Strategi ini menggunakan indikator Williams new highs and lows untuk mengidentifikasi sinyal pembalikan, dengan beberapa moving average untuk perdagangan breakout, dan RSI untuk menyaring sinyal palsu, memungkinkan perdagangan dua arah yang efisien.
Indikator tertinggi dan terendah baru Williams mengidentifikasi titik balik menggunakan harga tertinggi dan terendah selama periode tertentu.
Rata-rata bergerak 20, 50, dan 100 hari membentuk beberapa rata-rata bergerak. Sinyal perdagangan dihasilkan ketika harga menerobos dua dari rata-rata bergerak.
Indikator RSI mengidentifikasi zona overbought dan oversold untuk menyaring sinyal yang tidak pasti.
Strategi ini menentukan dua rata-rata bergerak yang rusak, menggabungkan sinyal indikator Williams dan penyaringan RSI untuk menghasilkan sinyal beli dan jual yang dapat diandalkan.
Aturan masuk: Ketika MA jangka pendek melintasi di atas MA jangka menengah atau panjang, dan sinyal rendah dan RSI rendah Williams baru muncul, pergi panjang.
Stop loss dan take profit: Persentase tetap stop loss dan take profit.
Indikator Williams secara akurat mengidentifikasi kunci dukungan dan resistensi untuk sinyal pembalikan.
Multiple moving average crossover menghindari sinyal palsu dari whipsaws moving average tunggal.
Filter RSI membantu waktu masuk lebih tepat dan dapat diandalkan.
Stop loss dan take profit tetap mengontrol risiko dan memberikan kejelasan tentang P&L.
Menggabungkan indikator pembalikan dan tren memberikan sinyal yang lebih dapat diandalkan.
Pilihan simbol yang tidak tepat, parameter perlu disesuaikan untuk simbol yang berbeda.
Pemilihan kerangka waktu yang tidak efisien, parameter perlu disetel untuk kerangka waktu yang berbeda.
Stop loss/take profit tetap tidak dapat beradaptasi dengan perubahan pasar, dapat berhenti atau mengambil keuntungan lebih awal.
Whipsaws ketika rata-rata bergerak berosilasi dapat menghasilkan sinyal palsu.
Tanda keterlambatan ketika indikator berbeda.
Optimasi dinamis parameter untuk instrumen perdagangan yang berbeda.
Memperkenalkan stop loss adaptif dan mengambil keuntungan untuk P & L yang lebih baik.
Tambahkan lebih banyak filter seperti MACD, Stochastics untuk mengurangi sinyal palsu.
Masukkan algoritma pembelajaran mesin untuk secara otomatis mendeteksi entri optimal.
Mengintegrasikan indikator tren untuk mengidentifikasi kondisi tren.
Strategi ini menggabungkan Williams, moving average, RSI dan alat analisis teknis lainnya, menggunakan konfirmasi ganda untuk mengurangi sinyal palsu dan secara efektif menangkap pembalikan, dengan stop loss / take profit tetap untuk mengendalikan risiko. Secara keseluruhan sistem perdagangan dua arah yang andal dan praktis. Langkah selanjutnya adalah peningkatan kinerja lebih lanjut melalui optimasi parameter, peningkatan stop loss / take profit dan pemodelan ensemble.
/*backtest start: 2023-11-07 00:00:00 end: 2023-11-14 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/ // © B_L_A_C_K_S_C_O_R_P_I_O_N // v 1.1 //@version=4 strategy("Williams Fractals Strategy by ȼhąţhµяąɲǥą", overlay=true, default_qty_type=strategy.cash, default_qty_value=1000, currency='USD') // *************Appearance************* theme = input(type=input.string, defval="dark", options=["light","dark"], group="Appearance") show_fractals = input(false, "Show Fractals", group="Appearance") show_ema = input(false, "Show EMAs", group="Appearance") // *************colors************* color_green = color.green color_red = color.red color_yellow = color.yellow color_orange = color.orange color_blue = color.blue color_white = color.white // *************WF************* // Define "n" as the number of periods and keep a minimum value of 2 for error handling. n = input(title="Fractal Periods", defval=2, minval=2, type=input.integer, group="Williams Fractals") // UpFractal bool upflagDownFrontier = true bool upflagUpFrontier0 = true bool upflagUpFrontier1 = true bool upflagUpFrontier2 = true bool upflagUpFrontier3 = true bool upflagUpFrontier4 = true for i = 1 to n upflagDownFrontier := upflagDownFrontier and (high[n-i] < high[n]) upflagUpFrontier0 := upflagUpFrontier0 and (high[n+i] < high[n]) upflagUpFrontier1 := upflagUpFrontier1 and (high[n+1] <= high[n] and high[n+i + 1] < high[n]) upflagUpFrontier2 := upflagUpFrontier2 and (high[n+1] <= high[n] and high[n+2] <= high[n] and high[n+i + 2] < high[n]) upflagUpFrontier3 := upflagUpFrontier3 and (high[n+1] <= high[n] and high[n+2] <= high[n] and high[n+3] <= high[n] and high[n+i + 3] < high[n]) upflagUpFrontier4 := upflagUpFrontier4 and (high[n+1] <= high[n] and high[n+2] <= high[n] and high[n+3] <= high[n] and high[n+4] <= high[n] and high[n+i + 4] < high[n]) flagUpFrontier = upflagUpFrontier0 or upflagUpFrontier1 or upflagUpFrontier2 or upflagUpFrontier3 or upflagUpFrontier4 upFractal = (upflagDownFrontier and flagUpFrontier) // downFractal bool downflagDownFrontier = true bool downflagUpFrontier0 = true bool downflagUpFrontier1 = true bool downflagUpFrontier2 = true bool downflagUpFrontier3 = true bool downflagUpFrontier4 = true for i = 1 to n downflagDownFrontier := downflagDownFrontier and (low[n-i] > low[n]) downflagUpFrontier0 := downflagUpFrontier0 and (low[n+i] > low[n]) downflagUpFrontier1 := downflagUpFrontier1 and (low[n+1] >= low[n] and low[n+i + 1] > low[n]) downflagUpFrontier2 := downflagUpFrontier2 and (low[n+1] >= low[n] and low[n+2] >= low[n] and low[n+i + 2] > low[n]) downflagUpFrontier3 := downflagUpFrontier3 and (low[n+1] >= low[n] and low[n+2] >= low[n] and low[n+3] >= low[n] and low[n+i + 3] > low[n]) downflagUpFrontier4 := downflagUpFrontier4 and (low[n+1] >= low[n] and low[n+2] >= low[n] and low[n+3] >= low[n] and low[n+4] >= low[n] and low[n+i + 4] > low[n]) flagDownFrontier = downflagUpFrontier0 or downflagUpFrontier1 or downflagUpFrontier2 or downflagUpFrontier3 or downflagUpFrontier4 downFractal = (downflagDownFrontier and flagDownFrontier) plotshape(downFractal and show_fractals, style=shape.triangleup, location=location.belowbar, offset=-n, color=color_green) plotshape(upFractal and show_fractals, style=shape.triangledown, location=location.abovebar, offset=-n, color=color_red) // *************EMA************* len_a = input(20, minval=1, title="EMA Length A", group="EMA") src_a = input(close, title="EMA Source A", group="EMA") offset_a = input(title="EMA Offset A", type=input.integer, defval=0, minval=-500, maxval=500, group="EMA") out_a = ema(src_a, len_a) plot(show_ema ? out_a : na, title="EMA A", color=color_green, offset=offset_a) len_b = input(50, minval=1, title="EMA Length B", group="EMA") src_b = input(close, title="EMA Source B", group="EMA") offset_b = input(title="EMA Offset B", type=input.integer, defval=0, minval=-500, maxval=500, group="EMA") out_b = ema(src_b, len_b) ema_b_color = (theme == "dark") ? color_yellow : color_orange plot(show_ema ? out_b : na, title="EMA B", color=ema_b_color, offset=offset_b) len_c = input(100, minval=1, title="EMA Length C", group="EMA") src_c = input(close, title="EMA Source C", group="EMA") offset_c = input(title="EMA Offset C", type=input.integer, defval=0, minval=-500, maxval=500, group="EMA") out_c = ema(src_c, len_c) ema_c_color = (theme == "dark") ? color_white : color_blue plot(show_ema ? out_c : na, title="EMA C", color=ema_c_color, offset=offset_c) // *************RSI************* rsi_len = input(14, minval=1, title="RSI Length", group="RSI") rsi_src = input(close, "RSI Source", type = input.source, group="RSI") up = rma(max(change(rsi_src), 0), rsi_len) down = rma(-min(change(rsi_src), 0), rsi_len) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) // *************Calculation************* long = (out_a > out_b) and (out_a > out_c) and downFractal and low[2] > out_c and rsi[2] < rsi short = (out_a < out_b) and (out_a < out_c) and upFractal and high[2] < out_c and rsi[2] > rsi plotshape(long, style=shape.labelup, color=color_green, location=location.belowbar, title="long label", text= "L", textcolor=color_white) plotshape(short, style=shape.labeldown, color=color_red, location=location.abovebar, title="short label", text= "S", textcolor=color_white) // *************End of Signals calculation************* // Make input options that configure backtest date range startDate = input(title="Start Date", type=input.integer, defval=1, minval=1, maxval=31, group="Orders") startMonth = input(title="Start Month", type=input.integer, defval=1, minval=1, maxval=12, group="Orders") startYear = input(title="Start Year", type=input.integer, defval=2018, minval=1800, maxval=2100, group="Orders") endDate = input(title="End Date", type=input.integer, defval=1, minval=1, maxval=31, group="Orders") endMonth = input(title="End Month", type=input.integer, defval=12, minval=1, maxval=12, group="Orders") endYear = input(title="End Year", type=input.integer, defval=2022, minval=1800, maxval=2100, group="Orders") // Look if the close time of the current bar // falls inside the date range inDateRange = true // Make inputs that set the take profit % (optional) longProfitPerc = input(title="Long Take Profit (%)", type=input.float, minval=0.0, step=0.1, defval=0.5, group="Orders") * 0.01 shortProfitPerc = input(title="Short Take Profit (%)", type=input.float, minval=0.0, step=0.1, defval=0.5, group="Orders") * 0.01 // Figure out take profit price longExitPrice = strategy.position_avg_price * (1 + longProfitPerc) shortExitPrice = strategy.position_avg_price * (1 - shortProfitPerc) // Plot take profit values for confirmation plot(series=(strategy.position_size > 0) ? longExitPrice : na, color=color_green, style=plot.style_circles, linewidth=1, title="Long Take Profit") plot(series=(strategy.position_size < 0) ? shortExitPrice : na, color=color_green, style=plot.style_circles, linewidth=1, title="Short Take Profit") // Submit entry orders if (inDateRange and long and strategy.opentrades == 0) strategy.entry(id="Long", long=true) if (inDateRange and short and strategy.opentrades == 0) strategy.entry(id="Short", long=false) // Submit exit orders based on take profit price // if (strategy.position_size > 0) // strategy.exit(id="LTP", limit=longExitPrice) // if (strategy.position_size < 0) // strategy.exit(id="STP", limit=shortExitPrice) // Set stop loss level with input options (optional) longLossPerc = input(title="Long Stop Loss (%)", type=input.float, minval=0.0, step=0.1, defval=3.1, group="Orders") * 0.01 shortLossPerc = input(title="Short Stop Loss (%)", type=input.float, minval=0.0, step=0.1, defval=3.1, group="Orders") * 0.01 // Determine stop loss price longStopPrice = strategy.position_avg_price * (1 - longLossPerc) shortStopPrice = strategy.position_avg_price * (1 + shortLossPerc) // Plot stop loss values for confirmation plot(series=(strategy.position_size > 0) ? longStopPrice : na, color=color_red, style=plot.style_cross, linewidth=1, title="Long Stop Loss") plot(series=(strategy.position_size < 0) ? shortStopPrice : na, color=color_red, style=plot.style_cross, linewidth=1, title="Short Stop Loss") // Submit exit orders based on calculated stop loss price if (strategy.position_size > 0) strategy.exit(id="ExL",limit=longExitPrice, stop=longStopPrice) if (strategy.position_size < 0) strategy.exit(id="ExS", limit=shortExitPrice, stop=shortStopPrice) // Exit open market position when date range ends if (not inDateRange) strategy.close_all()