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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I need fully automatic scalping robots for XAUUSD Gold the robot should work on M1 and M5 timeframe and open trades based on the scalping logic using EMA and RSI confirmation it should analyze the market on its own and only take high probability trades
I am looking for an experienced MQL5 / MetaTrader 5 developer to help me add alert notifications to an existing MT5 indicator. What I Have I have an indicator that I am currently using on MetaTrader 5 , but I do not have the source code (.mq5) . I only have the compiled indicator file, or I can provide the indicator file that I currently have. What I Need I want to add alerts when the indicator generates its specific
I need best scalping bot
150 - 300 USD
I have attached the video of the EA I want to reproduce in MQL5. Please study the video carefully and build an EA that follows the same trading behavior shown in it. The EA is for XAUUSD (Gold) and appears to use an automated scalping/grid-style strategy with multiple positions opened around the market price. I want the entry sequence, spacing between positions, lot progression, direction of trades, and
New EA for Moj1367
50 - 100 USD
//@version=6 strategy("Ultimate + 11 Filters Bot [M1 - 0.5 pip TP]", overlay=true, max_boxes_count=500, max_labels_count=500, max_lines_count=500, max_bars_back=5000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital=1000, commission_type=strategy.commission.percent, commission_value=0.04) // ═══════════════════════════════════════════════════════════ // 1. تنظیمات ورودی (Inputs)
I need an MT5 EA (MQL5) specifically for XAUUSD, trading price gaps when the market opens/reopens. The EA needs 2 independent strategies: 1. Weekend/Monday Gap: Record the last price before the market closes for the weekend and the first price when XAUUSD reopens at the beginning of the week. Calculate the gap size. When the gap meets the required conditions, the EA trades in the direction of the Gap Fill. Gap Up →
Best performing EA MT5
30 - 1000 USD
I am looking for a reliable MQL4/MQL5 EA that creates orders automatically. If anyone has a good-performing EA available for sale, please share it with verified live trading results or a genuine live track record . I am ready to purchase, but live performance proof is mandatory . Please share the live account results, trading history, and EA details before discussing the purchase
Hi In my current EA, you must edit this robot in an Instagram-based mode to construct robots. My old Robot Pending Order is designed to put merely in order, making it easy to update. I've included a link to the rar file, which is plainly referenced in the video. The strategy behind this work is detailed, as are the Instagram videos that are linked to the chart. As shown in this Instagram video link, we need a robot
I’m looking for an experienced MQL5 / MT5 developer to build an EA that acts as a connector between a user’s MT5 trading account and our own web-based performance tracking platform. The concept is similar to platforms like Myfxbook or ShowMyTrades , where users can connect their trading account and automatically track their trading performance, including trade history, profit/loss, win rate, drawdown, account
Account size 50$ to 100$ or 5000USC to 10000USC ( Account $ Size may not matter ) Max Leverage 1000-2000 Min Lot 0.01 [ if averaging possible ] Averaging + Shift TP Faster Required if Trend Direction is Clear Account Protection Maxx Profit Max Loss Key Based Activation News Filter Need Expert to handle this to avoid false entry [ Developer can suggest extra additional filters inputs here ] as i mentioned I have no
Build a Forex Multi-Basket Trading Bot for OANDA (Python v20 REST API Only) MANDATORY DEVELOPER REQUIREMENTS (PLEASE READ BEFORE APPLYING): Do not apply for this project unless you meet the following strict professional criteria: 1. Deep Mathematical & Quantitative Background: You must thoroughly understand statistical distributions, rolling standard deviations (σ), calculating matrix medians, and dynamic Z-score
Project information
Budget
10000+ USD