LEO INDICATOR

MQL5 Эксперты

Техническое задание

//@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)

Откликнулись

1
Разработчик 1
Оценка
(250)
Проекты
460
26%
Арбитраж
140
20% / 59%
Просрочено
100
22%
Работает
2
Разработчик 2
Оценка
(7)
Проекты
8
13%
Арбитраж
6
33% / 33%
Просрочено
0
Свободен
3
Разработчик 3
Оценка
(266)
Проекты
598
35%
Арбитраж
64
20% / 58%
Просрочено
147
25%
Свободен
Опубликовал: 1 статью, 22 примера
4
Разработчик 4
Оценка
(18)
Проекты
23
22%
Арбитраж
8
13% / 63%
Просрочено
4
17%
Свободен
5
Разработчик 5
Оценка
(563)
Проекты
651
33%
Арбитраж
41
41% / 46%
Просрочено
11
2%
Занят
6
Разработчик 6
Оценка
(574)
Проекты
945
47%
Арбитраж
309
58% / 27%
Просрочено
125
13%
Свободен
7
Разработчик 7
Оценка
(8)
Проекты
9
22%
Арбитраж
0
Просрочено
0
Свободен
Похожие заказы
* After every loss, It does not increase the lot sizes gradually. For example, after a loss of 0.01, it goes straight to 0.05 lots. It does not follow progressive order. 0.01;0.02;0.03;0.04;0.05... etc. From 0.01, it goes straight to 0.05 * Also If there is a win, it does not return to 0.01 it continues on the last lot size 0.06. After every win the EA should start again at 0.01 * I would also like to adjust the
Società di investimento con attività tra Sanremo e Monaco ricerca un giovane collaboratore con esperienza nell’utilizzo avanzato di MetaTrader 5. Si richiede la conoscenza della lingua italiana e inglese. Attività Il collaboratore si occuperà di: • eseguire backtest di strategie di trading su MT5 • effettuare ottimizzazioni parametri tramite Strategy Tester • analizzare risultati e robustezza delle strategie •
I want to create a loss recovery account.I have a zone recovery EA.It sometimes gives more buy sell entries than the target. This causes a lot of loss. I want to create an EA to reduce that loss by 40% to 50%. Example: My EA has lost $2200 with a buy sell entry. Now the new EA will give an entry that can reduce the loss from $2200 to $700
I am looking for an experienced MT5 developer to build a custom, aggressive XAUUSD scalping EA with structured basket management and momentum continuation logic. This is not a generic EA — it requires careful architecture and proper risk control. Key Requirements: Instrument & Timeframes: XAUUSD only M1 execution chart M5/M15 for directional bias and structure context Execution & Basket Logic: Aggressive basket-style
I need any highly profitable MT5 robot which trades any sythetic indices on deriv very profitably. It should have good risk management and any good strategy The EA should have good risk management and can trade small accounts like 50 - 100USD Developers who have already made robots have higher chance
CHOSEN'S BOT 30 - 50 USD
I need a scalping AI that is based on proper risk management. I want my AI to be 90%-100% profitable, it must be able to analyze the behavior of the market and take trades on it's own as the market goes.My AI must be able to work on the 1min, 5mins,15mins, 30mins and 1hour time frame only. Developer must produce your own strategy ideas for it to be highly profitable. The AI must have SL and TP. This AI must work only
I am seeking an experienced MQL5 developer to build a fully automated Expert Advisor (EA) based on Opening Range Breakout (ORB) and Fair Value Gap (FVG) concepts. The developer must have a strong understanding of these strategies and agree to the following requirements: ✅ Project Requirements & Terms 1. Functional EA Demonstration (Mandatory) The developer must demonstrate a fully functional EA that operates exactly
Mk 30+ USD
I need a fully automated trading robot designed to generate consistent profits while strictly controlling risk and minimizing losses. The robot should use a combination of strategies, including trend-following, scalping, and price action, and must be able to adapt to different market conditions such as trending and ranging markets. It should analyze the market using indicators like Moving Averages, RSI, MACD, and
Seeking developer service to code an EA. Interested developer must have good experience and understanding on how ORB and FVG works, and agreed to the terms below : 1. Shall demonstrate a fully functional EA that operates as specified in the requirement and function automatically as requested in real-time environment (forward test - demo/live), regardless of good results obtained in strategy-tester. Backtesting
Hey guys, looking for a crazy good EA / Indicator that can either help me for futures trading (eg. Topstep, Lucid Trading etc) https://t.me/nqsniperz - telegram Or looking for a CFD EA that i can run on personal accounts Budget is very high and negotiable. https://t.me/nqsniperz

Информация о проекте

Бюджет
10000+ USD