명시
//@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)
응답함
1
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기한 초과
100
22%
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2
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8
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6
33%
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33%
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0
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3
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596
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64
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147
25%
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게재됨: 1 기고글, 22 코드
4
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5
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624
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37
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11
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6
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945
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309
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125
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7
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Fix and optimize an existing Bybit trading bot so the profit target closes and reopens trades continuously (accumulation cycle) , while the withdrawal threshold pauses the bot, converts funds, withdraws profit, resets accumulation, and resumes trading . Current issue: the bot stops after hitting profit , which must be corrected. Demo video required after completion
Fix and optimize an existing Bybit trading bot so the profit target closes and reopens trades continuously (accumulation cycle) , while the withdrawal threshold pauses the bot, converts funds, withdraws profit, resets accumulation, and resumes trading . Current issue: the bot stops after hitting profit , which must be corrected. Demo video required after completion
Oluwaleye Blessing Olumide
30+ USD
We're looking for a highly motivated and detail-oriented individual to fill a key position in our team. The successful candidate will be responsible for driving projects forward, analyzing complex data, and collaborating with cross-functional teams to achieve business objectives. The role requires exceptional problem-solving skills, effective communication, and adaptability in a fast-paced environment. If you're a
EA DEVELOPMENT
50+ USD
Hello, I’m interested in developing an Expert Advisor (EA). I will send you the details and examples of the type of EA I need. Please log in and review them so you can understand my requirements
Mt5 alert fix
40+ USD
i have a indicator on mt5 im using it right now , you can see the performance attached Am using the Ma filter to avoid false signals I developed this indicator myself But the signals are delaying in alerting Check if you can perfect and if you Can you work on it let me know Let me know if there anything you can do to make it perfect without lagging or delaying
An Expert Advisor (EA) robot that uses market movement-based indicators is an automated program designed for platforms like MetaTrader 4 or 5 (MT4/MT5) that monitors price fluctuations and triggers trades based on predefined technical rules. These robots, often used for trend following, scalping, or breakout strategies, analyze price action, moving averages, or volatility to automatically enter and exit trades
FPi
50 - 60 USD
The main things are the Tradovate bridge to fee bid ask price as shown in the diagram Breaking news ( Not just economic releases) on vertical lines ( not necessarily from Twitter) Entries based on candle stick pattern( consecutive candle, hammer, engulfing shooting star and inside bar) and failed entry count email alert. Bid ratio, strength indicator and csi with alert from here
Scalping EA MT5
30 - 70 USD
PHẦN 1: TIẾNG VIỆT (Cho các nhóm VN) Tiêu đề: Tìm Coder Pro: Tôi có khung Quản lý vốn/Risk chặt chẽ - Bạn lo chiến thuật "Vua Scalping" phân: Tôi cần đọc mã EA. Tôi có bộ quản lý vốn và rủi ro rất chi tiết. Chiến thuật theo lệnh (Strategy) tôi để bạn Tự QUYẾT (Yêu cầu: Chuẩn bị mở rộng quy mô đa khung, vào chắc chắn và nhiều lệnh). YÊU CẦU CỤ THỂ: 1. Phần Chiến thuật (Bạn lo): * Tự động chọn chỉ báo/phương pháp. *
I already have an EA and willing to work together with a talented professional programmer so that we can make a profitable EA for the long-term. RazorQuant AI | Buy Trading Robot (Expert Advisor) for MetaTrader 5 RAZORQUANT AI v3.7 (MT5 EA) Purpose: Automated trading EA that combines classic technical filters with machine-learning signals and optional external AI (LLM) advice to decide BUY/SELL/HOLD and manage
I’m looking to develop an MT5 Expert Advisor based on a breakout and retracement strategy . Below is the core logic of the EA: Identify and mark the daily high and daily low Place a Buy Stop above the daily high and a Sell Stop below the daily low, using a 40-pip buffer Once a pending order is triggered: Set Stop Loss and Take Profit dynamically using ATR Apply an ATR-based trailing stop If price continues moving in
프로젝트 정보
예산
10000+ USD