Strategi ini melaksanakan strategi trend yang kukuh berdasarkan Bollinger Bands, purata bergerak, dan analisis jumlah.
Bollinger Bands
Menggunakan Bollinger Bands untuk mengenal pasti keadaan overbought dan oversold di pasaran.
Mengira rentang berdasarkan nilai tengah dan penyimpangan standard dalam tempoh tertentu. Harga melintasi rentang atas atau bawah menunjukkan isyarat overbought atau oversold.
Penapis purata bergerak
Mengimplementasikan penapis purata bergerak (MA) untuk meningkatkan pengenalan trend.
Menghasilkan isyarat membeli (menjual) apabila harga melintasi di atas (di bawah) purata bergerak.
Analisis Jumlah
Membolehkan pengguna mengintegrasikan analisis jumlah ke dalam strategi untuk pengesahan isyarat yang dipertingkatkan. Bar jumlah yang dikodkan warna menunjukkan sama ada jumlahnya di atas atau di bawah purata.
Purata penyambungan jumlah boleh digunakan untuk mengesahkan isyarat harga.
Trend Kuat Berikutan
Mengenali pembalikan trend pasaran berdasarkan Bollinger Bands, purata bergerak dan jumlah.
Mencatatkan trend harga dengan tepat pada masanya untuk perdagangan trend.
Fleksibiliti & Penyesuaian
Pengguna boleh mengoptimumkan parameter seperti tempoh BB, jenis MA dan panjang.
Posisi panjang dan pendek boleh dikawal secara berasingan.
Visualisasi & Pengesahan
Mekanisme isyarat berganda yang mengesahkan isyarat harga menggunakan MA dan jumlah.
Penampilan intuitif isyarat perdagangan utama seperti purata bergerak, tahap stop-loss.
Pengurusan Risiko
Mengira stop-loss berdasarkan ATR. Tempoh ATR yang boleh disesuaikan dan pengganda.
Mengatur saiz kedudukan berdasarkan peratusan ekuiti yang berisiko untuk mengawal kerugian perdagangan tunggal.
Risiko Tempoh Ujian Kembali
Risiko Pembalikan Trend
Pengoptimuman berlebihan
Risiko penunjuk yang ketinggalan
Pengoptimuman Parameter
Pengoptimuman Kedudukan
Pengoptimuman Isyarat
Pengoptimuman Kod
Strategi ini mengintegrasikan Bollinger Bands, purata bergerak dan analisis jumlah ke dalam sistem perdagangan trend mekanikal. Kekuatannya terletak pada mekanisme pengesahan isyarat dan kawalan risiko yang kukuh. Penambahbaikan lanjut boleh dibuat melalui parameter dan pengoptimuman isyarat untuk meningkatkan kestabilan dan keuntungan. Metodologi strategi berfungsi sebagai rujukan untuk pengikut trend.
/*backtest start: 2023-11-25 00:00:00 end: 2023-12-25 00:00:00 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/ // © sosacur01 //@version=5 strategy(title="Bollinger Band | Trend Following", overlay=true, pyramiding=1, commission_type=strategy.commission.percent, commission_value=0.2, initial_capital=10000) //-------------------------------------- //BACKTEST RANGE useDateFilter = input.bool(true, title="Filter Date Range of Backtest", group="Backtest Time Period") backtestStartDate = input(timestamp("1 jan 2017"), title="Start Date", group="Backtest Time Period", tooltip="This start date is in the time zone of the exchange " + "where the chart's instrument trades. It doesn't use the time " + "zone of the chart or of your computer.") backtestEndDate = input(timestamp("1 jul 2100"), title="End Date", group="Backtest Time Period", tooltip="This end date is in the time zone of the exchange " + "where the chart's instrument trades. It doesn't use the time " + "zone of the chart or of your computer.") inTradeWindow = true if not inTradeWindow and inTradeWindow[1] strategy.cancel_all() strategy.close_all(comment="Date Range Exit") //-------------------------------------- //LONG/SHORT POSITION ON/OFF INPUT LongPositions = input.bool(title='On/Off Long Postion', defval=true, group="Long & Short Position") ShortPositions = input.bool(title='On/Off Short Postion', defval=true, group="Long & Short Position") //-------------------------------------- //MA INPUTS averageType1 = input.string(defval="WMA", group="MA", title="MA Type", options=["SMA", "EMA", "WMA", "HMA", "RMA", "SWMA", "ALMA", "VWMA", "VWAP"]) averageLength1 = input.int(defval=99, title="MA Lenght", group="MA") averageSource1 = input(close, title="MA Source", group="MA") //MA TYPE MovAvgType1(averageType1, averageSource1, averageLength1) => switch str.upper(averageType1) "SMA" => ta.sma(averageSource1, averageLength1) "EMA" => ta.ema(averageSource1, averageLength1) "WMA" => ta.wma(averageSource1, averageLength1) "HMA" => ta.hma(averageSource1, averageLength1) "RMA" => ta.rma(averageSource1, averageLength1) "SWMA" => ta.swma(averageSource1) "ALMA" => ta.alma(averageSource1, averageLength1, 0.85, 6) "VWMA" => ta.vwma(averageSource1, averageLength1) "VWAP" => ta.vwap(averageSource1) => runtime.error("Moving average type '" + averageType1 + "' not found!"), na //MA VALUES ma = MovAvgType1(averageType1, averageSource1, averageLength1) //MA CONDITIONS bullish_ma = close > ma bearish_ma = close < ma //PLOT COLOR ma_plot = if close > ma color.navy else color.rgb(49, 27, 146, 40) //MA PLOT plot(ma,color=ma_plot, linewidth=2, title="MA") //-------------------------------------- //BB INPUTS length = input.int(20, minval=1, group="BB") src = input(close, title="Source", group="BB") mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev", group="BB") //BB VALUES basis = ta.sma(src, length) dev = mult * ta.stdev(src, length) upper = basis + dev lower = basis - dev offset = input.int(0, "Offset", minval = -500, maxval = 500) //BBPLOT //plot(basis, "Basis", color=#FF6D00, offset = offset) p1 = plot(upper, "Upper", color=#2978ffa4, offset = offset) p2 = plot(lower, "Lower", color=#2978ffa4, offset = offset) fill(p1, p2, title = "Background", color=color.rgb(33, 47, 243, 97)) //BB ENTRY AND EXIT CONDITIONS bb_long_entry = close >= upper bb_long_exit = close <= lower bb_short_entry = close <= lower bb_short_exit = close >= upper //--------------------------------------------------------------- //VOLUME INPUTS useVolumefilter = input.bool(title='Use Volume Filter?', defval=false, group="Volume Inputs") dailyLength = input.int(title = "MA length", defval = 30, minval = 1, maxval = 100, group = "Volume Inputs") lineWidth = input.int(title = "Width of volume bars", defval = 3, minval = 1, maxval = 6, group = "Volume Inputs") Volumefilter_display = input.bool(title="Color bars?", defval=false, group="Volume Inputs", tooltip = "Change bar colors when Volume is above average") //VOLUME VALUES volumeAvgDaily = ta.sma(volume, dailyLength) //VOLUME SIGNAL v_trigger = (useVolumefilter ? volume > volumeAvgDaily : inTradeWindow) //PLOT VOLUME SIGNAL barcolor(Volumefilter_display ? v_trigger ? color.new(#6fe477, 77):na: na, title="Volume Filter") //--------------------------------------------------------------- //ENTRIES AND EXITS long_entry = if inTradeWindow and bullish_ma and bb_long_entry and v_trigger and LongPositions true long_exit = if inTradeWindow and bb_long_exit true short_entry = if inTradeWindow and bearish_ma and bb_short_entry and v_trigger and ShortPositions true short_exit = if inTradeWindow and bb_short_exit true //-------------------------------------- //RISK MANAGEMENT - SL, MONEY AT RISK, POSITION SIZING atrPeriod = input.int(14, "ATR Length", group="Risk Management Inputs") sl_atr_multiplier = input.float(title="Long Position - Stop Loss - ATR Multiplier", defval=2, group="Risk Management Inputs", step=0.5) sl_atr_multiplier_short = input.float(title="Short Position - Stop Loss - ATR Multiplier", defval=2, group="Risk Management Inputs", step=0.5) i_pctStop = input.float(2, title="% of Equity at Risk", step=.5, group="Risk Management Inputs")/100 //ATR VALUE _atr = ta.atr(atrPeriod) //CALCULATE LAST ENTRY PRICE lastEntryPrice = strategy.opentrades.entry_price(strategy.opentrades - 1) //STOP LOSS - LONG POSITIONS var float sl = na //CALCULTE SL WITH ATR AT ENTRY PRICE - LONG POSITION if (strategy.position_size[1] != strategy.position_size) sl := lastEntryPrice - (_atr * sl_atr_multiplier) //IN TRADE - LONG POSITIONS inTrade = strategy.position_size > 0 //PLOT SL - LONG POSITIONS plot(inTrade ? sl : na, color=color.blue, style=plot.style_circles, title="Long Position - Stop Loss") //CALCULATE ORDER SIZE - LONG POSITIONS positionSize = (strategy.equity * i_pctStop) / (_atr * sl_atr_multiplier) //============================================================================================ //STOP LOSS - SHORT POSITIONS var float sl_short = na //CALCULTE SL WITH ATR AT ENTRY PRICE - SHORT POSITIONS if (strategy.position_size[1] != strategy.position_size) sl_short := lastEntryPrice + (_atr * sl_atr_multiplier_short) //IN TRADE SHORT POSITIONS inTrade_short = strategy.position_size < 0 //PLOT SL - SHORT POSITIONS plot(inTrade_short ? sl_short : na, color=color.red, style=plot.style_circles, title="Short Position - Stop Loss") //CALCULATE ORDER - SHORT POSITIONS positionSize_short = (strategy.equity * i_pctStop) / (_atr * sl_atr_multiplier_short) //=============================================== //LONG STRATEGY strategy.entry("Long", strategy.long, comment="Long", when = long_entry, qty=positionSize) if (strategy.position_size > 0) strategy.close("Long", when = (long_exit), comment="Close Long") strategy.exit("Long", stop = sl, comment="Exit Long") //SHORT STRATEGY strategy.entry("Short", strategy.short, comment="Short", when = short_entry, qty=positionSize_short) if (strategy.position_size < 0) strategy.close("Short", when = (short_exit), comment="Close Short") strategy.exit("Short", stop = sl_short, comment="Exit Short") //ONE DIRECTION TRADING COMMAND (BELLOW ONLY ACTIVATE TO CORRECT BUGS) //strategy.risk.allow_entry_in(strategy.direction.long)