Diese Strategie kombiniert drei öffentliche Indikatoren - Trend Magic, Squeeze Momentum und Cumulative Delta Volume - um extreme Bewegungen auf dem Markt zu erkennen. Diese drei Indikatoren überprüfen sich gegenseitig und können Umkehrpunkte auf dem Markt effektiv identifizieren.
Diese Strategie verwendet ein 1-minütiges oder 3-minütiges Candlestick-Chart mit einem Stop-Loss von 1,5 mal dem ATR vom Schlusskurs.
Erstens beurteilt der Trend Magic Indikator zusammen mit dem ATR Indikator den Trend und die Volatilität des Marktes. Wenn der CCI Indikator über 0 liegt, zeigt er an, dass eine Volatilität stattfindet. Wenn die ATR Indikatorposition zu diesem Zeitpunkt höher als der Preis ist, zeigt sie einen Aufwärtstrend an, andernfalls zeigt sie einen Abwärtstrend an.
Zweitens beurteilt der Squeeze Momentum-Indikator, wann die Volatilität steigt und abnimmt. Wenn Bollinger-Bänder innerhalb der Keltner-Kanäle komprimiert werden, deutet dies darauf hin, dass die Marktvolatilität abnimmt.
Der cumulative Delta Volume-Indikator zieht die Marktkräfte ab, indem er die Differenz zwischen dem Kauf- und dem Verkaufsvolumen berechnet.
Wenn alle drei Indikatoren gleichzeitig Signale geben, bestätigt dies, dass der Markt sich einem Umkehrpunkt nähert.
Diese Strategie verwendet mehrere Indikatoren, um Markttrends zu bestimmen, und eröffnet Positionen, wenn mehrere Indikatoren konsistente Signale geben. Im Vergleich zu einzelnen Indikatoren kann sie mehr falsche Signale herausfiltern. Aber da sie nur auf einem einzigen Zeitrahmen arbeitet, ist sie immer noch anfällig für Trending-Märkte. Die nächsten Schritte könnten sein, fortschrittlichere Techniken wie maschinelles Lernen zu integrieren, um die Performance zu verbessern, oder längere Zeitrahmenindikatoren zu kombinieren, um den Handel gegen den Trend zu vermeiden, wodurch die Strategie unter mehr Marktbedingungen lebensfähig wird.
/*backtest start: 2023-09-25 00:00:00 end: 2023-10-25 00:00:00 period: 2h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © myn //@version=5 strategy('Strategy Myth-Busting #11 - TrendMagic+SqzMom+CDV - [MYN]', max_bars_back=5000, overlay=true, pyramiding=0, initial_capital=1000, currency='USD', default_qty_type=strategy.percent_of_equity, default_qty_value=1, commission_value=0.075, use_bar_magnifier = false) // HA to Regular Candlestick resolover useHA = input.bool(true, "Use Heiken Ashi") CLOSE = close OPEN = open HIGH = high LOW = low CLOSE := useHA ? (OPEN + CLOSE + HIGH + LOW) / 4 : CLOSE OPEN := useHA ? na(OPEN[1]) ? (OPEN + CLOSE) / 2: (OPEN[1] + CLOSE[1]) / 2 : OPEN HIGH := useHA ? math.max(HIGH, math.max(OPEN, CLOSE)) : HIGH LOW := useHA ? math.min(LOW, math.min(OPEN, CLOSE)) : LOW isCrypto = input.bool(true, "Is Crypto?") // Functions f_priorBarsSatisfied(_objectToEval, _numOfBarsToLookBack) => returnVal = false for i = 0 to _numOfBarsToLookBack if (_objectToEval[i] == true) returnVal = true ///////////////////////////////////// //* Put your strategy logic below *// ///////////////////////////////////// // Trend Magic by KivancOzbilgic //░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ period = input(20, 'CCI period') coeff = input(2, 'ATR Multiplier') AP = input(5, 'ATR Period') ATR = ta.sma(ta.tr, AP) src = CLOSE upT = LOW - ATR * coeff downT = HIGH + ATR * coeff MagicTrend = 0.0 MagicTrend := ta.cci(src, period) >= 0 ? upT < nz(MagicTrend[1]) ? nz(MagicTrend[1]) : upT : downT > nz(MagicTrend[1]) ? nz(MagicTrend[1]) : downT color1 = ta.cci(src, period) >= 0 ? #0022FC : #FC0400 plot(MagicTrend, color=color1, linewidth=3) alertcondition(ta.cross(CLOSE, MagicTrend), title='Cross Alert', message='Price - MagicTrend Crossing!') alertcondition(ta.crossover(LOW, MagicTrend), title='CrossOver Alarm', message='BUY SIGNAL!') alertcondition(ta.crossunder(HIGH, MagicTrend), title='CrossUnder Alarm', message='SELL SIGNAL!') i_numLookbackBarsTM = input(17,title="Number of bars to look back to validate Trend Magic trend") //trendMagicEntryLong = trendMagicEntryConditionLong and f_priorBarsSatisfied(trendMagicEntryConditionLong,i_numLookbackBarsTM) //trendMagicEntryShort = trendMagicEntryConditionShort and f_priorBarsSatisfied(trendMagicEntryConditionShort,i_numLookbackBarsTM) trendMagicEntryConditionLong = ta.cci(src, period) >= 0 and src > MagicTrend + (isCrypto ? 5 : 0 ) trendMagicEntryConditionShort = ta.cci(src, period) < 0 and src < MagicTrend - (isCrypto ? 5 : 0) trendMagicEntryLong = trendMagicEntryConditionLong and ta.barssince(trendMagicEntryConditionShort) > i_numLookbackBarsTM trendMagicEntryShort = trendMagicEntryConditionShort and ta.barssince(trendMagicEntryConditionLong) > i_numLookbackBarsTM // Squeeze Momentum by LazyBear //░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ length = input(10, title='BB Length', group="Squeeze Momentum") mult = input(2.0, title='BB MultFactor') lengthKC = input(10, title='KC Length') multKC = input(1.5, title='KC MultFactor') useTrueRange = input(true, title='Use TrueRange (KC)') // Calculate BB source = CLOSE basis = ta.sma(source, length) dev = multKC * ta.stdev(source, length) upperBB = basis + dev lowerBB = basis - dev // Calculate KC ma = ta.sma(source, lengthKC) range_1 = useTrueRange ? ta.tr : HIGH - LOW rangema = ta.sma(range_1, lengthKC) upperKC = ma + rangema * multKC lowerKC = ma - rangema * multKC sqzOn = lowerBB > lowerKC and upperBB < upperKC sqzOff = lowerBB < lowerKC and upperBB > upperKC noSqz = sqzOn == false and sqzOff == false val = ta.linreg(source - math.avg(math.avg(ta.highest(HIGH, lengthKC), ta.lowest(LOW, lengthKC)), ta.sma(CLOSE, lengthKC)), lengthKC, 0) iff_1 = val > nz(val[1]) ? color.lime : color.green iff_2 = val < nz(val[1]) ? color.red : color.maroon bcolor = val > 0 ? iff_1 : iff_2 scolor = noSqz ? color.blue : sqzOn ? color.black : color.gray //plot(val, color=bcolor, style=plot.style_histogram, linewidth=4) //plot(0, color=scolor, style=plot.style_cross, linewidth=2) i_numLookbackBarsSM = input(14,title="Number of bars to look back to validate Sqz Mom trend") //sqzmomEntryLong = val > 0 and f_priorBarsSatisfied(val > 0,i_numLookbackBarsSM) //sqzmomEntryShort = val < 0 and f_priorBarsSatisfied(val < 0,i_numLookbackBarsSM) sqzmomEntryConditionLong = val > 0 sqzmomEntryConditionShort = val < 0 sqzmomEntryLong = sqzmomEntryConditionLong and ta.barssince(sqzmomEntryConditionShort) > i_numLookbackBarsSM sqzmomEntryShort = sqzmomEntryConditionShort and ta.barssince(sqzmomEntryConditionLong) > i_numLookbackBarsSM // Cumulative Delta Volume by LonesomeTheBlue //░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ linestyle = input.string(defval='Candle', title='Style', options=['Candle', 'Line'], group="Cumlative Delta Volume") hacandle = input(defval=true, title='Heikin Ashi Candles?') showma1 = input.bool(defval=false, title='SMA 1', inline='ma1') ma1len = input.int(defval=50, title='', minval=1, inline='ma1') ma1col = input.color(defval=color.lime, title='', inline='ma1') showma2 = input.bool(defval=false, title='SMA 2', inline='ma2') ma2len = input.int(defval=200, title='', minval=1, inline='ma2') ma2col = input.color(defval=color.red, title='', inline='ma2') showema1 = input.bool(defval=false, title='EMA 1', inline='ema1') ema1len = input.int(defval=50, title='', minval=1, inline='ema1') ema1col = input.color(defval=color.lime, title='', inline='ema1') showema2 = input.bool(defval=false, title='EMA 2', inline='ema2') ema2len = input.int(defval=200, title='', minval=1, inline='ema2') ema2col = input.color(defval=color.red, title='', inline='ema2') colorup = input.color(defval=color.lime, title='Body', inline='bcol') colordown = input.color(defval=color.red, title='', inline='bcol') bcolup = input.color(defval=#74e05e, title='Border', inline='bocol') bcoldown = input.color(defval=#ffad7d, title='', inline='bocol') wcolup = input.color(defval=#b5b5b8, title='Wicks', inline='wcol') wcoldown = input.color(defval=#b5b5b8, title='', inline='wcol') tw = HIGH - math.max(OPEN, CLOSE) bw = math.min(OPEN, CLOSE) - LOW body = math.abs(CLOSE - OPEN) _rate(cond) => ret = 0.5 * (tw + bw + (cond ? 2 * body : 0)) / (tw + bw + body) ret := nz(ret) == 0 ? 0.5 : ret ret deltaup = volume * _rate(OPEN <= CLOSE) deltadown = volume * _rate(OPEN > CLOSE) delta = CLOSE >= OPEN ? deltaup : -deltadown cumdelta = ta.cum(delta) float ctl = na float o = na float h = na float l = na float c = na if linestyle == 'Candle' o := cumdelta[1] h := math.max(cumdelta, cumdelta[1]) l := math.min(cumdelta, cumdelta[1]) c := cumdelta ctl else ctl := cumdelta ctl plot(ctl, title='CDV Line', color=color.new(color.blue, 0), linewidth=2) float haclose = na float haopen = na float hahigh = na float halow = na haclose := (o + h + l + c) / 4 haopen := na(haopen[1]) ? (o + c) / 2 : (haopen[1] + haclose[1]) / 2 hahigh := math.max(h, math.max(haopen, haclose)) halow := math.min(l, math.min(haopen, haclose)) c_ = hacandle ? haclose : c o_ = hacandle ? haopen : o h_ = hacandle ? hahigh : h l_ = hacandle ? halow : l //plotcandle(o_, h_, l_, c_, title='CDV Candles', color=o_ <= c_ ? colorup : colordown, bordercolor=o_ <= c_ ? bcolup : bcoldown, wickcolor=o_ <= c_ ? bcolup : bcoldown) //plot(showma1 and linestyle == 'Candle' ? ta.sma(c_, ma1len) : na, title='SMA 1', color=ma1col) //plot(showma2 and linestyle == 'Candle' ? ta.sma(c_, ma2len) : na, title='SMA 2', color=ma2col) //plot(showema1 and linestyle == 'Candle' ? ta.ema(c_, ema1len) : na, title='EMA 1', color=ema1col) //plot(showema2 and linestyle == 'Candle' ? ta.ema(c_, ema2len) : na, title='EMA 2', color=ema2col) i_numLookbackBarsCDV = input(14,title="Number of bars to look back to validate CDV trend") //cdvEntryLong = o_ < c_ and f_priorBarsSatisfied(o_ < c_,i_numLookbackBarsCDV) //cdvEntryShort = o_ > c_ and f_priorBarsSatisfied(o_ > c_,i_numLookbackBarsCDV) cdvEntryConditionLong = o_ <= c_ cdvEntryConditionShort = o_ > c_ cdvEntryLong = cdvEntryConditionLong and ta.barssince(cdvEntryConditionShort) > i_numLookbackBarsCDV cdvEntryShort = cdvEntryConditionShort and ta.barssince(cdvEntryConditionLong) > i_numLookbackBarsCDV ////////////////////////////////////// //* Put your strategy rules below *// ///////////////////////////////////// longCondition = trendMagicEntryLong and sqzmomEntryLong and cdvEntryLong shortCondition = trendMagicEntryShort and sqzmomEntryShort and cdvEntryShort //define as 0 if do not want to use closeLongCondition = 0 closeShortCondition = 0 // ADX //░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ adxEnabled = input.bool(defval = false , title = "Average Directional Index (ADX)", tooltip = "", group ="ADX" ) adxlen = input(14, title="ADX Smoothing", group="ADX") adxdilen = input(14, title="DI Length", group="ADX") adxabove = input(25, title="ADX Threshold", group="ADX") adxdirmov(len) => adxup = ta.change(HIGH) adxdown = -ta.change(LOW) adxplusDM = na(adxup) ? na : (adxup > adxdown and adxup > 0 ? adxup : 0) adxminusDM = na(adxdown) ? na : (adxdown > adxup and adxdown > 0 ? adxdown : 0) adxtruerange = ta.rma(ta.tr, len) adxplus = fixnan(100 * ta.rma(adxplusDM, len) / adxtruerange) adxminus = fixnan(100 * ta.rma(adxminusDM, len) / adxtruerange) [adxplus, adxminus] adx(adxdilen, adxlen) => [adxplus, adxminus] = adxdirmov(adxdilen) adxsum = adxplus + adxminus adx = 100 * ta.rma(math.abs(adxplus - adxminus) / (adxsum == 0 ? 1 : adxsum), adxlen) adxsig = adxEnabled ? adx(adxdilen, adxlen) : na isADXEnabledAndAboveThreshold = adxEnabled ? (adxsig > adxabove) : true //Backtesting Time Period (Input.time not working as expected as of 03/30/2021. Giving odd start/end dates //░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ useStartPeriodTime = input.bool(true, 'Start', group='Date Range', inline='Start Period') startPeriodTime = input(timestamp('1 Jan 2019'), '', group='Date Range', inline='Start Period') useEndPeriodTime = input.bool(true, 'End', group='Date Range', inline='End Period') endPeriodTime = input(timestamp('31 Dec 2030'), '', group='Date Range', inline='End Period') start = useStartPeriodTime ? startPeriodTime >= time : false end = useEndPeriodTime ? endPeriodTime <= time : false calcPeriod = true // Trade Direction // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ tradeDirection = input.string('Long and Short', title='Trade Direction', options=['Long and Short', 'Long Only', 'Short Only'], group='Trade Direction') // Percent as Points // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ per(pcnt) => strategy.position_size != 0 ? math.round(pcnt / 100 * strategy.position_avg_price / syminfo.mintick) : float(na) // Take profit 1 // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ tp1 = input.float(title='Take Profit 1 - Target %', defval=2, minval=0.0, step=0.5, group='Take Profit', inline='Take Profit 1') q1 = input.int(title='% Of Position', defval=100, minval=0, group='Take Profit', inline='Take Profit 1') // Take profit 2 // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ tp2 = input.float(title='Take Profit 2 - Target %', defval=100, minval=0.0, step=0.5, group='Take Profit', inline='Take Profit 2') q2 = input.int(title='% Of Position', defval=100, minval=0, group='Take Profit', inline='Take Profit 2') // Take profit 3 // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ tp3 = input.float(title='Take Profit 3 - Target %', defval=100, minval=0.0, step=0.5, group='Take Profit', inline='Take Profit 3') q3 = input.int(title='% Of Position', defval=100, minval=0, group='Take Profit', inline='Take Profit 3') // Take profit 4 // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ tp4 = input.float(title='Take Profit 4 - Target %', defval=100, minval=0.0, step=0.5, group='Take Profit') /// Stop Loss // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ stoplossPercent = input.float(title='Stop Loss (%)', defval=6, minval=0.01, group='Stop Loss') * 0.01 slLongClose = CLOSE < strategy.position_avg_price * (1 - stoplossPercent) slShortClose = CLOSE > strategy.position_avg_price * (1 + stoplossPercent) /// Leverage // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ leverage = input.float(1, 'Leverage', step=.5, group='Leverage') contracts = math.min(math.max(.000001, strategy.equity / CLOSE * leverage), 1000000000) /// Trade State Management // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ isInLongPosition = strategy.position_size > 0 isInShortPosition = strategy.position_size < 0 /// ProfitView Alert Syntax String Generation // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ alertSyntaxPrefix = input.string(defval='CRYPTANEX_99FTX_Strategy-Name-Here', title='Alert Syntax Prefix', group='ProfitView Alert Syntax') alertSyntaxBase = alertSyntaxPrefix + '\n#' + str.tostring(OPEN) + ',' + str.tostring(HIGH) + ',' + str.tostring(LOW) + ',' + str.tostring(CLOSE) + ',' + str.tostring(volume) + ',' /// Trade Execution // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ longConditionCalc = (longCondition and isADXEnabledAndAboveThreshold) shortConditionCalc = (shortCondition and isADXEnabledAndAboveThreshold) if calcPeriod if longConditionCalc and tradeDirection != 'Short Only' and isInLongPosition == false strategy.entry('Long', strategy.long, qty=contracts) alert(message=alertSyntaxBase + 'side:long', freq=alert.freq_once_per_bar_close) if shortConditionCalc and tradeDirection != 'Long Only' and isInShortPosition == false strategy.entry('Short', strategy.short, qty=contracts) alert(message=alertSyntaxBase + 'side:short', freq=alert.freq_once_per_bar_close) //Inspired from Multiple %% profit exits example by adolgo https://www.tradingview.com/script/kHhCik9f-Multiple-profit-exits-example/ strategy.exit('TP1', qty_percent=q1, profit=per(tp1)) strategy.exit('TP2', qty_percent=q2, profit=per(tp2)) strategy.exit('TP3', qty_percent=q3, profit=per(tp3)) strategy.exit('TP4', profit=per(tp4)) strategy.close('Long', qty_percent=100, comment='SL Long', when=slLongClose) strategy.close('Short', qty_percent=100, comment='SL Short', when=slShortClose) strategy.close_all(when=closeLongCondition or closeShortCondition, comment='Close Postion') /// Dashboard // ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ // Inspired by https://www.tradingview.com/script/uWqKX6A2/ - Thanks VertMT showDashboard = input.bool(group="Dashboard", title="Show Dashboard", defval=false) f_fillCell(_table, _column, _row, _title, _value, _bgcolor, _txtcolor) => _cellText = _title + "\n" + _value table.cell(_table, _column, _row, _cellText, bgcolor=_bgcolor, text_color=_txtcolor, text_size=size.auto) // Draw dashboard table if showDashboard var bgcolor = color.new(color.black,0) // Keep track of Wins/Losses streaks newWin = (strategy.wintrades > strategy.wintrades[1]) and (strategy.losstrades == strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1]) newLoss = (strategy.wintrades == strategy.wintrades[1]) and (strategy.losstrades > strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1]) varip int winRow = 0 varip int lossRow = 0 varip int maxWinRow = 0 varip int maxLossRow = 0 if newWin lossRow := 0 winRow := winRow + 1 if winRow > maxWinRow maxWinRow := winRow if newLoss winRow := 0 lossRow := lossRow + 1 if lossRow > maxLossRow maxLossRow := lossRow // Prepare stats table var table dashTable = table.new(position.bottom_right, 1, 15, border_width=1) if barstate.islastconfirmedhistory // Update table dollarReturn = strategy.netprofit f_fillCell(dashTable, 0, 0, "Start:", str.format("{0,date,long}", strategy.closedtrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.closedtrades.entry_time(0)) f_fillCell(dashTable, 0, 1, "End:", str.format("{0,date,long}", strategy.opentrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.opentrades.entry_time(0)) _profit = (strategy.netprofit / strategy.initial_capital) * 100 f_fillCell(dashTable, 0, 2, "Net Profit:", str.tostring(_profit, '##.##') + "%", _profit > 0 ? color.green : color.red, color.white) _numOfDaysInStrategy = (strategy.opentrades.entry_time(0) - strategy.closedtrades.entry_time(0)) / (1000 * 3600 * 24) f_fillCell(dashTable, 0, 3, "Percent Per Day", str.tostring(_profit / _numOfDaysInStrategy, '#########################.#####')+"%", _profit > 0 ? color.green : color.red, color.white) _winRate = ( strategy.wintrades / strategy.closedtrades ) * 100 f_fillCell(dashTable, 0, 4, "Percent Profitable:", str.tostring(_winRate, '##.##') + "%", _winRate < 50 ? color.red : _winRate < 75 ? #999900 : color.green, color.white) f_fillCell(dashTable, 0, 5, "Profit Factor:", str.tostring(strategy.grossprofit / strategy.grossloss, '##.###'), strategy.grossprofit > strategy.grossloss ? color.green : color.red, color.white) f_fillCell(dashTable, 0, 6, "Total Trades:", str.tostring(strategy.closedtrades), bgcolor, color.white) f_fillCell(dashTable, 0, 8, "Max Wins In A Row:", str.tostring(maxWinRow, '######') , bgcolor, color.white) f_fillCell(dashTable, 0, 9, "Max Losses In A Row:", str.tostring(maxLossRow, '######') , bgcolor, color.white)