수식부탁드립니다. 매수1 수식으로 하루 한번만 진입하고 (진입 안될수도 있음) 매수1 식으로 진입됐다면 청산후, 매수2 식으로 하루 한번만 거래되게 수식부탁드립니다. (수식1 이 진입이 없다면 수식2는 진입 안되게 부탁드립니다)

안녕하세요? 항상 감사드립니다. 아래의 내용을 수식으로 부탁드립니다. KOSPI200선물 5분봉으로 만들려고 합니다. A = 현재종가 - 현재시가 (차이) B = 현재고가 - 현재저가 (차이) E = 현재종가 - 과거7번째종가 (현재종가와 과거7번째 종가와의 차이) G : A가 1보다 크거나 같으면서 B가 1보다 크거나 같으면 2 이고, A가 1보다 크거나 같으면서 B가 1보다 작으면 1 이며 , 그렇지 않으면 0 I = G 의 현재부터 ~ 과거 7번째 까지의 합 (현재+ -1번째 + -2번째 +.... -6번째) K = E / I K가 1보다 크면 매수, K가 -1보다 작으면 매도, 둘다 아니면 직전 포지션 유지

항상 친절한 답변 감사드립니다. 시스템 신호를 일봉으로 종가에 신호가 나면, 그 날은 거래가 끝나게 되는데.. 다음날 시가에 주문이 나가게 되는건가요?

//@version=4 study(title="Equilibriums", shorttitle="Equilibrium", overlay=true) //----------[ First Step: create inputs for equilibrium line periods tenkanPeriods = input(9, minval=1, title="Tenkan-Sen Length") zandakaPeriods1 = input(17, minval=1, title="Zandaka Period 1") kijunPeriods = input(26, minval=1, title="Kijun-Sen Length") zandakaPeriods2 = input(33, minval=1, title="Zandaka Period 2") zandakaPeriods3 = input(42, minval=1, title="Zandaka Period 3") zandakaPeriods4 = input(52, minval=1, title="Zandaka Period 4") zandakaPeriods5 = input(65, minval=1, title="Zandaka Period 5") zandakaPeriods6 = input(76, minval=1, title="Zandaka Period 6") //----------[ Second Step: define the formula for calculating the equilibrium donchian(len) => avg(lowest(len), highest(len)) //----------[ Third Step: Link the inputs to the previously created formula tenkanSen = donchian(tenkanPeriods) zandakaSen1 = donchian(zandakaPeriods1) kijunSen = donchian(kijunPeriods) zandakaSen2 = donchian(zandakaPeriods2) zandakaSen3 = donchian(zandakaPeriods3) zandakaSen4 = donchian(zandakaPeriods4) zandakaSen5 = donchian(zandakaPeriods5) zandakaSen6 = donchian(zandakaPeriods6) //----------[ Last Step: Create the code for plotting (this step is of vital importance as no one likes ugly or unclear indicators) plot(zandakaSen6, linewidth=8, color=color.rgb(255,150,000,60), title="Zandaka-Sen 6") plot(zandakaSen5, linewidth=7, color=color.rgb(255,255,000,60), title="Zandaka-Sen 5") plot(zandakaSen4, linewidth=6, color=color.rgb(000,036,249,60), title="Zandaka-Sen 4") plot(zandakaSen3, linewidth=5, color=color.rgb(139,000,247,40), title="Zandaka-Sen 3") plot(zandakaSen2, linewidth=4, color=color.rgb(226,159,226,00), title="Zandaka-Sen 2") plot(kijunSen, linewidth=3, color=color.rgb(227,000,034,20), title="Kijun-Sen") plot(zandakaSen1, linewidth=1, color=color.rgb(038,186,030,40), title="Zandaka-Sen 1") plot(tenkanSen, linewidth=3, color=color.rgb(000,152,116,00), title="Tenkan-Sen")

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // &#169; LeafAlgo //@version=5 indicator("Moving Average Contrarian Indicator", overlay=false) length = input(40, "Moving Average Length") src = close // Calculate moving average ma = ta.sma(src, length) // Calculate distance from price to moving average distance = src - ma // Calculate normalized MACI distance_min = ta.lowest(distance, length) distance_max = ta.highest(distance, length) maci = ((distance - distance_min) / (distance_max - distance_min)) * 100 // Determine barcolor and background color conditions maci_sma = ta.sma(maci, length) barC = maci > maci_sma and maci > 30 ? color.lime : maci < maci_sma and maci < 70 ? color.fuchsia : color.yellow backC = maci > maci_sma and maci > 30 ? color.new(color.lime, 80) : maci < maci_sma and maci < 70 ? color.new(color.fuchsia, 80) : color.new(color.yellow, 80) // Color barcolor(barC) bgcolor(backC, transp=70) // Plotting plot(maci, title="MACI", color=barC, style=plot.style_histogram, linewidth=4) plot(maci_sma, title='MACI SMA', color=color.maroon, linewidth=2) // Overbought and oversold levels hline(70, "Overbought", color=color.fuchsia) hline(30, "Oversold", color=color.lime)

//@version=5 indicator("Super Secret 200 EMA", overlay=true) length = input(10, "Supertrend Length") multiplier = input.float(3.0, "Supertrend Multiplier") emaPeriod = input(200, "EMA Period") // Calculate Supertrend var float supertrend = na var float highestHigh = na var float lowestLow = na for i = length to 1 if ta.change(close[i]) > 0 highestHigh := math.max(highestHigh, high[i]) else lowestLow := math.min(lowestLow, low[i]) supertrend := ta.change(close) > 0 ? lowestLow + multiplier * ta.atr(length) : highestHigh - multiplier * ta.atr(length) supertrendColor = supertrend > ta.ema(close, emaPeriod) ? color.green : color.red // Calculate 200 EMA ema200 = ta.ema(close, emaPeriod) emaColor = close > ema200 ? color.green : color.red // Plot Supertrend and EMA plot(supertrend, color=supertrendColor, title="Supertrend") plot(ema200, color=emaColor, title="200 EMA") // Determine Buy and Sell Conditions buyCondition = ta.crossover(close, ema200) and close > supertrend sellCondition = ta.crossunder(close, ema200) and close < supertrend // Plot Buy and Sell Signals plotshape(buyCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="Buy") plotshape(sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")

# 질문 # 1분봉 주기에서는 종목검색식의 결과값과 지표식의 값이 틀리다. 무엇이 잘못된것인지요? # 2분봉 이상의 주기에서는 종목검색식의 결과값과 지표식의 값이 같다. #종목검색 속성 : 사용자 설정 검색기간 500봉 var : 단일가V(0), 단일가V비율_2일전(00.00) ; 단일가V = Dayvolume(1) - Dayvolume[1+DayIndex] ; 단일가V비율_2일전 = 단일가V / DayVolume(2) ; /* plot11(Dayvolume(2), "Dayvolume(2)"); plot12(Dayvolume(1), "Dayvolume(1)"); plot14(단일가V, "단일가V"); plot15(단일가V비율_2일전, "단일가V비율_2일전"); */ if 단일가V비율_2일전 >= 0.1 Then Find(단일가V비율_2일전) ;

indicator(title="Trend Indicator", shorttitle="Trend Analyzer", overlay=true, max_bars_back=(2000)) //@version=5 // Created by @erossini.tr // Inputs string ccolortp = "Color candle based on volumetric pressure compared to non-volumetric averages, confluence of fast and slow period" mode = input.string(defval = "Ichimoku", title = "Indicator", options = ["Ichimoku", "Channel and Bands", "None"]) bandinput = input.bool(defval = false, title = "Enable extentions zone") ccolorinput = input.bool(defval = true, title = "Enable candle color", tooltip = ccolortp) string ichi = "Ichimoku" string bands = "Bands and Channel" flmode = input.string(defval = "Classic mode", title = "Fast lines mode", options = ["Volume averages", "Classic mode"], group = ichi) ssamode = input.string(defval = "Auto", title = "SSA line mode", options = ["Volume average", "Classic mode", "Mixed", "Auto"], group = ichi) ssbmode = input.string(defval = "VWMA", title = "SSB line mode", options = ["VWMA", "Classic"], group = ichi) // Ichimoku conversionPeriods = input(11, title = "Fast Line", group = ichi) basePeriods = input(26, title = "Slow Line", group = ichi) lnt = input(89, title = "SSB Line", group = ichi) conv2 = ta.vwma(close, conversionPeriods) base2 = ta.vwma(close, basePeriods) conversionLine = math.avg(ta.lowest(conversionPeriods), ta.highest(conversionPeriods)) baseLine = math.avg(ta.lowest(basePeriods), ta.highest(basePeriods)) leadLine1 = math.avg(conversionLine, baseLine) leadLine12 = math.avg(conv2, base2) leadLine13 = math.avg(conv2, base2, conversionLine, baseLine) leadLine2 = ta.vwma(close, lnt) leadline21 = math.avg(ta.lowest(lnt), ta.highest(lnt)) // Trama ama = 0.00 lengthTR = input(34, title = "Trama Backline Lenght", group = ichi) hh = math.max(math.sign(ta.change(ta.highest(lengthTR))),0) ll = math.max(math.sign(ta.change(ta.lowest(lengthTR))*-1),0) tc = math.pow(ta.sma(hh or ll ? 1 : 0,lengthTR),2) ama := nz(ama[1]+tc*(close-ama[1]),close) // Bands and channel source = hlc3 mode3 = input.string(defval = "Channel", title = "Mode", options = ["Channel", "Bands"], group = bands) period = input(title = "Period", defval = 34, group = bands) multi = input(title = "Multiplier", defval = 3.14, group = bands) smooth = input(defval = 1, title = "Smoothing value", group = bands) sma = ta.vwma(source, period) // Keltner Channel f_kc(src, length, mult, useTrueRange) => float basis = sma float span = (useTrueRange) ? ta.tr : (high - low) float rangeEma = ta.ema(span, length) [basis, basis + rangeEma * mult, basis - rangeEma * mult] [kcmiddle, kcupper, kclower] = f_kc(source, period, multi, true) // Bollinger Bands f_bb(src, length, mult) => float basis2 = sma float dev = multi * ta.stdev(source, period) [basis2, basis2 + dev, basis2 - dev] [bbmiddle, bbupper, bblower] = f_bb(close, 5, 4) // Plot plotmiddle = if mode3 == "Channel" (ta.sma(kcmiddle, smooth)) else if mode3 == "Bands" (ta.sma(bbmiddle, smooth)) plotupper = if mode3 == "Channel" (ta.sma(kcupper, smooth)) else if mode3 == "Bands" (ta.sma(bbupper, smooth)) plotlower = if mode3 == "Channel" (ta.sma(kclower, smooth)) else if mode3 == "Bands" (ta.sma(bblower, smooth)) // Candle color Lenghtfast = 11 Lenghtslow = 89 colorup = #2962ff colordown = #e91e63 a1 = ta.sma(hlc3, Lenghtfast*2) a2 = ta.vwma(hlc3, Lenghtfast) a3 = ta.sma(hlc3, Lenghtslow*2) a4 = ta.vwma(hlc3, Lenghtslow) c3 = if a1 > a2 and a3 > a4 and ccolorinput == true (colordown) else if a1 < a2 and a3 < a4 and ccolorinput == true (colorup) barcolor(c3) // Extension zones [middle2, upper2, lower2] = ta.kc(close, 200, 12, false) [middle3, upper3, lower3] = ta.kc(close, 200, 23, false) g1 = if bandinput == true upper2 g2 = if bandinput == true upper3 g3 = if bandinput == true lower2 g4 = if bandinput == true lower3 h1 = plot(g1, color = color.new(color.gray, 100), editable = false) h2 = plot(g2, color = color.new(color.gray, 100), editable = false) h3 = plot(g3, color = color.new(color.gray, 100), editable = false) h4 = plot(g4, color = color.new(color.gray, 100), editable = false) fill(h3, h4, color = color.new(#2962ff, 85), title = "Lower zone") fill(h1, h2, color = color.new(#e91e63, 85), title = "Upper zone") // Plot displacement = input(26, title = "Forward displacement", group = ichi) backdisp = input(30, title = "Backwards displacement", group = ichi) p9 = if ssbmode == "VWMA" p9 = leadLine2 else if ssbmode == "Classic" p9 = leadline21 x1 = if flmode == "Volume averages" x1 = conv2 else if flmode == "Classic mode" x1 = conversionLine x2 = if flmode == "Volume averages" x2 = base2 else if flmode == "Classic mode" x2 = baseLine u1 = if ssamode == "Volume average" u1 = leadLine12 else if ssamode == "Classic mode" u1 = leadLine1 else if ssamode == "Mixed" u1 = leadLine13 else if ssamode == "Auto" u1 = math.avg(x1, x2) kjuncol = conversionLine > baseLine ? #2962ff : conversionLine < baseLine ? #e91e63 : color.gray q1 = if mode == "Ichimoku" x1 q2 = if mode == "Ichimoku" x2 q3 = if mode == "Ichimoku" u1 q4 = if mode == "Ichimoku" p9 q5 = if mode == "Ichimoku" ama q6 = if mode == "Channel and Bands" plotmiddle q7 = if mode == "Channel and Bands" plotupper q8 = if mode == "Channel and Bands" plotlower plot(q1, color=color.gray, title="Conversion Line") plot(q2, color=kjuncol, linewidth=2, title="Base Line") p8 = plot(q3, offset = displacement, color=#2962ffb4, title="SSA") p3 = plot(q4, offset = displacement, color=#e91e62b2, title="SSB") fill(p8, p3,color.rgb(134, 134, 134, 77), title = "Kumo Cloud") plot(q5, color = color.rgb(149, 0, 179, 10), offset = -backdisp, title = "Backline", style = plot.style_circles) plot(q6, color = color.gray, title = "Middle line") p10 = plot(q8, color = #2962ff, title = "Lower line") p20 = plot(q7, color = #e91e63, title = "Upper line") fill(p10, p20, color = color.new(color.gray, 90), title = "Channel Background")

//@version=4 //By Glaz, Modified // study("QQE MOD") RSI_Period = input(6, title='RSI Length') SF = input(5, title='RSI Smoothing') QQE = input(3, title='Fast QQE Factor') ThreshHold = input(3, title="Thresh-hold") // src = input(close, title="RSI Source") // // Wilders_Period = RSI_Period * 2 - 1 Rsi = rsi(src, RSI_Period) RsiMa = ema(Rsi, SF) AtrRsi = abs(RsiMa[1] - RsiMa) MaAtrRsi = ema(AtrRsi, Wilders_Period) dar = ema(MaAtrRsi, Wilders_Period) * QQE longband = 0.0 shortband = 0.0 trend = 0 DeltaFastAtrRsi = dar RSIndex = RsiMa newshortband = RSIndex + DeltaFastAtrRsi newlongband = RSIndex - DeltaFastAtrRsi longband := RSIndex[1] > longband[1] and RSIndex > longband[1] ? max(longband[1], newlongband) : newlongband shortband := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? min(shortband[1], newshortband) : newshortband cross_1 = cross(longband[1], RSIndex) trend := cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1) FastAtrRsiTL = trend == 1 ? longband : shortband //////////////////// length = input(50, minval=1, title="Bollinger Length") mult = input(0.35, minval=0.001, maxval=5, step=0.1, title="BB Multiplier") basis = sma(FastAtrRsiTL - 50, length) dev = mult * stdev(FastAtrRsiTL - 50, length) upper = basis + dev lower = basis - dev color_bar = RsiMa - 50 > upper ? #00c3ff : RsiMa - 50 < lower ? #ff0062 : color.gray // // Zero cross QQEzlong = 0 QQEzlong := nz(QQEzlong[1]) QQEzshort = 0 QQEzshort := nz(QQEzshort[1]) QQEzlong := RSIndex >= 50 ? QQEzlong + 1 : 0 QQEzshort := RSIndex < 50 ? QQEzshort + 1 : 0 // Zero = hline(0, color=color.white, linestyle=hline.style_dotted, linewidth=1) //////////////////////////////////////////////////////////////// RSI_Period2 = input(6, title='RSI Length') SF2 = input(5, title='RSI Smoothing') QQE2 = input(1.61, title='Fast QQE2 Factor') ThreshHold2 = input(3, title="Thresh-hold") src2 = input(close, title="RSI Source") // // Wilders_Period2 = RSI_Period2 * 2 - 1 Rsi2 = rsi(src2, RSI_Period2) RsiMa2 = ema(Rsi2, SF2) AtrRsi2 = abs(RsiMa2[1] - RsiMa2) MaAtrRsi2 = ema(AtrRsi2, Wilders_Period2) dar2 = ema(MaAtrRsi2, Wilders_Period2) * QQE2 longband2 = 0.0 shortband2 = 0.0 trend2 = 0 DeltaFastAtrRsi2 = dar2 RSIndex2 = RsiMa2 newshortband2 = RSIndex2 + DeltaFastAtrRsi2 newlongband2 = RSIndex2 - DeltaFastAtrRsi2 longband2 := RSIndex2[1] > longband2[1] and RSIndex2 > longband2[1] ? max(longband2[1], newlongband2) : newlongband2 shortband2 := RSIndex2[1] < shortband2[1] and RSIndex2 < shortband2[1] ? min(shortband2[1], newshortband2) : newshortband2 cross_2 = cross(longband2[1], RSIndex2) trend2 := cross(RSIndex2, shortband2[1]) ? 1 : cross_2 ? -1 : nz(trend2[1], 1) FastAtrRsi2TL = trend2 == 1 ? longband2 : shortband2 // // Zero cross QQE2zlong = 0 QQE2zlong := nz(QQE2zlong[1]) QQE2zshort = 0 QQE2zshort := nz(QQE2zshort[1]) QQE2zlong := RSIndex2 >= 50 ? QQE2zlong + 1 : 0 QQE2zshort := RSIndex2 < 50 ? QQE2zshort + 1 : 0 // hcolor2 = RsiMa2 - 50 > ThreshHold2 ? color.silver : RsiMa2 - 50 < 0 - ThreshHold2 ? color.silver : na plot(FastAtrRsi2TL - 50, title='QQE Line', color=color.white, transp=0, linewidth=2) plot(RsiMa2 - 50, color=hcolor2, transp=50, title='Histo2', style=plot.style_columns) Greenbar1 = RsiMa2 - 50 > ThreshHold2 Greenbar2 = RsiMa - 50 > upper Redbar1 = RsiMa2 - 50 < 0 - ThreshHold2 Redbar2 = RsiMa - 50 < lower plot(Greenbar1 and Greenbar2 == 1 ? RsiMa2 - 50 : na, title="QQE Up", style=plot.style_columns, color=#00c3ff, transp=0) plot(Redbar1 and Redbar2 == 1 ? RsiMa2 - 50 : na, title="QQE Down", style=plot.style_columns, color=#ff0062, transp=0)

함수 정의할때 일목균형표 선행스팬1,2 문의 드립니다. 선행스팬1,2는 지금 현재 캔들이 있는 선행스팬1,2와 이미 앞에 나와있는 선행스팬1,2 두가지가 있는데요 각각 어떻게 함수 정의를 해야 하나요? A=현재 캔들이 있는 선행스팬1 B=26봉 전 앞에 나와있는 선행스팬1(앞구름) C=현재 캔들이 있는 선행스팬2 D=26봉 전 앞에 나와있는 선행스팬2(앞구름) 로 분류해서 설명 부탁드립니다.