Strategi ini didasarkan pada crossover dari double exponential moving average (DEMA) sebagai sinyal perdagangan dan mengadopsi pendekatan trend following dengan pengaturan stop loss dan take profit otomatis. Keuntungan dari strategi ini adalah sinyal perdagangan yang jelas, konfigurasi stop loss / take profit yang fleksibel dan kontrol risiko yang efektif.
Menghitung jalur DEMA cepat (8 hari), jalur DEMA lambat (24 hari) dan jalur DEMA tambahan (dikonfigurasi).
Ketika garis cepat melintasi garis lambat dan sinyal silang emas dihasilkan, pergi panjang. Ketika garis cepat melintasi garis lambat dan sinyal silang mati dihasilkan, pergi pendek.
Tambahkan filter sinyal yang sinyal hanya dipicu ketika nilai saat ini dari jalur bantu lebih tinggi dari hari sebelumnya, menghindari pecah palsu.
Mengadopsi tren mengikuti mekanisme stop loss di mana garis stop loss terus menyesuaikan berdasarkan pergerakan harga, mengunci keuntungan parsial.
Pada saat yang sama, tetapkan persentase stop loss dan ambil keuntungan untuk membatasi kerugian dan keuntungan maksimum per perdagangan.
Sinyal perdagangan yang jelas, mudah untuk menentukan waktu masuk dan keluar.
Algoritma DEMA ganda lebih halus, menghindari overfitting, sinyal yang lebih andal.
Filter saluran bantu meningkatkan akurasi sinyal, mengurangi sinyal palsu.
Tren setelah kunci stop loss dalam keuntungan parsial, mengontrol risiko secara efektif.
Stop loss/take profit persentase tetap membatasi kerugian maksimum per perdagangan, menghindari melebihi toleransi risiko.
Perdagangan yang sering dapat terjadi di pasar yang bervariasi, meningkatkan eksposur dan menyebabkan kerugian.
Persentase stop loss tetap yang terlalu besar dapat memicu stop loss besar yang tidak diinginkan dalam perubahan harga yang ekstrim.
DEMA sinyal crossover lag dan entri panjang di puncak dapat meningkatkan risiko kerugian di pasar bergerak cepat.
Dalam perdagangan langsung slippage mempengaruhi profitabilitas, pengaturan parameter diperlukan.
Parameter DEMA dapat dioptimalkan untuk kondisi pasar yang berbeda.
Pertimbangkan untuk memperluas stop loss tetap dalam perdagangan langsung untuk memperhitungkan biaya slip.
Indikator lain seperti MACD dapat ditambahkan untuk meningkatkan kualitas sinyal.
Fine tune tracking stop loss step value untuk meningkatkan logika.
Strategi ini memanfaatkan kemampuan deteksi tren DEMA dan menggabungkannya dengan metodologi pengendalian risiko tren berikut. Ini adalah contoh yang sangat khas dalam sistem strategi Determine Trend Direction. Secara umum ini adalah strategi dengan sinyal yang jelas, konfigurasi stop loss / profit taking yang masuk akal dan risiko yang dapat dikendalikan. Ketika dioptimalkan untuk biaya slippage dan ditambahkan dengan indikator tambahan dalam perdagangan langsung, ini dapat mencapai pengembalian investasi yang baik.
/*backtest start: 2024-01-01 00:00:00 end: 2024-01-31 23:59:59 period: 1h 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/ // © zeguela //@version=4 strategy(title="ZEGUELA DEMABOT", commission_value=0.063, commission_type=strategy.commission.percent, initial_capital=100, default_qty_value=90, default_qty_type=strategy.percent_of_equity, overlay=true, process_orders_on_close=true) // Step 1. Script settings // Input options srcData = input(title="Source Data", type=input.source, defval=close) // Length settings len1 = input(title="Length DEMA #1", type=input.integer, defval=8, minval=1) len2 = input(title="Length DEMA #2", type=input.integer, defval=24, minval=0) len3 = input(title="Length DEMA #3", type=input.integer, defval=0, minval=0) // Step 2. Calculate indicator values // Function that calculates the DEMA DEMA(series, length) => if (length > 0) emaValue = ema(series, length) 2 * emaValue - ema(emaValue, length) else na // Calculate the DEMA values demaVal1 = DEMA(srcData, len1) demaVal2 = DEMA(srcData, len2) demaVal3 = DEMA(srcData, len3) // Step 3. Determine indicator signals // See if there's a DEMA crossover demaCrossover = if (len2 > 0) and (len3 > 0) crossover(demaVal1, demaVal2) and (demaVal3 > demaVal3[1]) else if (len2 > 0) and (len3 == 0) crossover(demaVal1, demaVal2) else if (len3 > 0) and (len2 == 0) crossover(demaVal1, demaVal3) else crossover(close, demaVal1) // Check if there's a DEMA crossunder demaCrossunder = if (len2 > 0) and (len3 > 0) crossunder(demaVal1, demaVal2) and (demaVal3 < demaVal3[1]) else if (len2 > 0) and (len3 == 0) crossunder(demaVal1, demaVal2) else if (len3 > 0) and (len2 == 0) crossunder(demaVal1, demaVal3) else crossunder(close, demaVal1) // Step 4. Output indicator data // Plot DEMAs on the chart plot(series=demaVal1, color=color.green, linewidth=2, title="DEMA #1") plot(series=demaVal2, color=color.red, linewidth=2, title="DEMA #2") plot(series=demaVal3, color=color.fuchsia, linewidth=2, title="DEMA #3") //TRAILING STOP CODE a = input(title="Usar Trailing Stop?", type=input.bool, defval=false) stopPerlong = input(9.0, title='Stop Loss Long %', type=input.float, group="Stop Loss & Take Profit Settings") / 100 stopPershort = input(6.0, title='Stop Loss Short %', type=input.float, group="Stop Loss & Take Profit Settings") / 100 take1Perlong = input(25.0, title='Take Profit Long % 1', type=input.float, group="Stop Loss & Take Profit Settings") / 100 take1Pershort = input(6.0, title='Take Profit Short % 1', type=input.float, group="Stop Loss & Take Profit Settings") / 100 // Determine stop loss price longStopPrice = strategy.position_avg_price * (1 - stopPerlong) shortStopPrice = strategy.position_avg_price * (1 + stopPershort) longTake1Price = strategy.position_avg_price * (1 + take1Perlong) shortTake1Price = strategy.position_avg_price * (1 - take1Pershort) // Determine trail stop loss prices longStopPriceTrail = 0.0 longStopPriceTrail := if (strategy.position_size > 0) stopValue = close * (1 - stopPerlong) max(stopValue, longStopPriceTrail[1]) else 0 // Determine trailing short price shortStopPriceTrail = 0.0 shortStopPriceTrail := if (strategy.position_size < 0) stopValue = close * (1 + stopPershort) min(stopValue, shortStopPriceTrail[1]) else 999999 //calcular qual stop usar longStop = a ? longStopPriceTrail : longStopPrice shortStop = a ? shortStopPriceTrail : shortStopPrice //calcula o valor do stop e TP pra lançar no alerta longStopEntrada = close * (1 - stopPerlong) shortStopEntrada = close * (1 + stopPershort) longTPEntrada = close * (1 + take1Perlong) shortTPEntrada = close * (1 - take1Pershort) //armazena o preço de entrada e valor do SL e TP price_entryL = 0.0 price_entryL := na(price_entryL) ? na : price_entryL[1] price_entryS = 0.0 price_entryS := na(price_entryS) ? na : price_entryS[1] stopL = 0.0 stopL := na(stopL) ? na : stopL[1] stopS = 0.0 stopS := na(stopS) ? na : stopS[1] takeL = 0.0 takeL := na(takeL) ? na : takeL[1] takeS = 0.0 takeS := na(takeS) ? na : takeS[1] if (demaCrossover) price_entryL := close stopL := close * (1 - stopPerlong) takeL := close * (1 + take1Perlong) if (demaCrossunder) price_entryS := close stopS := close * (1 + stopPershort) takeS := close * (1 - take1Pershort) resultadoL = ((close - price_entryL)/price_entryL) * 100 resultadoLexit = "(SL = 1% e TP = 0,5%)" resultadoS = ((price_entryS - close)/price_entryS) * 100 resultadoSexit = "(SL = 1% e TP = 0,5)%" // Make input options that configure backtest date range _startDate = input(title="Start Date", type=input.integer, defval=1, minval=1, maxval=31, group="BackTest Period") _startMonth = input(title="Start Month", type=input.integer, defval=1, minval=1, maxval=12, group="BackTest Period") _startYear = input(title="Start Year", type=input.integer, defval=2018, minval=1800, maxval=2100, group="BackTest Period") _endDate = input(title="End Date", type=input.integer, defval=31, minval=1, maxval=31, group="BackTest Period") _endMonth = input(title="End Month", type=input.integer, defval=12, minval=1, maxval=12, group="BackTest Period") _endYear = input(title="End Year", type=input.integer, defval=2031, minval=1800, maxval=2100, group="BackTest Period") // Look if the close time of the current bar // falls inside the date range _inDateRange = (time >= timestamp(syminfo.timezone, _startYear, _startMonth, _startDate, 0, 0)) and (time < timestamp(syminfo.timezone, _endYear, _endMonth, _endDate, 0, 0)) //Alert configuration _alertMessageOpenLong="OpenLong" _alertMessageCloseLong="CloseLong" _alertmessageExitLong="ExitLong - TP/SL" _alertMessageOpenShort="OpenShort" _alertMessageCloseShort="CloseShort" _alertMessageExitShort="ExitShort - TP/SL" if (_inDateRange) //ENTER SOME SETUP TRADES FOR TSL EXAMPLE if (demaCrossover) strategy.entry("LONG", strategy.long, comment = _alertMessageOpenLong) if (demaCrossunder) strategy.entry("SHORT", strategy.short, comment = _alertMessageOpenShort) //EXIT TRADE @ TSL if strategy.position_size > 0 strategy.exit("TP/SL", "LONG", stop=longStop, limit=longTake1Price, comment=_alertmessageExitLong, alert_message=_alertmessageExitLong) if strategy.position_size < 0 strategy.exit("TP/SL", "SHORT", stop=shortStop, limit=shortTake1Price, comment =_alertMessageExitShort, alert_message=_alertMessageExitShort) //Look & Feel - Plot stop loss and take profit areas p1=plot(strategy.position_avg_price, color=color.blue, style=plot.style_linebr, linewidth=1, title="Preço de entrada") p2=plot(series=strategy.position_size > 0 ? longStop : na, color=color.red, style=plot.style_linebr, linewidth=1, title="Long Stop") p3=plot(series=strategy.position_size > 0 ? longTake1Price : na, color=color.green, style=plot.style_linebr, linewidth=1, title="Long TP") p4=plot(series=strategy.position_size < 0 ? shortStop : na, color=color.red, style=plot.style_linebr, linewidth=1, title="Short Stop") p5=plot(series=strategy.position_size < 0 ? shortTake1Price : na, color=color.green, style=plot.style_linebr, linewidth=1, title="Short TP") fill(p1, p2, color=color.red) fill(p1, p3, color=color.green) fill(p1, p4, color=color.red) fill(p1, p5, color=color.green) // Insert label with value stopLossOnLong = "Stop Loss = " + tostring(longStop) stopLossOnShort = "Stop Loss = " + tostring(shortStop) takeprofitOnLong = "Take Profit = " + tostring(longTake1Price) takeprofitOnShort = "Take Profit = " + tostring(shortTake1Price) precoentrada = "Entrada = " + tostring(strategy.position_avg_price) var label FinalLabelpriceL = na var label FinalLabelpriceS = na var label slFinalLabelL = na var label slFinalLabelS = na var label slFinalLabelTPL = na var label slFinalLabelTPS = na //Draw entry and stop loss lines and labels if strategy.position_size > 0 //write the price above the end of the stoploss line slFinalLabelL := label.new(bar_index, longStop, stopLossOnLong, style=label.style_none, size=size.normal, textcolor=color.red) slFinalLabelTPL := label.new(bar_index, longTake1Price, takeprofitOnLong, style=label.style_none, size=size.normal, textcolor=color.green) FinalLabelpriceL := label.new(bar_index, strategy.position_avg_price, precoentrada, style=label.style_none, size=size.normal, textcolor=color.blue) // Delete previous label when there is a consecutive new high, as there's no line plot in that case. if strategy.position_size > 0[1] label.delete(slFinalLabelL[1]) label.delete(slFinalLabelTPL[1]) label.delete(FinalLabelpriceL[1]) if strategy.position_size < 0 //write the price above the end of the stoploss line slFinalLabelS := label.new(bar_index, shortStop, stopLossOnShort, style=label.style_none, size=size.normal, textcolor=color.red) slFinalLabelTPS := label.new(bar_index, shortTake1Price, takeprofitOnShort, style=label.style_none, size=size.normal, textcolor=color.green) FinalLabelpriceS := label.new(bar_index, strategy.position_avg_price, precoentrada, style=label.style_none, size=size.normal, textcolor=color.blue) // Delete previous label when there is a consecutive new high, as there's no line plot in that case. if strategy.position_size < 0[1] label.delete(slFinalLabelS[1]) label.delete(slFinalLabelTPS[1]) label.delete(FinalLabelpriceS[1]) // Exit open market position when date range ends if (not _inDateRange) strategy.close_all()