), 1)
t4 = array.get(str.split(S4, ":"), 1), t14 = array.get(str.split(S14, ":"), 1), t24 = array.get(str.split(S24, ":"), 1)
t5 = array.get(str.split(S5, ":"), 1), t15 = array.get(str.split(S15, ":"), 1), t25 = array.get(str.split(S25, ":"), 1)
t6 = array.get(str.split(S6, ":"), 1), t16 = array.get(str.split(S16, ":"), 1), t26 = array.get(str.split(S26, ":"), 1)
t7 = array.get(str.split(S7, ":"), 1), t17 = array.get(str.split(S17, ":"), 1), t27 = array.get(str.split(S27, ":"), 1)
t8 = array.get(str.split(S8, ":"), 1), t18 = array.get(str.split(S18, ":"), 1), t28 = array.get(str.split(S28, ":"), 1)
t9 = array.get(str.split(S9, ":"), 1), t19 = array.get(str.split(S19, ":"), 1), t29 = array.get(str.split(S29, ":"), 1)
t10 = array.get(str.split(S10, ":"), 1), t20 = array.get(str.split(S20, ":"), 1), t30 = array.get(str.split(S30, ":"), 1)
// Determining the periods
new_period = ta.change(time(f_switch(tf2)))
count_period = ta.barssince(new_period)
startCondition = tf2 == "Visible Range" ? time == chart.left_visible_bar_time : tf2=='Timestamp' ? time==starttime : new_period
vr = time > chart.left_visible_bar_time
// Function for requesting price, obv and open interest data
cumulativeChange(a) =>
symbol = data_type == 'Open Interest' ? a + '_OI' : a
src = data_type=='OBV' ? ta.obv : close
closePrice = request.security(symbol, tf, smooth ? ta.sma(src, len) : src)
startPrice = ta.valuewhen(startCondition, closePrice[1], 0)
change = (closePrice - startPrice) / startPrice * 100
// Calculating % change values for each symbol
V1 = cumulativeChange(S1) , V11 = cumulativeChange(S11), V21 = cumulativeChange(S21)
V2 = cumulativeChange(S2) , V12 = cumulativeChange(S12), V22 = cumulativeChange(S22)
V3 = cumulativeChange(S3) , V13 = cumulativeChange(S13), V23 = cumulativeChange(S23)
V4 = cumulativeChange(S4) , V14 = cumulativeChange(S14), V24 = cumulativeChange(S24)
V5 = cumulativeChange(S5) , V15 = cumulativeChange(S15), V25 = cumulativeChange(S25)
V6 = cumulativeChange(S6) , V16 = cumulativeChange(S16), V26 = cumulativeChange(S26)
V7 = cumulativeChange(S7) , V17 = cumulativeChange(S17), V27 = cumulativeChange(S27)
V8 = cumulativeChange(S8) , V18 = cumulativeChange(S18), V28 = cumulativeChange(S28)
V9 = cumulativeChange(S9) , V19 = cumulativeChange(S19), V29 = cumulativeChange(S29)
V10 = cumulativeChange(S10), V20 = cumulativeChange(S20), V30 = cumulativeChange(S30)
// Creating arrays
database = array.new_float (30, na)
names = array.new_string (30, na)
cols = array.new_color (30, na)
corrs = array.new_float (30, na)
conds = array.new_bool (30, false)
rsis = array.new_float (30, na)
betas = array.new_float (30, na)
// Pushing values, names, colors and conditions into arrays
f_push_data(plot, name, col, cond, index) =>
array.set(conds, index, cond)
array.set(database, index, plot)
array.set(names, index, name)
array.set(cols, index, col)
switchsize(x) =>
switch x
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Auto' => size.auto
// Function for switching table position
switchpos(x) =>
switch x
'Middle Right' => position.middle_right
'Top Right' => position.top_right
'Bottom Right' => position.bottom_right
'Middle Left' => position.middle_left
'Top Left' => position.top_left
'Bottom Left' => position.bottom_left
// Modifying ticker names (so they can be used without their prefix eg. BINANCE:BTCUSDT.P -> BTCUSDT.P)
t1 = array.get(str.split(S1, ":"), 1), t11 = array.get(str.split(S11, ":"), 1), t21 = array.get(str.split(S21, ":"), 1)
t2 = array.get(str.split(S2, ":"), 1), t12 = array.get(str.split(S12, ":"), 1), t22 = array.get(str.split(S22, ":"), 1)
t3 = array.get(str.split(S3, ":"), 1), t13 = array.get(str.split(S13, ":"), 1), t23 = array.get(str.split(S23, ":"), 1)
t4 = array.get(str.split(S4, ":"), 1), t14 = array.get(str.split(S14, ":"), 1), t24 = array.get(str.split(S24, ":"), 1)
t5 = array.get(str.split(S5, ":"), 1), t15 = array.get(str.split(S15, ":"), 1), t25 = array.get(str.split(S25, ":"), 1)
t6 = array.get(str.split(S6, ":"), 1), t16 = array.get(str.split(S16, ":"), 1), t26 = array.get(str.split(S26, ":"), 1)
t7 = array.get(str.split(S7, ":"), 1), t17 = array.get(str.split(S17, ":"), 1), t27 = array.get(str.split(S27, ":"), 1)
t8 = array.get(str.split(S8, ":"), 1), t18 = array.get(str.split(S18, ":"), 1), t28 = array.get(str.split(S28, ":"), 1)
t9 = array.get(str.split(S9, ":"), 1), t19 = array.get(str.split(S19, ":"), 1), t29 = array.get(str.split(S29, ":"), 1)
t10 = array.get(str.split(S10, ":"), 1), t20 = array.get(str.split(S20, ":"), 1), t30 = array.get(str.split(S30, ":"), 1)
// Determining the periods
new_period = ta.change(time(f_switch(tf2)))
count_period = ta.barssince(new_period)
startCondition = tf2 == "Visible Range" ? time == chart.left_visible_bar_time : tf2=='Timestamp' ? time==starttime : new_period
vr = time > chart.left_visible_bar_time
// Function for requesting price, obv and open interest data
cumulativeChange(a) =>
symbol = data_type == 'Open Interest' ? a + '_OI' : a
src = data_type=='OBV' ? ta.obv : close
closePrice = request.security(symbol, tf, smooth ? ta.sma(src, len) : src)
startPrice = ta.valuewhen(startCondition, closePrice[1], 0)
change = (closePrice - startPrice) / startPrice * 100
// Calculating % change values for each symbol
V1 = cumulativeChange(S1) , V11 = cumulativeChange(S11), V21 = cumulativeChange(S21)
V2 = cumulativeChange(S2) , V12 = cumulativeChange(S12), V22 = cumulativeChange(S22)
V3 = cumulativeChange(S3) , V13 = cumulativeChange(S13), V23 = cumulativeChange(S23)
V4 = cumulativeChange(S4) , V14 = cumulativeChange(S14), V24 = cumulativeChange(S24)
V5 = cumulativeChange(S5) , V15 = cumulativeChange(S15), V25 = cumulativeChange(S25)
V6 = cumulativeChange(S6) , V16 = cumulativeChange(S16), V26 = cumulativeChange(S26)
V7 = cumulativeChange(S7) , V17 = cumulativeChange(S17), V27 = cumulativeChange(S27)
V8 = cumulativeChange(S8) , V18 = cumulativeChange(S18), V28 = cumulativeChange(S28)
V9 = cumulativeChange(S9) , V19 = cumulativeChange(S19), V29 = cumulativeChange(S29)
V10 = cumulativeChange(S10), V20 = cumulativeChange(S20), V30 = cumulativeChange(S30)
// Creating arrays
database = array.new_float (30, na)
names = array.new_string (30, na)
cols = array.new_color (30, na)
corrs = array.new_float (30, na)
conds = array.new_bool (30, false)
rsis = array.new_float (30, na)
betas = array.new_float (30, na)
// Pushing values, names, colors and conditions into arrays
f_push_data(plot, name, col, cond, index) =>
array.set(conds, index, cond)
array.set(database, index, plot)
array.set(names, index, name)
array.set(cols, index, col)
Tradingview Membership
13 May, 15:24
S10 = gn == 'Group 1' ? sym10 : gn == 'Group 2' ? sym10_ : sym10, C10 = gn == 'Group 1' ? showsym10 : gn == 'Group 2' ? showsym10_ : showsym10
S11 = gn == 'Group 1' ? sym11 : gn == 'Group 2' ? sym11_ : sym11, C11 = gn == 'Group 1' ? showsym11 : gn == 'Group 2' ? showsym11_ : showsym11
S12 = gn == 'Group 1' ? sym12 : gn == 'Group 2' ? sym12_ : sym12, C12 = gn == 'Group 1' ? showsym12 : gn == 'Group 2' ? showsym12_ : showsym12
S13 = gn == 'Group 1' ? sym13 : gn == 'Group 2' ? sym13_ : sym13, C13 = gn == 'Group 1' ? showsym13 : gn == 'Group 2' ? showsym13_ : showsym13
S14 = gn == 'Group 1' ? sym14 : gn == 'Group 2' ? sym14_ : sym14, C14 = gn == 'Group 1' ? showsym14 : gn == 'Group 2' ? showsym14_ : showsym14
S15 = gn == 'Group 1' ? sym15 : gn == 'Group 2' ? sym15_ : sym15, C15 = gn == 'Group 1' ? showsym15 : gn == 'Group 2' ? showsym15_ : showsym15
S16 = gn == 'Group 1' ? sym16 : gn == 'Group 2' ? sym16_ : sym16, C16 = gn == 'Group 1' ? showsym16 : gn == 'Group 2' ? showsym16_ : showsym16
S17 = gn == 'Group 1' ? sym17 : gn == 'Group 2' ? sym17_ : sym17, C17 = gn == 'Group 1' ? showsym17 : gn == 'Group 2' ? showsym17_ : showsym17
S18 = gn == 'Group 1' ? sym18 : gn == 'Group 2' ? sym18_ : sym18, C18 = gn == 'Group 1' ? showsym18 : gn == 'Group 2' ? showsym18_ : showsym18
S19 = gn == 'Group 1' ? sym19 : gn == 'Group 2' ? sym19_ : sym19, C19 = gn == 'Group 1' ? showsym19 : gn == 'Group 2' ? showsym19_ : showsym19
S20 = gn == 'Group 1' ? sym20 : gn == 'Group 2' ? sym20_ : sym20, C20 = gn == 'Group 1' ? showsym20 : gn == 'Group 2' ? showsym20_ : showsym20
S21 = gn == 'Group 1' ? sym21 : gn == 'Group 2' ? sym21_ : sym21, C21 = gn == 'Group 1' ? showsym21 : gn == 'Group 2' ? showsym21_ : showsym21
S22 = gn == 'Group 1' ? sym22 : gn == 'Group 2' ? sym22_ : sym22, C22 = gn == 'Group 1' ? showsym22 : gn == 'Group 2' ? showsym22_ : showsym22
S23 = gn == 'Group 1' ? sym23 : gn == 'Group 2' ? sym23_ : sym23, C23 = gn == 'Group 1' ? showsym23 : gn == 'Group 2' ? showsym23_ : showsym23
S24 = gn == 'Group 1' ? sym24 : gn == 'Group 2' ? sym24_ : sym24, C24 = gn == 'Group 1' ? showsym24 : gn == 'Group 2' ? showsym24_ : showsym24
S25 = gn == 'Group 1' ? sym25 : gn == 'Group 2' ? sym25_ : sym25, C25 = gn == 'Group 1' ? showsym25 : gn == 'Group 2' ? showsym25_ : showsym25
S26 = gn == 'Group 1' ? sym26 : gn == 'Group 2' ? sym26_ : sym26, C26 = gn == 'Group 1' ? showsym26 : gn == 'Group 2' ? showsym26_ : showsym26
S27 = gn == 'Group 1' ? sym27 : gn == 'Group 2' ? sym27_ : sym27, C27 = gn == 'Group 1' ? showsym27 : gn == 'Group 2' ? showsym27_ : showsym27
S28 = gn == 'Group 1' ? sym28 : gn == 'Group 2' ? sym28_ : sym28, C28 = gn == 'Group 1' ? showsym28 : gn == 'Group 2' ? showsym28_ : showsym28
S29 = gn == 'Group 1' ? sym29 : gn == 'Group 2' ? sym29_ : sym29, C29 = gn == 'Group 1' ? showsym29 : gn == 'Group 2' ? showsym29_ : showsym29
S30 = gn == 'Group 1' ? sym30 : gn == 'Group 2' ? sym30_ : sym30, C30 = gn == 'Group 1' ? showsym30 : gn == 'Group 2' ? showsym30_ : showsym30
// Function for converting user input into time period
f_switch(x) =>
switch x
'5 MIN' => '5'
'15 MIN' => '15'
'30 MIN' => '30'
'45 MIN' => '45'
'1 HOUR' => '60'
'2 HOURS' => '120'
'4 HOURS' => '240'
'12 HOURS' => '720'
'1 DAY' => '1D'
'2 DAYS' => '2D'
'3 DAYS' => '3D'
'1 WEEK' => 'W'
'2 WEEKS' => '2W'
'1 MONTH' => 'M'
'2 MONTHS' => '2M'
'3 MONTHS' => '3M'
'6 MONTHS' => '6M'
'1 YEAR' => '12M'
// Function for switching plot style
switchstyle(x) =>
switch x
'Lines' => plot.style_linebr
'Circles' => plot.style_circles
'Columns' => plot.style_columns
'Area' => plot.style_area
S11 = gn == 'Group 1' ? sym11 : gn == 'Group 2' ? sym11_ : sym11, C11 = gn == 'Group 1' ? showsym11 : gn == 'Group 2' ? showsym11_ : showsym11
S12 = gn == 'Group 1' ? sym12 : gn == 'Group 2' ? sym12_ : sym12, C12 = gn == 'Group 1' ? showsym12 : gn == 'Group 2' ? showsym12_ : showsym12
S13 = gn == 'Group 1' ? sym13 : gn == 'Group 2' ? sym13_ : sym13, C13 = gn == 'Group 1' ? showsym13 : gn == 'Group 2' ? showsym13_ : showsym13
S14 = gn == 'Group 1' ? sym14 : gn == 'Group 2' ? sym14_ : sym14, C14 = gn == 'Group 1' ? showsym14 : gn == 'Group 2' ? showsym14_ : showsym14
S15 = gn == 'Group 1' ? sym15 : gn == 'Group 2' ? sym15_ : sym15, C15 = gn == 'Group 1' ? showsym15 : gn == 'Group 2' ? showsym15_ : showsym15
S16 = gn == 'Group 1' ? sym16 : gn == 'Group 2' ? sym16_ : sym16, C16 = gn == 'Group 1' ? showsym16 : gn == 'Group 2' ? showsym16_ : showsym16
S17 = gn == 'Group 1' ? sym17 : gn == 'Group 2' ? sym17_ : sym17, C17 = gn == 'Group 1' ? showsym17 : gn == 'Group 2' ? showsym17_ : showsym17
S18 = gn == 'Group 1' ? sym18 : gn == 'Group 2' ? sym18_ : sym18, C18 = gn == 'Group 1' ? showsym18 : gn == 'Group 2' ? showsym18_ : showsym18
S19 = gn == 'Group 1' ? sym19 : gn == 'Group 2' ? sym19_ : sym19, C19 = gn == 'Group 1' ? showsym19 : gn == 'Group 2' ? showsym19_ : showsym19
S20 = gn == 'Group 1' ? sym20 : gn == 'Group 2' ? sym20_ : sym20, C20 = gn == 'Group 1' ? showsym20 : gn == 'Group 2' ? showsym20_ : showsym20
S21 = gn == 'Group 1' ? sym21 : gn == 'Group 2' ? sym21_ : sym21, C21 = gn == 'Group 1' ? showsym21 : gn == 'Group 2' ? showsym21_ : showsym21
S22 = gn == 'Group 1' ? sym22 : gn == 'Group 2' ? sym22_ : sym22, C22 = gn == 'Group 1' ? showsym22 : gn == 'Group 2' ? showsym22_ : showsym22
S23 = gn == 'Group 1' ? sym23 : gn == 'Group 2' ? sym23_ : sym23, C23 = gn == 'Group 1' ? showsym23 : gn == 'Group 2' ? showsym23_ : showsym23
S24 = gn == 'Group 1' ? sym24 : gn == 'Group 2' ? sym24_ : sym24, C24 = gn == 'Group 1' ? showsym24 : gn == 'Group 2' ? showsym24_ : showsym24
S25 = gn == 'Group 1' ? sym25 : gn == 'Group 2' ? sym25_ : sym25, C25 = gn == 'Group 1' ? showsym25 : gn == 'Group 2' ? showsym25_ : showsym25
S26 = gn == 'Group 1' ? sym26 : gn == 'Group 2' ? sym26_ : sym26, C26 = gn == 'Group 1' ? showsym26 : gn == 'Group 2' ? showsym26_ : showsym26
S27 = gn == 'Group 1' ? sym27 : gn == 'Group 2' ? sym27_ : sym27, C27 = gn == 'Group 1' ? showsym27 : gn == 'Group 2' ? showsym27_ : showsym27
S28 = gn == 'Group 1' ? sym28 : gn == 'Group 2' ? sym28_ : sym28, C28 = gn == 'Group 1' ? showsym28 : gn == 'Group 2' ? showsym28_ : showsym28
S29 = gn == 'Group 1' ? sym29 : gn == 'Group 2' ? sym29_ : sym29, C29 = gn == 'Group 1' ? showsym29 : gn == 'Group 2' ? showsym29_ : showsym29
S30 = gn == 'Group 1' ? sym30 : gn == 'Group 2' ? sym30_ : sym30, C30 = gn == 'Group 1' ? showsym30 : gn == 'Group 2' ? showsym30_ : showsym30
// Function for converting user input into time period
f_switch(x) =>
switch x
'5 MIN' => '5'
'15 MIN' => '15'
'30 MIN' => '30'
'45 MIN' => '45'
'1 HOUR' => '60'
'2 HOURS' => '120'
'4 HOURS' => '240'
'12 HOURS' => '720'
'1 DAY' => '1D'
'2 DAYS' => '2D'
'3 DAYS' => '3D'
'1 WEEK' => 'W'
'2 WEEKS' => '2W'
'1 MONTH' => 'M'
'2 MONTHS' => '2M'
'3 MONTHS' => '3M'
'6 MONTHS' => '6M'
'1 YEAR' => '12M'
// Function for switching plot style
switchstyle(x) =>
switch x
'Lines' => plot.style_linebr
'Circles' => plot.style_circles
'Columns' => plot.style_columns
'Area' => plot.style_area
Tradingview Membership
13 May, 15:24
sym18col = colpal=='Palette 1' ? color.rgb(244, 109, 67) : colpal=='Palette 2' ? #17becf : colpal=='Palette 3' ? #be6e8d : colpal=='Palette 4' ? #113282 : colpal=='Palette 5' ? #65a3cc : #dbdb8d
sym19col = colpal=='Palette 1' ? color.rgb(253, 174, 97) : colpal=='Palette 2' ? #9edae5 : colpal=='Palette 3' ? #f7dde0 : colpal=='Palette 4' ? #0a2a7c : colpal=='Palette 5' ? #658ecc : #17becf
sym20col = colpal=='Palette 1' ? color.rgb(171, 221, 164) : colpal=='Palette 2' ? #9e4a55 : colpal=='Palette 3' ? #d4d9dd : colpal=='Palette 4' ? #5981b1 : colpal=='Palette 5' ? #657acc : #9edae5
sym21col = colpal=='Palette 1' ? color.rgb(128, 177, 211) : colpal=='Palette 2' ? #d9afa3 : colpal=='Palette 3' ? #70878e : colpal=='Palette 4' ? #6a89b5 : colpal=='Palette 5' ? #6565cc : #ff9896
sym22col = colpal=='Palette 1' ? color.rgb(253, 180, 98) : colpal=='Palette 2' ? #42675a : colpal=='Palette 3' ? #99d2bc : colpal=='Palette 4' ? #7a91ba : colpal=='Palette 5' ? #7a65cc : #c5b0d5
sym23col = colpal=='Palette 1' ? color.rgb(179, 222, 105) : colpal=='Palette 2' ? #95aba7 : colpal=='Palette 3' ? #aa688b : colpal=='Palette 4' ? #8a99bf : colpal=='Palette 5' ? #8e65cc : #8c564b
sym24col = colpal=='Palette 1' ? color.rgb(252, 205, 229) : colpal=='Palette 2' ? #7d5ba6 : colpal=='Palette 3' ? #fad2e3 : colpal=='Palette 4' ? #9aa1c4 : colpal=='Palette 5' ? #a365cc : #c49c94
sym25col = colpal=='Palette 1' ? color.rgb(217, 217, 217) : colpal=='Palette 2' ? #b9a8d3 : colpal=='Palette 3' ? #ccd3d9 : colpal=='Palette 4' ? #aab9c9 : colpal=='Palette 5' ? #b765cc : #e377c2
sym26col = colpal=='Palette 1' ? color.rgb(188, 128, 189) : colpal=='Palette 2' ? #407088 : colpal=='Palette 3' ? #7c938a : colpal=='Palette 4' ? #bac1ce : colpal=='Palette 5' ? #cc65cc : #f7b6d2
sym27col = colpal=='Palette 1' ? color.rgb(204, 235, 197) : colpal=='Palette 2' ? #8aacc8 : colpal=='Palette 3' ? #a0a2e4 : colpal=='Palette 4' ? #cac9d3 : colpal=='Palette 5' ? #cc65b7 : #7f7f7f
sym28col = colpal=='Palette 1' ? color.rgb(222, 203, 228) : colpal=='Palette 2' ? #b15928 : colpal=='Palette 3' ? #966398 : colpal=='Palette 4' ? #dad1d8 : colpal=='Palette 5' ? #cc65a3 : #c7c7c7
sym29col = colpal=='Palette 1' ? color.rgb(254, 217, 166) : colpal=='Palette 2' ? #ffab70 : colpal=='Palette 3' ? #fbe7ec : colpal=='Palette 4' ? #e9d9dd : colpal=='Palette 5' ? #cc658e : #bcbd22
sym30col = colpal=='Palette 1' ? color.rgb(255, 237, 111) : colpal=='Palette 2' ? #e08e45 : colpal=='Palette 3' ? #e3ecf0 : colpal=='Palette 4' ? #f9e1e2 : colpal=='Palette 5' ? #cc657a : #dbdb8d
// Assigning symbols based on the selected group
S1 = gn == 'Group 1' ? sym1 : gn == 'Group 2' ? sym1_ : sym1 , C1 = gn == 'Group 1' ? showsym1 : gn == 'Group 2' ? showsym1_ : showsym1
S2 = gn == 'Group 1' ? sym2 : gn == 'Group 2' ? sym2_ : sym2 , C2 = gn == 'Group 1' ? showsym2 : gn == 'Group 2' ? showsym2_ : showsym2
S3 = gn == 'Group 1' ? sym3 : gn == 'Group 2' ? sym3_ : sym3 , C3 = gn == 'Group 1' ? showsym3 : gn == 'Group 2' ? showsym3_ : showsym3
S4 = gn == 'Group 1' ? sym4 : gn == 'Group 2' ? sym4_ : sym4 , C4 = gn == 'Group 1' ? showsym4 : gn == 'Group 2' ? showsym4_ : showsym4
S5 = gn == 'Group 1' ? sym5 : gn == 'Group 2' ? sym5_ : sym5 , C5 = gn == 'Group 1' ? showsym5 : gn == 'Group 2' ? showsym5_ : showsym5
S6 = gn == 'Group 1' ? sym6 : gn == 'Group 2' ? sym6_ : sym6 , C6 = gn == 'Group 1' ? showsym6 : gn == 'Group 2' ? showsym6_ : showsym6
S7 = gn == 'Group 1' ? sym7 : gn == 'Group 2' ? sym7_ : sym7 , C7 = gn == 'Group 1' ? showsym7 : gn == 'Group 2' ? showsym7_ : showsym7
S8 = gn == 'Group 1' ? sym8 : gn == 'Group 2' ? sym8_ : sym8 , C8 = gn == 'Group 1' ? showsym8 : gn == 'Group 2' ? showsym8_ : showsym8
S9 = gn == 'Group 1' ? sym9 : gn == 'Group 2' ? sym9_ : sym9 , C9 = gn == 'Group 1' ? showsym9 : gn == 'Group 2' ? showsym9_ : showsym9
sym19col = colpal=='Palette 1' ? color.rgb(253, 174, 97) : colpal=='Palette 2' ? #9edae5 : colpal=='Palette 3' ? #f7dde0 : colpal=='Palette 4' ? #0a2a7c : colpal=='Palette 5' ? #658ecc : #17becf
sym20col = colpal=='Palette 1' ? color.rgb(171, 221, 164) : colpal=='Palette 2' ? #9e4a55 : colpal=='Palette 3' ? #d4d9dd : colpal=='Palette 4' ? #5981b1 : colpal=='Palette 5' ? #657acc : #9edae5
sym21col = colpal=='Palette 1' ? color.rgb(128, 177, 211) : colpal=='Palette 2' ? #d9afa3 : colpal=='Palette 3' ? #70878e : colpal=='Palette 4' ? #6a89b5 : colpal=='Palette 5' ? #6565cc : #ff9896
sym22col = colpal=='Palette 1' ? color.rgb(253, 180, 98) : colpal=='Palette 2' ? #42675a : colpal=='Palette 3' ? #99d2bc : colpal=='Palette 4' ? #7a91ba : colpal=='Palette 5' ? #7a65cc : #c5b0d5
sym23col = colpal=='Palette 1' ? color.rgb(179, 222, 105) : colpal=='Palette 2' ? #95aba7 : colpal=='Palette 3' ? #aa688b : colpal=='Palette 4' ? #8a99bf : colpal=='Palette 5' ? #8e65cc : #8c564b
sym24col = colpal=='Palette 1' ? color.rgb(252, 205, 229) : colpal=='Palette 2' ? #7d5ba6 : colpal=='Palette 3' ? #fad2e3 : colpal=='Palette 4' ? #9aa1c4 : colpal=='Palette 5' ? #a365cc : #c49c94
sym25col = colpal=='Palette 1' ? color.rgb(217, 217, 217) : colpal=='Palette 2' ? #b9a8d3 : colpal=='Palette 3' ? #ccd3d9 : colpal=='Palette 4' ? #aab9c9 : colpal=='Palette 5' ? #b765cc : #e377c2
sym26col = colpal=='Palette 1' ? color.rgb(188, 128, 189) : colpal=='Palette 2' ? #407088 : colpal=='Palette 3' ? #7c938a : colpal=='Palette 4' ? #bac1ce : colpal=='Palette 5' ? #cc65cc : #f7b6d2
sym27col = colpal=='Palette 1' ? color.rgb(204, 235, 197) : colpal=='Palette 2' ? #8aacc8 : colpal=='Palette 3' ? #a0a2e4 : colpal=='Palette 4' ? #cac9d3 : colpal=='Palette 5' ? #cc65b7 : #7f7f7f
sym28col = colpal=='Palette 1' ? color.rgb(222, 203, 228) : colpal=='Palette 2' ? #b15928 : colpal=='Palette 3' ? #966398 : colpal=='Palette 4' ? #dad1d8 : colpal=='Palette 5' ? #cc65a3 : #c7c7c7
sym29col = colpal=='Palette 1' ? color.rgb(254, 217, 166) : colpal=='Palette 2' ? #ffab70 : colpal=='Palette 3' ? #fbe7ec : colpal=='Palette 4' ? #e9d9dd : colpal=='Palette 5' ? #cc658e : #bcbd22
sym30col = colpal=='Palette 1' ? color.rgb(255, 237, 111) : colpal=='Palette 2' ? #e08e45 : colpal=='Palette 3' ? #e3ecf0 : colpal=='Palette 4' ? #f9e1e2 : colpal=='Palette 5' ? #cc657a : #dbdb8d
// Assigning symbols based on the selected group
S1 = gn == 'Group 1' ? sym1 : gn == 'Group 2' ? sym1_ : sym1 , C1 = gn == 'Group 1' ? showsym1 : gn == 'Group 2' ? showsym1_ : showsym1
S2 = gn == 'Group 1' ? sym2 : gn == 'Group 2' ? sym2_ : sym2 , C2 = gn == 'Group 1' ? showsym2 : gn == 'Group 2' ? showsym2_ : showsym2
S3 = gn == 'Group 1' ? sym3 : gn == 'Group 2' ? sym3_ : sym3 , C3 = gn == 'Group 1' ? showsym3 : gn == 'Group 2' ? showsym3_ : showsym3
S4 = gn == 'Group 1' ? sym4 : gn == 'Group 2' ? sym4_ : sym4 , C4 = gn == 'Group 1' ? showsym4 : gn == 'Group 2' ? showsym4_ : showsym4
S5 = gn == 'Group 1' ? sym5 : gn == 'Group 2' ? sym5_ : sym5 , C5 = gn == 'Group 1' ? showsym5 : gn == 'Group 2' ? showsym5_ : showsym5
S6 = gn == 'Group 1' ? sym6 : gn == 'Group 2' ? sym6_ : sym6 , C6 = gn == 'Group 1' ? showsym6 : gn == 'Group 2' ? showsym6_ : showsym6
S7 = gn == 'Group 1' ? sym7 : gn == 'Group 2' ? sym7_ : sym7 , C7 = gn == 'Group 1' ? showsym7 : gn == 'Group 2' ? showsym7_ : showsym7
S8 = gn == 'Group 1' ? sym8 : gn == 'Group 2' ? sym8_ : sym8 , C8 = gn == 'Group 1' ? showsym8 : gn == 'Group 2' ? showsym8_ : showsym8
S9 = gn == 'Group 1' ? sym9 : gn == 'Group 2' ? sym9_ : sym9 , C9 = gn == 'Group 1' ? showsym9 : gn == 'Group 2' ? showsym9_ : showsym9
Tradingview Membership
13 May, 15:24
sym29 = input.symbol('BINANCE:QNTUSDT.P', '', group=g1, inline = '29' ), sym29_ = input.symbol('BINANCE:GALAUSDT.P', '', group=g2, inline = '29_' ), sym29 = input.symbol('BINANCE:STXUSDT.P', '', group=g3, inline = '29')
sym30 = input.symbol('BINANCE:VETUSDT.P', '', group=g1, inline = '30' ), sym30_ = input.symbol('BINANCE:WOOUSDT.P', '', group=g2, inline = '30_' ), sym30 = input.symbol('BINANCE:API3USDT.P', '', group=g3, inline = '30')
// Assigning colors based on the selected palette
sym1col = colpal=='Palette 1' ? color.rgb(141, 211, 199) : colpal=='Palette 2' ? #1f77b4 : colpal=='Palette 3' ? #a0e4c0 : colpal=='Palette 4' ? #98bae3 : colpal=='Palette 5' ? #cc6565 : #1f77b4
sym2col = colpal=='Palette 1' ? color.rgb(255, 255, 179) : colpal=='Palette 2' ? #aec7e8 : colpal=='Palette 3' ? #7d8bae : colpal=='Palette 4' ? #8fb2dc : colpal=='Palette 5' ? #cc7a65 : #aec7e8
sym3col = colpal=='Palette 1' ? color.rgb(190, 186, 218) : colpal=='Palette 2' ? #ffbb78 : colpal=='Palette 3' ? #e5857b : colpal=='Palette 4' ? #86aad6 : colpal=='Palette 5' ? #cc8e65 : #ff7f0e
sym4col = colpal=='Palette 1' ? color.rgb(251, 128, 114) : colpal=='Palette 2' ? #2ca02c : colpal=='Palette 3' ? #f1b2b2 : colpal=='Palette 4' ? #7da2d0 : colpal=='Palette 5' ? #cca365 : #ffbb78
sym5col = colpal=='Palette 1' ? color.rgb(128, 177, 211) : colpal=='Palette 2' ? #98df8a : colpal=='Palette 3' ? #e8ccc7 : colpal=='Palette 4' ? #749bca : colpal=='Palette 5' ? #ccb765 : #2ca02c
sym6col = colpal=='Palette 1' ? color.rgb(253, 180, 98) : colpal=='Palette 2' ? #d62728 : colpal=='Palette 3' ? #506488 : colpal=='Palette 4' ? #6c93c5 : colpal=='Palette 5' ? #cccc65 : #98df8a
sym7col = colpal=='Palette 1' ? color.rgb(179, 222, 105) : colpal=='Palette 2' ? #ff9896 : colpal=='Palette 3' ? #849bb1 : colpal=='Palette 4' ? #648bbf : colpal=='Palette 5' ? #b7cc65 : #d62728
sym8col = colpal=='Palette 1' ? color.rgb(252, 205, 229) : colpal=='Palette 2' ? #9467bd : colpal=='Palette 3' ? #e89c8f : colpal=='Palette 4' ? #5d83ba : colpal=='Palette 5' ? #a3cc65 : #ff9896
sym9col = colpal=='Palette 1' ? color.rgb(217, 217, 217) : colpal=='Palette 2' ? #c5b0d5 : colpal=='Palette 3' ? #f3c3c3 : colpal=='Palette 4' ? #557bb4 : colpal=='Palette 5' ? #8ecc65 : #9467bd
sym10col = colpal=='Palette 1' ? color.rgb(188, 128, 189) : colpal=='Palette 2' ? #8c564b : colpal=='Palette 3' ? #eddbd2 : colpal=='Palette 4' ? #4e72ae : colpal=='Palette 5' ? #7acc65 : #c5b0d5
sym11col = colpal=='Palette 1' ? color.rgb(204, 235, 197) : colpal=='Palette 2' ? #c49c94 : colpal=='Palette 3' ? #5b7085 : colpal=='Palette 4' ? #466aa9 : colpal=='Palette 5' ? #65cc65 : #8c564b
sym12col = colpal=='Palette 1' ? color.rgb(222, 203, 228) : colpal=='Palette 2' ? #e377c2 : colpal=='Palette 3' ? #8badb5 : colpal=='Palette 4' ? #3f62a3 : colpal=='Palette 5' ? #65cc7a : #c49c94
sym13col = colpal=='Palette 1' ? color.rgb(254, 217, 166) : colpal=='Palette 2' ? #f7b6d2 : colpal=='Palette 3' ? #d17584 : colpal=='Palette 4' ? #375a9e : colpal=='Palette 5' ? #65cc8e : #e377c2
sym14col = colpal=='Palette 1' ? color.rgb(255, 237, 111) : colpal=='Palette 2' ? #7f7f7f : colpal=='Palette 3' ? #f4c8c5 : colpal=='Palette 4' ? #2f5298 : colpal=='Palette 5' ? #65cca3 : #f7b6d2
sym15col = colpal=='Palette 1' ? color.rgb(152, 223, 138) : colpal=='Palette 2' ? #c7c7c7 : colpal=='Palette 3' ? #ddd8da : colpal=='Palette 4' ? #284a93 : colpal=='Palette 5' ? #65ccb7 : #7f7f7f
sym16col = colpal=='Palette 1' ? color.rgb(158, 218, 229) : colpal=='Palette 2' ? #bcbd22 : colpal=='Palette 3' ? #667c91 : colpal=='Palette 4' ? #20428d : colpal=='Palette 5' ? #65cccc : #c7c7c7
sym17col = colpal=='Palette 1' ? color.rgb(213, 62, 79) : colpal=='Palette 2' ? #dbdb8d : colpal=='Palette 3' ? #92c0b8 : colpal=='Palette 4' ? #193a88 : colpal=='Palette 5' ? #65b7cc : #bcbd22
sym30 = input.symbol('BINANCE:VETUSDT.P', '', group=g1, inline = '30' ), sym30_ = input.symbol('BINANCE:WOOUSDT.P', '', group=g2, inline = '30_' ), sym30 = input.symbol('BINANCE:API3USDT.P', '', group=g3, inline = '30')
// Assigning colors based on the selected palette
sym1col = colpal=='Palette 1' ? color.rgb(141, 211, 199) : colpal=='Palette 2' ? #1f77b4 : colpal=='Palette 3' ? #a0e4c0 : colpal=='Palette 4' ? #98bae3 : colpal=='Palette 5' ? #cc6565 : #1f77b4
sym2col = colpal=='Palette 1' ? color.rgb(255, 255, 179) : colpal=='Palette 2' ? #aec7e8 : colpal=='Palette 3' ? #7d8bae : colpal=='Palette 4' ? #8fb2dc : colpal=='Palette 5' ? #cc7a65 : #aec7e8
sym3col = colpal=='Palette 1' ? color.rgb(190, 186, 218) : colpal=='Palette 2' ? #ffbb78 : colpal=='Palette 3' ? #e5857b : colpal=='Palette 4' ? #86aad6 : colpal=='Palette 5' ? #cc8e65 : #ff7f0e
sym4col = colpal=='Palette 1' ? color.rgb(251, 128, 114) : colpal=='Palette 2' ? #2ca02c : colpal=='Palette 3' ? #f1b2b2 : colpal=='Palette 4' ? #7da2d0 : colpal=='Palette 5' ? #cca365 : #ffbb78
sym5col = colpal=='Palette 1' ? color.rgb(128, 177, 211) : colpal=='Palette 2' ? #98df8a : colpal=='Palette 3' ? #e8ccc7 : colpal=='Palette 4' ? #749bca : colpal=='Palette 5' ? #ccb765 : #2ca02c
sym6col = colpal=='Palette 1' ? color.rgb(253, 180, 98) : colpal=='Palette 2' ? #d62728 : colpal=='Palette 3' ? #506488 : colpal=='Palette 4' ? #6c93c5 : colpal=='Palette 5' ? #cccc65 : #98df8a
sym7col = colpal=='Palette 1' ? color.rgb(179, 222, 105) : colpal=='Palette 2' ? #ff9896 : colpal=='Palette 3' ? #849bb1 : colpal=='Palette 4' ? #648bbf : colpal=='Palette 5' ? #b7cc65 : #d62728
sym8col = colpal=='Palette 1' ? color.rgb(252, 205, 229) : colpal=='Palette 2' ? #9467bd : colpal=='Palette 3' ? #e89c8f : colpal=='Palette 4' ? #5d83ba : colpal=='Palette 5' ? #a3cc65 : #ff9896
sym9col = colpal=='Palette 1' ? color.rgb(217, 217, 217) : colpal=='Palette 2' ? #c5b0d5 : colpal=='Palette 3' ? #f3c3c3 : colpal=='Palette 4' ? #557bb4 : colpal=='Palette 5' ? #8ecc65 : #9467bd
sym10col = colpal=='Palette 1' ? color.rgb(188, 128, 189) : colpal=='Palette 2' ? #8c564b : colpal=='Palette 3' ? #eddbd2 : colpal=='Palette 4' ? #4e72ae : colpal=='Palette 5' ? #7acc65 : #c5b0d5
sym11col = colpal=='Palette 1' ? color.rgb(204, 235, 197) : colpal=='Palette 2' ? #c49c94 : colpal=='Palette 3' ? #5b7085 : colpal=='Palette 4' ? #466aa9 : colpal=='Palette 5' ? #65cc65 : #8c564b
sym12col = colpal=='Palette 1' ? color.rgb(222, 203, 228) : colpal=='Palette 2' ? #e377c2 : colpal=='Palette 3' ? #8badb5 : colpal=='Palette 4' ? #3f62a3 : colpal=='Palette 5' ? #65cc7a : #c49c94
sym13col = colpal=='Palette 1' ? color.rgb(254, 217, 166) : colpal=='Palette 2' ? #f7b6d2 : colpal=='Palette 3' ? #d17584 : colpal=='Palette 4' ? #375a9e : colpal=='Palette 5' ? #65cc8e : #e377c2
sym14col = colpal=='Palette 1' ? color.rgb(255, 237, 111) : colpal=='Palette 2' ? #7f7f7f : colpal=='Palette 3' ? #f4c8c5 : colpal=='Palette 4' ? #2f5298 : colpal=='Palette 5' ? #65cca3 : #f7b6d2
sym15col = colpal=='Palette 1' ? color.rgb(152, 223, 138) : colpal=='Palette 2' ? #c7c7c7 : colpal=='Palette 3' ? #ddd8da : colpal=='Palette 4' ? #284a93 : colpal=='Palette 5' ? #65ccb7 : #7f7f7f
sym16col = colpal=='Palette 1' ? color.rgb(158, 218, 229) : colpal=='Palette 2' ? #bcbd22 : colpal=='Palette 3' ? #667c91 : colpal=='Palette 4' ? #20428d : colpal=='Palette 5' ? #65cccc : #c7c7c7
sym17col = colpal=='Palette 1' ? color.rgb(213, 62, 79) : colpal=='Palette 2' ? #dbdb8d : colpal=='Palette 3' ? #92c0b8 : colpal=='Palette 4' ? #193a88 : colpal=='Palette 5' ? #65b7cc : #bcbd22
Tradingview Membership
13 May, 15:24
sym13 = input.symbol('BINANCE:BCHUSDT.P', '', group=g1, inline = '13' ), sym13_ = input.symbol('BINANCE:APEUSDT.P', '', group=g2, inline = '13_' ), sym13 = input.symbol('BINANCE:EDUUSDT.P', '', group=g3, inline = '13')
sym14 = input.symbol('BINANCE:AVAXUSDT.P', '', group=g1, inline = '14' ), sym14_ = input.symbol('BINANCE:1000PEPEUSDT.P', '', group=g2, inline = '14_' ), sym14 = input.symbol('BINANCE:FETUSDT.P', '', group=g3, inline = '14')
sym15 = input.symbol('BINANCE:LINKUSDT.P', '', group=g1, inline = '15' ), sym15_ = input.symbol('BINANCE:WAVESUSDT.P', '', group=g2, inline = '15_' ), sym15 = input.symbol('BINANCE:AXSUSDT.P', '', group=g3, inline = '15')
sym16 = input.symbol('BINANCE:XLMUSDT.P', '', group=g1, inline = '16' ), sym16_ = input.symbol('BINANCE:LPTUSDT.P', '', group=g2, inline = '16_' ), sym16 = input.symbol('BINANCE:SNXUSDT.P', '', group=g3, inline = '16')
sym17 = input.symbol('BINANCE:XMRUSDT.P', '', group=g1, inline = '17' ), sym17_ = input.symbol('BINANCE:MKRUSDT.P', '', group=g2, inline = '17_' ), sym17 = input.symbol('BINANCE:ALGOUSDT.P', '', group=g3, inline = '17')
sym18 = input.symbol('BINANCE:UNIUSDT.P', '', group=g1, inline = '18' ), sym18_ = input.symbol('BINANCE:OXTUSDT.P', '', group=g2, inline = '18_' ), sym18 = input.symbol('BINANCE:TRUUSDT.P', '', group=g3, inline = '18')
sym19 = input.symbol('BINANCE:THETAUSDT.P', '', group=g1, inline = '19' ), sym19_ = input.symbol('BINANCE:CFXUSDT.P', '', group=g2, inline = '19_' ), sym19 = input.symbol('BINANCE:AMBUSDT.P', '', group=g3, inline = '19')
sym20 = input.symbol('BINANCE:ATOMUSDT.P', '', group=g1, inline = '20' ), sym20_ = input.symbol('BINANCE:WLDUSDT.P', '', group=g2, inline = '20_' ), sym20 = input.symbol('BINANCE:C98USDT.P', '', group=g3, inline = '20')
sym21 = input.symbol('BINANCE:HBARUSDT.P', '', group=g1, inline = '21' ), sym21_ = input.symbol('BINANCE:INJUSDT.P', '', group=g2, inline = '21_' ), sym21 = input.symbol('BINANCE:KNCUSDT.P', '', group=g3, inline = '21')
sym22 = input.symbol('BINANCE:ICPUSDT.P', '', group=g1, inline = '22' ), sym22_ = input.symbol('BINANCE:LINAUSDT.P', '', group=g2, inline = '22_' ), sym22 = input.symbol('BINANCE:SXPUSDT.P', '', group=g3, inline = '22')
sym23 = input.symbol('BINANCE:FILUSDT.P', '', group=g1, inline = '23' ), sym23_ = input.symbol('BINANCE:EOSUSDT.P', '', group=g2, inline = '23_' ), sym23 = input.symbol('BINANCE:ARKMUSDT.P', '', group=g3, inline = '23')
sym24 = input.symbol('BINANCE:LDOUSDT.P', '', group=g1, inline = '24' ), sym24_ = input.symbol('BINANCE:SEIUSDT.P', '', group=g2, inline = '24_' ), sym24 = input.symbol('BINANCE:CELOUSDT.P', '', group=g3, inline = '24')
sym25 = input.symbol('BINANCE:GRTUSDT.P', '', group=g1, inline = '25' ), sym25_ = input.symbol('BINANCE:BAKEUSDT.P', '', group=g2, inline = '25_' ), sym25 = input.symbol('BINANCE:SUSHIUSDT.P', '', group=g3, inline = '25')
sym26 = input.symbol('BINANCE:APTUSDT.P', '', group=g1, inline = '26' ), sym26_ = input.symbol('BINANCE:FTMUSDT.P', '', group=g2, inline = '26_' ), sym26 = input.symbol('BINANCE:ARPAUSDT.P', '', group=g3, inline = '26')
sym27 = input.symbol('BINANCE:OPUSDT.P', '', group=g1, inline = '27' ), sym27_ = input.symbol('BINANCE:MASKUSDT.P', '', group=g2, inline = '27_' ), sym27 = input.symbol('BINANCE:MTLUSDT.P', '', group=g3, inline = '27')
sym28 = input.symbol('BINANCE:ARBUSDT.P', '', group=g1, inline = '28' ), sym28_ = input.symbol('BINANCE:STMXUSDT.P', '', group=g2, inline = '28_' ), sym28 = input.symbol('BINANCE:RNDRUSDT.P', '', group=g3, inline = '28')
sym14 = input.symbol('BINANCE:AVAXUSDT.P', '', group=g1, inline = '14' ), sym14_ = input.symbol('BINANCE:1000PEPEUSDT.P', '', group=g2, inline = '14_' ), sym14 = input.symbol('BINANCE:FETUSDT.P', '', group=g3, inline = '14')
sym15 = input.symbol('BINANCE:LINKUSDT.P', '', group=g1, inline = '15' ), sym15_ = input.symbol('BINANCE:WAVESUSDT.P', '', group=g2, inline = '15_' ), sym15 = input.symbol('BINANCE:AXSUSDT.P', '', group=g3, inline = '15')
sym16 = input.symbol('BINANCE:XLMUSDT.P', '', group=g1, inline = '16' ), sym16_ = input.symbol('BINANCE:LPTUSDT.P', '', group=g2, inline = '16_' ), sym16 = input.symbol('BINANCE:SNXUSDT.P', '', group=g3, inline = '16')
sym17 = input.symbol('BINANCE:XMRUSDT.P', '', group=g1, inline = '17' ), sym17_ = input.symbol('BINANCE:MKRUSDT.P', '', group=g2, inline = '17_' ), sym17 = input.symbol('BINANCE:ALGOUSDT.P', '', group=g3, inline = '17')
sym18 = input.symbol('BINANCE:UNIUSDT.P', '', group=g1, inline = '18' ), sym18_ = input.symbol('BINANCE:OXTUSDT.P', '', group=g2, inline = '18_' ), sym18 = input.symbol('BINANCE:TRUUSDT.P', '', group=g3, inline = '18')
sym19 = input.symbol('BINANCE:THETAUSDT.P', '', group=g1, inline = '19' ), sym19_ = input.symbol('BINANCE:CFXUSDT.P', '', group=g2, inline = '19_' ), sym19 = input.symbol('BINANCE:AMBUSDT.P', '', group=g3, inline = '19')
sym20 = input.symbol('BINANCE:ATOMUSDT.P', '', group=g1, inline = '20' ), sym20_ = input.symbol('BINANCE:WLDUSDT.P', '', group=g2, inline = '20_' ), sym20 = input.symbol('BINANCE:C98USDT.P', '', group=g3, inline = '20')
sym21 = input.symbol('BINANCE:HBARUSDT.P', '', group=g1, inline = '21' ), sym21_ = input.symbol('BINANCE:INJUSDT.P', '', group=g2, inline = '21_' ), sym21 = input.symbol('BINANCE:KNCUSDT.P', '', group=g3, inline = '21')
sym22 = input.symbol('BINANCE:ICPUSDT.P', '', group=g1, inline = '22' ), sym22_ = input.symbol('BINANCE:LINAUSDT.P', '', group=g2, inline = '22_' ), sym22 = input.symbol('BINANCE:SXPUSDT.P', '', group=g3, inline = '22')
sym23 = input.symbol('BINANCE:FILUSDT.P', '', group=g1, inline = '23' ), sym23_ = input.symbol('BINANCE:EOSUSDT.P', '', group=g2, inline = '23_' ), sym23 = input.symbol('BINANCE:ARKMUSDT.P', '', group=g3, inline = '23')
sym24 = input.symbol('BINANCE:LDOUSDT.P', '', group=g1, inline = '24' ), sym24_ = input.symbol('BINANCE:SEIUSDT.P', '', group=g2, inline = '24_' ), sym24 = input.symbol('BINANCE:CELOUSDT.P', '', group=g3, inline = '24')
sym25 = input.symbol('BINANCE:GRTUSDT.P', '', group=g1, inline = '25' ), sym25_ = input.symbol('BINANCE:BAKEUSDT.P', '', group=g2, inline = '25_' ), sym25 = input.symbol('BINANCE:SUSHIUSDT.P', '', group=g3, inline = '25')
sym26 = input.symbol('BINANCE:APTUSDT.P', '', group=g1, inline = '26' ), sym26_ = input.symbol('BINANCE:FTMUSDT.P', '', group=g2, inline = '26_' ), sym26 = input.symbol('BINANCE:ARPAUSDT.P', '', group=g3, inline = '26')
sym27 = input.symbol('BINANCE:OPUSDT.P', '', group=g1, inline = '27' ), sym27_ = input.symbol('BINANCE:MASKUSDT.P', '', group=g2, inline = '27_' ), sym27 = input.symbol('BINANCE:MTLUSDT.P', '', group=g3, inline = '27')
sym28 = input.symbol('BINANCE:ARBUSDT.P', '', group=g1, inline = '28' ), sym28_ = input.symbol('BINANCE:STMXUSDT.P', '', group=g2, inline = '28_' ), sym28 = input.symbol('BINANCE:RNDRUSDT.P', '', group=g3, inline = '28')
Tradingview Membership
13 May, 15:24
showsym26 = input.bool(true, '', group = g1, inline = '26' ), showsym26_ = input.bool(true, '', group = g2, inline = '26_' ), showsym26 = input.bool(true, '', group = g3, inline = '26')
showsym27 = input.bool(true, '', group = g1, inline = '27' ), showsym27_ = input.bool(true, '', group = g2, inline = '27_' ), showsym27 = input.bool(true, '', group = g3, inline = '27')
showsym28 = input.bool(true, '', group = g1, inline = '28' ), showsym28_ = input.bool(true, '', group = g2, inline = '28_' ), showsym28 = input.bool(true, '', group = g3, inline = '28')
showsym29 = input.bool(true, '', group = g1, inline = '29' ), showsym29_ = input.bool(true, '', group = g2, inline = '29_' ), showsym29 = input.bool(true, '', group = g3, inline = '29')
showsym30 = input.bool(true, '', group = g1, inline = '30' ), showsym30_ = input.bool(true, '', group = g2, inline = '30_' ), showsym30 = input.bool(true, '', group = g3, inline = '30')
// User Inputs - Symbols
sym1 = input.symbol('BINANCE:BTCUSDT.P', '', group=g1, inline = '1' ), sym1_ = input.symbol('BINANCE:BTCUSDT.P', '', group=g2, inline = '1_' ), sym1 = input.symbol('BINANCE:BTCUSDT.P', '', group=g3, inline = '1' )
sym2 = input.symbol('BINANCE:ETHUSDT.P', '', group=g1, inline = '2' ), sym2_ = input.symbol('BINANCE:BLZUSDT.P', '', group=g2, inline = '2_' ), sym2 = input.symbol('BINANCE:NEARUSDT.P', '', group=g3, inline = '2' )
sym3 = input.symbol('BINANCE:BNBUSDT.P', '', group=g1, inline = '3' ), sym3_ = input.symbol('BINANCE:CYBERUSDT.P', '', group=g2, inline = '3_' ), sym3 = input.symbol('BINANCE:ATOMUSDT.P', '', group=g3, inline = '3' )
sym4 = input.symbol('BINANCE:XRPUSDT.P', '', group=g1, inline = '4' ), sym4_ = input.symbol('BINANCE:RUNEUSDT.P', '', group=g2, inline = '4_' ), sym4 = input.symbol('BINANCE:YGGUSDT.P', '', group=g3, inline = '4' )
sym5 = input.symbol('BINANCE:ADAUSDT.P', '', group=g1, inline = '5' ), sym5_ = input.symbol('BINANCE:LEVERUSDT.P', '', group=g2, inline = '5_' ), sym5 = input.symbol('BINANCE:SANDUSDT.P', '', group=g3, inline = '5' )
sym6 = input.symbol('BINANCE:DOGEUSDT.P', '', group=g1, inline = '6' ), sym6_ = input.symbol('BINANCE:SFPUSDT.P', '', group=g2, inline = '6_' ), sym6 = input.symbol('BINANCE:GMTUSDT.P', '', group=g3, inline = '6' )
sym7 = input.symbol('BINANCE:SOLUSDT.P', '', group=g1, inline = '7' ), sym7_ = input.symbol('BINANCE:SUIUSDT.P', '', group=g2, inline = '7_' ), sym7 = input.symbol('BINANCE:DYDXUSDT.P', '', group=g3, inline = '7' )
sym8 = input.symbol('BINANCE:TRXUSDT.P', '', group=g1, inline = '8' ), sym8_ = input.symbol('BINANCE:OPUSDT.P', '', group=g2, inline = '8_' ), sym8 = input.symbol('BINANCE:KAVAUSDT.P', '', group=g3, inline = '8' )
sym9 = input.symbol('BINANCE:DOTUSDT.P', '', group=g1, inline = '9' ), sym9_ = input.symbol('BINANCE:UNFIUSDT.P', '', group=g2, inline = '9_' ), sym9 = input.symbol('BINANCE:ASTRUSDT.P', '', group=g3, inline = '9' )
sym10 = input.symbol('BINANCE:MATICUSDT.P', '', group=g1, inline = '10' ), sym10_ = input.symbol('BINANCE:CRVUSDT.P', '', group=g2, inline = '10_' ), sym10 = input.symbol('BINANCE:MANAUSDT.P', '', group=g3, inline = '10')
sym11 = input.symbol('BINANCE:LTCUSDT.P', '', group=g1, inline = '11' ), sym11_ = input.symbol('BINANCE:COMPUSDT.P', '', group=g2, inline = '11_' ), sym11 = input.symbol('BINANCE:AAVEUSDT.P', '', group=g3, inline = '11')
sym12 = input.symbol('BINANCE:1000SHIBUSDT.P', '', group=g1, inline = '12' ), sym12_ = input.symbol('BINANCE:TIAUSDT.P', '', group=g2, inline = '12_' ), sym12 = input.symbol('BINANCE:WIFUSDT.P', '', group=g3, inline = '12')
showsym27 = input.bool(true, '', group = g1, inline = '27' ), showsym27_ = input.bool(true, '', group = g2, inline = '27_' ), showsym27 = input.bool(true, '', group = g3, inline = '27')
showsym28 = input.bool(true, '', group = g1, inline = '28' ), showsym28_ = input.bool(true, '', group = g2, inline = '28_' ), showsym28 = input.bool(true, '', group = g3, inline = '28')
showsym29 = input.bool(true, '', group = g1, inline = '29' ), showsym29_ = input.bool(true, '', group = g2, inline = '29_' ), showsym29 = input.bool(true, '', group = g3, inline = '29')
showsym30 = input.bool(true, '', group = g1, inline = '30' ), showsym30_ = input.bool(true, '', group = g2, inline = '30_' ), showsym30 = input.bool(true, '', group = g3, inline = '30')
// User Inputs - Symbols
sym1 = input.symbol('BINANCE:BTCUSDT.P', '', group=g1, inline = '1' ), sym1_ = input.symbol('BINANCE:BTCUSDT.P', '', group=g2, inline = '1_' ), sym1 = input.symbol('BINANCE:BTCUSDT.P', '', group=g3, inline = '1' )
sym2 = input.symbol('BINANCE:ETHUSDT.P', '', group=g1, inline = '2' ), sym2_ = input.symbol('BINANCE:BLZUSDT.P', '', group=g2, inline = '2_' ), sym2 = input.symbol('BINANCE:NEARUSDT.P', '', group=g3, inline = '2' )
sym3 = input.symbol('BINANCE:BNBUSDT.P', '', group=g1, inline = '3' ), sym3_ = input.symbol('BINANCE:CYBERUSDT.P', '', group=g2, inline = '3_' ), sym3 = input.symbol('BINANCE:ATOMUSDT.P', '', group=g3, inline = '3' )
sym4 = input.symbol('BINANCE:XRPUSDT.P', '', group=g1, inline = '4' ), sym4_ = input.symbol('BINANCE:RUNEUSDT.P', '', group=g2, inline = '4_' ), sym4 = input.symbol('BINANCE:YGGUSDT.P', '', group=g3, inline = '4' )
sym5 = input.symbol('BINANCE:ADAUSDT.P', '', group=g1, inline = '5' ), sym5_ = input.symbol('BINANCE:LEVERUSDT.P', '', group=g2, inline = '5_' ), sym5 = input.symbol('BINANCE:SANDUSDT.P', '', group=g3, inline = '5' )
sym6 = input.symbol('BINANCE:DOGEUSDT.P', '', group=g1, inline = '6' ), sym6_ = input.symbol('BINANCE:SFPUSDT.P', '', group=g2, inline = '6_' ), sym6 = input.symbol('BINANCE:GMTUSDT.P', '', group=g3, inline = '6' )
sym7 = input.symbol('BINANCE:SOLUSDT.P', '', group=g1, inline = '7' ), sym7_ = input.symbol('BINANCE:SUIUSDT.P', '', group=g2, inline = '7_' ), sym7 = input.symbol('BINANCE:DYDXUSDT.P', '', group=g3, inline = '7' )
sym8 = input.symbol('BINANCE:TRXUSDT.P', '', group=g1, inline = '8' ), sym8_ = input.symbol('BINANCE:OPUSDT.P', '', group=g2, inline = '8_' ), sym8 = input.symbol('BINANCE:KAVAUSDT.P', '', group=g3, inline = '8' )
sym9 = input.symbol('BINANCE:DOTUSDT.P', '', group=g1, inline = '9' ), sym9_ = input.symbol('BINANCE:UNFIUSDT.P', '', group=g2, inline = '9_' ), sym9 = input.symbol('BINANCE:ASTRUSDT.P', '', group=g3, inline = '9' )
sym10 = input.symbol('BINANCE:MATICUSDT.P', '', group=g1, inline = '10' ), sym10_ = input.symbol('BINANCE:CRVUSDT.P', '', group=g2, inline = '10_' ), sym10 = input.symbol('BINANCE:MANAUSDT.P', '', group=g3, inline = '10')
sym11 = input.symbol('BINANCE:LTCUSDT.P', '', group=g1, inline = '11' ), sym11_ = input.symbol('BINANCE:COMPUSDT.P', '', group=g2, inline = '11_' ), sym11 = input.symbol('BINANCE:AAVEUSDT.P', '', group=g3, inline = '11')
sym12 = input.symbol('BINANCE:1000SHIBUSDT.P', '', group=g1, inline = '12' ), sym12_ = input.symbol('BINANCE:TIAUSDT.P', '', group=g2, inline = '12_' ), sym12 = input.symbol('BINANCE:WIFUSDT.P', '', group=g3, inline = '12')
Tradingview Membership
13 May, 15:24
showsym6 = input.bool(true, '', group = g1, inline = '6' ), showsym6_ = input.bool(true, '', group = g2, inline = '6_' ), showsym6 = input.bool(true, '', group = g3, inline = '6' )
showsym7 = input.bool(true, '', group = g1, inline = '7' ), showsym7_ = input.bool(true, '', group = g2, inline = '7_' ), showsym7 = input.bool(true, '', group = g3, inline = '7' )
showsym8 = input.bool(true, '', group = g1, inline = '8' ), showsym8_ = input.bool(true, '', group = g2, inline = '8_' ), showsym8 = input.bool(true, '', group = g3, inline = '8' )
showsym9 = input.bool(true, '', group = g1, inline = '9' ), showsym9_ = input.bool(true, '', group = g2, inline = '9_' ), showsym9 = input.bool(true, '', group = g3, inline = '9' )
showsym10 = input.bool(true, '', group = g1, inline = '10' ), showsym10_ = input.bool(true, '', group = g2, inline = '10_' ), showsym10 = input.bool(true, '', group = g3, inline = '10')
showsym11 = input.bool(true, '', group = g1, inline = '11' ), showsym11_ = input.bool(true, '', group = g2, inline = '11_' ), showsym11 = input.bool(true, '', group = g3, inline = '11')
showsym12 = input.bool(true, '', group = g1, inline = '12' ), showsym12_ = input.bool(true, '', group = g2, inline = '12_' ), showsym12 = input.bool(true, '', group = g3, inline = '12')
showsym13 = input.bool(true, '', group = g1, inline = '13' ), showsym13_ = input.bool(true, '', group = g2, inline = '13_' ), showsym13 = input.bool(true, '', group = g3, inline = '13')
showsym14 = input.bool(true, '', group = g1, inline = '14' ), showsym14_ = input.bool(true, '', group = g2, inline = '14_' ), showsym14 = input.bool(true, '', group = g3, inline = '14')
showsym15 = input.bool(true, '', group = g1, inline = '15' ), showsym15_ = input.bool(true, '', group = g2, inline = '15_' ), showsym15 = input.bool(true, '', group = g3, inline = '15')
showsym16 = input.bool(true, '', group = g1, inline = '16' ), showsym16_ = input.bool(true, '', group = g2, inline = '16_' ), showsym16 = input.bool(true, '', group = g3, inline = '16')
showsym17 = input.bool(true, '', group = g1, inline = '17' ), showsym17_ = input.bool(true, '', group = g2, inline = '17_' ), showsym17 = input.bool(true, '', group = g3, inline = '17')
showsym18 = input.bool(true, '', group = g1, inline = '18' ), showsym18_ = input.bool(true, '', group = g2, inline = '18_' ), showsym18 = input.bool(true, '', group = g3, inline = '18')
showsym19 = input.bool(true, '', group = g1, inline = '19' ), showsym19_ = input.bool(true, '', group = g2, inline = '19_' ), showsym19 = input.bool(true, '', group = g3, inline = '19')
showsym20 = input.bool(true, '', group = g1, inline = '20' ), showsym20_ = input.bool(true, '', group = g2, inline = '20_' ), showsym20 = input.bool(true, '', group = g3, inline = '20')
showsym21 = input.bool(true, '', group = g1, inline = '21' ), showsym21_ = input.bool(true, '', group = g2, inline = '21_' ), showsym21 = input.bool(true, '', group = g3, inline = '21')
showsym22 = input.bool(true, '', group = g1, inline = '22' ), showsym22_ = input.bool(true, '', group = g2, inline = '22_' ), showsym22 = input.bool(true, '', group = g3, inline = '22')
showsym23 = input.bool(true, '', group = g1, inline = '23' ), showsym23_ = input.bool(true, '', group = g2, inline = '23_' ), showsym23 = input.bool(true, '', group = g3, inline = '23')
showsym24 = input.bool(true, '', group = g1, inline = '24' ), showsym24_ = input.bool(true, '', group = g2, inline = '24_' ), showsym24 = input.bool(true, '', group = g3, inline = '24')
showsym25 = input.bool(true, '', group = g1, inline = '25' ), showsym25_ = input.bool(true, '', group = g2, inline = '25_' ), showsym25 = input.bool(true, '', group = g3, inline = '25')
showsym7 = input.bool(true, '', group = g1, inline = '7' ), showsym7_ = input.bool(true, '', group = g2, inline = '7_' ), showsym7 = input.bool(true, '', group = g3, inline = '7' )
showsym8 = input.bool(true, '', group = g1, inline = '8' ), showsym8_ = input.bool(true, '', group = g2, inline = '8_' ), showsym8 = input.bool(true, '', group = g3, inline = '8' )
showsym9 = input.bool(true, '', group = g1, inline = '9' ), showsym9_ = input.bool(true, '', group = g2, inline = '9_' ), showsym9 = input.bool(true, '', group = g3, inline = '9' )
showsym10 = input.bool(true, '', group = g1, inline = '10' ), showsym10_ = input.bool(true, '', group = g2, inline = '10_' ), showsym10 = input.bool(true, '', group = g3, inline = '10')
showsym11 = input.bool(true, '', group = g1, inline = '11' ), showsym11_ = input.bool(true, '', group = g2, inline = '11_' ), showsym11 = input.bool(true, '', group = g3, inline = '11')
showsym12 = input.bool(true, '', group = g1, inline = '12' ), showsym12_ = input.bool(true, '', group = g2, inline = '12_' ), showsym12 = input.bool(true, '', group = g3, inline = '12')
showsym13 = input.bool(true, '', group = g1, inline = '13' ), showsym13_ = input.bool(true, '', group = g2, inline = '13_' ), showsym13 = input.bool(true, '', group = g3, inline = '13')
showsym14 = input.bool(true, '', group = g1, inline = '14' ), showsym14_ = input.bool(true, '', group = g2, inline = '14_' ), showsym14 = input.bool(true, '', group = g3, inline = '14')
showsym15 = input.bool(true, '', group = g1, inline = '15' ), showsym15_ = input.bool(true, '', group = g2, inline = '15_' ), showsym15 = input.bool(true, '', group = g3, inline = '15')
showsym16 = input.bool(true, '', group = g1, inline = '16' ), showsym16_ = input.bool(true, '', group = g2, inline = '16_' ), showsym16 = input.bool(true, '', group = g3, inline = '16')
showsym17 = input.bool(true, '', group = g1, inline = '17' ), showsym17_ = input.bool(true, '', group = g2, inline = '17_' ), showsym17 = input.bool(true, '', group = g3, inline = '17')
showsym18 = input.bool(true, '', group = g1, inline = '18' ), showsym18_ = input.bool(true, '', group = g2, inline = '18_' ), showsym18 = input.bool(true, '', group = g3, inline = '18')
showsym19 = input.bool(true, '', group = g1, inline = '19' ), showsym19_ = input.bool(true, '', group = g2, inline = '19_' ), showsym19 = input.bool(true, '', group = g3, inline = '19')
showsym20 = input.bool(true, '', group = g1, inline = '20' ), showsym20_ = input.bool(true, '', group = g2, inline = '20_' ), showsym20 = input.bool(true, '', group = g3, inline = '20')
showsym21 = input.bool(true, '', group = g1, inline = '21' ), showsym21_ = input.bool(true, '', group = g2, inline = '21_' ), showsym21 = input.bool(true, '', group = g3, inline = '21')
showsym22 = input.bool(true, '', group = g1, inline = '22' ), showsym22_ = input.bool(true, '', group = g2, inline = '22_' ), showsym22 = input.bool(true, '', group = g3, inline = '22')
showsym23 = input.bool(true, '', group = g1, inline = '23' ), showsym23_ = input.bool(true, '', group = g2, inline = '23_' ), showsym23 = input.bool(true, '', group = g3, inline = '23')
showsym24 = input.bool(true, '', group = g1, inline = '24' ), showsym24_ = input.bool(true, '', group = g2, inline = '24_' ), showsym24 = input.bool(true, '', group = g3, inline = '24')
showsym25 = input.bool(true, '', group = g1, inline = '25' ), showsym25_ = input.bool(true, '', group = g2, inline = '25_' ), showsym25 = input.bool(true, '', group = g3, inline = '25')
Tradingview Membership
13 May, 15:24
counthl = input.int(3, "", inline = 'hg', group = g0)
nonhlcol = input.color(color.rgb(120, 123, 134, 63), '', inline = 'hg', group = g0, tooltip = tt6)
plotmean = input.bool(false, 'Group Mean ββββββββββββββ', inline = 'bs', group = g0)
meantype = input.string('Group Average', '', options = ['Group Average', 'First Ticker'], inline = 'bs', group = g0)
meancol = input.color(color.gray, '', inline = 'bs', group = g0, tooltip = tt7)
showprof = input.bool(false, 'Profileββββββββββββββββββββ', inline = 'prof', group = g0)
profoffs = input.int(15, '', inline = 'prof', group = g0)
profcol = input.color(#2195f3bf, '', inline = 'prof', group = g0, tooltip = tt8)
hm = input.bool(false, 'Gradientββββββββββββββββββ', inline = 'hm', group = g0)
hm1 = input.color(#5b9cf6, '', inline = 'hm', group = g0)
hm3 = input.color(#ce93d8, '-', inline = 'hm', group = g0)
hm2 = input.color(#f7525f, '-', inline = 'hm', group = g0, tooltip = tt9)
// User Inputs - Table
showtable = input.bool(false, 'Show Table', group = g4)
tablepos = input.string('Middle Right', 'Position & Sizeββββ', options = ['Middle Right', 'Top Right', 'Bottom Right', 'Middle Left', 'Top Left', 'Bottom Left'], group = g4, inline = 'ta1')
tablesize = input.float(3, '', minval = 1, maxval = 20, group = g4, inline = 'ta1', tooltip = tt10)
textsize = input.string('Tiny', 'Text & Border Sizeβ', options = ['Tiny', 'Small', 'Normal', 'Auto'], group = g4, inline = 'ta2')
bordsize = input.int(0, '', group = g4, inline = 'ta2', tooltip = tt11)
clen = input.int(100, 'Reference Lengthβββ', group = g4, inline = 'ta3', tooltip = tt12)
rsilen = input.int(14, 'RSI Length', group = g4, tooltip = tt13)
show_tick = true
show_chg = input.bool(true, 'Percent Changeβ', group = g4, inline = 'ta4')
show_corr = input.bool(false, 'Correlation to Mean', group = g4, inline = 'ta4')
show_rsi = input.bool(false, 'RSI Valueβββββββ', group = g4, inline = 'ta5')
show_beta = input.bool(false, 'Beta Value', group = g4, inline = 'ta5')
// User Inputs - Other
starttime = input.time(timestamp("Aug 28 2023 00:00:00"), 'Timestamp', group = g5, tooltip = tt14)
linewidth = input.int(1, 'Plot Width', group = g5, tooltip = tt15)
offs = input.int(3, 'Label Offset', group = g5, tooltip = tt16)
profsize = input.int(6, 'Profile Size', group = g5, tooltip = tt17)
showtitle = input.bool(true, 'Show Titleββββββ', group = g5, inline = 'title')
titcol = input.color(color.gray, '', group = g5, inline = 'title')
showsep = input.bool(true, 'Show Separators', group = g5, inline = 'sepa')
bgcol = input.color(#787b8629, '', group = g5, inline = 'sepa')
// User Inputs - Groups
group1 = input.string('Group 1', 'Group name', group = g1)
group2 = input.string('Group 2', 'Group name', group = g2)
group3 = input.string('Group 3', 'Group name', group = g3)
// User Inputs - Bools
showsym1 = input.bool(true, '', group = g1, inline = '1' ), showsym1_ = input.bool(true, '', group = g2, inline = '1_' ), showsym1 = input.bool(true, '', group = g3, inline = '1' )
showsym2 = input.bool(true, '', group = g1, inline = '2' ), showsym2_ = input.bool(true, '', group = g2, inline = '2_' ), showsym2 = input.bool(true, '', group = g3, inline = '2' )
showsym3 = input.bool(true, '', group = g1, inline = '3' ), showsym3_ = input.bool(true, '', group = g2, inline = '3_' ), showsym3 = input.bool(true, '', group = g3, inline = '3' )
showsym4 = input.bool(true, '', group = g1, inline = '4' ), showsym4_ = input.bool(true, '', group = g2, inline = '4_' ), showsym4 = input.bool(true, '', group = g3, inline = '4' )
showsym5 = input.bool(true, '', group = g1, inline = '5' ), showsym5_ = input.bool(true, '', group = g2, inline = '5_' ), showsym5 = input.bool(true, '', group = g3, inline = '5' )
nonhlcol = input.color(color.rgb(120, 123, 134, 63), '', inline = 'hg', group = g0, tooltip = tt6)
plotmean = input.bool(false, 'Group Mean ββββββββββββββ', inline = 'bs', group = g0)
meantype = input.string('Group Average', '', options = ['Group Average', 'First Ticker'], inline = 'bs', group = g0)
meancol = input.color(color.gray, '', inline = 'bs', group = g0, tooltip = tt7)
showprof = input.bool(false, 'Profileββββββββββββββββββββ', inline = 'prof', group = g0)
profoffs = input.int(15, '', inline = 'prof', group = g0)
profcol = input.color(#2195f3bf, '', inline = 'prof', group = g0, tooltip = tt8)
hm = input.bool(false, 'Gradientββββββββββββββββββ', inline = 'hm', group = g0)
hm1 = input.color(#5b9cf6, '', inline = 'hm', group = g0)
hm3 = input.color(#ce93d8, '-', inline = 'hm', group = g0)
hm2 = input.color(#f7525f, '-', inline = 'hm', group = g0, tooltip = tt9)
// User Inputs - Table
showtable = input.bool(false, 'Show Table', group = g4)
tablepos = input.string('Middle Right', 'Position & Sizeββββ', options = ['Middle Right', 'Top Right', 'Bottom Right', 'Middle Left', 'Top Left', 'Bottom Left'], group = g4, inline = 'ta1')
tablesize = input.float(3, '', minval = 1, maxval = 20, group = g4, inline = 'ta1', tooltip = tt10)
textsize = input.string('Tiny', 'Text & Border Sizeβ', options = ['Tiny', 'Small', 'Normal', 'Auto'], group = g4, inline = 'ta2')
bordsize = input.int(0, '', group = g4, inline = 'ta2', tooltip = tt11)
clen = input.int(100, 'Reference Lengthβββ', group = g4, inline = 'ta3', tooltip = tt12)
rsilen = input.int(14, 'RSI Length', group = g4, tooltip = tt13)
show_tick = true
show_chg = input.bool(true, 'Percent Changeβ', group = g4, inline = 'ta4')
show_corr = input.bool(false, 'Correlation to Mean', group = g4, inline = 'ta4')
show_rsi = input.bool(false, 'RSI Valueβββββββ', group = g4, inline = 'ta5')
show_beta = input.bool(false, 'Beta Value', group = g4, inline = 'ta5')
// User Inputs - Other
starttime = input.time(timestamp("Aug 28 2023 00:00:00"), 'Timestamp', group = g5, tooltip = tt14)
linewidth = input.int(1, 'Plot Width', group = g5, tooltip = tt15)
offs = input.int(3, 'Label Offset', group = g5, tooltip = tt16)
profsize = input.int(6, 'Profile Size', group = g5, tooltip = tt17)
showtitle = input.bool(true, 'Show Titleββββββ', group = g5, inline = 'title')
titcol = input.color(color.gray, '', group = g5, inline = 'title')
showsep = input.bool(true, 'Show Separators', group = g5, inline = 'sepa')
bgcol = input.color(#787b8629, '', group = g5, inline = 'sepa')
// User Inputs - Groups
group1 = input.string('Group 1', 'Group name', group = g1)
group2 = input.string('Group 2', 'Group name', group = g2)
group3 = input.string('Group 3', 'Group name', group = g3)
// User Inputs - Bools
showsym1 = input.bool(true, '', group = g1, inline = '1' ), showsym1_ = input.bool(true, '', group = g2, inline = '1_' ), showsym1 = input.bool(true, '', group = g3, inline = '1' )
showsym2 = input.bool(true, '', group = g1, inline = '2' ), showsym2_ = input.bool(true, '', group = g2, inline = '2_' ), showsym2 = input.bool(true, '', group = g3, inline = '2' )
showsym3 = input.bool(true, '', group = g1, inline = '3' ), showsym3_ = input.bool(true, '', group = g2, inline = '3_' ), showsym3 = input.bool(true, '', group = g3, inline = '3' )
showsym4 = input.bool(true, '', group = g1, inline = '4' ), showsym4_ = input.bool(true, '', group = g2, inline = '4_' ), showsym4 = input.bool(true, '', group = g3, inline = '4' )
showsym5 = input.bool(true, '', group = g1, inline = '5' ), showsym5_ = input.bool(true, '', group = g2, inline = '5_' ), showsym5 = input.bool(true, '', group = g3, inline = '5' )
Tradingview Membership
13 May, 15:21
//@version=5
indicator("Multi-Asset Performance [Spaghetti] - By Leviathan", overlay=false, format = format.percent, max_lines_count = 31, max_boxes_count = 10, max_labels_count = 33)
// Groups
g0 = 'Options'
g1 = 'Asset Group 1'
g2 = 'Asset Group 2'
g3 = 'Asset group 3'
g4 = 'Table'
g5 = 'Other Settings'
// Tooltips
tt1 = 'Period (eg. 1 DAY) determines when the percentage change values reset and from where they get cumulated. Timeframe determines which timeframe candles are used in the calculation (leave this input as "Chart" unless you want to check the structure of higher timeframe change)'
tt2 = 'Select the data that should be displayed. You can view % changes in either price, open interest or on balance volume. You can also select which group of 30 assets should be displayed'
tt3 = 'Select the type of the visualization (lines, circles, areas, columns) and the coloring from 6 pre-prepared color palettes'
tt4 = 'Select the style and size of labels that display the asset name. You can also uncheck the checkbox to hide the labels'
tt5 = 'Smooth the values with a Simple Moving Average of custom length'
tt6 = 'Highlight top and bottom X plots based on performance of percentage change in a given period. Select the color of the plots that are shadowed'
tt7 = 'Select the mean of the asset group (average or first ticker on the list). You can also choose to plot the mean with a custom color by checking the checkbox'
tt8 = 'Display a vertical profile of how the assets are distributed around the mean. Profile can be moved left and right by adjusting the offset value.'
tt9 = 'Color the plots with a gradient based on max value, zero and min value.'
tt10 = 'Select the position and the size of the table'
tt11 = 'Select the size of table borders and table text'
tt12 = 'Select the length (number of historical bars) that is used for calculating the correlation and beta'
tt13 = 'Select the length (number of historical bars), that is used for calculating the Relative Strength Index'
tt14 = 'Select an exact point in time that is used as an anchor when Timestamp is selected as a period.'
tt15 = 'Select the width of the plots (eg. lines)'
tt16 = 'Select the offset (number of bars to the right) for labels'
tt17 = 'Select the horizontal size of the distribution profile.'
// User Inputs - General
tf2 = input.string('1 DAY', 'Periodββββββββ', options = ['Visible Range', 'Timestamp', '5 MIN', '15 MIN', '30 MIN', '45 MIN', '1 HOUR', '2 HOURS', '4 HOURS', '12 HOURS', '1 DAY', '2 DAYS', '3 DAYS', '1 WEEK', '2 WEEKS', '1 MONTH', '2 MONTHS', '3 MONTHS', '6 MONTHS', '1 YEAR'], inline = '1')
tf = input.timeframe('', '', inline = '1', tooltip = tt1)
data_type = input.string('Price', 'Dataββββββββββ', options = ['Price', 'OBV', 'Open Interest'], inline = '2')
gn = input.string('Group 1', '', options = ['Group 1', 'Group 2', 'Group 3'], inline = '2', tooltip = tt2)
disp = input.string('Lines', 'Appearanceβββ', options = ['Lines', 'Circles', 'Area', 'Columns'], inline = '3')
colpal = input.string('Palette 1', '', options = ['Palette 1', 'Palette 2', 'Palette 3', 'Palette 4', 'Palette 5', 'Palette 6'], inline = '3', tooltip = tt3)
// User Inputs - Options
showlbl = input.bool(true, 'Labelingββ', inline = 'a', group = g0)
lbltyp = input.string('Label', '', options = ['Label', 'Label and Line', 'Text Label'], inline = 'a', group = g0)
lblsize = input.string('Small', '', options = ['Tiny', 'Small', 'Normal', 'Auto'], inline = 'a', group = g0, tooltip = tt4)
smooth = input.bool(false, 'Smoothingββββββββββββββββ', inline = 'sma', group = g0)
len = input.int(5, '', inline = 'sma', group = g0, tooltip = tt5)
highlight = input.bool(false, 'Highlight βββββββββββββββββ', inline = 'hg', group = g0)
indicator("Multi-Asset Performance [Spaghetti] - By Leviathan", overlay=false, format = format.percent, max_lines_count = 31, max_boxes_count = 10, max_labels_count = 33)
// Groups
g0 = 'Options'
g1 = 'Asset Group 1'
g2 = 'Asset Group 2'
g3 = 'Asset group 3'
g4 = 'Table'
g5 = 'Other Settings'
// Tooltips
tt1 = 'Period (eg. 1 DAY) determines when the percentage change values reset and from where they get cumulated. Timeframe determines which timeframe candles are used in the calculation (leave this input as "Chart" unless you want to check the structure of higher timeframe change)'
tt2 = 'Select the data that should be displayed. You can view % changes in either price, open interest or on balance volume. You can also select which group of 30 assets should be displayed'
tt3 = 'Select the type of the visualization (lines, circles, areas, columns) and the coloring from 6 pre-prepared color palettes'
tt4 = 'Select the style and size of labels that display the asset name. You can also uncheck the checkbox to hide the labels'
tt5 = 'Smooth the values with a Simple Moving Average of custom length'
tt6 = 'Highlight top and bottom X plots based on performance of percentage change in a given period. Select the color of the plots that are shadowed'
tt7 = 'Select the mean of the asset group (average or first ticker on the list). You can also choose to plot the mean with a custom color by checking the checkbox'
tt8 = 'Display a vertical profile of how the assets are distributed around the mean. Profile can be moved left and right by adjusting the offset value.'
tt9 = 'Color the plots with a gradient based on max value, zero and min value.'
tt10 = 'Select the position and the size of the table'
tt11 = 'Select the size of table borders and table text'
tt12 = 'Select the length (number of historical bars) that is used for calculating the correlation and beta'
tt13 = 'Select the length (number of historical bars), that is used for calculating the Relative Strength Index'
tt14 = 'Select an exact point in time that is used as an anchor when Timestamp is selected as a period.'
tt15 = 'Select the width of the plots (eg. lines)'
tt16 = 'Select the offset (number of bars to the right) for labels'
tt17 = 'Select the horizontal size of the distribution profile.'
// User Inputs - General
tf2 = input.string('1 DAY', 'Periodββββββββ', options = ['Visible Range', 'Timestamp', '5 MIN', '15 MIN', '30 MIN', '45 MIN', '1 HOUR', '2 HOURS', '4 HOURS', '12 HOURS', '1 DAY', '2 DAYS', '3 DAYS', '1 WEEK', '2 WEEKS', '1 MONTH', '2 MONTHS', '3 MONTHS', '6 MONTHS', '1 YEAR'], inline = '1')
tf = input.timeframe('', '', inline = '1', tooltip = tt1)
data_type = input.string('Price', 'Dataββββββββββ', options = ['Price', 'OBV', 'Open Interest'], inline = '2')
gn = input.string('Group 1', '', options = ['Group 1', 'Group 2', 'Group 3'], inline = '2', tooltip = tt2)
disp = input.string('Lines', 'Appearanceβββ', options = ['Lines', 'Circles', 'Area', 'Columns'], inline = '3')
colpal = input.string('Palette 1', '', options = ['Palette 1', 'Palette 2', 'Palette 3', 'Palette 4', 'Palette 5', 'Palette 6'], inline = '3', tooltip = tt3)
// User Inputs - Options
showlbl = input.bool(true, 'Labelingββ', inline = 'a', group = g0)
lbltyp = input.string('Label', '', options = ['Label', 'Label and Line', 'Text Label'], inline = 'a', group = g0)
lblsize = input.string('Small', '', options = ['Tiny', 'Small', 'Normal', 'Auto'], inline = 'a', group = g0, tooltip = tt4)
smooth = input.bool(false, 'Smoothingββββββββββββββββ', inline = 'sma', group = g0)
len = input.int(5, '', inline = 'sma', group = g0, tooltip = tt5)
highlight = input.bool(false, 'Highlight βββββββββββββββββ', inline = 'hg', group = g0)
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Multi-Assets Performance [Spaghetti] by Leviathan
Multi-Assets Performance [Spaghetti] by Leviathan
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