Specification
//@version=5indicator("Infinity and Sniper by Leo", overlay=true, precision=0, explicit_plot_zorder=true, max_labels_count=500)
// Get user inputemaEnergy = falsesensitivity = input.float(6, " Sensitivity (0.5 - 10)", 0.5, 10, step=0.1)keltner_length = 10atrPeriod = 10factor = 3.5
// Keltner Channel functionkeltner_channel(src, length) =>ma = ta.sma(src, length)rangec = high - lowupper = ma + rangeclower = ma - rangec[upper, lower]
// Modified Supertrend function using Keltner Channelsupertrend(_src, factor, atrLen, kel_length) =>[upperKeltner, lowerKeltner] = keltner_channel(_src, kel_length)rangec = upperKeltner - lowerKeltnerupperBand = _src + factor * rangeclowerBand = _src - factor * rangecprevLowerBand = nz(lowerBand[1])prevUpperBand = nz(upperBand[1])lowerBand := lowerBand > prevLowerBand or close[1] < prevLowerBand ? lowerBand : prevLowerBandupperBand := upperBand < prevUpperBand or close[1] > prevUpperBand ? upperBand : prevUpperBandint direction = nafloat superTrend = naprevSuperTrend = superTrend[1]
if na(rangec[1])direction := 1else if prevSuperTrend == prevUpperBanddirection := close > upperBand ? -1 : 1elsedirection := close < lowerBand ? 1 : -1superTrend := direction == -1 ? lowerBand : upperBand[superTrend, direction]
// Get Componentsema1 = 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)
// Colorsgreen = #2BBC4Dred = #C51D0B
emaEnergyColor(ma) =>if na(ma)color.gray // o cualquier otro color predeterminadoelseemaEnergy ? (close >= ma ? green : red) : na
// Plotsplot(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
//-- InputsmaType = input.string('McGinley', 'Filter', options=['EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'Kijun', 'McGinley', 'RMA'])Period1 = 3Period2 = 7Period3 = 20PipsMinSepPercent = input(60, 'Filter Strength')
//-- Moving Averagema(type, src, len) =>float result = 0if type == 'SMA' // Simpleresult := ta.sma(src, len)resultif type == 'EMA' // Exponentialresult := ta.ema(src, len)resultif type == 'DEMA' // Double Exponentiale = ta.ema(src, len)result := 2 * e - ta.ema(e, len)resultif type == 'TEMA' // Triple Exponentiale = ta.ema(src, len)result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len)resultif type == 'WMA' // Weightedresult := ta.wma(src, len)resultif type == 'VWMA' // Volume Weightedresult := ta.vwma(src, len)resultif type == 'SMMA' // Smoothedw = ta.wma(src, len)result := na(w[1]) ? ta.sma(src, len) : (w[1] * (len - 1) + src) / lenresultif type == 'RMA'result := ta.rma(src, len)resultif type == 'HMA' // Hullresult := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))resultif type == 'LSMA' // Least Squaresresult := ta.linreg(src, len, 0)resultif type == 'Kijun' //Kijun-senkijun = math.avg(ta.lowest(len), ta.highest(len))result := kijunresultif type == 'McGinley'mg = 0.0mg := na(mg[1]) ? ta.ema(src, len) : mg[1] + (src - mg[1]) / (len * math.pow(src / mg[1], 4))result := mgresultresult
//-- Braid Filterma01 = 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
//-- PlotsBraidColor = 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) : nasell = 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 : 0trendColor = trendCatcher == 1 ? color.rgb(90, 23, 102) : nabarcolor(trendColor)// Colored candlesbarcolor(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) : #00DBFFbearcolorr = colorsr == 'DARK' ? color.rgb(255, 0, 0) : #E91E63
ShowTEX = input.bool(true, "Show Take Profit Signals")TE1 = trueTE2 = trueTE3 = true//TE4 = input(true, 'TE - 4' , group="Money Moves [Trend Exhaustion]" , inline = "TEX")
rsiLengthInput = 22rsiSourceInput = closemaTypeInput = 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)
// SHORTshort1 = ta.crossunder(rsi66, 70)short2 = ta.crossunder(rsi66, 80)short3 = ta.crossunder(rsi66, 85)//short4 = ta.crossunder(rsi66, 90)
// LONGplotshape(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")
// SHORTplotshape(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 = 40src = hl2Multiplier = input.float(title='Sensitivity', step=0.1, defval=7.2)changeATR = trueshowsignals = 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) : atr2up = src - Multiplier * atrup1 = nz(up[1], up)up := close[1] > up1 ? math.max(up, up1) : updn = src + Multiplier * atrdn1 = nz(dn[1], dn)dn := close[1] < dn1 ? math.min(dn, dn1) : dntrend = 1trend := nz(trend[1], trend)trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trendupPlot = 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] == -1plotshape(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] == 1plotshape(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 : #ffffff00shortFillColor = highlighting ? trend == -1 ? #ff52520e : #ffffff00 : #ffffff00fill(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 Colorsvar color barColor = naif (sellSignal)barColor := color.redelse if (buySignal)barColor := color.greenelsebarColor := barColor[1]
barcolor(barColor)//------------------------------------------------------------------------------// === OPTIMUM SNIPER V.1 ===//------------------------------------------------------------------------------
//Get user settingsshowBuySell = 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")// Functionssmoothrng(x, t, m) =>wper = t * 2 - 1avrng = ta.ema(math.abs(x - x[1]), t)smoothrng = ta.ema(avrng, wper) * mrngfilt(x, r) =>rngfilt = xrngfilt := x > nz(rngfilt[1]) ? x - r < nz(rngfilt[1]) ? nz(rngfilt[1]) : x - r : x + r > nz(rngfilt[1]) ? nz(rngfilt[1]) : x + rpercWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100securityNoRep(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 : nalh = pivHi and pivHi < last_pivHi ? pivHi : nahl = pivLo and pivLo > last_pivLo ? pivLo : nall = 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 : 0f_findDivs(src, topLimit, botLimit) =>fractalTop = f_fractalize(src) > 0 and src[2] >= topLimit ? src[2] : nafractalBot = f_fractalize(src) < 0 and src[2] <= botLimit ? src[2] : nahighPrev = 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] < highPrevbullSignal = fractalBot and low[2] < lowPrice and src[2] > lowPrev[bearSignal, bullSignal]// Get componentssource = closesmrng1 = smoothrng(source, 27, 1.5)smrng2 = smoothrng(source, 55, sensitivity1)smrng = (smrng1 + smrng2) / 2filt = 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 > 0bearCond = bool(na), bearCond := source < filt and source < source[1] and dn2 > 0 or source < filt and source > source[1] and dn2 > 0lastCond = 0, lastCond := bullCond ? 1 : bearCond ? -1 : lastCond[1]bull1 = bullCond and lastCond[1] == -1bear1 = bearCond and lastCond[1] == 1countBull = ta.barssince(bull1)countBear = ta.barssince(bear1)trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0ribbon1 = 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 > emaequal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.issecondshigher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.issecondstoo_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10)securityNoRep1(sym, res, src) =>bool bull_ = nabull_ := 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 wtDivBull2wtDivBear = wtDivBear1 or wtDivBear2// Colorscyan = #00DBFF, cyan30 = color.new(cyan, 70)pink = #E91E63, pink30 = color.new(pink, 70)red1 = #FF5252, red30 = color.new(red1 , 70)// Plot
srcStop = closeatrBand = srcStop * (percentStop / 120)atrStop = trigger ? srcStop - atrBand : srcStop + atrBandlastTrade(src) => ta.valuewhen(bull or bear, src, 0)entry_y = lastTrade(srcStop)stop_y = lastTrade(atrStop)tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_ytp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_ytp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_ylabelTpSl(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) : nalabel.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) : naline.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)
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Hello, I am looking for a serious and experienced MQL5 developer who also has practical trading experience , not only programming skills. The goal is to develop a professional-grade Expert Advisor / semi-automated trading system suitable for prop firm trading , with a strong focus on: ✅ Quality ✅ Robustness ✅ Risk control ✅ Realistic execution ✅ Professional backtesting ✅ Prop firm-friendly logic This is not a simple
//+------------------------------------------------------------------+ //| $10 Smart Scalping Bot for MT5 | //| EURGBP + AUDUSD + XAGUSD Optimized | //+------------------------------------------------------------------+ #property strict #include <Trade/Trade.mqh> CTrade trade; //========================= INPUTS ================================== input double LotSize = 0.01; input int FastEMA = 20; input int SlowEMA =
1. Project Overview & Strategic Objective We are seeking an elite, senior-level MQL developer to design and engineer a bulletproof, proprietary MT4 non-standard bar generation application. The primary objective of this project is to build an independent, institutional-grade charting infrastructure to permanently eliminate third-party plugin dependency risks (highlighted by legacy solutions like AZ-INVEST going
Hello, I am looking to develop a commercial-grade Expert Advisor for MT5 specifically optimized for XAUUSD (Gold). The underlying logic should be an intelligent, trend-filtered cost-averaging grid system focused on capital preservation. The EA must include the following functional architecture: 1. Core Strategy Structure: - Must feature a multi-strategy logic entry module. I want to use a combination of 3-4 standard
QML MT5 indicator
50+ USD
MT5 Indicator – QML (Quasimodo Left) Pattern I need an experienced MQL5 developer to build a custom MT5 indicator based on the QML Quasimodo pattern as used in SMC/ICT trading. I will attach reference screenshots showing exactly how the pattern should look. The indicator must detect and draw: 1. QML pattern structure — HH, HH, HL, LL swing labels with the QML level drawn as a horizontal dotted line at the last Higher
Am looking for Professional programmer who can build below analysis bot as specified below. The indicators will be provided. 🔷 1. CORE ARCHITECTURE OF YOUR EA Your EA has 3 modes: ✅ Mode 1: Indicator 1 Strategy (9-Signal Engine) ✅ Mode 2: Indicator 2 Strategy (Multi-indicator confluence) ✅ Mode 3: Hybrid Mode (Indicator 1 filters Indicator 2) 🔷 2. PAIR SELECTION LOGIC EA will NOT auto-scan market (based on your
Matriks programında güzel bir stratejim var, meta da kayıtlı olmayan iki indikatörümü de metaya yükledim, stratejim belli, ama robot oluşturmak konusunda bilgim eksik. Yardım istiyorum. Acil dönüş bekliyorum. 12-276 üssel ortalamayı hangi yöne keserse, alphatrend indikaörüde bunu desteklesin, kendi gömdüpüm diğer bir indikatörde seviyelere göre alsın satsın
Hi all I would like a strategy to be developed for LIMT ORDERS strategy for both Buy/sell limit for XAUUSD, US30 & DE30/40 on the M1 or M5 chart . I have my EA but it's not profitable. It should be a Limit order strategy with a profit factor of 2+ when back testing . You should consider that My EA has trailing stop and a trailing limit order. I have experience in coding in MQL4/5, I'm currently struggling I with
Hi i have an expert that takes trade after rsi and stochastic oscillator. Same type of ea for mt4 and mt5 Some of the future or options i have is. I copy this from the old requirement specification. Magic number default to 1= if several ea of this model is in use on different charts different currency pairs max trades and max losing trades is not over runed. If i chose 1 like an example for all off them. Only one
MT5 EA Developer for Structured ICT/SMC Market Logic Requirements Specification: I need an MT5 Expert Advisor only in MQL5. No indicator, no script, no DLL, and no external API. The EA must be built on a rule-based ICT/SMC-style framework with objective, backtestable logic. I am not looking for social-media-style ICT/SMC interpretation. I need a developer who can convert trading concepts into clear coding rules. The
Project information
Budget
10000+ USD