交易条件
多头入场: QQE Mod变为蓝色 SSL Hybrid为蓝色,价格高于MA通道线 Waddah Attar爆炸为绿色,位于爆炸线上方
空头入场: QQE Mod变为红色 SSL Hybrid为红色,价格低于MA通道线 Waddah Attar爆炸为红色,位于爆炸线上方
风险管理: 每笔交易的风险为账户的2%(可在设置中配置) SL大小由之前XBAR的低/高摆动决定(可在设置中配置) SSL混合退出箭头信号触发TP
提示:时间框架:就我个人而言,我发现在1小时的时间框架内运行此功能效果最佳。 注意:为了帮助直观识别交易入口和出口,您可能希望将SSL Hybrid和Waddah Attar Explosion分别添加到图表中。它们被用来确定本战略代码中的贸易进入/退出,但不可能在单个面板中以清晰的方式显示它们。如果决定添加辅助指示器,请确保将其设置为与此指示器的设置相匹配。
回测测试
/*backtest start: 2022-01-01 09:00:00 end: 2022-06-05 15:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_CTP","currency":"FUTURES"}] args: [["ContractType","rb888",360008]] */ // Strategy based on the 3 indicators: // - QQE MOD // - SSL Hybrid // - Waddah Attar Explosion // // Strategy was designed for the purpose of back testing. // See strategy documentation for info on trade entry logic. // // Credits: // - QQE MOD: Mihkel00 (https://www.tradingview.com/u/Mihkel00/) // - SSL Hybrid: Mihkel00 (https://www.tradingview.com/u/Mihkel00/) // - Waddah Attar Explosion: shayankm (https://www.tradingview.com/u/shayankm/) //@version=5 //strategy("QQE MOD + SSL Hybrid + Waddah Attar Explosion", overlay=false, initial_capital=1000, currency=currency.NONE, max_labels_count=500, default_qty_type=strategy.cash, commission_type=strategy.commission.percent, commission_value=0.01) // ============================================================================= // STRATEGY INPUT SETTINGS // ============================================================================= // --------------- // Risk Management // --------------- swingLength = input.int(10, "最高价/最低价摆动回看周期", group='Strategy: Risk Management', tooltip='Stop Loss is calculated by the swing high or low over the previous X candles') accountRiskPercent = input.float(2, "每笔交易账户损失百分比", step=0.1, group='Strategy: Risk Management', tooltip='Each trade will risk X% of the account balance') // ---------- // Date Range // ---------- start_year = input.int(title='起始年份', defval=2022, minval=2010, maxval=3000, group='Strategy: Date Range', inline='1') start_month = input.int(title='起始月份', defval=1, group='Strategy: Date Range', inline='1', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) start_date = input.int(title='起始日期', defval=1, group='Strategy: Date Range', inline='1', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) end_year = input.int(title='结束年份', defval=2023, minval=1800, maxval=3000, group='Strategy: Date Range', inline='2') end_month = input.int(title='结束月份', defval=1, group='Strategy: Date Range', inline='2', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) end_date = input.int(title='结束日期', defval=1, group='Strategy: Date Range', inline='2', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) //in_date_range = time >= timestamp(syminfo.timezone, start_year, start_month, start_date, 0, 0) and time < timestamp(syminfo.timezone, end_year, end_month, end_date, 0, 0) // ============================================================================= // INDICATORS // ============================================================================= // ------- // QQE MOD // ------- RSI_Period = input.int(6, title='RSI周期', group='Indicators: QQE Mod Settings') SF = input.int(6, title='RSI平滑', group='Indicators: QQE Mod Settings') QQE = input.int(3, title='快线QQE系数', group='Indicators: QQE Mod Settings') ThreshHold = input.int(3, title='阈值', group='Indicators: QQE Mod Settings') qqeSrc = input(close, title='RSI数据源', group='Indicators: QQE Mod Settings') Wilders_Period = RSI_Period * 2 - 1 Rsi = ta.rsi(qqeSrc, RSI_Period) RsiMa = ta.ema(Rsi, SF) AtrRsi = math.abs(RsiMa[1] - RsiMa) MaAtrRsi = ta.ema(AtrRsi, Wilders_Period) dar = ta.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] ? math.max(longband[1], newlongband) : newlongband shortband := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? math.min(shortband[1], newshortband) : newshortband cross_1 = ta.cross(longband[1], RSIndex) trend := ta.cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1) FastAtrRsiTL = trend == 1 ? longband : shortband length = input.int(50, minval=1, title='布林带周期', group='Indicators: QQE Mod Settings') qqeMult = input.float(0.35, minval=0.001, maxval=5, step=0.1, title='BB乘数', group='Indicators: QQE Mod Settings') basis = ta.sma(FastAtrRsiTL - 50, length) dev = qqeMult * ta.stdev(FastAtrRsiTL - 50, length) upper = basis + dev lower = basis - dev //qqe_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, display=display.none) RSI_Period2 = input.int(6, title='RSI周期', group='Indicators: QQE Mod Settings') SF2 = input.int(5, title='RSI平滑', group='Indicators: QQE Mod Settings') QQE2 = input.float(1.61, title='快线QQE2系数', group='Indicators: QQE Mod Settings') ThreshHold2 = input.int(3, title='阈值', group='Indicators: QQE Mod Settings') src2 = input(close, title='RSI数据源', group='Indicators: QQE Mod Settings') Wilders_Period2 = RSI_Period2 * 2 - 1 Rsi2 = ta.rsi(src2, RSI_Period2) RsiMa2 = ta.ema(Rsi2, SF2) AtrRsi2 = math.abs(RsiMa2[1] - RsiMa2) MaAtrRsi2 = ta.ema(AtrRsi2, Wilders_Period2) dar2 = ta.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] ? math.max(longband2[1], newlongband2) : newlongband2 shortband2 := RSIndex2[1] < shortband2[1] and RSIndex2 < shortband2[1] ? math.min(shortband2[1], newshortband2) : newshortband2 cross_2 = ta.cross(longband2[1], RSIndex2) trend2 := ta.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(RsiMa2 - 50, color=hcolor2, title='Histo2', style=plot.style_columns, transp=50) 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=color.new(#00c3ff, 0)) plot(Redbar1 and Redbar2 == 1 ? RsiMa2 - 50 : na, title='QQE Down', style=plot.style_columns, color=color.new(#ff0062, 0)) // ---------- // SSL HYBRID // ---------- show_Baseline = input(title='显示基线', defval=true) show_SSL1 = input(title='显示SSL1', defval=false) show_atr = input(title='显示ATR带', defval=true) //ATR atrlen = input(14, 'ATR周期') mult = input.float(1, 'ATR系数', step=0.1) smoothing = input.string(title='ATR 平滑', defval='WMA', options=['RMA', 'SMA', 'EMA', 'WMA']) ma_function(source, atrlen) => if smoothing == 'RMA' ta.rma(source, atrlen) else if smoothing == 'SMA' ta.sma(source, atrlen) else if smoothing == 'EMA' ta.ema(source, atrlen) else ta.wma(source, atrlen) atr_slen = ma_function(ta.tr(true), atrlen) ////ATR Up/Low Bands upper_band = atr_slen * mult + close lower_band = close - atr_slen * mult ////BASELINE / SSL1 / SSL2 / EXIT MOVING AVERAGE VALUES maType = input.string(title='SSL1 / 基线类型', defval='HMA', options=['SMA', 'EMA', 'DEMA', 'TEMA', 'LSMA', 'WMA', 'MF', 'VAMA', 'TMA', 'HMA', 'JMA', 'Kijun v2', 'EDSMA', 'McGinley']) len = input(title='SSL1 / 基线周期', defval=60) SSL2Type = input.string(title='SSL2 / 延伸类型', defval='JMA', options=['SMA', 'EMA', 'DEMA', 'TEMA', 'WMA', 'MF', 'VAMA', 'TMA', 'HMA', 'JMA', 'McGinley']) len2 = input(title='SSL 2 延伸周期', defval=5) SSL3Type = input.string(title='退出线类型', defval='HMA', options=['DEMA', 'TEMA', 'LSMA', 'VAMA', 'TMA', 'HMA', 'JMA', 'Kijun v2', 'McGinley', 'MF']) len3 = input(title='退出线周期', defval=15) src = input(title='数据源', defval=close) tema(src, len) => ema1 = ta.ema(src, len) ema2 = ta.ema(ema1, len) ema3 = ta.ema(ema2, len) 3 * ema1 - 3 * ema2 + ema3 kidiv = input.int(defval=1, maxval=4, title='Kijun MOD 分配') jurik_phase = input(title='* Jurik (JMA) Only - 阶段', defval=3) jurik_power = input(title='* Jurik (JMA) Only - 动力', defval=1) volatility_lookback = input(10, title='* Volatility Adjusted (VAMA) Only - 波动率回溯周期') //MF beta = input.float(0.8, minval=0, maxval=1, step=0.1, title='Modular 过滤, 仅通过过滤 - Beta') feedback = input(false, title='Modular 过滤,仅通过过滤 - Feedback') z = input.float(0.5, title='Modular 过滤,仅通过过滤 - Feedback Weighting', step=0.1, minval=0, maxval=1) //EDSMA ssfLength = input.int(title='EDSMA - 超级平滑过滤周期', minval=1, defval=20) ssfPoles = input.int(title='EDSMA - 超级平滑过滤极点', defval=2, options=[2, 3]) //EDSMA get2PoleSSF(src, length) => PI = 2 * math.asin(1) arg = math.sqrt(2) * PI / length a1 = math.exp(-arg) b1 = 2 * a1 * math.cos(arg) c2 = b1 c3 = -math.pow(a1, 2) c1 = 1 - c2 - c3 ssf = 0.0 ssf := c1 * src + c2 * nz(ssf[1]) + c3 * nz(ssf[2]) ssf get3PoleSSF(src, length) => PI = 2 * math.asin(1) arg = PI / length a1 = math.exp(-arg) b1 = 2 * a1 * math.cos(1.738 * arg) c1 = math.pow(a1, 2) coef2 = b1 + c1 coef3 = -(c1 + b1 * c1) coef4 = math.pow(c1, 2) coef1 = 1 - coef2 - coef3 - coef4 ssf = 0.0 ssf := coef1 * src + coef2 * nz(ssf[1]) + coef3 * nz(ssf[2]) + coef4 * nz(ssf[3]) ssf ma(type, src, len) => float result = 0 if type == 'TMA' result := ta.sma(ta.sma(src, math.ceil(len / 2)), math.floor(len / 2) + 1) result if type == 'MF' ts = 0. b = 0. c = 0. os = 0. //---- alpha = 2 / (len + 1) a = feedback ? z * src + (1 - z) * nz(ts[1], src) : src //---- b := a > alpha * a + (1 - alpha) * nz(b[1], a) ? a : alpha * a + (1 - alpha) * nz(b[1], a) c := a < alpha * a + (1 - alpha) * nz(c[1], a) ? a : alpha * a + (1 - alpha) * nz(c[1], a) os := a == b ? 1 : a == c ? 0 : os[1] //---- upper = beta * b + (1 - beta) * c lower = beta * c + (1 - beta) * b ts := os * upper + (1 - os) * lower result := ts result if type == 'LSMA' result := ta.linreg(src, len, 0) result if type == 'SMA' // Simple result := ta.sma(src, len) result if type == 'EMA' // Exponential result := ta.ema(src, len) result if type == 'DEMA' // Double Exponential e = ta.ema(src, len) result := 2 * e - ta.ema(e, len) result if type == 'TEMA' // Triple Exponential e = ta.ema(src, len) result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len) result if type == 'WMA' // Weighted result := ta.wma(src, len) result if type == 'VAMA' // Volatility Adjusted /// Copyright © 2019 to present, Joris Duyck (JD) mid = ta.ema(src, len) dev = src - mid vol_up = ta.highest(dev, volatility_lookback) vol_down = ta.lowest(dev, volatility_lookback) result := mid + math.avg(vol_up, vol_down) result if type == 'HMA' // Hull result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) result if type == 'JMA' // Jurik /// Copyright © 2018 Alex Orekhov (everget) /// Copyright © 2017 Jurik Research and Consulting. phaseRatio = jurik_phase < -100 ? 0.5 : jurik_phase > 100 ? 2.5 : jurik_phase / 100 + 1.5 beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2) alpha = math.pow(beta, jurik_power) jma = 0.0 e0 = 0.0 e0 := (1 - alpha) * src + alpha * nz(e0[1]) e1 = 0.0 e1 := (src - e0) * (1 - beta) + beta * nz(e1[1]) e2 = 0.0 e2 := (e0 + phaseRatio * e1 - nz(jma[1])) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(e2[1]) jma := e2 + nz(jma[1]) result := jma result if type == 'Kijun v2' kijun = math.avg(ta.lowest(len), ta.highest(len)) //, (open + close)/2) conversionLine = math.avg(ta.lowest(len / kidiv), ta.highest(len / kidiv)) delta = (kijun + conversionLine) / 2 result := delta result if type == 'McGinley' mg = 0.0 mg := na(mg[1]) ? ta.ema(src, len) : mg[1] + (src - mg[1]) / (len * math.pow(src / mg[1], 4)) result := mg result if type == 'EDSMA' zeros = src - nz(src[2]) avgZeros = (zeros + zeros[1]) / 2 // Ehlers Super Smoother Filter ssf = ssfPoles == 2 ? get2PoleSSF(avgZeros, ssfLength) : get3PoleSSF(avgZeros, ssfLength) // Rescale filter in terms of Standard Deviations stdev = ta.stdev(ssf, len) scaledFilter = stdev != 0 ? ssf / stdev : 0 alpha = 5 * math.abs(scaledFilter) / len edsma = 0.0 edsma := alpha * src + (1 - alpha) * nz(edsma[1]) result := edsma result result ///SSL 1 and SSL2 emaHigh = ma(maType, high, len) emaLow = ma(maType, low, len) maHigh = ma(SSL2Type, high, len2) maLow = ma(SSL2Type, low, len2) ///EXIT ExitHigh = ma(SSL3Type, high, len3) ExitLow = ma(SSL3Type, low, len3) ///Keltner Baseline Channel BBMC = ma(maType, close, len) useTrueRange = input(true, title="使用TR") multy = input.float(0.2, step=0.05, title='基础通道系数') Keltma = ma(maType, src, len) range_1 = useTrueRange ? ta.tr : high - low rangema = ta.ema(range_1, len) upperk = Keltma + rangema * multy lowerk = Keltma - rangema * multy //Baseline Violation Candle open_pos = open * 1 close_pos = close * 1 difference = math.abs(close_pos - open_pos) atr_violation = difference > atr_slen InRange = upper_band > BBMC and lower_band < BBMC //SSL1 VALUES Hlv = int(na) Hlv := close > emaHigh ? 1 : close < emaLow ? -1 : Hlv[1] sslDown = Hlv < 0 ? emaHigh : emaLow //EXIT VALUES Hlv3 = int(na) Hlv3 := close > ExitHigh ? 1 : close < ExitLow ? -1 : Hlv3[1] sslExit = Hlv3 < 0 ? ExitHigh : ExitLow base_cross_Long = ta.crossover(close, sslExit) base_cross_Short = ta.crossover(sslExit, close) codiff = base_cross_Long ? 1 : base_cross_Short ? -1 : na //COLORS show_color_bar = input(title='K线BAR颜色', defval=true) color_bar = close > upperk ? #00c3ff : close < lowerk ? #ff0062 : color.gray color_ssl1 = close > sslDown ? #00c3ff : close < sslDown ? #ff0062 : na //PLOTS //plotarrow(codiff, colorup=color.new(#00c3ff, 20), colordown=color.new(#ff0062, 20), title='Exit Arrows', maxheight=20, offset=0, display=display.none) p1 = plot(0, color=color_bar, linewidth=3, title='MA Baseline', transp=0) //barcolor(show_color_bar ? color_bar : na) // --------------------- // WADDAH ATTAR EXPLOSION // --------------------- sensitivity = input.int(180, title="灵敏度", group='Indicators: Waddah Attar Explosion') fastLength=input.int(20, title="快线EMA周期", group='Indicators: Waddah Attar Explosion') slowLength=input.int(40, title="慢线EMA周期", group='Indicators: Waddah Attar Explosion') channelLength=input.int(20, title="BB通道周期", group='Indicators: Waddah Attar Explosion') waeMult=input.float(2.0, title="BB标准差周期", group='Indicators: Waddah Attar Explosion') calc_macd(source, fastLength, slowLength) => fastMA = ta.ema(source, fastLength) slowMA = ta.ema(source, slowLength) fastMA - slowMA calc_BBUpper(source, length, mult) => basis = ta.sma(source, length) dev = mult * ta.stdev(source, length) basis + dev calc_BBLower(source, length, mult) => basis = ta.sma(source, length) dev = mult * ta.stdev(source, length) basis - dev t1 = (calc_macd(close, fastLength, slowLength) - calc_macd(close[1], fastLength, slowLength))*sensitivity e1 = (calc_BBUpper(close, channelLength, waeMult) - calc_BBLower(close, channelLength, waeMult)) trendUp = (t1 >= 0) ? t1 : 0 trendDown = (t1 < 0) ? (-1*t1) : 0 plot(trendUp, style=plot.style_columns, linewidth=1, color=(trendUp<trendUp[1]) ? color.lime : color.green, transp=45, title="UpTrend", display=display.none) plot(trendDown, style=plot.style_columns, linewidth=1, color=(trendDown<trendDown[1]) ? color.orange : color.red, transp=45, title="DownTrend", display=display.none) plot(e1, style=plot.style_line, linewidth=2, color=color.yellow, title="ExplosionLine", display=display.none) // ============================================================================= // STRATEGY LOGIC // ============================================================================= // QQE Mod qqeGreenBar = Greenbar1 and Greenbar2 qqeRedBar = Redbar1 and Redbar2 qqeBuy = qqeGreenBar and not qqeGreenBar[1] qqeSell = qqeRedBar and not qqeRedBar[1] // SSL Hybrid sslBuy = close > upperk and close > BBMC sslSell = close < lowerk and close < BBMC // Waddah Attar Explosion waeBuy = trendUp > 0 and trendUp > e1 waeSell = trendDown > 0 and trendDown > e1 inLong = strategy.position_size > 0 inShort = strategy.position_size < 0 //longCondition = qqeBuy and sslBuy and waeBuy and in_date_range //shortCondition = qqeSell and sslSell and waeSell and in_date_range longCondition = qqeBuy and sslBuy and waeBuy shortCondition = qqeSell and sslSell and waeSell swingLow = ta.lowest(source=low, length=swingLength) swingHigh = ta.highest(source=high, length=swingLength) longStopPercent = math.abs((1 - (swingLow / close)) * 100) shortStopPercent = math.abs((1 - (swingHigh / close)) * 100) // Position sizing (default risk 2% per trade) riskAmt = strategy.equity * accountRiskPercent / 100 longQty = math.abs(riskAmt / longStopPercent * 100) / close shortQty = math.abs(riskAmt / shortStopPercent * 100) / close if (longCondition and not inShort and not inLong) strategy.entry("Long", strategy.long, qty=longQty) strategy.exit("Long SL/TP", from_entry="Long", stop=swingLow, alert_message='Long SL Hit') //buyLabel = label.new(x=bar_index, y=high[1], color=color.green, style=label.style_label_up) //label.set_y(id=buyLabel, y=0) //label.set_tooltip(id=buyLabel, tooltip="Risk Amt: " + str.tostring(riskAmt) + " Qty: " + str.tostring(longQty) + " Swing low: " + str.tostring(swingLow) + " Stop Percent: " + str.tostring(longStopPercent)) if (shortCondition and not inLong and not inShort) strategy.entry("Short", strategy.short, qty=shortQty) strategy.exit("Short SL/TP", from_entry="Short", stop=swingHigh, alert_message='Short SL Hit') //sellLabel = label.new(x=bar_index, y=high[1], color=color.red, style=label.style_label_up) //label.set_y(id=sellLabel, y=0) //label.set_tooltip(id=sellLabel, tooltip="Risk Amt: " + str.tostring(riskAmt) + " Qty: " + str.tostring(shortQty) + " Swing high: " + str.tostring(swingHigh) + " Stop Percent: " + str.tostring(shortStopPercent)) openTradesInProfit() => result = 0. for i = 0 to strategy.opentrades-1 result += strategy.opentrades.profit(i) result > 0 exitLong = inLong and base_cross_Short and openTradesInProfit() strategy.close(id = "Long", when = exitLong, comment = "Closing Long", alert_message="Long TP Hit") exitShort = inShort and base_cross_Long and openTradesInProfit() strategy.close(id = "Short", when = exitShort, comment = "Closing Short", alert_message="Short TP Hit") // // ============================================================================= // // DATA WINDOW PLOTTING // // ============================================================================= // plotchar(0, "===========", "", location = location.top, color=#141823) // plotchar(0, "BUY SIGNALS:", "", location = location.top, color=#141823) // plotchar(0, "===========", "", location = location.top, color=#141823) // plotchar(qqeBuy, "QQE Mod: Buy Signal", "", location = location.top, color=qqeBuy ? color.green : color.orange) // plotchar(sslBuy, "SSL Hybrid: Buy Signal", "", location = location.top, color=sslBuy ? color.green : color.orange) // plotchar(waeBuy, "Waddah Attar Explosion: Buy Signal", "", location = location.top, color=waeBuy ? color.green : color.orange) // plotchar(inLong, "inLong", "", location = location.top, color=inLong ? color.green : color.orange) // plotchar(exitLong, "Exit Long", "", location = location.top, color=exitLong ? color.green : color.orange) // plotchar(0, "============", "", location = location.top, color=#141823) // plotchar(0, "SELL SIGNALS:", "", location = location.top, color=#141823) // plotchar(0, "============", "", location = location.top, color=#141823) // plotchar(qqeSell, "QQE Mod: Sell Signal", "", location = location.top, color=qqeSell ? color.red : color.orange) // plotchar(sslSell, "SSL Hybrid: Sell Signal", "", location = location.top, color=sslSell ? color.red : color.orange) // plotchar(waeSell, "Waddah Attar Explosion: Sell Signal", "", location = location.top, color=waeSell ? color.red : color.orange) // plotchar(inShort, "inShort", "", location = location.top, color=inShort ? color.red : color.orange) // plotchar(exitShort, "Exit Short", "", location = location.top, color=exitShort ? color.red : color.orange)template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6