LEO INDICATOR

MQL5 Experts

Specification

//@version=5
indicator("Infinity and Sniper by Leo", overlay=true, precision=0, explicit_plot_zorder=true, max_labels_count=500)

// Get user input
emaEnergy   = false
sensitivity = input.float(6, " Sensitivity (0.5 - 10)", 0.5, 10, step=0.1)
keltner_length = 10
atrPeriod = 10
factor = 3.5

// Keltner Channel function
keltner_channel(src, length) =>
    ma = ta.sma(src, length)
    rangec = high - low
    upper = ma + rangec
    lower = ma - rangec
    [upper, lower]

// Modified Supertrend function using Keltner Channel
supertrend(_src, factor, atrLen, kel_length) =>
    [upperKeltner, lowerKeltner] = keltner_channel(_src, kel_length)
    rangec = upperKeltner - lowerKeltner
    upperBand = _src + factor * rangec
    lowerBand = _src - factor * rangec
    prevLowerBand = nz(lowerBand[1])
    prevUpperBand = nz(upperBand[1])
    lowerBand := lowerBand > prevLowerBand or close[1] < prevLowerBand ? lowerBand : prevLowerBand
    upperBand := upperBand < prevUpperBand or close[1] > prevUpperBand ? upperBand : prevUpperBand
    int direction = na
    float superTrend = na
    prevSuperTrend = superTrend[1]

    if na(rangec[1])
        direction := 1
    else if prevSuperTrend == prevUpperBand
        direction := close > upperBand ? -1 : 1
    else
        direction := close < lowerBand ? 1 : -1
    superTrend := direction == -1 ? lowerBand : upperBand
    [superTrend, direction]

// 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) => 
    if na(ma)
        color.gray // o cualquier otro color predeterminado
    else
        emaEnergy ? (close >= ma ? green : red) : na

// Plots
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, direction] = 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)

// Braid Filter

//-- Inputs
maType = input.string('McGinley', 'Filter', options=['EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'Kijun', 'McGinley', 'RMA'])
Period1 = 3
Period2 = 7
Period3 = 20
PipsMinSepPercent = input(60, 'Filter Strength')

//-- Moving Average
ma(type, src, len) =>
    float result = 0
    if type == 'SMA'  // Simple
        result := ta.sma(src, len)
        result
    if type == 'EMA'  // Exponential
        result := ta.ema(src, len)
        result
    if type == 'DEMA'  // Double Exponential
        e = ta.ema(src, len)
        result := 2 * e - ta.ema(e, len)
        result
    if type == 'TEMA'  // Triple Exponential
        e = ta.ema(src, len)
        result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len)
        result
    if type == 'WMA'  // Weighted
        result := ta.wma(src, len)
        result
    if type == 'VWMA'  // Volume Weighted
        result := ta.vwma(src, len)
        result
    if type == 'SMMA'  // Smoothed
        w = ta.wma(src, len)
        result := na(w[1]) ? ta.sma(src, len) : (w[1] * (len - 1) + src) / len
        result
    if type == 'RMA'
        result := ta.rma(src, len)
        result
    if type == 'HMA'  // Hull
        result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))
        result
    if type == 'LSMA'  // Least Squares
        result := ta.linreg(src, len, 0)
        result
    if type == 'Kijun'  //Kijun-sen
        kijun = math.avg(ta.lowest(len), ta.highest(len))
        result := kijun
        result
    if type == 'McGinley'
        mg = 0.0
        mg := na(mg[1]) ? ta.ema(src, len) : mg[1] + (src - mg[1]) / (len * math.pow(src / mg[1], 4))
        result := mg
        result
    result

//-- Braid Filter   
ma01 = ma(maType, close, Period1)
ma02 = ma(maType, open, Period2)
ma03 = ma(maType, close, Period3)

max = math.max(math.max(ma01, ma02), ma03)
min = math.min(math.min(ma01, ma02), ma03)
dif = max - min

filter = ta.atr(14) * PipsMinSepPercent / 100

//-- Plots
BraidColor = ma01 > ma02 and dif > filter ? color.green : ma02 > ma01 and dif > filter ? color.red : color.gray

//plot(dif, 'Braid', BraidColor, 5, plot.style_columns)
//plot(filter, 'Filter', color.new(color.blue, 0), 2, plot.style_line)
//bgcolor(BraidColor, transp=90)

// Braid Filter Finish

buy  = bull and ma01 > ma02 and dif > filter ? label.new(bar_index, y1, "BUY", xloc.bar_index, yloc.price, green, label.style_label_up, color.white, size.normal) : na
sell = bear and ma02 > ma01 and dif > filter ? label.new(bar_index, y2, "SELL", xloc.bar_index, yloc.price, red, label.style_label_down, color.white, size.normal) : na


[supertrends, directions] = 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))

// Take Profit Script

colorsr = 'DARK'
bullcolorr = colorsr == 'DARK' ?  color.rgb(0, 255, 8) : #00DBFF
bearcolorr = colorsr == 'DARK' ?  color.rgb(255, 0, 0) : #E91E63


ShowTEX = input.bool(true, "Show Take Profit Signals")
TE1 = true
TE2 = true
TE3 = true
//TE4 = input(true, 'TE - 4' , group="Money Moves [Trend Exhaustion]" , inline = "TEX")

rsiLengthInput = 22
rsiSourceInput = close
maTypeInput = ta.sma(close, 14)
up66 = ta.rma(math.max(ta.change(rsiSourceInput), 0), rsiLengthInput)
downw = ta.rma(-math.min(ta.change(rsiSourceInput), 0), rsiLengthInput)
rsi66 = downw == 0 ? 100 : up66 == 0 ? 0 : 100 - (100 / (1 + up66 / downw))
rsiMA = maTypeInput

long1 = ta.crossover(rsi66, 30)
long2 = ta.crossover(rsi66, 20)
long3 = ta.crossover(rsi66, 15)
//long4 = ta.crossover(rsi66, 10)

// SHORT
short1 = ta.crossunder(rsi66, 70)
short2 = ta.crossunder(rsi66, 80)
short3 = ta.crossunder(rsi66, 85)
//short4 = ta.crossunder(rsi66, 90)

// LONG
plotshape(long1 and ShowTEX and TE1, "GO LONG 1", style=shape.circle, location=location.belowbar,size=size.tiny, color = color.new(bullcolorr , 60) , text="Sell TP" , textcolor = bullcolorr , editable = false)
plotshape(long2 and ShowTEX and TE2, "GO LONG 2", style=shape.circle, location=location.belowbar,size=size.tiny, color = color.new(bullcolorr , 50), text="Sell TP" , textcolor = bullcolorr , editable = false)
plotshape(long3 and ShowTEX and TE3, "GO LONG 3", style=shape.circle, location=location.belowbar,size=size.tiny, color = color.new(bullcolorr , 10), text="Sell TP", textcolor = bullcolorr , editable = false)
//plotshape(long4 and ShowTEX, "GO LONG 4", style=shape.circle, location=location.belowbar,size=size.tiny, color=color.gray, text="4")

// SHORT
plotshape(short1 and ShowTEX and TE1, "GO SHORT 1", style=shape.circle, location=location.abovebar,size=size.tiny,  color = color.new(bearcolorr , 60) , text="Buy TP" , textcolor = bearcolorr , editable = false)
plotshape(short2 and ShowTEX and TE2, "GO SHORT 2", style=shape.circle, location=location.abovebar,size=size.tiny,  color = color.new(bearcolorr , 50) , text="Buy TP" , textcolor = bearcolorr , editable = false)
plotshape(short3 and ShowTEX and TE3, "GO SHORT 3", style=shape.circle, location=location.abovebar,size=size.tiny,  color = color.new(bearcolorr , 10) , text="Buy TP" , textcolor = bearcolorr , editable = false)
//plotshape(short4 and ShowTEX, "GO SHORT 4", style=shape.circle, location=location.abovebar,size=size.tiny, color=color.gray, text="4")


alertcondition(long1 or short1 , 'Trend Exhausted - 1', 'Trend Exhausted | Strength - 1 ')
alertcondition(long2 or short2 , 'Trend Exhausted - 2', 'Trend Exhausted | Strength - 2 ')
alertcondition(long3 or short3 , 'Trend Exhausted - 3', 'Trend Exhausted | Strength - 3 ')

// Peak Profit Script

import protradingart/pta_plot/6 as pp 

pp.peakprofit(bull and ma01 > ma02 and dif > filter, bear and ma02 > ma01 and dif > filter)

//------------------------------------------------------------------------------
//  === Nas Infinity Algo ===
//------------------------------------------------------------------------------

Periods = 40
src = hl2
Multiplier = input.float(title='Sensitivity', step=0.1, defval=7.2)
changeATR = true
showsignals = input(title='Show Buy/Sell Signals ?', defval=true)
highlighting = input(title='Highlighter On/Off ?', defval=false)
atr2 = ta.sma(ta.tr, Periods)
atr = changeATR ? ta.atr(Periods) : atr2
up = src - Multiplier * atr
up1 = nz(up[1], up)
up := close[1] > up1 ? math.max(up, up1) : up
dn = src + Multiplier * atr
dn1 = nz(dn[1], dn)
dn := close[1] < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend[1], trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
upPlot = plot(trend == 1 ? up : na, title='Up Trend', style=plot.style_linebr, linewidth=2, color=highlighting == true ? #4caf50 : #ffffff00)
buySignal = trend == 1 and trend[1] == -1
plotshape(buySignal and showsignals ? up : na, title='Buy', text='Buy', location=location.absolute, style=shape.labelup, size=size.normal, color=#4caf50, textcolor=color.new(color.white, 0))
dnPlot = plot(trend == 1 ? na : dn, title='Down Trend', style=plot.style_linebr, linewidth=2, color= highlighting == true ? #ff5252 : #ffffff00)
sellSignal = trend == -1 and trend[1] == 1
plotshape(sellSignal and showsignals ? dn : na, title='Sell', text='Sell', location=location.absolute, style=shape.labeldown, size=size.normal, color=color.new(color.red, 0), textcolor=color.new(color.white, 0))
mPlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0)
longFillColor = highlighting ? trend == 1 ? #4caf4f0b : #ffffff00 : #ffffff00
shortFillColor = highlighting ? trend == -1 ? #ff52520e : #ffffff00 : #ffffff00
fill(mPlot, upPlot, title='UpTrend Highligter', color=longFillColor, transp=90)
fill(mPlot, dnPlot, title='DownTrend Highligter', color=shortFillColor, transp=90)
alertcondition(buySignal, title='SuperTrend Buy', message='SuperTrend Buy!')
alertcondition(sellSignal, title='SuperTrend Sell', message='SuperTrend Sell!')
changeCond = trend != trend[1]
alertcondition(changeCond, title='SuperTrend Direction Change', message='SuperTrend has changed direction!')

// Bar Colors
var color barColor = na
if (sellSignal)
    barColor := color.red
else if (buySignal)
    barColor := color.green
else
    barColor := barColor[1]

barcolor(barColor)
//------------------------------------------------------------------------------
//  === OPTIMUM SNIPER V.1 ===
//------------------------------------------------------------------------------

//Get user settings
showBuySell       = input(true, "Show Buy & Sell", group="BUY & SELL SIGNALS")
sensitivity1       = input.float(3, "Sensitivity (1-6)", 1, 6, group="BUY & SELL SIGNALS")
percentStop       = input.float(1, "Stop Loss % (0 to Disable)", 0, group="BUY & SELL SIGNALS")
offsetSignal      = input.float(5, "Signals Offset", 0, group="BUY & SELL SIGNALS")
showRibbon        = input(false, "Show Trend Ribbon", group="TREND RIBBON")
smooth1           = input.int(5, "Smoothing 1", 1, group="TREND RIBBON")
smooth2           = input.int(8, "Smoothing 2", 1, group="TREND RIBBON")
showReversal      = input(false, "Show Reversals", group="REVERSAL SIGNALS")
showPdHlc         = input(false, "Show P.D H/L/C", group="PREVIOUS DAY HIGH LOW CLOSE")
lineColor         = input.color(color.yellow, "Line Colors", group="PREVIOUS DAY HIGH LOW CLOSE")
lineWidth         = input.int(1, "Width Lines", group="PREVIOUS DAY HIGH LOW CLOSE")
lineStyle         = input.string("Solid", "Line Style", ["Solid", "Dashed", "Dotted"])
labelSize         = input.string("normal", "Label Text Size", ["small", "normal", "large"])
labelColor        = input.color(color.yellow, "Label Text Colors")
showEmas          = input(false, "Show EMAs", group="EMA")
srcEma1           = input(close, "Source EMA 1")
lenEma1           = input.int(7, "Length EMA 1", 1)
srcEma2           = input(close, "Source EMA 2")
lenEma2           = input.int(21, "Length EMA 2", 1)
srcEma3           = input(close, "Source EMA 3")
lenEma3           = input.int(144, "Length EMA 3", 1)
showSwing         = input(false, "Show Swing Points", group="SWING POINTS")
prdSwing          = input.int(10, "Swing Point Period", 2, group="SWING POINTS")
colorPos          = input(color.new(color.green, 50), "Positive Swing Color")
colorNeg          = input(color.new(color.red, 50), "Negative Swing Color")
showDashboard     = input(false, "Show Dashboard", group="TREND DASHBOARD")
locationDashboard = input.string("Middle Right", "Table Location", ["Top Right", "Middle Right", "Bottom Right", "Top Center", "Middle Center", "Bottom Center", "Top Left", "Middle Left", "Bottom Left"], group="TREND DASHBOARD")
tableTextColor    = input(color.white, "Table Text Color", group="TREND DASHBOARD")
tableBgColor      = input(#2A2A2A, "Table Background Color", group="TREND DASHBOARD")
sizeDashboard     = input.string("Normal", "Table Size", ["Large", "Normal", "Small", "Tiny"], group="TREND DASHBOARD")
showRevBands      = input.bool(false, "Show Reversal Bands", group="REVERSAL BANDS")
lenRevBands       = input.int(30, "Length", group="REVERSAL BANDS")
// Functions
smoothrng(x, t, m) =>
    wper = t * 2 - 1
    avrng = ta.ema(math.abs(x - x[1]), t)
    smoothrng = ta.ema(avrng, wper) * m
rngfilt(x, r) =>
    rngfilt = x
    rngfilt := x > nz(rngfilt[1]) ? x - r < nz(rngfilt[1]) ? nz(rngfilt[1]) : x - r : x + r > nz(rngfilt[1]) ? nz(rngfilt[1]) : x + r
percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100
securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on)
swingPoints(prd) =>
    pivHi = ta.pivothigh(prd, prd)
    pivLo = ta.pivotlow (prd, prd)
    last_pivHi = ta.valuewhen(pivHi, pivHi, 1)
    last_pivLo = ta.valuewhen(pivLo, pivLo, 1)
    hh = pivHi and pivHi > last_pivHi ? pivHi : na
    lh = pivHi and pivHi < last_pivHi ? pivHi : na
    hl = pivLo and pivLo > last_pivLo ? pivLo : na
    ll = pivLo and pivLo < last_pivLo ? pivLo : na
    [hh, lh, hl, ll]
f_chartTfInMinutes() =>
    float _resInMinutes = timeframe.multiplier * (
      timeframe.isseconds ? 1                   :
      timeframe.isminutes ? 1.                  :
      timeframe.isdaily   ? 60. * 24            :
      timeframe.isweekly  ? 60. * 24 * 7        :
      timeframe.ismonthly ? 60. * 24 * 30.4375  : na)
f_kc(src, len, sensitivity1) =>
    basis = ta.sma(src, len)
    span  = ta.atr(len)
    [basis + span * sensitivity1, basis - span * sensitivity1]
wavetrend(src, chlLen, avgLen) =>
    esa = ta.ema(src, chlLen)
    d = ta.ema(math.abs(src - esa), chlLen)
    ci = (src - esa) / (0.015 * d)
    wt1 = ta.ema(ci, avgLen)
    wt2 = ta.sma(wt1, 3)
    [wt1, wt2]
f_top_fractal(src) => src[4] < src[2] and src[3] < src[2] and src[2] > src[1] and src[2] > src[0]
f_bot_fractal(src) => src[4] > src[2] and src[3] > src[2] and src[2] < src[1] and src[2] < src[0]
f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0
f_findDivs(src, topLimit, botLimit) =>
    fractalTop = f_fractalize(src) > 0 and src[2] >= topLimit ? src[2] : na
    fractalBot = f_fractalize(src) < 0 and src[2] <= botLimit ? src[2] : na
    highPrev = ta.valuewhen(fractalTop, src[2], 0)[2]
    highPrice = ta.valuewhen(fractalTop, high[2], 0)[2]
    lowPrev = ta.valuewhen(fractalBot, src[2], 0)[2]
    lowPrice = ta.valuewhen(fractalBot, low[2], 0)[2]
    bearSignal = fractalTop and high[2] > highPrice and src[2] < highPrev
    bullSignal = fractalBot and low[2] < lowPrice and src[2] > lowPrev
    [bearSignal, bullSignal]
// Get components
source    = close
smrng1    = smoothrng(source, 27, 1.5)
smrng2    = smoothrng(source, 55, sensitivity1)
smrng     = (smrng1 + smrng2) / 2
filt      = rngfilt(source, smrng)
up2        = 0.0, up2 := filt > filt[1] ? nz(up2[1]) + 1 : filt < filt[1] ? 0 : nz(up2[1])
dn2        = 0.0, dn2 := filt < filt[1] ? nz(dn2[1]) + 1 : filt > filt[1] ? 0 : nz(dn2[1])
bullCond  = bool(na), bullCond := source > filt and source > source[1] and up2 > 0 or source > filt and source < source[1] and up2 > 0
bearCond  = bool(na), bearCond := source < filt and source < source[1] and dn2 > 0 or source < filt and source > source[1] and dn2 > 0
lastCond  = 0, lastCond := bullCond ? 1 : bearCond ? -1 : lastCond[1]
bull1      = bullCond and lastCond[1] == -1
bear1      = bearCond and lastCond[1] == 1
countBull = ta.barssince(bull1)
countBear = ta.barssince(bear1)
trigger   = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0
ribbon1   = ta.sma(close, smooth1)
ribbon2   = ta.sma(close, smooth2)
rsi       = ta.rsi(close, 21)
rsiOb     = rsi > 70 and rsi > ta.ema(rsi, 10)
rsiOs     = rsi < 30 and rsi < ta.ema(rsi, 10)
dHigh     = securityNoRep(syminfo.tickerid, "D", high [1])
dLow      = securityNoRep(syminfo.tickerid, "D", low  [1])
dClose    = securityNoRep(syminfo.tickerid, "D", close[1])
ema111      = ta.ema(srcEma1, lenEma1)
ema22      = ta.ema(srcEma2, lenEma2)
ema33      = ta.ema(srcEma3, lenEma3)
[hh, lh, hl, ll] = swingPoints(prdSwing)
ema = ta.ema(close, 144)
emaBull = close > ema
equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds
higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds
too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10)
securityNoRep1(sym, res, src) =>
    bool bull_ = na
    bull_ := equal_tf(res) ? src : bull_
    bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_
    bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src)
    if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res)
        bull_ := array.pop(bull_array)
    array.clear(bull_array)
    bull_
TF1Bull   = securityNoRep1(syminfo.tickerid, "1"   , emaBull)
TF3Bull   = securityNoRep1(syminfo.tickerid, "3"   , emaBull)
TF5Bull   = securityNoRep1(syminfo.tickerid, "5"   , emaBull)
TF15Bull  = securityNoRep1(syminfo.tickerid, "15"  , emaBull)
TF30Bull  = securityNoRep1(syminfo.tickerid, "30"  , emaBull)
TF60Bull  = securityNoRep1(syminfo.tickerid, "60"  , emaBull)
TF120Bull = securityNoRep1(syminfo.tickerid, "120" , emaBull)
TF240Bull = securityNoRep1(syminfo.tickerid, "240" , emaBull)
TF480Bull = securityNoRep1(syminfo.tickerid, "480" , emaBull)
TFDBull   = securityNoRep1(syminfo.tickerid, "1440", emaBull)
[upperKC1, lowerKC1] = f_kc(close, lenRevBands, 3)
[upperKC2, lowerKC2] = f_kc(close, lenRevBands, 4)
[upperKC3, lowerKC3] = f_kc(close, lenRevBands, 5)
[upperKC4, lowerKC4] = f_kc(close, lenRevBands, 6)
[wt1, wt2] = wavetrend(hlc3, 9, 12)
[wtDivBear1, wtDivBull1] = f_findDivs(wt2, 15, -40)
[wtDivBear2, wtDivBull2] = f_findDivs(wt2, 45, -65)
wtDivBull = wtDivBull1 or wtDivBull2
wtDivBear = wtDivBear1 or wtDivBear2
// Colors
cyan = #00DBFF, cyan30 = color.new(cyan, 70)
pink = #E91E63, pink30 = color.new(pink, 70)
red1  = #FF5252, red30  = color.new(red1 , 70)
// Plot

srcStop = close
atrBand = srcStop * (percentStop / 120)
atrStop = trigger ? srcStop - atrBand : srcStop + atrBand
lastTrade(src) => ta.valuewhen(bull or bear, src, 0)
entry_y = lastTrade(srcStop)
stop_y = lastTrade(atrStop)
tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_y
tp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_y
tp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_y
labelTpSl(y, txt, color) =>
    label labelTpSl = percentStop != 0 ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na
    label.delete(labelTpSl[1])
labelTpSl(entry_y, "Entry: " + str.tostring(math.round_to_mintick(entry_y)), color.gray)
labelTpSl(stop_y , "Stop Loss: " + str.tostring(math.round_to_mintick(stop_y)), color.red)
labelTpSl(tp1_y, "Take Profit 1: " + str.tostring(math.round_to_mintick(tp1_y)), color.green)
labelTpSl(tp2_y, "Take Profit 2: " + str.tostring(math.round_to_mintick(tp2_y)), color.green)
labelTpSl(tp3_y, "Take Profit 3: " + str.tostring(math.round_to_mintick(tp3_y)), color.green)
lineTpSl(y, color) =>
    line lineTpSl = percentStop != 0 ? line.new(bar_index - (trigger ? countBull : countBear) + 4, y, bar_index + 1, y, xloc.bar_index, extend.none, color, line.style_solid) : na
    line.delete(lineTpSl[1])
lineTpSl(entry_y, color.gray)
lineTpSl(stop_y, color.red)
lineTpSl(tp1_y, color.green)
lineTpSl(tp2_y, color.green)
lineTpSl(tp3_y, color.green)

Responded

1
Developer 1
Rating
(250)
Projects
460
26%
Arbitration
140
20% / 59%
Overdue
100
22%
Working
2
Developer 2
Rating
(7)
Projects
8
13%
Arbitration
5
40% / 20%
Overdue
0
Free
3
Developer 3
Rating
(265)
Projects
595
35%
Arbitration
64
20% / 58%
Overdue
147
25%
Free
Published: 1 article, 22 codes
4
Developer 4
Rating
(18)
Projects
23
22%
Arbitration
8
13% / 63%
Overdue
4
17%
Free
5
Developer 5
Rating
(539)
Projects
620
33%
Arbitration
36
39% / 53%
Overdue
11
2%
Loaded
6
Developer 6
Rating
(574)
Projects
945
47%
Arbitration
309
58% / 27%
Overdue
125
13%
Free
7
Developer 7
Rating
(8)
Projects
9
22%
Arbitration
0
Overdue
0
Free
Similar orders
Description I need an very low latency MT5 Expert Advisor (EA) developed in MQL5 to automate TradingView alerts into MT5 trades for alerts set up done on trading view. The EA must work on both DEMO and LIVE accounts whichever will be attached to MT5 (XM, IC Markets and similar MT5 brokers) and be suitable for fast 1-minute timeframe scalping.End to End solution. Functional Requirements 1. TradingView Integration
I’m looking for a skilled EA developer who has a strong understanding of price action and supply & demand concepts , and can translate these ideas into a well-structured, reliable Expert Advisor. It will be a combination of 2 strategy into one EA. This project involves multiple trading strategies , and I’m only interested in working with someone who is genuinely familiar with these concepts and confident in
Project Overview I am looking for an experienced MQL5 developer to build a custom, prop-firm-compliant trend-following Expert Advisor (EA) for MetaTrader 5 . This EA will be used on prop firm accounts (e.g., FTMO-style rules), so strict risk control and rule compliance are mandatory . This is NOT a grid, martingale, scalping, or recovery EA. The goal is consistency, rule compliance, and capital preservation , not
Hi, I have listed this job at $100, however, the price I am willing to pay depends mainly on the DD of your EA. I am looking for: 1. MT4 EA + source code 2. DD ideally lower than 5%, max 6%. 3. Profitable 4. One trade at a time. No history readers and no unprofitable EAs please; I will validate this. I have Global Prime and RoboForex for testing. If your EA is near about, but not exact s
I would like to buy ea that is proven to be good need to have stable profit and can be very unstable DD but not more than 40 %you can send eas in dm for sale. I am looking of an Expert Advisor (EA) that has undergone independent validation and demonstrates a capability to successfully navigate prop firm challenges, as well as efficiently manage funded accounts. It is imperative that you provide a comprehensive
I am looking of an Expert Advisor (EA) that has undergone independent validation and demonstrates a capability to successfully navigate prop firm challenges, as well as efficiently manage funded accounts. It is imperative that you provide a comprehensive explanation of the strategy utilized by your EA, along with a demo version that has a 30-day expiration. This will facilitate extensive back testing and forward
I am seeking a highly skilled developer to build a fully functional automated Expert Advisor for MetaTrader 5 (MQL5)- XAUUSD fast in and out EA scalper that opens multiple trades following trend, uses dynamic lot sizing, and has to be – 24/5 unlimited. require the development of a high-speed, continuous fully automated trading Expert Advisor (EA) for MetaTrader 5, optimized for live trading on ICmarkets. The EA must
Hellow,l hope you are well,l am writing to place an order for a professional trading robot.l am looking for a reliable,well optimized robot that can trade efficiently,manage risk properly and deliver consistent performance in the market,I am particularly interested in a trading robot that uses a proven and transparent strategy,has strong risk management features,works well on common trading platforms,is suitable for
I am looking for an experienced MQL5 developer to build a professional MT5 software (indicator or semi-automated EA) for metals and major forex pairs. 📌 PLATFORM & MARKETS Platform: MetaTrader 5 Instruments: XAUUSD (Gold vs USD) XAGUSD (Silver vs USD) EURUSD GBPUSD USDJPY Trading styles: Scalping Intraday / short-term swing 🎯 MAIN OBJECTIVE I do NOT want an aggressive fully automated robot. I want a
Boom & Crash Counter-Spike EA for MT5 (Deriv) Project Overview I am looking for an experienced MT5 (MQL5) developer to build a clean, reliable, and well-structured Expert Advisor for trading Boom and Crash indices on Deriv. The EA is designed to trade strictly against spikes: Always SELL Boom indices Always BUY Crash indices This is not an indicator-based or signal-generating system. The EA executes and manages

Project information

Budget
10000+ USD