Pink PantherThis strategy embodies elegance, speed, and intelligence.
🦄 Main Advantage: Combines key indicators (EMA, RSI, MACD, and Bollinger Bands) to gracefully adapt to any market changes, just like a panther.
💗 Feature: Like the iconic Pink Panther, this strategy skillfully identifies entry and exit points, even in chaotic market conditions.
Quote for inspiration:
“Patience and timing are the greatest allies of success.” — (Pink Panther, probably)
Indicators and strategies
Leonardo Pereira - Dynamic Levels"Leonardo Pereira - Dynamic Levels" é uma ferramenta desenvolvida por Leonardo Dias Pereira para traders que buscam análises precisas e objetivas no mercado financeiro. Este indicador identifica automaticamente níveis essenciais, como suporte, resistência, alvo e stop-loss, com base em cálculos dinâmicos e parâmetros personalizáveis, como risco percentual e alavancagem.
Com detecção automática de tendência (alta, baixa ou configurável manualmente), o script desenha linhas no gráfico para auxiliar na tomada de decisões estratégicas, fornecendo uma visão clara dos níveis críticos de preço. É ideal tanto para iniciantes quanto para traders experientes que desejam aprimorar suas operações com maior confiança e eficiência.
Recursos Principais:
Identificação automática de suporte, resistência, alvo e stop-loss.
Configuração de tendência (automática ou manual).
Personalização de risco percentual e alavancagem.
Atualização dinâmica das linhas no gráfico.
Indicação visual da tendência detectada.
Maximize seus resultados e simplifique sua análise com esta poderosa ferramenta de suporte à decisão!
MarketMagnet Algo//@version=5
indicator(" MarketMagnet Algo ", overlay = true, max_bars_back = 5000, max_labels_count = 500, max_lines_count = 500)
const bool DEBUG = false
const float epsilon = 0.02 / 100.0
const int showLastXPivots = 50
todayEnabled = input.bool(true, "Today ", group = "General Configuration", inline = "Today")
todayLineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "Today", display = display.none)
todayHighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "Today", display = display.none)
todayLowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "Today", display = display.none)
todayOpenLineColor = input.color(color.blue, "Open", group = "General Configuration", inline = "Today", display = display.none)
yesterdayEnabled = input.bool(true, "Yesterday ", group = "General Configuration", inline = "Yesterday")
yesterdayLineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "Yesterday", display = display.none)
yesterdayHighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "Yesterday", display = display.none)
yesterdayLowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "Yesterday", display = display.none)
yesterdayCloseLineColor = input.color(color.fuchsia, "Close", group = "General Configuration", inline = "Yesterday", display = display.none)
day3 = input.bool(false, "3rd Day ", group = "General Configuration", inline = "day3")
day3LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day3", display = display.none)
day3HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day3", display = display.none)
day3LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day3", display = display.none)
day4 = input.bool(false, "4th Day ", group = "General Configuration", inline = "day4")
day4LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day4", display = display.none)
day4HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day4", display = display.none)
day4LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day4", display = display.none)
day5 = input.bool(false, "5th Day ", group = "General Configuration", inline = "day5")
day5LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day5", display = display.none)
day5HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day5", display = display.none)
day5LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day5", display = display.none)
day6 = input.bool(false, "6th Day ", group = "General Configuration", inline = "day6")
day6LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day6", display = display.none)
day6HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day6", display = display.none)
day6LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day6", display = display.none)
day7 = input.bool(false, "7th Day ", group = "General Configuration", inline = "day7")
day7LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day7", display = display.none)
day7HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day7", display = display.none)
day7LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day7", display = display.none)
day8 = input.bool(false, "8th Day ", group = "General Configuration", inline = "day8")
day8LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day8", display = display.none)
day8HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day8", display = display.none)
day8LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day8", display = display.none)
day9 = input.bool(false, "9th Day ", group = "General Configuration", inline = "day9")
day9LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day9", display = display.none)
day9HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day9", display = display.none)
day9LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day9", display = display.none)
day10 = input.bool(false, "10th Day ", group = "General Configuration", inline = "day10")
day10LineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "day10", display = display.none)
day10HighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "day10", display = display.none)
day10LowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "day10", display = display.none)
preMarketEnabled = input.bool(false, "Pre-Market ", group = "General Configuration", inline = "premarket")
preMarketLineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "premarket", display = display.none)
preMarketHighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "premarket", display = display.none)
preMarketLowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "premarket", display = display.none)
previousMonthEnabled = input.bool(false, "Previous Month ", group = "General Configuration", inline = "month")
monthLineStyle = input.string("____", " ", options = , group = "General Configuration", inline = "month", display = display.none)
monthHighLineColor = input.color(color.green, "High", group = "General Configuration", inline = "month", display = display.none)
monthLowLineColor = input.color(color.red, "Low", group = "General Configuration", inline = "month", display = display.none)
pivotsEnabled = input.bool(false, "Enabled", group = "High & Low Pivots")
pivotRange = input.int(14, "Pivot Range", options = , group = "High & Low Pivots")
pivotHighColor = input.color(color.green, "High", group = "High & Low Pivots", inline = "style", display = display.none)
pivotLowColor = input.color(color.red, "Low", group = "High & Low Pivots", inline = "style", display = display.none)
textSizePivotIn = input.string("Normal", "Size", , group = "High & Low Pivots", inline = "style", display = display.none)
barOffset = input.int(20, "Text Offset", group = "Style Settings", display = display.none)
lineThickness = input.int(2, "Thickness", group = "Style Settings", options = , display = display.none)
extendLines = input.bool(true, "Extend Lines", group = "Style Settings", tooltip = "Enabled -> Extend lines infinitely. Disabled -> Clamp lines in their timestamps.", display = display.none)
showLineValues = input.bool(true, "Show Line Values", group = "Style Settings", display = display.none)
labelsAlign = input.string("Right", "Align Labels", options = , group = "Style Settings", display = display.none)
textColor = input.color(color.white, "Text Color", group = "Style Settings", inline = "text", display = display.none)
textSizeIn = input.string("Normal", "Size", , group = "Style Settings", inline = "text", display = display.none)
textSize = (textSizeIn == "Normal" ? size.normal : (textSizeIn == "Small" ? size.small : size.large))
textSizePivot = (textSizePivotIn == "Normal" ? size.normal : (textSizePivotIn == "Small" ? size.small : size.large))
type bInfo
float h = high
float l = low
float o = open
float c = close
int t = time
curBInfo = bInfo.new()
doValuesTouch (float value1, float value2) =>
if math.abs(value1 - value2) / ((value1 + value2) / 2.0) <= epsilon
true
else
false
f_newLine(_color, _lineStyle) => line.new(na, na, na, na, xloc.bar_time, width = lineThickness ,extend = extendLines ? extend.both : extend.none, color = _color, style = _lineStyle == "____" ? line.style_solid : _lineStyle == "----" ? line.style_dashed : line.style_dotted)
f_moveLine(_line, _x, _y, _x2) =>
line.set_xy1(_line, _x, _y)
line.set_xy2(_line, _x2, _y)
f_getInfo (timeframe) =>
request.security(syminfo.tickerid, timeframe, [curBInfo, curBInfo , curBInfo , curBInfo , curBInfo , curBInfo , curBInfo , curBInfo , curBInfo , curBInfo ], calc_bars_count = 30)
f_calculatePreMarketHighLow () =>
curIndex = 0
float preMarketHighF = 0
float preMarketLowF = -1
bool foundPreMarket = false
while (session.isfirstbar == false)
if session.ispremarket
foundPreMarket := true
preMarketHighF := math.max(preMarketHighF, high )
preMarketLowF := preMarketLowF == -1 ? low : math.min(preMarketLowF, low )
if not session.ispremarket and foundPreMarket
break
curIndex += 1
if curIndex > 4000
break
type lineInfo
string timeNames
string infos
float price
int startTime
int endTime
color col
string lStyle
line zone
label lbl
bool disabled = false
type pivot
bool isHigh = false
int index
float price
float atr
label textLabel
safeDeletePivot (pivot p) =>
label.delete(p.textLabel)
createLineInfo (string timeName, string info, float p, int t, int tend, color col, string sty) =>
newLI = lineInfo.new(array.new(0), array.new(0), p, t, tend, col, sty)
if not na(timeName)
newLI.timeNames.unshift(timeName)
if not na (info)
newLI.infos.unshift(info)
newLI
safeDeleteLineInfo (lineInfoF) =>
line.delete(lineInfoF.zone)
label.delete(lineInfoF.lbl)
var allLineInfos = array.new(0)
var allPivots = array.new(0)
extendedTicker = ticker.modify(syminfo.tickerid, session = session.extended)
= request.security(extendedTicker, "1", f_calculatePreMarketHighLow())
= f_getInfo("D")
= f_getInfo("M")
calculateLineInfos () =>
if allLineInfos.size() > 0
for i = 0 to allLineInfos.size() - 1
safeDeleteLineInfo(allLineInfos.get(i))
allLineInfos.clear()
if todayEnabled and not na(bInfo1)
allLineInfos.unshift(createLineInfo("Today", "High", bInfo1.h, bInfo1.t, time, todayHighLineColor, todayLineStyle))
allLineInfos.unshift(createLineInfo("Today", "Low", bInfo1.l, bInfo1.t, time, todayLowLineColor, todayLineStyle))
allLineInfos.unshift(createLineInfo("Today", "Open", bInfo1.o, bInfo1.t, time, todayOpenLineColor, todayLineStyle))
if yesterdayEnabled and not na(bInfo2)
allLineInfos.unshift(createLineInfo("Yesterday", "High", bInfo2.h, bInfo2.t, bInfo1.t, yesterdayHighLineColor, yesterdayLineStyle))
allLineInfos.unshift(createLineInfo("Yesterday", "Low", bInfo2.l, bInfo2.t, bInfo1.t, yesterdayLowLineColor, yesterdayLineStyle))
allLineInfos.unshift(createLineInfo("Yesterday", "Close", bInfo2.c, bInfo2.t, bInfo1.t, yesterdayCloseLineColor, yesterdayLineStyle))
if day3 and not na(bInfo3)
allLineInfos.unshift(createLineInfo("3rd Day", "High", bInfo3.h, bInfo3.t, bInfo2.t, day3HighLineColor, day3LineStyle))
allLineInfos.unshift(createLineInfo("3rd Day", "Low", bInfo3.l, bInfo3.t, bInfo2.t, day3LowLineColor, day3LineStyle))
if day4 and not na(bInfo4)
allLineInfos.unshift(createLineInfo("4th Day", "High", bInfo4.h, bInfo4.t, bInfo3.t, day4HighLineColor, day4LineStyle))
allLineInfos.unshift(createLineInfo("4th Day", "Low", bInfo4.l, bInfo4.t, bInfo3.t, day4LowLineColor, day4LineStyle))
if day5 and not na(bInfo5)
allLineInfos.unshift(createLineInfo("5th Day", "High", bInfo5.h, bInfo5.t, bInfo4.t, day5HighLineColor, day5LineStyle))
allLineInfos.unshift(createLineInfo("5th Day", "Low", bInfo5.l, bInfo5.t, bInfo4.t, day5LowLineColor, day5LineStyle))
if day6 and not na(bInfo6)
allLineInfos.unshift(createLineInfo("6th Day", "High", bInfo6.h, bInfo6.t, bInfo5.t, day6HighLineColor, day6LineStyle))
allLineInfos.unshift(createLineInfo("6th Day", "Low", bInfo6.l, bInfo6.t, bInfo5.t, day6LowLineColor, day6LineStyle))
if day7 and not na(bInfo7)
allLineInfos.unshift(createLineInfo("7th Day", "High", bInfo7.h, bInfo7.t, bInfo6.t, day7HighLineColor, day7LineStyle))
allLineInfos.unshift(createLineInfo("7th Day", "Low", bInfo7.l, bInfo7.t, bInfo6.t, day7LowLineColor, day7LineStyle))
if day8 and not na(bInfo8)
allLineInfos.unshift(createLineInfo("8th Day", "High", bInfo8.h, bInfo8.t, bInfo7.t, day8HighLineColor, day8LineStyle))
allLineInfos.unshift(createLineInfo("8th Day", "Low", bInfo8.l, bInfo8.t, bInfo7.t, day8LowLineColor, day8LineStyle))
if day9 and not na(bInfo9)
allLineInfos.unshift(createLineInfo("9th Day", "High", bInfo9.h, bInfo9.t, bInfo8.t, day9HighLineColor, day9LineStyle))
allLineInfos.unshift(createLineInfo("9th Day", "Low", bInfo9.l, bInfo9.t, bInfo8.t, day9LowLineColor, day9LineStyle))
if day10 and not na(bInfo10)
allLineInfos.unshift(createLineInfo("10th Day", "High", bInfo10.h, bInfo10.t, bInfo9.t, day10HighLineColor, day10LineStyle))
allLineInfos.unshift(createLineInfo("10th Day", "Low", bInfo10.l, bInfo10.t, bInfo9.t, day10LowLineColor, day10LineStyle))
if preMarketEnabled and not na(preMarketHigh) and not na(bInfo1)
allLineInfos.unshift(createLineInfo("Pre-Market", "High", preMarketHigh, bInfo1.t, time, preMarketHighLineColor, preMarketLineStyle))
allLineInfos.unshift(createLineInfo("Pre-Market", "Low", preMarketLow, bInfo1.t, time, preMarketLowLineColor, preMarketLineStyle))
if previousMonthEnabled and not na(mInfo2)
allLineInfos.unshift(createLineInfo("Previous Month", "High", mInfo2.h, mInfo2.t, mInfo1.t, monthLowLineColor, monthLineStyle))
allLineInfos.unshift(createLineInfo("Previous Month", "Low", mInfo2.l, mInfo2.t, mInfo1.t, monthHighLineColor, monthLineStyle))
calculateLineInfos()
combineLineInfos () =>
if allLineInfos.size() > 0
lastCombinations = 999
while lastCombinations > 0
lastCombinations := 0
for i = 0 to allLineInfos.size() - 1
curLI1 = allLineInfos.get(i)
for j = 0 to allLineInfos.size() - 1
curLI2 = allLineInfos.get(j)
if i == j
continue
if curLI1.disabled or curLI2.disabled
continue
if doValuesTouch(curLI1.price, curLI2.price) and extendLines
curLI1.disabled := true
curLI2.disabled := true
newLI = createLineInfo(na, na, curLI1.price, na, na, na, na)
if curLI1.timeNames.size() > 0
for a = 0 to curLI1.timeNames.size() - 1
newLI.timeNames.unshift(curLI1.timeNames.get(a))
for a = 0 to curLI1.infos.size() - 1
newLI.infos.unshift(curLI1.infos.get(a))
if curLI2.timeNames.size() > 0
for a = 0 to curLI2.timeNames.size() - 1
newLI.timeNames.unshift(curLI2.timeNames.get(a))
for a = 0 to curLI2.infos.size() - 1
newLI.infos.unshift(curLI2.infos.get(a))
newLI.startTime := math.min(curLI1.startTime, curLI2.startTime)
newLI.endTime := math.max(curLI1.endTime, curLI2.endTime)
newLI.col := curLI1.col
newLI.lStyle := curLI1.lStyle
allLineInfos.unshift(newLI)
lastCombinations += 1
renderPivot (pivot pivotF) =>
pivotF.textLabel := label.new(pivotF.index, pivotF.price + (pivotF.atr * 1 * (pivotF.isHigh ? 1 : -1)), str.tostring(pivotF.price, format.mintick), style = label.style_none, size = textSizePivot, textcolor = (pivotF.isHigh ? pivotHighColor : pivotLowColor))
renderLineInfo (lineInfoF) =>
safeDeleteLineInfo(lineInfoF)
if not lineInfoF.disabled
lineInfoF.zone := f_newLine(lineInfoF.col, lineInfoF.lStyle)
if lineInfoF.startTime == lineInfoF.endTime
lineInfoF.endTime += 1
f_moveLine(lineInfoF.zone, lineInfoF.startTime, lineInfoF.price, lineInfoF.endTime)
lblText = ""
if lineInfoF.timeNames.size() > 0
for i = 0 to lineInfoF.timeNames.size() - 1
lblText += lineInfoF.timeNames.get(i) + " "
lblText += lineInfoF.infos.get(i)
if i != lineInfoF.timeNames.size() - 1
lblText += " & "
if showLineValues
lblText += " (" + str.tostring(lineInfoF.price, format.mintick) + ")"
if extendLines
lineInfoF.lbl := label.new(labelsAlign == "Center" ? ((chart.right_visible_bar_time + chart.left_visible_bar_time) / 2) : (last_bar_index + barOffset), lineInfoF.price, textcolor = textColor, text = lblText, style = label.style_none, xloc = labelsAlign == "Center" ? xloc.bar_time : xloc.bar_index, size = textSize)
else
lineInfoF.lbl := label.new(labelsAlign == "Center" ? (lineInfoF.startTime + lineInfoF.endTime) / 2 : lineInfoF.endTime, lineInfoF.price, xloc = xloc.bar_time, textcolor = textColor, text = lblText, style = label.style_none, size = textSize)
renderLineInfos () =>
if allLineInfos.size() > 0
for i = 0 to allLineInfos.size() - 1
curLineInfo = allLineInfos.get(i)
renderLineInfo(curLineInfo)
renderPivots () =>
if allPivots.size() > 0
for i = 0 to allPivots.size() - 1
curPivot = allPivots.get(i)
safeDeletePivot(curPivot)
renderPivot(curPivot)
combineLineInfos()
renderLineInfos()
pivotHigh = ta.pivothigh(pivotRange, pivotRange)
pivotLow = ta.pivotlow(pivotRange, pivotRange)
curAtr = ta.atr(5)
if not na(pivotHigh)
allPivots.unshift(pivot.new(true, bar_index - pivotRange, pivotHigh, curAtr))
if not na(pivotLow)
allPivots.unshift(pivot.new(false, bar_index - pivotRange, pivotLow, curAtr))
if allPivots.size() > showLastXPivots
allPivots.remove(allPivots.size() - 1)
if barstate.islast
if pivotsEnabled
renderPivots()
// Get user input
sensitivity = input.float(2.8, " Sensitivity (0.5 - 10)", 0.5, 10, step=0.1)
emaEnergy = input.bool(true, "EMA Energy")
keltner_length = input(10, "Keltner Channel Length")
atrPeriod = input(10, "ATR Length")
factor = input.float(3.5, "Factor", step = 0.01)
// Keltner Channel function
keltner_channel(src, length) =>
ma = ta.sma(src, length)
rangec = high - low
upper = ma + rangec
lower = ma - rangec
// Modified Supertrend function using Keltner Channel
supertrend(_src, factor, atrLen, kel_length) =>
= keltner_channel(_src, kel_length)
rangec = upperKeltner - lowerKeltner
upperBand = _src + factor * rangec
lowerBand = _src - factor * rangec
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand
int direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(rangec )
direction := 1
else if prevSuperTrend == prevUpperBand
direction := close > upperBand ? -1 : 1
else
direction := close < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
// Get Components
ema1 = ta.ema(high, 9)
ema2 = ta.ema(high, 12)
ema3 = ta.ema(high, 15)
ema4 = ta.ema(high, 18)
ema5 = ta.ema(high, 21)
ema6 = ta.ema(high, 24)
ema7 = ta.ema(high, 27)
ema8 = ta.ema(high, 30)
ema9 = ta.ema(high, 33)
ema10 = ta.ema(high, 36)
ema11 = ta.ema(high, 39)
ema12 = ta.ema(high, 42)
ema13 = ta.ema(high, 45)
ema14 = ta.ema(high, 48)
ema15 = ta.ema(high, 51)
// Colors
green = #2BBC4D, red = #C51D0B
emaEnergyColor(ma) => emaEnergy ? (close >= ma ? green : red) : na
// Plots
plot(ema1, "", emaEnergyColor(ema1), editable=false)
plot(ema2, "", emaEnergyColor(ema2), editable=false)
plot(ema3, "", emaEnergyColor(ema3), editable=false)
plot(ema4, "", emaEnergyColor(ema4), editable=false)
plot(ema5, "", emaEnergyColor(ema5), editable=false)
plot(ema6, "", emaEnergyColor(ema6), editable=false)
plot(ema7, "", emaEnergyColor(ema7), editable=false)
plot(ema8, "", emaEnergyColor(ema8), editable=false)
plot(ema9, "", emaEnergyColor(ema9), editable=false)
plot(ema10, "", emaEnergyColor(ema10), editable=false)
plot(ema11, "", emaEnergyColor(ema11), editable=false)
plot(ema12, "", emaEnergyColor(ema12), editable=false)
plot(ema13, "", emaEnergyColor(ema13), editable=false)
plot(ema14, "", emaEnergyColor(ema14), editable=false)
plot(ema15, "", emaEnergyColor(ema15), editable=false)
= supertrend(close, sensitivity, 11, keltner_length)
bull = ta.crossover(close, supertrend)
bear = ta.crossunder(close, supertrend)
y1 = low - (ta.atr(30) * 2)
y2 = high + (ta.atr(30) * 2)
buy = bull ? label.new(bar_index, y1, "BUY CE", xloc.bar_index, yloc.price, green, label.style_label_up, color.white, size.normal) : na
sell = bear ? label.new(bar_index, y2, "BUY PE", xloc.bar_index, yloc.price, red, label.style_label_down, color.white, size.normal) : na
= ta.supertrend(factor, atrPeriod)
bodyMiddle = plot((open + close) / 2, display=display.none)
// Trend Catcher Indicator (Example)
ema100 = ta.ema(close, 10)
ema200 = ta.ema(close, 20)
trendCatcher = ta.crossover(ema100, ema200) ? 1 : ta.crossunder(ema100, ema200) ? -1 : 0
trendColor = trendCatcher == 1 ? color.rgb(90, 23, 102) : na
barcolor(trendColor)
// Colored candles
barcolor(color = close > supertrends ? color.rgb(102, 255, 0) : color.rgb(255, 0, 0))
// 添加警報條件
alertcondition(bull, title="Buy CE", message="Buy CE!")
alertcondition(bear, title="Buy PE", message="Buy PE!")
// Plot EMAs
plot(ema1, color=color.blue, title="EMA 9")
plot(ema2, color=color.orange, title="EMA 21")
plot(ema3, color=color.purple, title="EMA 61")
// Input settings
ccimomCross = input.string('CCI', 'Entry Signal Source', options= , tooltip='CCI or Momentum will be the final source of the Entry signal if selected.')
ccimomLength = input.int(10, minval=1, title='CCI/Momentum Length')
useDivergence = input.bool(true, title='Find Regular Bullish/Bearish Divergence', tooltip='If checked, it will only consider an overbought or oversold condition that has a regular bullish or bearish divergence formed inside that level.')
rsiOverbought = input.int(65, minval=1, title='RSI Overbought Level', tooltip='Adjusting the level to extremely high may filter out some signals especially when the option to find divergence is checked.')
rsiOversold = input.int(35, minval=1, title='RSI Oversold Level', tooltip='Adjusting this level extremely low may filter out some signals especially when the option to find divergence is checked.')
rsiLength = input.int(14, minval=1, title='RSI Length')
plotMeanReversion = input.bool(false, 'Plot Mean Reversion Bands on the chart', tooltip='This function doesn\'t affect the entry of signal but it suggests buying when the price is at the lower band, and then sell it on the next bounce at the higher bands.')
emaPeriod = input(200, title='Lookback Period (EMA)')
bandMultiplier = input.float(1.8, title='Outer Bands Multiplier', tooltip='Multiplier for both upper and lower bands')
// CCI and Momentum calculation
momLength = ccimomCross == 'Momentum' ? ccimomLength : 10
mom = close - close
cci = ta.cci(close, ccimomLength)
ccimomCrossUp = ccimomCross == 'Momentum' ? ta.cross(mom, 0) : ta.cross(cci, 0)
ccimomCrossDown = ccimomCross == 'Momentum' ? ta.cross(0, mom) : ta.cross(0, cci)
// RSI calculation
src = close
up = ta.rma(math.max(ta.change(src), 0), rsiLength)
down = ta.rma(-math.min(ta.change(src), 0), rsiLength)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - 100 / (1 + up / down)
oversoldAgo = rsi <= rsiOversold or rsi <= rsiOversold or rsi <= rsiOversold or rsi <= rsiOversold
overboughtAgo = rsi >= rsiOverbought or rsi >= rsiOverbought or rsi >= rsiOverbought or rsi >= rsiOverbought
// Regular Divergence Conditions
bullishDivergenceCondition = rsi > rsi and rsi < rsi
bearishDivergenceCondition = rsi < rsi and rsi > rsi
// Entry Conditions
longEntryCondition = ccimomCrossUp and oversoldAgo and (not useDivergence or bullishDivergenceCondition)
shortEntryCondition = ccimomCrossDown and overboughtAgo and (not useDivergence or bearishDivergenceCondition)
// Mean Reversion Indicator
meanReversion = plotMeanReversion ? ta.ema(close, emaPeriod) : na
stdDev = plotMeanReversion ? ta.stdev(close, emaPeriod) : na
upperBand = plotMeanReversion ? meanReversion + stdDev * bandMultiplier : na
lowerBand = plotMeanReversion ? meanReversion - stdDev * bandMultiplier : na
// Plotting
plotshape(longEntryCondition, title='BUY', style=shape.triangleup, text='B', location=location.belowbar, color=color.new(color.lime, 0), textcolor=color.new(color.white, 0), size=size.tiny)
plotshape(shortEntryCondition, title='SELL', style=shape.triangledown, text='S', location=location.abovebar, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), size=size.tiny)
plot(upperBand, title='Upper Band', color=color.new(color.fuchsia, 0), linewidth=1)
plot(meanReversion, title='Mean', color=color.new(color.gray, 0), linewidth=1)
plot(lowerBand, title='Lower Band', color=color.new(color.blue, 0), linewidth=1)
// Entry signal alerts
alertcondition(longEntryCondition, title='BUY Signal', message='Buy Entry Signal')
alertcondition(shortEntryCondition, title='SELL Signal', message='Sell Entry Signal')
alertcondition(longEntryCondition or shortEntryCondition, title='BUY or SELL Signal', message='Entry Signal')
// User Input To Enable / Disable, Either / Both Side Levels
bullishbreakout = input(true, title="Bullish Target & SL")
bearishbreakout = input(true, title="Bearish Target & SL")
// Identify High & Low for Selected Scripts
prevClose = request.security(syminfo.tickerid, "D", close )
is_newbar(res) => ta.change(time(res)) != 0
adopt(r, s) => request.security(syminfo.tickerid, r, s)
open_range_high = ta.valuewhen(is_newbar('D'),high,0)
open_range_low = ta.valuewhen(is_newbar('D'),low,0)
// Function to check if a candle is the 1:15 PM candle
is_115_candle() =>
hour == 13 and minute == 15
// Check if the current candle is the 1:15 PM candle
is_115_candle_current = is_115_candle()
// Plotting the candle highlight
bgcolor(is_115_candle_current ? color.new(color.blue, 80) : na)
// Marking high and low of the 1:15 PM candle
var float high_115_candle = na
var float low_115_candle = na
if is_115_candle_current and not is_115_candle_current
high_115_candle := high
low_115_candle := low
// Plotting high and low of the 1:15 PM candle
plot(high_115_candle, color=color.red, style=plot.style_circles, linewidth=2)
plot(low_115_candle, color=color.green, style=plot.style_circles, linewidth=2)
//rsi
mrsi = ta.rsi(close,14)
colorRsi = mrsi>55?color.green: mrsi<45?color.red:color.gray
//ADX
len = input.int(14, minval=1, title="DI Length")
lensig = input.int(14, title="ADX Smoothing", minval=1, maxval=50)
= ta.dmi(len, lensig)
colorADX = adx>25?color.rgb(33, 208, 243):color.gray
//creating the table
var testTable = table.new(position = position.top_right, columns = 4, rows = 2, border_width = 1, border_color = color.black, frame_width = 1, frame_color = color.black)
//column Headings
table.cell(table_id = testTable, column = 0, row = 0, text = " RSI ", bgcolor=color.aqua, text_color = color.white)
table.cell(table_id = testTable, column = 1, row = 0, text = " DI+ ", bgcolor=color.green, text_color = color.white)
table.cell(table_id = testTable, column = 2, row = 0, text = " DI- ", bgcolor=color.red, text_color = color.white)
table.cell(table_id = testTable, column = 3, row = 0, text = " ADX ", bgcolor=color.aqua, text_color = color.white)
//column values
table.cell(table_id = testTable, column = 0, row = 1, text = str.tostring(math.round(mrsi,0)) , bgcolor= color.aqua, text_color = color.white)
table.cell(table_id = testTable, column = 1, row = 1, text = str.tostring(math.round(diplus,0)) , bgcolor= color.green, text_color = color.white)// "RSI")//, bgcolor=color.red)
table.cell(table_id = testTable, column = 2, row = 1, text = str.tostring(math.round(diminus,0)) , bgcolor= color.red, text_color = color.white)// "DI+")//, bgcolor=color.red)
table.cell(table_id = testTable, column = 3, row = 1, text = str.tostring(math.round(adx,0)) , bgcolor= color.aqua, text_color = color.white)//"DI-")//, bgcolor=color.red)
// SmartMoneyConcept
string visual = "➞ Visuals Settings🔸"
string core = "➞ Main Core Settings 🔸"
int atrLen = 30
float mult = 0.3
float per = 10.0
float perc = close * (per/100)
float srdatr = ta.atr (atrLen) * mult
float band = math.min (srdatr, perc) /2
int sync = bar_index
var BINDEX = 0
var line Lines = array.new_line()
var label Labels = array.new_label()
float TotalVolume = array.new_float()
float Greenvolume = array.new_float()
float redvolume = array.new_float()
var ph = float(na)
var phL = int(na)
var pl = float(na)
float lowestValue = low
float HighValue = high
float Midhigh = high
float Midindex = bar_index
int lowestIndex = bar_index
int HighIndex = bar_index
float HH = low
int prd = input.int(30,"period",group = core)
int levs = input.int(24,"Volume Levels",tooltip = "Number of the Volume levels to check", group = core)
bool ShowVolume = input.bool(true,"Show Volume ❓ ",inline = "01",group = visual)
bool randomcolor = input.bool(false,"Random Coloring ❓ ",inline = "01",group = visual)
color Bull = input.color(color.new(#42f07f, 35),"1st",inline = "01",group = visual)
color Bear = input.color(color.new(#f37451, 70),"2nd",inline = "01",group = visual)
bool Showlines = input.bool(true,"Show Zigzag ❓ ",inline = "02",group = visual)
bool randomcolor1 = input.bool(false,"Random Coloring ❓ ",inline = "02",group = visual)
color LineZ = input.color(color.yellow,"",inline = "02",group = visual)
//~~~~~~~~~}
// ~~ Pivots {
pvtHi = ta.pivothigh(high,prd,prd)
pvtLo = ta.pivotlow(low,prd,prd)
if pvtHi
ph := high
phL:= sync
if pvtLo
pl:=low
Points = array.new_float(2,0)
Counter(lev,sup = true)=>
if sup
for i = 0 to 2000
max_bars_back(low,2000)
if low < lev and lev < close
array.set(Points,0,array.get(Points,0)+1)
Points.get(0)
else
for i = 0 to 2000
max_bars_back(high,2000)
if high > lev and lev > close
array.set(Points,1,array.get(Points,1)+1)
Points.get(1)
if barstate.islast
Count = (bar_index - phL)
// levs= math.floor(Count/3)
// levs= math.floor(24)
float VPlevels = array.new_float(levs+1)
var box VPboxes = array.new_box(levs+3)
var box VPboxes2 = array.new_box(levs+3)
int ticks = array.new_int(levs,0)
float Volumes = array.new_float(levs,0.0)
float SCR = array.new_float()
for i = 0 to Count
SCR.push(close )
for i = 1 to Count
if low <= lowestValue
lowestValue := low
lowestIndex := bar_index
if high >= HighValue
HighValue := high
HighIndex := bar_index
//
// M = bar_index + 135
// CC = int( (M - lowestIndex) / 2) s
Value = Counter(pl)
Value2 = Counter(HighValue,false)
max_bars_back(Value,2000)
max_bars_back(Value2,2000)
for i = 1 to 20
if high >= Midhigh
Midhigh := high
Midindex := bar_index
step = ( HighValue-lowestValue ) / levs
for i=0 to levs by 1
array.set(VPlevels,i, lowestValue + step * i)
Col=color.rgb(math.random(10,200),math.random(10,160),math.random(10,180))
Gcolo = color.rgb(math.random(25,32),math.random(40,200),math.random(15,100))
//color.rgb(9, 155, 99, 90)
var box BOX1 = na , box.delete(BOX1)
var box BOX2 = na , box.delete(BOX2)
LA = sync - HighIndex
labelplace = (170 + LA ) / 2
BOX1:=box.new(lowestIndex,lowestValue+ (band* 2),bar_index+170,lowestValue,bgcolor = color.rgb(9, 155, 99, 90),border_color = color.rgb(9, 155, 99, 50))
BOX2:=box.new(HighIndex,HighValue + (band* 2),bar_index+170,HighValue,bgcolor = color.rgb(255, 4, 4, 90) ,border_color = color.rgb(255, 4, 4, 50))
Labels.push(label.new(lowestIndex ,lowestValue - (band * 13),str.tostring(Value),style = label.style_none,textcolor= color.white,color = color.new(color.black, 100),xloc=xloc.bar_index,size= size.large))
Labels.push(label.new(bar_index+135 ,lowestValue - (band * 13),str.tostring(Value + 1),style = label.style_none,textcolor= color.white,color = color.new(color.black, 100),xloc=xloc.bar_index,size= size.large))
Labels.push(label.new(HighIndex + labelplace ,HighValue + (band * 10),str.tostring(Value2),style = label.style_none,textcolor= color.white,color = color.new(color.black, 100),xloc=xloc.bar_index,size= size.large))
if Showlines
// 2
Lines.push(line.new(HighIndex,HighValue,lowestIndex + 50,lowestValue+ (band* 2),color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
Lines.push(line.new(HighIndex + 2 ,HighValue,lowestIndex + 52,lowestValue+ (band* 2),color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
// 3
Lines.push(line.new(lowestIndex + 50,lowestValue+ (band* 2),HighIndex + (labelplace-2) ,HighValue,color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
Lines.push(line.new(lowestIndex + 52,lowestValue+ (band* 2),HighIndex + labelplace,HighValue,color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
// 4
Lines.push(line.new(HighIndex + (labelplace-2),HighValue,bar_index+133,lowestValue+ (band* 2),color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
Lines.push(line.new(HighIndex + labelplace,HighValue,bar_index+135,lowestValue+ (band* 2),color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
Lines.push(line.new(bar_index+135,lowestValue+ (band* 2),bar_index+170,HighValue,color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
Lines.push(line.new(bar_index+133,lowestValue+ (band* 2),bar_index+168,HighValue,color = randomcolor1 ? Col : LineZ,width = 1,style = line.style_dashed,xloc=xloc.bar_index))
if array.size(Lines) > 8
for i = 0 to 7
line.delete(Lines.shift())
if array.size(Labels) > 3
for i = 0 to 2
label.delete(Labels.shift())
for i=0 to array.size(SCR) -1
for x=0 to array.size(VPlevels) - 2 by 1
if low < array.get(VPlevels,x+1) and array.get(VPlevels,x) < close
array.set(ticks,x,array.get(ticks,x)+1)
array.set(Volumes,x,array.get(Volumes,x)+Counter(close ))
break
// label.new(bar_index+20 , low , str.tostring(ticks.size()))
if ShowVolume
for i = 0 to array.size(ticks) -2
box.delete(array.get(VPboxes,i))
array.set(VPboxes,i,
box.new(sync + 170+array.get(ticks,i),
array.get(VPlevels,i+1)+(band* 2),
sync + 170,
array.get(VPlevels,i)+(band* 2),
border_color = color.from_gradient(array.get(ticks,i),0,
array.max(ticks),
color.new(randomcolor ? Col : Bull , 70),
color.new(randomcolor ? Col : Bull , 35)),
bgcolor=color.from_gradient(array.get(ticks,i),0,
array.max(ticks),
color.new(randomcolor ? Col : Bull , 70),
color.new(randomcolor ? Col : Bull , 35)),
text=array.get(Volumes,i) > 0 ? str.tostring(array.get(Volumes,i),format.volume): "",
text_color=color.white))
for i = 0 to array.size(ticks) -2
box.delete(array.get(VPboxes2,i))
array.set(VPboxes2,i,
box.new(sync + 170-array.get(ticks,i),
array.get(VPlevels,i+1)+(band* 2),
sync + 170,
array.get(VPlevels,i)+(band* 2),
border_color = color.from_gradient(array.get(ticks,i),0,
array.max(ticks),
color.new(randomcolor ? Gcolo : Bear , 70),
color.new(randomcolor ? Gcolo : Bear , 35)),
bgcolor=color.from_gradient(array.get(ticks,i),0,
array.max(ticks),
color.new(randomcolor ? Gcolo : Bear , 70),
color.new(randomcolor ? Gcolo : Bear , 35)),
text=str.tostring(array.get(ticks,i)),
text_color=color.white))
// )
// AutoFibExtension
depthTooltip = "The minimum number of bars that will be taken into account when calculating the indicator."
depth = input.int(title="Depth", defval=10, minval=2, inline = "Pivots", tooltip=depthTooltip)
reverse = input(false, "Reverse", display = display.data_window)
var extendLeft = input(false, "Extend Left | Extend Right", inline = "Extend Lines", display = display.data_window)
var extendRight = input(true, "", inline = "Extend Lines", display = display.data_window)
var extending = extend.none
if extendLeft and extendRight
extending := extend.both
if extendLeft and not extendRight
extending := extend.left
if not extendLeft and extendRight
extending := extend.right
prices = input(true, "Show Prices", display = display.data_window)
levels = input(true, "Show Levels", inline = "Levels", display = display.data_window)
levelsFormat = input.string("Values", "", options = , inline = "Levels", display = display.data_window)
labelsPosition = input.string("Left", "Labels Position", options = , display = display.data_window)
backgroundTransparency = input.int(85, "Background Transparency", minval = 0, maxval = 100, display = display.data_window)
upperThreshold = 0.236
lowerThreshold = 1.0
import TradingView/ZigZag/7 as zigzag
pivots(src, length, isHigh) =>
if bar_index >= length
price = nz(src )
found = true
for i = 0 to length * 2
if (isHigh and src > price) or (not isHigh and src < price)
found := false
break
if found
chart.point.from_time(time , price)
update()=>
var line lineLastHL = na
var line lineLastLH = na
var line lineLast = na
var chart.point pivotsH = array.new()
var chart.point lastH = na
var chart.point pivotsL = array.new()
var chart.point lastL = na
var isHighLast = false
var float startPrice = na
var float endPrice = na
H = pivots(high, depth / 2, true)
L = pivots(low, depth / 2, false)
countPivotsH = array.size(pivotsH)
countPivotsL = array.size(pivotsL)
if countPivotsH > 0 and countPivotsL > 0
lastH := array.get(pivotsH, countPivotsH-1)
lastL := array.get(pivotsL, countPivotsL-1)
isHighLast := lastH.time > lastL.time
if isHighLast
if not na(H)
if H.price > lastH.price
array.set(pivotsH, countPivotsH-1, H)
H := na
else
if not na(L)
if L.price < lastL.price
array.set(pivotsL, countPivotsL-1, L)
L := na
if not na(H)
array.push(pivotsH, H)
if not na(L)
array.push(pivotsL, L)
if barstate.islast and array.size(pivotsH) > 0 and array.size(pivotsL) > 0
pivotsHCopy = array.copy(pivotsH)
pivotsLCopy = array.copy(pivotsL)
while array.size(pivotsHCopy) > 0 and array.size(pivotsLCopy) > 0
lastH := array.pop(pivotsHCopy)
lastL := array.pop(pivotsLCopy)
isHighLast := lastH.time > lastL.time
pivots = isHighLast ? pivotsHCopy : pivotsLCopy
for i = array.size(pivots)-1 to 0
if i < 0
break
p = array.get(pivots, i)
if p.time < lastL.time
break
betterPrice = isHighLast ? p.price > lastH.price : p.price < lastL.price
if p.price > lastH.price
lastH := array.pop(pivots)
else
array.remove(pivots, i)
if array.size(pivotsHCopy) == 0 or array.size(pivotsLCopy) == 0
break
isHighLast := lastH.time > lastL.time
pivots := isHighLast ? pivotsHCopy : pivotsLCopy
prevPivot = array.get(pivots, array.size(pivots)-1)
startPrice := prevPivot.price
if isHighLast
endPrice := lastL.price
diff = math.abs(startPrice - endPrice)
if lastH.price > endPrice + diff * lowerThreshold or lastH.price < endPrice + diff * upperThreshold
array.push(pivotsLCopy, lastL)
continue
line.delete(lineLastHL)
line.delete(lineLastLH)
lineLastHL := line.new(prevPivot, lastL, color=color.red, width=1, style=line.style_dashed, xloc = xloc.bar_time)
lineLastLH := line.new(lastL, lastH, color=color.green, width=1, style=line.style_dashed, xloc = xloc.bar_time)
lineLast := lineLastLH
else
endPrice := lastH.price
diff = math.abs(startPrice - endPrice)
if lastL.price < endPrice - diff * lowerThreshold or lastL.price > endPrice - diff * upperThreshold
array.push(pivotsHCopy, lastH)
continue
line.delete(lineLastHL)
line.delete(lineLastLH)
lineLastLH := line.new(prevPivot, lastH, color=color.red, width=1, style=line.style_dashed, xloc = xloc.bar_time)
lineLastHL := line.new(lastH, lastL, color=color.green, width=1, style=line.style_dashed, xloc = xloc.bar_time)
lineLast := lineLastHL
break
diff = (isHighLast ? -1 : 1) * math.abs(startPrice - endPrice)
offset = isHighLast ? line.get_y1(lineLastLH) - line.get_y2(lineLastLH) : line.get_y1(lineLastHL) - line.get_y2(lineLastHL)
offset := (isHighLast ? -1 : 1) * math.abs(offset)
= update()
_draw_line(price, col) =>
var id = line.new(time, price, time, price, color=col, width=1, extend=extending, xloc = xloc.bar_time)
if not na(lineLast)
line.set_xy1(id, line.get_x1(lineLast), price)
line.set_xy2(id, line.get_x2(lineLast), price)
id
_draw_label(price, txt, txtColor) =>
if not na(price)
x = labelsPosition == "Left" ? line.get_x1(lineLast) : not extendRight ? line.get_x2(lineLast) : time
labelStyle = labelsPosition == "Left" ? label.style_label_right : label.style_label_left
align = labelsPosition == "Left" ? text.align_right : text.align_left
labelsAlignStrLeft = txt + ' '
labelsAlignStrRight = ' ' + txt + ' '
labelsAlignStr = labelsPosition == "Left" ? labelsAlignStrLeft : labelsAlignStrRight
var id = label.new(x=x, y=price, text=labelsAlignStr, textcolor=txtColor, style=labelStyle, textalign=align, color=#00000000, xloc = xloc.bar_time)
label.set_xy(id, x, price)
label.set_text(id, labelsAlignStr)
label.set_textcolor(id, txtColor)
_wrap(txt) =>
"(" + str.tostring(txt, format.mintick) + ")"
_label_txt(level, price) =>
if not na(price)
l = levelsFormat == "Values" ? str.tostring(level) : str.tostring(level * 100) + "%"
(levels ? l : "") + (prices ? _wrap(price) : "")
_crossing_level(sr, r) =>
(r > sr and r < sr ) or (r < sr and r > sr )
processLevel(show, value, colorL, lineIdOther) =>
float m = value
r = endPrice + ((reverse ? -1 : 1) * diff * m)
if show
lineId = _draw_line(r, colorL)
_draw_label(r, _label_txt(m, r), colorL)
if _crossing_level(close, r)
alert("Autofib: " + syminfo.ticker + " crossing level " + str.tostring(value))
if not na(lineIdOther)
linefill.new(lineId, lineIdOther, color = color.new(colorL, backgroundTransparency))
lineId
else
lineIdOther
show_0 = input(true, "", inline = "Level0", display = display.data_window)
value_0 = input(0, "", inline = "Level0", display = display.data_window)
color_0 = input(#787b86, "", inline = "Level0", display = display.data_window)
show_0_236 = input(true, "", inline = "Level0", display = display.data_window)
value_0_236 = input(0.236, "", inline = "Level0", display = display.data_window)
color_0_236 = input(#f44336, "", inline = "Level0", display = display.data_window)
show_0_382 = input(true, "", inline = "Level1", display = display.data_window)
value_0_382 = input(0.382, "", inline = "Level1", display = display.data_window)
color_0_382 = input(#81c784, "", inline = "Level1", display = display.data_window)
show_0_5 = input(true, "", inline = "Level1", display = display.data_window)
value_0_5 = input(0.5, "", inline = "Level1", display = display.data_window)
color_0_5 = input(#4caf50, "", inline = "Level1", display = display.data_window)
show_0_618 = input(true, "", inline = "Level2", display = display.data_window)
value_0_618 = input(0.618, "", inline = "Level2", display = display.data_window)
color_0_618 = input(#009688, "", inline = "Level2", display = display.data_window)
show_0_65 = input(false, "", inline = "Level2", display = display.data_window)
value_0_65 = input(0.65, "", inline = "Level2", display = display.data_window)
color_0_65 = input(#009688, "", inline = "Level2", display = display.data_window)
show_0_786 = input(true, "", inline = "Level3", display = display.data_window)
value_0_786 = input(0.786, "", inline = "Level3", display = display.data_window)
color_0_786 = input(#64b5f6, "", inline = "Level3", display = display.data_window)
show_1 = input(true, "", inline = "Level3", display = display.data_window)
value_1 = input(1, "", inline = "Level3", display = display.data_window)
color_1 = input(#787b86, "", inline = "Level3", display = display.data_window)
show_1_272 = input(false, "", inline = "Level4", display = display.data_window)
value_1_272 = input(1.272, "", inline = "Level4", display = display.data_window)
color_1_272 = input(#81c784, "", inline = "Level4", display = display.data_window)
show_1_414 = input(false, "", inline = "Level4", display = display.data_window)
value_1_414 = input(1.414, "", inline = "Level4", display = display.data_window)
color_1_414 = input(#f44336, "", inline = "Level4", display = display.data_window)
show_1_618 = input(true, "", inline = "Level5", display = display.data_window)
value_1_618 = input(1.618, "", inline = "Level5", display = display.data_window)
color_1_618 = input(#2962ff, "", inline = "Level5", display = display.data_window)
show_1_65 = input(false, "", inline = "Level5", display = display.data_window)
value_1_65 = input(1.65, "", inline = "Level5", display = display.data_window)
color_1_65 = input(#2962ff, "", inline = "Level5", display = display.data_window)
show_2_618 = input(true, "", inline = "Level6", display = display.data_window)
value_2_618 = input(2.618, "", inline = "Level6", display = display.data_window)
color_2_618 = input(#f44336, "", inline = "Level6", display = display.data_window)
show_2_65 = input(false, "", inline = "Level6", display = display.data_window)
value_2_65 = input(2.65, "", inline = "Level6", display = display.data_window)
color_2_65 = input(#f44336, "", inline = "Level6", display = display.data_window)
show_3_618 = input(true, "", inline = "Level7", display = display.data_window)
value_3_618 = input(3.618, "", inline = "Level7", display = display.data_window)
color_3_618 = input(#9c27b0, "", inline = "Level7", display = display.data_window)
show_3_65 = input(false, "", inline = "Level7", display = display.data_window)
value_3_65 = input(3.65, "", inline = "Level7", display = display.data_window)
color_3_65 = input(#9c27b0, "", inline = "Level7", display = display.data_window)
show_4_236 = input(true, "", inline = "Level8", display = display.data_window)
value_4_236 = input(4.236, "", inline = "Level8", display = display.data_window)
color_4_236 = input(#e91e63, "", inline = "Level8", display = display.data_window)
show_4_618 = input(false, "", inline = "Level8", display = display.data_window)
value_4_618 = input(4.618, "", inline = "Level8", display = display.data_window)
color_4_618 = input(#81c784, "", inline = "Level8", display = display.data_window)
show_neg_0_236 = input(false, "", inline = "Level9", display = display.data_window)
value_neg_0_236 = input(-0.236, "", inline = "Level9", display = display.data_window)
color_neg_0_236 = input(#f44336, "", inline = "Level9", display = display.data_window)
show_neg_0_382 = input(false, "", inline = "Level9", display = display.data_window)
value_neg_0_382 = input(-0.382, "", inline = "Level9", display = display.data_window)
color_neg_0_382 = input(#81c784, "", inline = "Level9", display = display.data_window)
show_neg_0_618 = input(false, "", inline = "Level10", display = display.data_window)
value_neg_0_618 = input(-0.618, "", inline = "Level10", display = display.data_window)
color_neg_0_618 = input(#009688, "", inline = "Level10", display = display.data_window)
show_neg_0_65 = input(false, "", inline = "Level10", display = display.data_window)
value_neg_0_65 = input(-0.65, "", inline = "Level10", display = display.data_window)
color_neg_0_65 = input(#009688, "", inline = "Level10", display = display.data_window)
lineId0 = processLevel(show_neg_0_65, value_neg_0_65, color_neg_0_65, line(na))
lineId1 = processLevel(show_neg_0_618, value_neg_0_618, color_neg_0_618, lineId0)
lineId2 = processLevel(show_neg_0_382, value_neg_0_382, color_neg_0_382, lineId1)
lineId3 = processLevel(show_neg_0_236, value_neg_0_236, color_neg_0_236, lineId2)
lineId4 = processLevel(show_0, value_0, color_0, lineId3)
lineId5 = processLevel(show_0_236, value_0_236, color_0_236, lineId4)
lineId6 = processLevel(show_0_382, value_0_382, color_0_382, lineId5)
lineId7 = processLevel(show_0_5, value_0_5, color_0_5, lineId6)
lineId8 = processLevel(show_0_618, value_0_618, color_0_618, lineId7)
lineId9 = processLevel(show_0_65, value_0_65, color_0_65, lineId8)
lineId10 = processLevel(show_0_786, value_0_786, color_0_786, lineId9)
lineId11 = processLevel(show_1, value_1, color_1, lineId10)
lineId12 = processLevel(show_1_272, value_1_272, color_1_272, lineId11)
lineId13 = processLevel(show_1_414, value_1_414, color_1_414, lineId12)
lineId14 = processLevel(show_1_618, value_1_618, color_1_618, lineId13)
lineId15 = processLevel(show_1_65, value_1_65, color_1_65, lineId14)
lineId16 = processLevel(show_2_618, value_2_618, color_2_618, lineId15)
lineId17 = processLevel(show_2_65, value_2_65, color_2_65, lineId16)
lineId18 = processLevel(show_3_618, value_3_618, color_3_618, lineId17)
lineId19 = processLevel(show_3_65, value_3_65, color_3_65, lineId18)
lineId20 = processLevel(show_4_236, value_4_236, color_4_236, lineId19)
lineId21 = processLevel(show_4_618, value_4_618, color_4_618, lineId20)
//=====Inputs
//____Source Inputs allowing for non-price inputs such as an oscillator
hi_ = input.source(high,"High variable input",inline="source",group="Source")
lo_ = input.source(low,"Low variable input",inline="source",group="Source")
track_var = input.source(hlc3,title="Value to use to locate levels",group="Source")
//____Presentation related inputs
bool use_vis = input.bool(false,"Use Visible range",tooltip="Limit lines drawn to the pane visible range",group="Pivots",inline="p0")
bool use_fibs = input.bool(false,"Use Fibs vs Divide by 2",tooltip="Fibs Used: 0.236, 0.382, 0.5, 0.618, 0.786",group="Pivots",inline="p0")
int layer_to_show = input.int(2,"Layers",minval=0,maxval=10,group="Pivots",tooltip="Increasing will further subdivid the range")-1
int offset_lastbar = input.int(defval=5,minval=0,maxval=300,title="Offset to last bar",group="Pivots",inline="p1")
int l_len = input.int(50,"Root layer length",group="Pivots",inline="p1",tooltip="Higher level lengths will be a multiple>1 of this length")
bool show_labels = input.bool(false,title="Show Labels",group="Labels",inline="lbl1")
bool label_info = input.bool(false,"Show value vs ratio",group="Labels",inline="lbl1")
int label_layer_lim = input.int(2,title="Layer limit",group="Labels",inline="lbl2")
bool show_only_50 = input.bool(false,"Show mid_points for layers above limit ",group="Labels",inline="lbl2")
string label_location = input.string("Center",title="Location",options= ,group="Labels",inline="lbl3")
string label_string = input.string("Center",title="Orientation",options= ,group="Labels",inline="lbl3")
string label_txt_size = input.string('Normal',"Text Size",options= ,group="Labels",inline="lbl3")
//==== UDTs and Methods
//___ Detailed layer UDT - a wrapper for a map
type level
map level_data
//____ Pivot UDT
type cPivot
bool recalc = false
bool show_labels = false
bool label_info = false
bool new_variable_location = false
int line_length = 0
int label_offset = 0
int label_limit = 0
float layer_mult = 0
float current_top
float current_bot
string label_txt_size = size.auto
string label_style
string label_loc
map level_groups
map level_color
map level_label
array lines_
array labels_
// @function Finds levels by drilling down and iterating to desired layer
// @param this (cPivot) UDT for the pivots
// @param hi (float) high value variable
// @param lo (float) low value variable
// @param tracking_x (float) value to be used to find levels in proximity
// @param layer (int) drill down layer
// @returns (void) all maps stored in UDT
method get_levels(cPivot this,float hi,float lo,float tracking_x_, int layer)=>
var Max_H=0.
var Min_L=10E10
=request.security(syminfo.tickerid,"W", ,lookahead=barmerge.lookahead_off)
Max_H := math.max(Max_H,nz(htf_max,hi_),hi_)
Min_L := math.min(Min_L,nz(htf_min,lo_),lo_)
change_high = nz(ta.change(Max_H))!=0
change_low = nz(ta.change(Min_L))!=0
this.recalc := change_low or change_high or bar_index==120
top_line =0.
bot_line =0.
//__If the bar_index==120 to avoid potential issues with a range of 0 at bar_index==0
//__or if there is a change in the ATH or ATL
if this.recalc
this.level_groups.clear()
one_before_levels=map.new()
for i=0 to layer
new_levels = map.new()
if i==0
top_line := Max_H
bot_line := Min_L
else
levels_array = one_before_levels.values()
for in levels_array
if tracking_x_>= level_
bot_line := level_
if idx>0
top_line := levels_array.get(idx-1)
else
top_line := levels_array.get(idx)
break
range_ = top_line - bot_line
key_array = this.level_color.keys()
for fib_ratio in key_array
level_calc = math.round_to_mintick(bot_line+fib_ratio*(range_))
new_levels.put(fib_ratio,level_calc)
this.level_groups.put(i,level.new(new_levels))
one_before_levels := new_levels.copy()
this.current_top := top_line
this.current_bot := bot_line
this.new_variable_location := true
// end recalc
//Check if the tracking_x location changed to a different map and if it did then redo the lower layer maps
this.new_variable_location := (tracking_x_> this.current_top or tracking_x_< this.current_bot)
// only refresh levels if the variable location change requires it
if not(this.recalc) and this.new_variable_location and bar_index>120
one_before_levels = this.level_groups.get(0).level_data.copy()
this.level_groups.clear()
this.level_groups.put(0,level.new(one_before_levels))
for i=1 to layer
new_levels = map.new()
levels_array= one_before_levels.values()
for in levels_array
if tracking_x_>= level_
bot_line := level_
if idx>0
top_line := levels_array.get(idx-1)
else
top_line := levels_array.get(idx)
break
range_ = top_line - bot_line
key_array = this.level_color.keys()
for fib_ratio in key_array
level_calc = math.round_to_mintick(bot_line+fib_ratio*(range_))
new_levels.put(fib_ratio,level_calc)
this.level_groups.put(i,level.new(new_levels))
if i
//Refresh lines and labels if either ATH/ATL changed or teh variable location moved to a new zone
if bar_index>120 and (this.recalc or this.new_variable_location)
label_map=map.new()
label_map.clear()
for element in this.lines_
line.delete(element)
for element in this.labels_
label.delete(element)
this.lines_.clear()
this.labels_.clear()
for i=0 to layer
j= layer - i
layer_adj = (1+ i* this.layer_mult)
x1_offset = math.round(this.line_length*layer_adj)
x1_coord = math.max(0,bar_index- x1_offset)
lab_layer = (1+ j* this.layer_mult)
x1_lab_offset= math.round(this.line_length*lab_layer)
x1_lab_coord = math.max(0,bar_index-x1_lab_offset)
x2_coord = bar_index+this.label_offset
ln_width = layer-j
x2_lab_coord = switch this.label_loc
"Right" => x2_coord+ math.round(this.label_offset*lab_layer)
"Left" => x1_lab_coord
"Center" => x1_lab_coord+ int(x1_lab_offset/2)
lvl_str = "L"+str.tostring(i+1)+": "
// Label drawing
if this.show_labels
for key_ in this.level_groups.get(i).level_data.keys()
element = this.level_groups.get(i).level_data.get(key_)
text_ = this.label_info? str.tostring(math.round_to_mintick(element)): this.level_label.get(key_)
conditions_ = (i+1<= this.label_limit or (i+1> this.label_limit and show_only_50 and key_==0.5)) and (element>= 0.98*vis_lo and element<=1.02*vis_hi or vis_range_off)
if na(label_map.get(element)) and conditions_
this.labels_.push(label.new(x2_lab_coord,element,text=lvl_str+text_,color=this.level_color.get(key_), textcolor=color.black,style=this.label_style,size=this.label_txt_size))
label_map.put(element,1)
// Line drawing
for key_ in this.level_groups.get(j).level_data.keys()
element = this.level_groups.get(j).level_data.get(key_)
if (element>= 0.98*vis_lo and element<=1.02*vis_hi) or vis_range_off
this.lines_.push(line.new(x1_coord,element,x2_coord,element,color=this.level_color.get(key_),width=ln_width))
//Only update the x coordinate if the levels have not changed or the variabel did not force a change
if bar_index>120 and not(this.recalc) and not(this.new_variable_location)
if this.show_labels
for label_ in this.labels_
label_.set_x(label_.get_x()+1)
// Line drawing
for line_ in this.lines_
line_.set_x1(line_.get_x1()+1)
line_.set_x2(line_.get_x2()+1)
//==== Execution
var clone_pivot = cPivot.new(label_limit=label_layer_lim,label_loc=label_location,label_info=label_info, show_labels=show_labels, level_color=map.new(), level_label=map.new(), level_groups =map.new(),lines_=array.new(),labels_=array.new(), layer_mult=1.25,label_offset=offset_lastbar, line_length=l_len)
//___One time bar index at 0 execution and setup.
if bar_index==0
clone_pivot.label_txt_size := switch label_txt_size
"Tiny" => size.tiny
"Small" => size.small
"Normal"=> size.normal
"Large" => size.large
=> size.auto
clone_pivot.label_style := switch label_location
"Right"=>
switch label_string
"Center" => label.style_label_left
"Above" => label.style_label_lower_left
"Below" => label.style_label_upper_left
"Center"=>
switch label_string
"Center" => label.style_label_center
"Above" => label.style_label_down
"Below" => label.style_label_up
"Left"=>
switch label_string
"Center" => label.style_label_right
"Above" => label.style_label_lower_right
"Below" => label.style_label_upper_right
//maps are not ordered but we will put (or push in array terms) the ratios in
//descending order since in the method it will be needed in that order
if use_fibs
clone_pivot.level_color.put(1.0,color.white)
clone_pivot.level_color.put(0.7864,color.rgb(138, 141, 151))
clone_pivot.level_color.put(0.618,color.silver)
clone_pivot.level_color.put(0.5,color.yellow)
clone_pivot.level_color.put(0.382,color.silver)
clone_pivot.level_color.put(0.236,color.rgb(138, 141, 151))
clone_pivot.level_color.put(0,color.white)
clone_pivot.level_label.put(1.0,'top')
clone_pivot.level_label.put(0.7864,'0.786')
clone_pivot.level_label.put(0.618,'0.618')
clone_pivot.level_label.put(0.5,'0.5')
clone_pivot.level_label.put(0.382,'0.386')
clone_pivot.level_label.put(0.236,'0.236')
clone_pivot.level_label.put(0,'bot')
else
clone_pivot.level_color.put(1.0,color.white)
clone_pivot.level_color.put(0.75,color.rgb(138, 141, 151))
clone_pivot.level_color.put(0.5,color.yellow)
clone_pivot.level_color.put(0.25,color.rgb(138, 141, 151))
clone_pivot.level_color.put(0,color.white)
clone_pivot.level_label.put(1.0,'top')
clone_pivot.level_label.put(0.75,'0.75')
clone_pivot.level_label.put(0.5,'0.5')
clone_pivot.level_label.put(0.25,'0.25')
clone_pivot.level_label.put(0.,'bot')
//=== Get visible chart information to limit what is drawn
visible_bars = (chart.right_visible_bar_time - chart.left_visible_bar_time)/(1000*timeframe.in_seconds())
if bar_index==0
visible_bars:= 3000
max_hi = nz(ta.highest(visible_bars,3000),hi_)
min_lo = nz(ta.lowest(visible_bars,3000),lo_)
visible_hi = nz(ta.highest(hi_, visible_bars),max_hi)
visible_lo = nz(ta.lowest(lo_, visible_bars),min_lo)
//___ Method calls on each bar
clone_pivot.get_levels(hi_,lo_,track_var,layer_to_show)
clone_pivot.draw_pivots(layer_to_show,visible_hi,visible_lo,not(use_vis))
// While it seemed like a nice idea at the time, having separately-configurable upper and lower bands just doesn't really seem that useful as 90% of the time the settings for both are the same.
// Therefore, We're going to simplify the config to make these settings unified for both bands, as it would otherwise just add even more confusion with the addition of take-profit bands as well...
//
// atrMultiplierUpper = input.float(title='ATR Upper Band Scale Factor', defval=2.5, step=0.1, minval=0.01, group="ATR Upper Band Settings", tooltip="Scaling factor (aka multiplier) for the ATR to use for plotting the ATR bands. " +
// "This will usually be between 1 and 3.")
// srcUpper = input.source(title='ATR Upper Offset Source', defval=close, group="ATR Upper Band Settings", tooltip="This setting determines the offset point for ATR bands. " +
// "For this band, 'high' and 'close' (default) are generally the most appropriate values.")
//
atrMultiplier = input.float(title='ATR Band Scale Factor', defval=2.5, step=0.1, minval=0.01, group="ATR Bands Standard Settings", tooltip="Scaling factor (aka multiplier) for the ATR to use for plotting the ATR bands. " +
"This will usually be between 1 and 3. Default: 2.5")
// On second thought, I'm going to nix this setting and force it to be the "close" source. Having the ability to offset based on the wicks was a nice idea, but doesn't really seem to have any notable practical application.
atrSourceRef = "close"
//atrSourceRef = input.string(title='ATR Upper Offset Source', defval="close", options= , group="ATR Bands Standard Settings", tooltip="This setting determines the offset point for ATR bands. " +
// "The default value 'close' should be your go-to, but 'wicks' might provide a bit more breathing room in securities that tend to have large wicks.")
//
// See above - these are deprecated and no longer used...
//
// atrMultiplierLower = input.float(title='ATR Lower Band Scale Factor', defval=2.5, step=0.1, minval=0.01, group="ATR Lower Band Settings", tooltip="Scaling factor (aka multiplier) for the ATR to use for plotting the ATR bands. " +
// "This will usually be between 1 and 3.")
// srcLower = input.source(title='ATR Lower Offset Source', defval=close, group="ATR Lower Band Settings", tooltip="This setting determines the offset point for ATR bands. " +
// "For this band, 'low' and 'close' (default) are generally the most appropriate values.")
//
//
// Take-Profit band settings
showTPBands = input.bool(title="Show opposite bands for take-profit zones", defval=false, tooltip="If enalbled, the existing ATR bands will be treated as 'stop-loss' bands, and 'take-profit' bands will be plotted " +
"to depict potential take-profit targets that are scaled based on the 'stop-loss' band and an additional reward/risk scaling factor (see below). Default: Unchecked", group="Take-Profit Settings")
tpScaleFactor = input.float(title="Take-Profit Scale Factor", defval=1.5, minval=1, step=0.1, tooltip="This is a secondary scaling factor used based on the 'stop-loss' ATR bands to calculate and plot a potential take-profit target. " +
"The easiest way to think of this is as a desired reward/risk ratio, where the primary ATR Bands
Magical LineUsage:
1. Import into your trading platform
2. Magic line = (Previous High + Previous Low + Previous Close) / 3
3. Buy signal when price crosses above magic line
4. Sell signal when price crosses below magic line
Bollinger Bands Strategy Low InvestHere is a basic trading strategy for ZEREBRO/USDT in Pine Script based on Bollinger Bands. This strategy sets buy and sell signals and can be automatically linked to Bybit via TradingView.
Bollinger Strategy
This strategy uses Bollinger Bands to generate buy and sell signals.
Started with 86 USDT and 52 Zerebro.
JCM_MadridThis indicator provides dynamic bar coloring and buy/sell signals based on EMA relationships and price momentum. It allows traders to visually identify trend changes and potential trade opportunities directly on the chart.
Indicator Basics:
Name: The script is titled "JCM_Madrid".
Overlay: It overlays its calculations and outputs directly on the price chart.
User Inputs:
-Range: Defines the length of the EMA (Exponential Moving Average).
-Ref-1 and Ref-2: Set reference lengths for secondary EMAs used in the calculations.
-Source: The price data source for EMA calculations (e.g., close, open, high, low).
-Enable Buy/Sell: Boolean toggles to activate or deactivate buy and sell signals.
Calculations:
EMA Value: Computes the main EMA based on the source and Range.
CloseMA: The difference between the close price and the EMA.
SqzMA: The difference between a secondary EMA (Ref-1) and the main EMA.
RefMA: The difference between another secondary EMA (Ref-2) and the main EMA.
Bar Coloring:
Bars are colored based on the relationship between SqzMA and CloseMA:
Purple: When SqzMA > CloseMA.
Blue: When SqzMA < CloseMA.
Buy/Sell Signals:
A Buy Signal is generated when:
CloseMA crosses from below to above 0.
The close price is higher than the previous close.
Buy signals are enabled.
A Sell Signal is generated when:
CloseMA crosses from above to below 0.
The close price is lower than the previous close.
Sell signals are enabled.
Signals are displayed as labels on the chart:
"Buy": Green label below the candle.
"Sell": Yellow label below the candle
Supertrend + KAMA Long StrategyThis strategy combines Supertrend and Kaufman Adaptive Moving Average (KAMA) indicators to identify long positions and manage stop-loss conditions effectively.
**Supertrend**: Determines the trend direction and helps identify entry and exit points.
**KAMA**: Adapts dynamically to market volatility and confirms trend reversals.
The strategy enters a long position when the Supertrend indicates an uptrend and the price is above the KAMA. It exits when the Supertrend switches to a downtrend and the price is below the KAMA, minimizing losses or protecting profits.
Candle Swing Highs and LowsThe 5 Candle Swing Highs and Lows indicator is designed to help traders visually identify significant swing points in price action over a five-candle pattern. This indicator highlights areas of potential reversal by marking swing highs and lows directly on the chart, assisting in making informed trading decisions.
Key Features:
Swing High Detection: The indicator identifies a swing high when the middle candle of a five-candle pattern is higher than its neighboring candles. This can suggest potential resistance levels where price may reverse.
Twiggs Money FlowTwiggs Money Flow (TMF)
This indicator is an implementation of the Twiggs Money Flow (TMF), a volume-based tool designed to measure buying and selling pressure over a specified period. TMF is an enhancement of Chaikin Money Flow (CMF), utilizing more sophisticated smoothing techniques for improved accuracy and reduced noise. This version is highly customizable and includes advanced features for both new and experienced traders.
What is Twiggs Money Flow?
Twiggs Money Flow was developed by Colin Twiggs to provide a clearer picture of market momentum and the balance between buyers and sellers. It uses a combination of price action, trading volume, and range calculations to assess whether a market is under buying or selling pressure.
Unlike traditional volume indicators, TMF incorporates Weighted Moving Averages (WMA) by default but allows for other moving average types (SMA, EMA, VWMA) for added flexibility. This makes it adaptable to various trading styles and market conditions.
Features of This Script:
Customizable Moving Average Types:
Select from SMA , EMA , WMA , or VWMA to smooth volume and price-based calculations.
Tailor the indicator to align with your trading strategy or the asset's behavior.
Optional HMA Smoothing:
Apply Hull Moving Average (HMA) smoothing for a cleaner, faster-reacting TMF line.
Perfect for traders who want to reduce lag and capture trends earlier.
Dynamic Thresholds for Signal Filtering:
Set user-defined thresholds for Long (LT) and Short (ST) signals to highlight significant momentum.
Focus on actionable trends by ignoring noise around neutral levels.
Bar Coloring for Visual Clarity:
Automatically colors your chart bars based on TMF values:
Aqua for strong bullish signals (above the long threshold).
Fuchsia for strong bearish signals (below the short threshold).
Gray for neutral or undecided market conditions.
Ensures that trend direction and strength are visually intuitive.
Configurable Lookback Period:
Adjust the sensitivity of TMF by customizing the length of the lookback period to suit different timeframes and market conditions.
How It Works:
True Range Calculation: The script determines the high, low, and close range to calculate buying and selling pressure.
Adjusted Volume: Incorporates the relationship between price and volume to gauge whether trading activity is favoring buyers or sellers.
Weighted Moving Averages (WMAs): Smooths both volume and adjusted volume values to eliminate erratic fluctuations.
TMF Line: Computes the ratio of adjusted volume to total volume, representing the net buying/selling pressure as a percentage.
HMA Option (if enabled): Smooths the TMF line further to reduce lag and enhance trend identification.
Bar Coloring Logic:
Bars are colored dynamically based on TMF values, thresholds, and smoothing preferences.
Provides an at-a-glance understanding of market conditions.
Input Parameters:
Lookback Period: Defines the number of bars used to calculate TMF (default: 21).
Use HMA Smoothing: Toggle Hull Moving Average smoothing (default: true).
HMA Smoothing Length: Length of the HMA smoothing period (default: 14).
Moving Average Type: Select SMA, EMA, WMA, or VWMA (default: WMA).
Long Threshold (LT): Threshold value above which a long signal is considered (default: 0).
Short Threshold (ST): Threshold value below which a short signal is considered (default: 0).
How to Use It:
Confirm Trends: TMF can validate trends by identifying periods of sustained buying or selling pressure.
Divergence Signals: Watch for divergences between price and TMF to anticipate potential reversals.
Filter Trades: Use the thresholds to ignore weak signals and focus on strong trends.
Combine with Other Indicators: Pair TMF with trend-following or momentum indicators (e.g., RSI, Bollinger Bands) for a comprehensive trading strategy.
Example Use Cases:
Spotting breakouts when TMF crosses above the long threshold.
Identifying sell-offs when TMF dips below the short threshold.
Avoiding sideways markets by ignoring neutral (gray) bars.
Notes:
This indicator is highly customizable, making it versatile across different assets (e.g., stocks, crypto, forex).
While the default settings are robust, tweaking the lookback period, moving average type, and thresholds is recommended for different trading instruments or strategies.
Always backtest thoroughly before applying the indicator to live trading.
This version of Twiggs Money Flow goes beyond standard implementations by offering advanced smoothing, custom thresholds, and enhanced visual feedback to give traders a competitive edge.
Add it to your charts and experience the power of volume-driven analysis!
Stochastic RSI color//@version=5
indicator("Stochastic RSI", shorttitle="Stoch RSI", overlay=false)
// Kullanıcı Girdileri
rsi_length = input.int(8, title="RSI Length") // RSI için periyot
stoch_length = input.int(10, title="Stochastic Length") // Stochastic için periyot
smooth_k = input.int(3, title="Smooth %K") // %K için smoothing periyodu
smooth_d = input.int(3, title="Smooth %D") // %D için smoothing periyodu
upper_band = 100 // Üst band (sabit)
lower_band = 0 // Alt band (sabit)
// RSI Hesaplama
rsi = ta.rsi(close, rsi_length)
// Stochastic RSI Hesaplama
lowest_rsi = ta.lowest(rsi, stoch_length)
highest_rsi = ta.highest(rsi, stoch_length)
stoch_rsi = (rsi - lowest_rsi) / (highest_rsi - lowest_rsi)
// %K ve %D Hesaplama
k = ta.sma(stoch_rsi * 100, smooth_k)
d = ta.sma(k, smooth_d)
// Görsel Çizim
hline(upper_band, "Upper Band", color=color.red, linestyle=hline.style_dotted)
hline(lower_band, "Lower Band", color=color.green, linestyle=hline.style_dotted)
plot(k, title="%K", color=color.blue, linewidth=2)
plot(d, title="%D", color=color.orange, linewidth=2)
Göstergenin Özellikleri:
1. RSI Uzunluğu (RSI Length):
o RSI, kapanış fiyatına dayanarak hesaplanır ve bu göstergede periyodu 8 olarak sabitlenmiştir. Daha kısa bir RSI periyodu, daha hızlı sinyaller verir.
2. Stochastic Uzunluğu (Stochastic Length):
o Stochastic hesaplamasında RSI'nin belirli bir süre içindeki en düşük ve en yüksek değerleri dikkate alınır. Bu periyot 10 olarak ayarlanmıştır.
3. %K ve %D:
o %K çizgisi, Stochastic RSI'nin 3 periyotluk hareketli ortalamasıdır.
o %D çizgisi ise %K çizgisinin 3 periyotluk hareketli ortalamasıdır.
4. Üst ve Alt Bantlar:
o Üst Bant: 100 seviyesinde kırmızı noktalı çizgi. Bu, aşırı alım bölgesini temsil eder.
o Alt Bant: 0 seviyesinde yeşil noktalı çizgi. Bu, aşırı satım bölgesini temsil eder.
Göstergenin Kullanımı:
1. Aşırı Alım ve Aşırı Satım Bölgeleri:
o %K ve %D çizgileri 100 seviyesine yaklaştığında, varlık aşırı alım bölgesindedir. Bu, fiyatın düşme olasılığının yüksek olduğunu gösterebilir.
o %K ve %D çizgileri 0 seviyesine yaklaştığında, varlık aşırı satım bölgesindedir. Bu, fiyatın yükselme olasılığını gösterebilir.
2. Çizgi Kesişimleri:
o %K çizgisi, %D çizgisini aşağıdan yukarı doğru kestiğinde, bu bir alış sinyali olarak yorumlanabilir.
o %K çizgisi, %D çizgisini yukarıdan aşağı doğru kestiğinde, bu bir satış sinyali olarak yorumlanabilir.
Ultimate Buy/Sell IndicatorUltimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B
AlphaEdge Crypto Tracker [CHE]AlphaEdge Crypto Tracker
This tool is my Christmas gift to all traders. I wish you all a Merry Christmas and successful trades in the coming year!
Efficiently Identify Top Performers and Underperformers Among 40 Crypto Assets at a Glance
In the fast-paced world of cryptocurrency trading, staying ahead requires the ability to quickly assess the performance of multiple assets simultaneously. AlphaEdge Crypto Tracker is an advanced Pine Script™ indicator designed for TradingView that empowers traders to effortlessly monitor and evaluate 40 different crypto assets in real-time.
Why It’s Important to Identify Winners and Losers Among 40 Assets at a Glance:
1. Time Efficiency: Managing a diverse portfolio can be overwhelming. With AlphaEdge Crypto Tracker, traders can swiftly identify which assets are performing exceptionally well (winners) and which are underperforming (losers) without the need to analyze each asset individually.
2. Informed Decision-Making: By having a clear overview of top gainers and losers, traders can make strategic decisions such as reallocating investments, taking profits, or cutting losses, thereby optimizing their trading strategies.
3. Risk Management: Quickly spotting underperforming assets helps in mitigating potential losses and adjusting positions to maintain a balanced and profitable portfolio.
4. Opportunity Identification: Recognizing top-performing assets allows traders to capitalize on emerging trends and maximize their returns by focusing on the most promising opportunities.
Key Features of AlphaEdge Crypto Tracker :
- Comprehensive Asset Tracking: Monitors 40 crypto assets simultaneously, providing a broad view of the market landscape.
- Max Gain and Adjusted Max Loss Calculations: Utilizes a 14-bar (configurable) period to calculate the highest gains and the adjusted maximum losses for each asset, offering insights into potential profitability and risk.
- Dynamic Ranking: Automatically sorts and ranks assets based on their performance, highlighting the top 10 gainers and top 10 losers for easy comparison.
- Customizable Display:
- Table Settings: Adjust the size, position, and colors of the performance table to fit your chart layout.
- Interactive Tooltips: Hover over asset names to view detailed tooltips, enhancing usability and information accessibility.
- Visual Alerts: Changes in asset performance are visually indicated through background color updates, allowing for immediate recognition of significant shifts.
- User-Friendly Interface: Intuitive table layout with clear headers and organized data presentation, making it easy for traders of all levels to interpret the information.
How It Works:
1. Data Calculation: For each of the 40 tracked assets, AlphaEdge Crypto Tracker calculates the maximum gain and adjusted maximum loss over the defined trading period.
2. Sorting and Ranking: The assets are sorted based on their maximum gains and adjusted maximum losses, automatically updating to reflect the latest market movements.
3. Real-Time Display: The top 10 gainers and losers are displayed in a neatly organized table directly on your TradingView chart, providing immediate visual insights.
4. Customization: Users can tailor the tracking period, select specific assets to monitor, and adjust the table’s appearance to match their trading style and preferences.
Conclusion:
AlphaEdge Crypto Tracker is an essential tool for cryptocurrency traders seeking to enhance their market analysis and decision-making processes. By providing a comprehensive and customizable overview of multiple assets, it enables traders to efficiently identify profitable opportunities and manage risks effectively. Whether you’re a seasoned trader or just starting, AlphaEdge Crypto Tracker equips you with the insights needed to navigate the dynamic crypto market with confidence.
Get Started Today:
Integrate AlphaEdge Crypto Tracker into your TradingView setup and take control of your crypto trading strategy with unparalleled clarity and precision.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
License Information:
This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0. You can view the full license (mozilla.org).
© chervolino
AlphaEdge Crypto Tracker [CHE]AlphaEdge Crypto Tracker
Efficiently Identify Top Performers and Underperformers Among 40 Crypto Assets at a Glance
In the fast-paced world of cryptocurrency trading, staying ahead requires the ability to quickly assess the performance of multiple assets simultaneously. AlphaEdge Crypto Tracker is an advanced Pine Script™ indicator designed for TradingView that empowers traders to effortlessly monitor and evaluate 40 different crypto assets in real-time.
This tool is my Christmas gift to all traders. I wish you all a Merry Christmas and successful trades in the coming year!
Why It’s Important to Identify Winners and Losers Among 40 Assets at a Glance:
1. Time Efficiency: Managing a diverse portfolio can be overwhelming. With AlphaEdge Crypto Tracker, traders can swiftly identify which assets are performing exceptionally well (winners) and which are underperforming (losers) without the need to analyze each asset individually.
2. Informed Decision-Making: By having a clear overview of top gainers and losers, traders can make strategic decisions such as reallocating investments, taking profits, or cutting losses, thereby optimizing their trading strategies.
3. Risk Management: Quickly spotting underperforming assets helps in mitigating potential losses and adjusting positions to maintain a balanced and profitable portfolio.
4. Opportunity Identification: Recognizing top-performing assets allows traders to capitalize on emerging trends and maximize their returns by focusing on the most promising opportunities.
Key Features of AlphaEdge Crypto Tracker :
- Comprehensive Asset Tracking: Monitors 40 crypto assets simultaneously, providing a broad view of the market landscape.
- Max Gain and Adjusted Max Loss Calculations: Utilizes a 14-bar (configurable) period to calculate the highest gains and the adjusted maximum losses for each asset, offering insights into potential profitability and risk.
- Dynamic Ranking: Automatically sorts and ranks assets based on their performance, highlighting the top 10 gainers and top 10 losers for easy comparison.
- Customizable Display:
- Table Settings: Adjust the size, position, and colors of the performance table to fit your chart layout.
- Interactive Tooltips: Hover over asset names to view detailed tooltips, enhancing usability and information accessibility.
- Visual Alerts: Changes in asset performance are visually indicated through background color updates, allowing for immediate recognition of significant shifts.
- User-Friendly Interface: Intuitive table layout with clear headers and organized data presentation, making it easy for traders of all levels to interpret the information.
How It Works:
1. Data Calculation: For each of the 40 tracked assets, AlphaEdge Crypto Tracker calculates the maximum gain and adjusted maximum loss over the defined trading period.
2. Sorting and Ranking: The assets are sorted based on their maximum gains and adjusted maximum losses, automatically updating to reflect the latest market movements.
3. Real-Time Display: The top 10 gainers and losers are displayed in a neatly organized table directly on your TradingView chart, providing immediate visual insights.
4. Customization: Users can tailor the tracking period, select specific assets to monitor, and adjust the table’s appearance to match their trading style and preferences.
Conclusion:
AlphaEdge Crypto Tracker is an essential tool for cryptocurrency traders seeking to enhance their market analysis and decision-making processes. By providing a comprehensive and customizable overview of multiple assets, it enables traders to efficiently identify profitable opportunities and manage risks effectively. Whether you’re a seasoned trader or just starting, AlphaEdge Crypto Tracker equips you with the insights needed to navigate the dynamic crypto market with confidence.
Get Started Today:
Integrate AlphaEdge Crypto Tracker into your TradingView setup and take control of your crypto trading strategy with unparalleled clarity and precision.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
License Information:
This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0. You can view the full license (mozilla.org).
© chervolino
Previous Candle Fully Engulfed by Current Candle jknPrevious Candle Fully Engulfed by Current Candle jkn
Jc Position Size Calculatortool for calculate position size or profit base on input setting
can set fix risk mode or fix lot mode
need to enter how much one integer point of the product is worth in US dollars (the example in the picture is MNQ, one integer point is $2)
offer 4 value per price option for frequency usage
設定說明：
1：需要自行輸入該商品一個整數點值多少美元(圖中範例為MNQ 一個整數點$2)
2：手數變化跳動單位(期貨手數沒有小數點所以設為1，算法為除後無條件捨去)
3.1：文字是否顯示固定風險模式
3.2：固定風險值設定
4.1：文字是否顯示固定手數模式
4.2：固定手數值設定
--
Tool is for the convenience of use, users should bear all risks for their investment decisions. The tool information is for reference only and does not provide any guarantees.
工具為方便使用，使用者應為自己任何投資決策行為承擔所有風險，工具資訊僅供參考，不提供任何保證。
EMA Trend back test 1The EMA Trend script is designed to visualize and identify trends based on the relationship between three Exponential Moving Averages (EMAs) with user-defined periods: Fast EMA, Medium EMA, and Slow EMA. It uses the relative positioning of these EMAs to indicate the direction of the trend and highlights the trend visually on the chart.
BK Multiple MAIndicator Description:
I am incredibly proud and excited to share my third indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Moving Averages (MAs) are among the top three most crucial indicators for trading, and this fully customizable Multi-MA script takes them to the next level. This indicator allows you to fine-tune and personalize every aspect to suit your trading style and strategy. Here's what makes it special:
Full Customization: Adjust the period for each MA independently. Choose the type of MA you want to use for each (EMA, SMA, or RMA).
Color & Line Width: Customize the line color and thickness for clarity on your chart.
Flexibility: Use up to 4 Moving Averages, or choose how many you want to display based on your preference.
Streamlined Interface: Simple and intuitive inputs make it easy to tweak settings on the go.
This tool was designed with precision and adaptability in mind, ensuring it works across all timeframes and trading styles.
A Personal Message:
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy—helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
Average Trading Volume per Minute & Suitable Position SizeDescription:
This indicator calculates an average trading volume per minute for the specified lookback period (default 377 bars). It then estimates a suitable position size in USD (or contracts on specific exchanges) by multiplying the average volume by a user-defined percentage (default 8%). The script discards extreme data points (top and bottom 20%) before finding the median, so it provides a more robust measure of typical volume.
How It Works:
1. Each bar’s volume is converted to a USD-based figure, either by taking volume directly (if the exchange quotes in USD) or multiplying volume by the midpoint price.
2. Values are stored in an array, which is then sorted to remove the most extreme 40% (20% from each tail). The remaining 60% is used to calculate a median.
3. You enter a position size percentage (e.g. 8%), and the script multiplies the median volume-per-minute by this percentage to get your recommended position size.
4. For certain exchanges like BitMEX/Deribit, the script adapts how it treats volume (in quotes vs. base), so it can display the final position size properly (USD or contracts).
5. The script displays the result in a small table on the chart, showing the recommended position size in USD (or, for some perpetual contracts, in contract units). If no valid data is available, it indicates “Data Invalid.”
Usage Tips:
• The default Position Size Percentage is 8%. You can adjust it higher for more aggressive trading or lower for smaller exposure.
• The default lookback (Average Calculation Period) is 377 bars. Experiment with different values (e.g. 200 or 500) to capture more or fewer historical bars.
• On certain exchanges and symbols (e.g. BitMEX or Deribit’s “.P” pairs), the script automatically switches how it calculates volume (USD vs. coin-based).
• If you see “Data Invalid,” it likely means the current symbol or timeframe lacks sufficient volume info, or you’re running it on a symbol like BTC.D.
Why This Helps:
• Many traders size positions by guesswork or a fixed fraction of their account. This script instead ties position size to actual average trading volume, ensuring your position is neither too large (risk of poor fills) nor too small (wasting leverage potential).
• Removing top/bottom outliers and using the median aims to give a stable volume measure—less influenced by sudden spikes or extremely quiet bars.
Feel free to tweak the inputs and experiment with different timeframes or pairs. By aligning your position size with typical market liquidity, you can potentially improve overall trade execution and manage risk more effectively.
RSI Status v2 Multi-TFThe RSI provides two values, the RSI and the RSI-EMA. This simple indicator simply displays the status of the RSI (Green/Red) and the associated values for the Weekly, Daily and 4-hour time-frames, regardless of what time-frame you are viewing. The exception is the 4-hour value, that will have a minor difference when viewed from the Daily or Weekly due to the code picking up the first 4-hour reading of the day rather than the final 4-hour (end-of-day). It will read correctly when viewing the 4-hour chart.
RSI Multi-Timeframes ProviderRSi-MTF pour intégration dans stratégie.
Quand les 4 TF atteignent des seuils, lancer l'achat ou la vente
My Moving Average Crossover StrategyOverview of the My Moving Average Crossover Strategy
Moving Averages:
A short-term moving average reacts more quickly to price changes, while a long-term moving average smooths out price fluctuations over a longer period.
The strategy generates trading signals based on the crossover of these two averages:
Buy Signal: When the short-term MA crosses above the long-term MA
Sell Signal:
Implementing Take Profit and Stop Loss
1. Take Profit Levels - 10
2. Stop Loss Levels - 5
3. Take Profit Dynamic - 20
4. Stop Loss Dynamic - 2.5
