Техническое задание
//@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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MT5 EA Development / Enhancement
50 - 100 USD
Hello Developers, I am looking for an experienced MQL5 developer to complete the development of a custom MetaTrader 5 Expert Advisor (EA) based on my proprietary trading strategy. I already have a partially developed EA that includes the required custom indicators and part of the trading logic. The project can either be completed by modifying the existing EA or, if more appropriate, by rebuilding it from scratch
Hello Developers, I want to build a custom Expert Advisor (EA) for MetaTrader 5 (MT5) to trade Gold (XAUUSD) and Bitcoin (BTCUSD). This will be based on my own custom strategy. Here are the project requirements: 1. Platform: MetaTrader 5 (MQL5) 2. Trading Assets: Gold (XAUUSD) and Bitcoin (BTCUSD) 3. Timeframe: Suitable for multi-timeframe execution (I will specify the exact timeframes in private chat) 4. Core
Poptavka ZN
35 - 40 USD
Požadavky: platforma MetaTrader 5, jazyk MQL5; předání úplného a čitelného zdrojového kódu .mq5 a všech potřebných .mqh souborů; zákazů knihoven, DLL, vzdálených serverů a externí licenční kontroly; zákaz martingale, gridu, navyšování pozice po ztrátě a obchodování bez stop-lossu; výpočet velikosti pozice podle procenta rizika a skutečné měny účtu; nastavitelné maximální denní riziko a celkové čerpání; ochrana proti
Buying profitable EA(Budget up to 10k)
100 - 10000 USD
I will pay 10k (negotiable) for an EA for existing MT5 that generates a minimum of 5% or higher a month consistently Please send demo version with optimal settings so I can test, if it performs in a strategy tester i will also need option to forward test it in a demo account. You will provide me with the.ex5 file with an expiration of 1 week, so that I can test the EA first on demo account. Developer should be
Trading EA Read description
100 - 800 USD
I am looking for a profitable daily trading system. It can trade any pair of the following, Gold, EURUSD,GBPUSD so either of these three pairs. If it does trade other pairs and is very profitable then send proof. The system shouldnt be a risky system like a blind martingale. It needs to trade everyday and be profitable. It shouldnt be spread sensitive. Ideally i need the system on MT5 but if its on mt4 i can accept
Great Martingale with Series
30+ USD
The Great Martingale and Classic Martingale will be coded selectively in one . The Coder should know well both of Great and Classic Martingale and calculation of both of their lot sizing. Should understand the below Formulas of lot sizing after one loss or consecutive loses. if not understand the below please do not apply . A different trailing stop which calculates all profits/losses in a serie will be applied
Our advanced automated trading robot is designed to analyze the financial markets and execute trades without requiring constant manual intervention. Using intelligent algorithms, it monitors market trends, price movements, and technical indicators in real time to identify potential trading opportunities. The robot automatically opens, manages, and closes trades based on its predefined strategy, helping to remove
Description: I need an experienced MQL5 developer to build a professional MT5 Expert Advisor for XAU/USD based on my trading strategy. I require the full .mq5 source code and the compiled file. Trading Logic: Timeframes: H4 to determine overall direction, H1 for supply and demand zones, M15 for trade entries. Buy conditions: H4 trend is bullish, price reaches a valid H1 demand zone, liquidity sweep occurs below the
I'm looking for an experienced Python developer with a strong understanding of market microstructure, order flow, and electronic trading to help build a research-driven gold trading system. This is not a typical indicator or retail trading bot. The project focuses on analysing COMEX Gold Futures Market-by-Order (MBO) data to detect institutional order-flow behaviour and generate trading signals for XAUUSD (MetaTrader
WORKING EA
35+ USD
I Need an existing proven profitable EA. EA should have at least 3 months track record of consistency. My budget is $35 and nothing more. If you do not have the working EA for that amount, please do not apply. I'm not paying a dime more. Again do not apply if you are not willing to take the above amount
Информация о проекте
Бюджет
10000+ USD