Strategi ini menggabungkan indikator Boom Hunter, Hull Suite, dan Volatility Oscillator untuk menerapkan strategi kuantitatif untuk pelacakan tren dan perdagangan breakout di beberapa kerangka waktu.
Logika inti dari strategi ini didasarkan pada tiga indikator berikut:
Boom Hunter: Sebuah osilator yang menggunakan teknik kompresi indikator untuk menghasilkan sinyal perdagangan dari persilangan antara dua kuozien (Quotient1 dan Quotient2).
Suite Hull: Satu set garis rata-rata bergerak yang halus yang menentukan arah tren berdasarkan hubungan antara garis tengah dan band atas/bawah.
Osilator Volatilitas: Indikator osilator yang mengukur volatilitas harga.
Logika masuk dari strategi ini adalah ketika dua indikator Quotient dari Boom Hunter menyeberang naik atau turun, harga menembus garis tengah Hull dan menyimpang dari band atas atau bawah, sementara itu Volatility Oscillator berada di area overbought/oversold. Hal ini menyaring beberapa sinyal breakout palsu dan meningkatkan akurasi masuk.
Stop loss ditetapkan dengan menemukan lembah terendah atau puncak tertinggi selama periode tertentu (default 20 bar), dan mengambil keuntungan diperoleh dengan mengalikan persentase stop loss dengan faktor keuntungan yang dikonfigurasi (default 3x).
Solusi:
Strategi ini dapat dioptimalkan dalam aspek berikut:
Optimasi Parameter: Dapatkan kombinasi parameter terbaik dengan tweaking pengaturan indikator seperti periode dan koefisien kompresi
Optimalisasi Kerangka Waktu: Uji periode yang berbeda (1 menit, 5 menit, 30 menit dll) untuk menemukan kerangka waktu perdagangan yang optimal
Optimasi Ukuran Posisi: Perubahan per ukuran dan rasio posisi perdagangan untuk menemukan rencana pemanfaatan modal yang ideal
Optimasi Stop Loss: Sesuaikan penempatan stop loss berdasarkan instrumen perdagangan yang berbeda untuk mencapai rasio risiko-imbalan optimal
Optimasi Kondisi: Tambahkan/kurangi filter indikator untuk mendapatkan sinyal masuk yang lebih akurat
Strategi ini menggabungkan Boom Hunter, Hull Suite dan Volatility Oscillator untuk menerapkan perdagangan pelacakan tren multi-frame timeframe, secara efektif mengidentifikasi perilaku harga tiba-tiba yang cocok untuk aset digital yang sangat volatile.
/*backtest start: 2024-01-27 00:00:00 end: 2024-02-26 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // Strategy based on the 3 indicators: // - Boom Hunter Pro // - Hull Suite // - Volatility Oscillator // // Strategy was designed for the purpose of back testing. // See strategy documentation for info on trade entry logic. // // Credits: // - Boom Hunter Pro: veryfid (https://www.tradingview.com/u/veryfid/) // - Hull Suite: InSilico (https://www.tradingview.com/u/InSilico/) // - Volatility Oscillator: veryfid (https://www.tradingview.com/u/veryfid/) //@version=5 strategy("Boom Hunter + Hull Suite + Volatility Oscillator Strategy", 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(20, "Swing High/Low Lookback Length", group='Strategy: Risk Management', tooltip='Stop Loss is calculated by the swing high or low over the previous X candles') accountRiskPercent = input.float(3, "Account percent loss per trade", step=0.1, group='Strategy: Risk Management', tooltip='Each trade will risk X% of the account balance') profitFactor = input.float(3, "Profit Factor (R:R Ratio)", step = 0.1, group='Strategy: Risk Management') // ---------- // Date Range // ---------- start_year = input.int(title='Start Date', defval=2022, minval=2010, maxval=3000, group='Strategy: Date Range', inline='1') start_month = input.int(title='', 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='', 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='End Date', defval=2023, minval=1800, maxval=3000, group='Strategy: Date Range', inline='2') end_month = input.int(title='', 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='', 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 = true // ============================================================================= // INDICATORS // ============================================================================= // --------------- // Boom Hunter Pro // --------------- square = input.bool(true, title='Square Line?', group='Main Settings') //Quotient LPPeriod = input.int(6, title='Quotient | LPPeriod', inline='quotient', group='EOT 1 (Main Oscillator)') K1 = input.int(0, title='K1', inline='quotient', group='EOT 1 (Main Oscillator)') esize = 60 //, title = "Size", inline = "quotient2", group = "EOT 1 (Main Oscillator)") ey = 50 //, title = "Y axis", inline = "quotient2", group = "EOT 1 (Main Oscillator)") trigno = input.int(1, 'Trigger Length', group='EOT 1 (Main Oscillator)', inline='quotient2') trigcol = input.color(color.white, title='Trigger Color:', group='EOT 1 (Main Oscillator)', inline='q2') // EOT 2 //Inputs LPPeriod2 = input.int(28, title='LPPeriod2', group='EOT 2 (Red Wave)', inline='q2') K22 = input.float(0.3, title='K2', group='EOT 2 (Red Wave)', inline='q2') //EOT 1 //Vars alpha1 = 0.00 HP = 0.00 a1 = 0.00 b1 = 0.00 c1 = 0.00 c2 = 0.00 c3 = 0.00 Filt = 0.00 Peak = 0.00 X = 0.00 Quotient1 = 0.00 pi = 2 * math.asin(1) //Highpass filter cyclic components //whose periods are shorter than 100 bars alpha1 := (math.cos(.707 * 2 * pi / 100) + math.sin(.707 * 2 * pi / 100) - 1) / math.cos(.707 * 2 * pi / 100) HP := (1 - alpha1 / 2) * (1 - alpha1 / 2) * (close - 2 * nz(close[1]) + nz(close[2])) + 2 * (1 - alpha1) * nz(HP[1]) - (1 - alpha1) * (1 - alpha1) * nz(HP[2]) //SuperSmoother Filter a1 := math.exp(-1.414 * pi / LPPeriod) b1 := 2 * a1 * math.cos(1.414 * pi / LPPeriod) c2 := b1 c3 := -a1 * a1 c1 := 1 - c2 - c3 Filt := c1 * (HP + nz(HP[1])) / 2 + c2 * nz(Filt[1]) + c3 * nz(Filt[2]) //Fast Attack - Slow Decay Algorithm Peak := .991 * nz(Peak[1]) if math.abs(Filt) > Peak Peak := math.abs(Filt) Peak //Normalized Roofing Filter if Peak != 0 X := Filt / Peak X Quotient1 := (X + K1) / (K1 * X + 1) // EOT 2 //Vars alpha1222 = 0.00 HP2 = 0.00 a12 = 0.00 b12 = 0.00 c12 = 0.00 c22 = 0.00 c32 = 0.00 Filt2 = 0.00 Peak2 = 0.00 X2 = 0.00 Quotient4 = 0.00 alpha1222 := (math.cos(.707 * 2 * pi / 100) + math.sin(.707 * 2 * pi / 100) - 1) / math.cos(.707 * 2 * pi / 100) HP2 := (1 - alpha1222 / 2) * (1 - alpha1222 / 2) * (close - 2 * nz(close[1]) + nz(close[2])) + 2 * (1 - alpha1222) * nz(HP2[1]) - (1 - alpha1222) * (1 - alpha1222) * nz(HP2[2]) //SuperSmoother Filter a12 := math.exp(-1.414 * pi / LPPeriod2) b12 := 2 * a12 * math.cos(1.414 * pi / LPPeriod2) c22 := b12 c32 := -a12 * a12 c12 := 1 - c22 - c32 Filt2 := c12 * (HP2 + nz(HP2[1])) / 2 + c22 * nz(Filt2[1]) + c32 * nz(Filt2[2]) //Fast Attack - Slow Decay Algorithm Peak2 := .991 * nz(Peak2[1]) if math.abs(Filt2) > Peak2 Peak2 := math.abs(Filt2) Peak2 //Normalized Roofing Filter if Peak2 != 0 X2 := Filt2 / Peak2 X2 Quotient4 := (X2 + K22) / (K22 * X2 + 1) q4 = Quotient4 * esize + ey //Plot EOT q1 = Quotient1 * esize + ey trigger = ta.sma(q1, trigno) Plot3 = plot(trigger, color=trigcol, linewidth=2, title='Quotient 1') Plot44 = plot(q4, color=color.new(color.red, 0), linewidth=2, title='Quotient 2') // ---------- // HULL SUITE // ---------- //INPUT src = input(close, title='Source') modeSwitch = input.string('Hma', title='Hull Variation', options=['Hma', 'Thma', 'Ehma']) length = input(200, title='Length(180-200 for floating S/R , 55 for swing entry)') lengthMult = input(2.4, title='Length multiplier (Used to view higher timeframes with straight band)') useHtf = input(false, title='Show Hull MA from X timeframe? (good for scalping)') htf = input.timeframe('240', title='Higher timeframe') //FUNCTIONS //HMA HMA(_src, _length) => ta.wma(2 * ta.wma(_src, _length / 2) - ta.wma(_src, _length), math.round(math.sqrt(_length))) //EHMA EHMA(_src, _length) => ta.ema(2 * ta.ema(_src, _length / 2) - ta.ema(_src, _length), math.round(math.sqrt(_length))) //THMA THMA(_src, _length) => ta.wma(ta.wma(_src, _length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length) //SWITCH Mode(modeSwitch, src, len) => modeSwitch == 'Hma' ? HMA(src, len) : modeSwitch == 'Ehma' ? EHMA(src, len) : modeSwitch == 'Thma' ? THMA(src, len / 2) : na //OUT _hull = Mode(modeSwitch, src, int(length * lengthMult)) HULL = useHtf ? request.security(syminfo.ticker, htf, _hull) : _hull MHULL = HULL[0] SHULL = HULL[2] //COLOR hullColor = MHULL > SHULL ? color.green : color.red //PLOT ///< Frame Fi1 = plot(-10, title='MHULL', color=hullColor, linewidth=2) // ----------------- // VOLUME OSCILLATOR // ----------------- volLength = input(80) spike = close - open x = ta.stdev(spike, volLength) y = ta.stdev(spike, volLength) * -1 volOscCol = spike > x ? color.green : spike < y ? color.red : color.gray plot(-30, color=color.new(volOscCol, transp=0), linewidth=2) // ============================================================================= // STRATEGY LOGIC // ============================================================================= // Boom Hunter Pro entry conditions boomLong = ta.crossover(trigger, q4) boomShort = ta.crossunder(trigger, q4) // Hull Suite entry conditions hullLong = MHULL > SHULL and close > MHULL hullShort = MHULL < SHULL and close < SHULL // Volatility Oscillator entry conditions volLong = spike > x volShort = spike < y inLong = strategy.position_size > 0 inShort = strategy.position_size < 0 longCondition = boomLong and hullLong and volLong and in_date_range shortCondition = boomShort and hullShort and volShort and in_date_range swingLow = ta.lowest(source=low, length=swingLength) swingHigh = ta.highest(source=high, length=swingLength) atr = ta.atr(14) longSl = math.min(close - atr, swingLow) shortSl = math.max(close + atr, swingHigh) longStopPercent = math.abs((1 - (longSl / close)) * 100) shortStopPercent = math.abs((1 - (shortSl / close)) * 100) longTpPercent = longStopPercent * profitFactor shortTpPercent = shortStopPercent * profitFactor longTp = close + (close * (longTpPercent / 100)) shortTp = close - (close * (shortTpPercent / 100)) // Position sizing (default risk 3% 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 inLong) strategy.entry("Long", strategy.long, qty=longQty) strategy.exit("Long SL/TP", from_entry="Long", stop=longSl, limit=longTp, 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=-40) 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) + " TP Percent: " + str.tostring(longTpPercent)) if (shortCondition and not inShort) strategy.entry("Short", strategy.short, qty=shortQty) strategy.exit("Short SL/TP", from_entry="Short", stop=shortSl, limit=shortTp, 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=-40) 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) + " TP Percent: " + str.tostring(shortTpPercent))