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
(252)
Projects
462
26%
Arbitration
139
20% / 60%
Overdue
100
22%
Free
2
Developer 2
Rating
(7)
Projects
8
13%
Arbitration
6
33% / 33%
Overdue
0
Free
3
Developer 3
Rating
(268)
Projects
603
34%
Arbitration
65
22% / 57%
Overdue
146
24%
Working
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
(620)
Projects
724
34%
Arbitration
46
48% / 41%
Overdue
14
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
Create a fully automated MetaTrader 5 (MT5) Expert Advisor (EA) in MQL5 based on the following exact trading strategy. STRATEGY NAME: Previous Day High/Low Daily Breakout Strategy INSTRUMENTS: 1. XAUUSD — fixed lot size: 0.01 2. EURUSD — fixed lot size: 0.10 TIMEZONE: All strategy times must be calculated in Indian Standard Time (IST / UTC+5:30). The broker's server time may be different, so the EA must correctly
OVERVIEW: I am looking for an experienced MQL developer to build a proprietary Expert Advisor (EA) specifically optimized to PASS evaluation challenges on modern prop firms (specifically targeting The 5%ers execution rules). The EA must rely on momentum and volume expansions, completely avoiding toxic strategies such as Grid, Martingale, or averaging down. Every trade must protect the account's daily drawdown
Hello here, I need someone who can work on pinescript and also with Renko charts. My entries for my strategy would be based on stop orders Kindly let me know if you can work on this for me and i will send necessary file and quote in the chat
Trade XAUUSD only Support MT5 Use Buy Stop and Sell Stop pending orders around a configurable breakout range. When the market breaks the range, activate the corresponding trade. Automatically place Stop Loss and Take Profit immediately with every order. Automatically cancel the opposite pending order after one side is triggered. No Martingale No Grid No averaging down No loss recovery system No unlimited position
Hey guys, I’ve got an MT4 HFT EA that’s showing strong results on an IC Markets demo account, and I'm looking to move it over to MT5. Does anyone have a solid MT5 version that performs well on IC Markets? Having the source code (MQL5) included would be awesome. Thanks for any leads
Hello! I want to automatically trade on Sierra Charts (IronBeam Brokerage). NQ ($20 per "handle") or MNQ ($2 per point or handle) - futures Broker: IronBeam mostly for the low capital requirement for futures Chart: Sierra Charts I almost exclusively trade a 5-20 bracket with 2 contracts (first contract closes at a +5 and second bracket closes at a +20.) When the +5 is reached, I move my stop from -15 to BE
Let’s use Chart M3. Stochastic 8,3,3. 85/15 trigger for sell stochastic >85, and the reversal move need to engulf the last bar for 1 point. SL over the engulfed bar. Same trigger for buys… Stochastic <15, engulfed bar by 1 point = entrance. SL under the engulfed bar… more details as soon we start to work on it
Scalping EA/straddle 30 - 200 USD
Title: Custom EA: Dynamic Trailing Limit Grid with Volatility/Velocity Filter and Auto SL/TP Description: I am looking for an experienced MQL5 programmer to develop a high-performance, robust Expert Advisor (EA) for MetaTrader 5. The strategy relies on dynamic trailing limit orders that automatically adjust to market price changes, featuring a safety buffer during high-velocity price spikes. The EA must include the
Freelance Task — EA Recovery Layer Hello. I have a ready-made MQL5 EA. The signals, SL/TP and lot calculation should essentially not be touched. I need a recovery system added. I am not a programmer — below is how the robot should behave. What stays Entry only from an EA signal. Stop-loss is not a new signal. Trailing is already built into my EA — recovery does not implement its own trailing. If trailing is disabled
Watcher position 30 - 100 USD
//+------------------------------------------------------------------+ //| synthetic tick generator based on two assets | //+------------------------------------------------------------------+ class CSyntheticTickGenerator { private : string symbol_a; string symbol_b; string synth_name; double ratio; double last_price_a; double

Project information

Budget
10000+ USD