Strategi Double Trend dan Oscillation adalah strategi perdagangan kuantitatif yang menggabungkan trend dan osilasi. Ia menggunakan gabungan dua penunjuk untuk mengenal pasti arah dan kekuatan trend, dan mencari peluang kemasukan yang lebih baik semasa osilasi trend.
Strategi ini terutamanya menggunakan dua penunjuk terbuka: Trend Surfers dan Mawreez
Trend Surfers adalah penunjuk rintangan stop loss. Dengan mengira harga tertinggi dan terendah dalam tempoh tertentu, ia menilai pergerakan harga dan memberikan kedudukan stop loss yang dicadangkan. Sebagai contoh, apabila harga memecahkan harga tertinggi dari 168 K-garis yang paling baru, ia adalah isyarat kenaikan; apabila harga memecahkan harga terendah dari 168 K-garis yang paling baru, ia adalah isyarat penurunan.
Mawreez's Trend Oscillator adalah penunjuk goyangan dua garis. Sama seperti MACD, ia menilai arah dan kekuatan trend melalui perbezaan DI. Nilai di atas paksi 0 kurva penunjuk ini menunjukkan kenaikan, sementara yang di bawah menunjukkan penurunan.
Peraturan perdagangan strategi ini ialah:
Masuk panjang: Beli apabila Trend Surfers memecahkan garis tertinggi dan Mawreez
Entry pendek: Jual apabila Trend Surfers memecahkan garis terendah dan Mawreez
Kaedah stop loss adalah gabungan trend tracking stop loss dan stop loss tetap.
Strategi ini menggabungkan trend dan penunjuk goyangan, yang boleh menangkap trend dan mencari harga kemasukan yang lebih baik semasa goyangan.
Terdapat juga beberapa risiko dengan strategi ini:
Untuk mengurangkan risiko ini, langkah-langkah berikut boleh diambil:
Terdapat ruang untuk mengoptimumkan lagi strategi ini:
Strategi Double Trend dan Oscillation mengintegrasikan kelebihan pengesanan trend dan penunjuk osilasi. Ia boleh mengenal pasti arah trend dan merebut peluang osilasi. Dengan pengoptimuman parameter dan peraturan, keuntungan strategi ini dapat ditingkatkan lagi. Strategi ini mempunyai prospek pembangunan yang baik.
/*backtest start: 2023-12-27 00:00:00 end: 2024-01-03 00:00:00 period: 1m basePeriod: 1m 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 #8 - TrendSurfers+TrendOsc - [MYN]', max_bars_back=5000, overlay=true, pyramiding=0, initial_capital=20000, currency='USD', default_qty_type=strategy.percent_of_equity, default_qty_value=100.0, commission_value=0.075, use_bar_magnifier = false) ///////////////////////////////////// //* Put your strategy logic below *// ///////////////////////////////////// //cAe9It4ynO4 // Strategies // Trend Surfers - Premium Indicator // Mawreez' Trend Oscillator Indicator // Trading Setup / Rules // Long Condition // Trend Surfers Trailing stop line goes below (Crosses) lowest low // Bullish Candle (red) // Mawreeze Trend Oscilator Indicator is green // Short Condition // Trend Surfers Trailing stop line goes above (Crosses) highest high // Bearish Candle (red) // Mawreeze Trend Oscilator Indicator is red // Stop loss middle between high and low Risk 1:2 //@version=5 //strategy(shorttitle='Trend Surfers - Breakout', title='Trend Surfers - Premium Breakout', overlay=true, calc_on_every_tick=false, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type='percent', commission_value=0.04) // Risk for position and pyramid maxriskval = input.float(2, 'Max % risk', tooltip='Risk % over total equity / Position', group='Risk Management') pairnumber = input.int(title='How many pairs', defval=1, tooltip='How many pairs are you trading with the strategy?', group='Risk Management') // Emtry Exit highPeriod = input.int(title='Highest High Period', defval=168, tooltip='Highest High of X bars - This will trigger a Long Entry when close is above. (Thin Green Line)', group='Entry Condition') lowPeriod = input.int(title='Lowest Low Period', defval=168, tooltip='Lowest low of X bars - This will trigger a Short Entry when close is under. (Thin Red Line)', group='Entry Condition') // Stoploss trailingAtrPeriod = input.int(title='Trailing ATR Pediod', defval=10, tooltip='Average True Range for the Trailing Stop. (Thick Green Line) ', group='Exit Condition') trailingAtrMultiplier = input.float(title='Trailing ATR Multiplier', defval=8, group='Exit Condition') fixAtrPeriod = input.int(title='Fix ATR Pediod', defval=10, tooltip='Average True Range for the Fix Stoloss. (Thick Yellow Line)', group='Exit Condition') fixAtrMultiplier = input.float(title='Fix ATR Multiplier', defval=2, group='Exit Condition') // Pair info pair = syminfo.basecurrency + syminfo.currency // High Low Variable highestHigh = ta.highest(high, highPeriod)[1] lowestLow = ta.lowest(low, lowPeriod)[1] trailingAtr = ta.atr(trailingAtrPeriod) * trailingAtrMultiplier // Trade Condition longConditionTrendSurfers = ta.crossover(close, highestHigh) shortConditionTrendSurfers = ta.crossunder(close, lowestLow) // Risk Variable fixAtr = ta.atr(fixAtrPeriod) * fixAtrMultiplier stopvaluelong = close[1] - fixAtr[1] stopvalueshort = close[1] + fixAtr[1] // Position size Long maxpossize = strategy.equity / close positionsizelong = maxriskval / 100 * strategy.equity / (close - stopvaluelong) stopperclong = (close - stopvaluelong) / close * 100 leveragelong = math.max(1, math.ceil(positionsizelong / maxpossize)) * 2 posperclong = positionsizelong * close / strategy.equity * 100 / leveragelong / pairnumber realposlong = posperclong / 100 * strategy.equity * leveragelong / close // Position size Short positionsizeshort = maxriskval / 100 * strategy.equity / (stopvalueshort - close) stoppercshort = (close - stopvalueshort) / close * 100 leverageshort = math.max(1, math.ceil(positionsizeshort / maxpossize)) * 2 pospercshort = positionsizeshort * close / strategy.equity * 100 / leverageshort / pairnumber realposshort = pospercshort / 100 * strategy.equity * leverageshort / close // Alert Message entry_long_message = '\nGo Long for ' + pair + 'NOW!' + '\nPosition Size % =' + str.tostring(posperclong) + '\nLeverage' + str.tostring(leveragelong) + '\nStoploss Price =' + str.tostring(stopvaluelong) + '\nClose any Short position that are open for ' + pair + '!' + '\n\nVisit TrendSurfersSignals.com' + '\nFor automated premium signals (FREE)' entry_short_message = '\nGo Short for ' + pair + 'NOW!' + '\nPosition Size % =' + str.tostring(pospercshort) + '\nLeverage' + str.tostring(leverageshort) + '\nStoploss Price =' + str.tostring(stopvalueshort) + '\nClose any Long position that are open for ' + pair + '!' + '\n\nVisit TrendSurfersSignals.com' + '\nFor automated premium signals (FREE)' exit_short_message = '\nExit Short for ' + pair + 'NOW!' + '\n\nVisit TrendSurfersSignals.com' + '\nFor automated premium signals (FREE)' exit_long_message = '\nExit Long for ' + pair + 'NOW!' + '\n\nVisit TrendSurfersSignals.com' + '\nFor automated premium signals (FREE)' // Order // if longCondition // strategy.entry('Long', strategy.long, stop=highestHigh, comment='Long', qty=realposlong, alert_message=entry_long_message) // if shortCondition // strategy.entry('Short', strategy.short, stop=lowestLow, comment='Short', qty=realposshort, alert_message=entry_short_message) // Stoploss Trailing longTrailing = close - trailingAtr shortTrailing = close + trailingAtr var longTrailingStop = 0.0 var shortTrailingStop = 999999.9 trailingStopLine = 0.0 trailingStopLine := na fixedStopLine = 0.0 fixedStopLine := na var inTrade = 0 if longConditionTrendSurfers or shortConditionTrendSurfers if 0 == inTrade if longConditionTrendSurfers inTrade := 1 inTrade else inTrade := -1 inTrade if 1 == inTrade and (shortConditionTrendSurfers or low <= math.max(fixedStopLine[1], longTrailingStop)) inTrade := 0 inTrade if -1 == inTrade and (longConditionTrendSurfers or high >= math.min(fixedStopLine[1], shortTrailingStop)) inTrade := 0 inTrade longTrailingStop := if 1 == inTrade stopValue = longTrailing math.max(stopValue, longTrailingStop[1]) else 0 shortTrailingStop := if -1 == inTrade stopValue = shortTrailing math.min(stopValue, shortTrailingStop[1]) else 999999 // Fix Stoploss firstPrice = 0.0 firstFixAtr = 0.0 firstPrice := na firstFixAtr := na if 0 != inTrade firstPrice := ta.valuewhen(inTrade != inTrade[1] and 0 != inTrade, close, 0) firstFixAtr := ta.valuewhen(inTrade != inTrade[1] and 0 != inTrade, fixAtr, 0) if 1 == inTrade fixedStopLine := firstPrice - firstFixAtr trailingStopLine := longTrailingStop trailingStopLine else fixedStopLine := firstPrice + firstFixAtr trailingStopLine := shortTrailingStop trailingStopLine // if strategy.position_size > 0 // strategy.exit(id='L Stop', stop=math.max(fixedStopLine, longTrailingStop), alert_message=exit_long_message) // if strategy.position_size < 0 // strategy.exit(id='S Stop', stop=math.min(fixedStopLine, shortTrailingStop), alert_message=exit_short_message) // Plot plot(highestHigh, color=color.new(color.green, 0), linewidth=1, title='Highest High') plot(lowestLow, color=color.new(color.red, 0), linewidth=1, title='Lowest Low') plot(trailingStopLine, color=color.new(color.lime, 0), linewidth=2, offset=1, title='Trailing Stop') plot(fixedStopLine, color=color.new(color.orange, 0), linewidth=2, offset=1, title='Fixed Stop') // Trend Surfers Trailing stop line goes above (Crossesover) highest high // Bearish Candle (red) // Mawreeze Trend Oscilator Indicator is red trendSurfersShortEntry = trailingStopLine > highestHigh and close < close[1] trendSurfersLongEntry = trailingStopLine < lowestLow and close > close[1] //@version=5 // Taken from the TradingView house rules regarding scripts: // "All open source scripts that do not mention a specific open source license // in their comments are licensed under the Mozilla Public License 2.0. // Following the Mozilla License, any script reusing open source code originally // published by someone else must also be open source, unless specific // permission is granted by the original author." //indicator('Mawreez\' Trend Oscillator', precision=3) len = input.int(title='DI Length', minval=1, defval=14) sens = input.float(title='Sensitivity', defval=25) // Lag-free smoothing of a given series smooth(series, len) => f28 = ta.ema(series, len) f30 = ta.ema(f28, len) vC = f28 * 1.5 - f30 * 0.5 f38 = ta.ema(vC, len) f40 = ta.ema(f38, len) v10 = f38 * 1.5 - f40 * 0.5 f48 = ta.ema(v10, len) f50 = ta.ema(f48, len) f48 * 1.5 - f50 * 0.5 // Constructing the +DI and -DI up = ta.change(high) down = -ta.change(low) plus_dm = up > 0 and up > down ? up : 0 minus_dm = down > 0 and down > up ? down : 0 range_1 = ta.rma(ta.tr, len) plus_di = smooth(ta.rma(plus_dm, len) / range_1, 3) minus_di = smooth(ta.rma(minus_dm, len) / range_1, 3) // Constructing and plotting the modified ADX adj_adx = 100 * math.abs(plus_di - minus_di) / (plus_di + minus_di) - sens adj_adx := (minus_di > plus_di ? -1 : 1) * (adj_adx < 0 ? 0 : adj_adx) //plot(smooth(adj_adx, 3), color=plus_di > minus_di ? color.green : color.red, style=plot.style_columns) trendOscShortEntry = plus_di < minus_di trendOscLongEntry = plus_di > minus_di ////////////////////////////////////// //* Put your strategy rules below *// ///////////////////////////////////// longCondition = trendSurfersLongEntry and trendOscLongEntry shortCondition = trendSurfersShortEntry and trendOscShortEntry //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=100, 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=999, 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)