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
6
33% / 33%
Overdue
0
Free
3
Developer 3
Rating
(266)
Projects
598
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
(569)
Projects
660
32%
Arbitration
43
44% / 44%
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
FINAL EA STRATEGY DOCUMENT (Chandelier Exit + EMA Breakout System) ------------------------------------ CORE INDICATOR - Chandelier Exit (MAIN LOGIC) - ATR Period: Editable (Default 22) - ATR Multiplier: Editable (Default 3) IMPORTANT: - ATR must NOT be shown as a separate indicator - ATR must be used ONLY internally inside Chandelier Exit - All SL & trailing must strictly follow Chandelier Exit line
1. I will pay 3000+ USD (negotiable) for an EA for existing MT5 that generates a minimum of 5% or higher a month consistently (provide source code after final deal) 2. Looking for a highly profitable EA 3. Please send demo version directly subject (Buying profitable EA Budget up to $ 3000 USD), past results and optimal settings so I can test, if it performs in a strategy tester i will also need option to forward test
I have several strategies that I want to automate. However, I need to explain the strategies and discuss the next steps. I also want to have the source code so I can backtest the setup in my trading software. And if possible, a brief introduction on how it works. But we can discuss all of this when we start working together. About the strategy: 1. Basic logic: Single Prints Both visible Single Prints (classic peaks
Hello, I am looking for a professional developer to create an Expert Advisor (EA) for MT5 (MetaTrader 5). The strategy uses a combination of MACD and Bollinger Bands. Specifications: 1. Trading Pair: EURUSD 2. Indicators Settings: Bollinger Bands: Period 20, Deviation 2.000, Shift 0, Apply to Close. MACD: Fast EMA 89, Slow EMA 144, MACD SMA 5, Apply to Close. 3. Strategy Logic: SELL Condition: MACD Main line should
Darwish 30 - 100 USD
Hey, I want you to build an AI bot for buying and selling. I really like the structure and design of the information I sent you, so please use that as the base. I need the same logic and flow, but make sure it’s unique to me. The bot should handle buying and selling, and I want to control access most users get limited access, like one day, but I need a way to grant full, unlimited access if I choose. Don’t worry just
Super scalper 30 - 200 USD
Articles 1 How to create Requirements Specification for ordering a trading robot 28 MetaQuotes 225 289 Table of Contents Prerequisites for ordering a trading robot Why is it important to have a well-prepared Requirements Specification? Requirements Specification examples What is contained in the Requirements Specification? Where do I get Requirements Specification if I can't create it? Terms to use How to write an
Articles 1 How to create Requirements Specification for ordering a trading robot 28 MetaQuotes 225 289 Table of Contents Prerequisites for ordering a trading robot Why is it important to have a well-prepared Requirements Specification? Requirements Specification examples What is contained in the Requirements Specification? Where do I get Requirements Specification if I can't create it? Terms to use How to write an
HFT Directional Grid Scalper (Simple, Training Project) Overview We are looking for a developer to create a high-frequency grid scalper with a simple, deterministic logic. This is not a complex bot — the goal is to have a clean implementation for training, testing, and educational purposes. The bot should: Continually open trades in one direction only (BUY or SELL) Use ATR-based grid spacing Maintain a fixed lot size
i have a tradingview simple indecator of 40 lines of code ,i want it to convert it into mt5 EA strategy details given below AUTOMATED TRADING STRATEGY Multi-Lot Execution & Dynamic Trailing Stop Logic System Architecture & Operational Rules Trading Bot Strategy Profile Entry Conditions Buy Logic • • • Wait for Buy Signal candle. Confirmation: Future candle must break the signal high. Execution: Open 2 orders of 0.01
HFT Directional Grid Scalper (Simple, Training Project) Overview We are looking for a developer to create a high-frequency grid scalper with a simple, deterministic logic. This is not a complex bot — the goal is to have a clean implementation for training, testing, and educational purposes. The bot should: Continually open trades in one direction only (BUY or SELL) Use ATR-based grid spacing Maintain a fixed

Project information

Budget
10000+ USD