Strategi ini mengintegrasikan indikator MACD dan rata-rata bergerak multi time frame untuk membentuk strategi perdagangan dua arah yang memanfaatkan sinyal tren dan pembalikan tren.
Gunakan dua kelompok EMA dengan periode yang berbeda sebagai filter multi time frame untuk menentukan arah panjang/pendek: EMA cepat 15 menit di atas EMA lambat 1 jam sebagai filter bull, EMA cepat 15 menit di bawah EMA lambat 1 jam sebagai filter bear.
Mengidentifikasi kemungkinan pembalikan ketika MACD membentuk divergensi (histogram menyimpang dari harga).
Ketika filter bull menyala, jika divergensi bullish terdeteksi (harga baru tinggi tetapi MACD tidak), tunggu MACD melintasi di atas garis sinyal dan pergi panjang.
Stop loss diatur secara dinamis berdasarkan rentang harga tertinggi tertinggi / terendah terendah.
Tutup posisi ketika histogram MACD melintasi garis 0 ke arah yang berlawanan.
Multi time frame EMA combo menyaring arah tren utama, menghindari perdagangan kontra-tren.
Perbedaan MACD menangkap peluang pembalikan harga, cocok untuk strategi pembalikan.
Dinamis trailing stop loss mengunci dalam keuntungan dan mencegah hilangnya kerugian.
Ambil keuntungan berdasarkan jarak stop loss memberikan imbalan yang diharapkan.
Filter EMA dapat memberikan arah yang salah selama konsolidasi.
Ukuran terbalik yang tidak cukup setelah divergensi MACD dapat menyebabkan kerugian.
Pengaturan jarak stop loss yang tidak benar mungkin terlalu longgar atau terlalu ketat.
Restricted reverse room caps keuntungan.
Butuh waktu yang tepat untuk membalikkan entri, terlalu awal atau terlambat bisa menyebabkan kerugian.
Uji kombinasi EMA yang berbeda untuk penilaian tren yang lebih baik.
Cobalah pengaturan parameter MACD yang lebih sensitif.
Uji rasio stop loss/take profit yang berbeda.
Tambahkan filter tambahan untuk menghindari pembalikan palsu, misalnya EMA jangka waktu yang lebih tinggi untuk tren global.
Mengoptimalkan konfirmasi masuk pembalikan untuk pembalikan yang lebih matang.
Strategi ini menggunakan penyaringan tren, sinyal pembalikan, manajemen stop / take profit dinamis untuk berdagang dengan tren dan memanfaatkan pembalikan. penyesuaian parameter yang tepat dan pengoptimalan filter menyesuaikan dengan berbagai kondisi pasar, memberikan keuntungan yang stabil sambil mengendalikan risiko.
/*backtest start: 2023-01-01 00:00:00 end: 2023-06-16 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/ // © maxits //@version=4 // MACD Divergence + Multi Time Frame EMA // This Strategy uses 3 indicators: the Macd and two emas in different time frames // The configuration of the strategy is: // Macd standar configuration (12, 26, 9) in 1H resolution // 10 periods ema, in 1H resolution // 5 periods ema, in 15 minutes resolution // We use the two emas to filter for long and short positions. // If 15 minutes ema is above 1H ema, we look for long positions // If 15 minutes ema is below 1H ema, we look for short positions // We can use an aditional filter using a 100 days ema, so when the 15' and 1H emas are above the daily ema we take long positions // Using this filter improves the strategy // We wait for Macd indicator to form a divergence between histogram and price // If we have a bullish divergence, and 15 minutes ema is above 1H ema, we wait for macd line to cross above signal line and we open a long position // If we have a bearish divergence, and 15 minutes ema is below 1H ema, we wait for macd line to cross below signal line and we open a short position // We close both position after a cross in the oposite direction of macd line and signal line // Also we can configure a Take profit parameter and a trailing stop loss // strategy("Macd + MTF EMA", // overlay=true, // initial_capital=1000, // default_qty_value=20, // default_qty_type=strategy.percent_of_equity, // commission_value=0.1, // pyramiding=0) // User Inputs i_time = input(defval = timestamp("01 Apr 2018 13:30 +0000"), title = "Start Time", type = input.time) // Starting time for backtest f_time = input(defval = timestamp("30 Sep 2021 13:30 +0000"), title = "Finish Time", type = input.time) // Finishing time for backtest long_pos = input(title="Show Long Positions", defval=true, type=input.bool) // Enable Long Positions short_pos = input(title="Show Short Positions", defval=true, type=input.bool) // Enable Short Positions src = input(close, title="Source") // Price value to calculate indicators emas_properties = input(title="============ EMAS Properties ============", defval=false, type=input.bool) // Properties mtf_15 = input(title="Fast EMA", type=input.resolution, defval="15") // Resolucion para MTF EMA 15 minutes ma_15_length = input(5, title = "Fast EMA Period") // MTF EMA 15 minutes Length mtf_60 = input(title="Slow EMA", type=input.resolution, defval="60") // Resolucion para MTF EMA 60 minutes ma_60_length = input(10, title = "Slow EMA Period") // MTF EMA 60 minutes Length e_new_filter = input(title="Enable a Third Ema filter?", defval=true, type=input.bool) slowest_ema_len = input(100, title = "Fast EMA Period") slowest_ema_res = input(title="Slowest EMA", type=input.resolution, defval="D") macd_res = input(title="MACD TimeFrame", type=input.resolution, defval="") // MACD Time Frame macd_properties = input(title="============ MACD Properties ============", defval="") // Properties fast_len = input(title="Fast Length", type=input.integer, defval=12) // Fast MA Length slow_len = input(title="Sign Length", type=input.integer, defval=26) // Sign MA Length sign_len = input(title="Sign Length", type=input.integer, defval=9) syst_properties = input(title="============ System Properties ============", defval="") // Properties lookback = input(title="Lookback period", type=input.integer, defval=14, minval=1) // Candles to lookback for swing high or low multiplier = input(title="Profit Multiplier based on Stop Loss", type=input.float, defval=6.0, minval=0.1) // Profit multiplier based on stop loss shortStopPer = input(title="Short Stop Loss Percentage", type=input.float, defval=1.0, minval=0.0)/100 longStopPer = input(title="Long Stop Loss Percentage", type=input.float, defval=2.0, minval=0.0)/100 // Indicators [macd, signal, hist] = security(syminfo.tickerid, macd_res, macd(src, fast_len, slow_len, sign_len)) ma_15 = security(syminfo.tickerid, mtf_15, ema(src, ma_15_length)) ma_60 = security(syminfo.tickerid, mtf_60, ema(src, ma_60_length)) ma_slo = security(syminfo.tickerid, slowest_ema_res, ema(src, slowest_ema_len)) // Macd Plot col_grow_above = #26A69A col_grow_below = #FFCDD2 col_fall_above = #B2DFDB col_fall_below = #EF5350 plot(macd, color=color.new(color.blue, 0)) // Solo para visualizar que se plotea correctamente plot(signal, color=color.new(color.orange, 0)) plot(hist, style=plot.style_columns, color=(hist >= 0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below))) // MTF EMA Plot bullish_filter = e_new_filter ? ma_15 > ma_60 and ma_60 > ma_slo : ma_15 > ma_60 bearish_filter = e_new_filter ? ma_15 < ma_60 and ma_60 < ma_slo : ma_15 < ma_60 plot(ma_15, color=color.new(color.blue, 0)) plot(ma_60, color=color.new(color.yellow, 0)) plot(e_new_filter ? ma_slo : na, color = ma_60 > ma_slo ? color.new(color.green, 0) : color.new(color.red, 0)) ////////////////////////////////////////////// Logic For Divergence zero_cross = false zero_cross := crossover(hist,0) or crossunder(hist,0) //Cruce del Histograma a la linea 0 // plot(zero_cross ? 1 : na) // MACD DIVERGENCE TOPS (Bearish Divergence) highest_top = 0.0 highest_top := (zero_cross == true ? 0.0 : (hist > 0 and hist > highest_top[1] ? hist : highest_top[1])) prior_top = 0.0 prior_top := (crossunder(hist,0) ? highest_top[1] : prior_top[1]) // Búsqueda del Maximo en MACD // plot(highest_top) // plot(prior_top) highest_top_close = 0.0 highest_top_close := (zero_cross == true ? 0.0 : (hist > 0 and hist > highest_top[1] ? close : highest_top_close[1])) prior_top_close = 0.0 prior_top_close := (crossunder(hist,0) ? highest_top_close[1] : prior_top_close[1]) // Búsqueda del Maximo en pRECIO // plot(highest_top_close) // plot(prior_top_close) top = false top := highest_top[1] < prior_top[1] and highest_top_close[1] > prior_top_close[1] and hist < hist[1] and crossunder(hist,0) // Bearish Divergence: top == true // MACD DIVERGENCE BOTTOMS (Bullish Divergence) lowest_bottom = 0.0 lowest_bottom := (zero_cross == true ? 0.0 : (hist < 0 and hist < lowest_bottom[1] ? hist : lowest_bottom[1])) prior_bottom = 0.0 prior_bottom := (crossover(hist,0) ? lowest_bottom[1] : prior_bottom[1]) lowest_bottom_close = 0.0 lowest_bottom_close := (zero_cross == true ? 0.0 : (hist < 0 and hist < lowest_bottom[1] ? close : lowest_bottom_close[1])) prior_bottom_close = 0.0 prior_bottom_close := (crossover(hist,0) ? lowest_bottom_close[1] : prior_bottom_close[1]) bottom = false bottom := lowest_bottom[1] > prior_bottom[1] and lowest_bottom_close[1] < prior_bottom_close[1] and hist > hist[1] and crossover(hist,0) // Bullish Divergence: bottom == true ////////////////////////////////////////////// System Conditions ////////////////////////////////////////////// inTrade = strategy.position_size != 0 // In Trade longTrade = strategy.position_size > 0 // Long position shortTrade = strategy.position_size < 0 // Short position notInTrade = strategy.position_size == 0 // No trade entryPrice = strategy.position_avg_price // Position Entry Price ////////////////////////////////////////////// Long Conditions ////////////////////////////////////////////// sl = lowest(low, lookback) // Swing Low for Long Entry longStopLoss = 0.0 // Trailing Stop Loss calculation longStopLoss := if (longTrade) astopValue = sl * (1 - longStopPer) max(longStopLoss[1], astopValue) else 0 longTakeProf = 0.0 // Profit calculation based on stop loss longTakeProf := if (longTrade) profitValue = entryPrice + (entryPrice - longStopLoss) * multiplier max(longTakeProf[1], profitValue) else 0 // Long Entry Conditions if bottom and notInTrade and bullish_filter and long_pos strategy.entry(id="Go Long", long=strategy.long, comment="Long Position") // strategy.close(id="Go Long", when=zero_cross) if longTrade strategy.exit("Exit Long", "Go Long", limit = longTakeProf, stop = longStopLoss) plot(longTrade and longStopLoss ? longStopLoss : na, title="Long Stop Loss", color=color.new(color.red, 0), style=plot.style_linebr) plot(longTrade and longTakeProf ? longTakeProf : na, title="Long Take Prof", color=color.new(color.green, 0), style=plot.style_linebr) ////////////////////////////////////////////// Short Conditions ////////////////////////////////////////////// sh = highest(high, lookback) // Swing High for Short Entry shortStopLoss = 0.0 shortStopLoss := if (shortTrade) bstopValue = sh * (1 + shortStopPer) min(shortStopLoss[1], bstopValue) else 999999 shortTakeProf = 0.0 shortTakeProf := if (shortTrade) SprofitValue = entryPrice - (shortStopLoss - entryPrice) * multiplier min(SprofitValue, shortTakeProf[1]) else 999999 // Short Entry if top and notInTrade and bearish_filter and short_pos strategy.entry(id="Go Short", long=strategy.short, comment="Short Position") // strategy.close(id="Go Short", when=zero_cross) if shortTrade strategy.exit("Exit Short", "Go Short", limit = shortTakeProf, stop = shortStopLoss) plot(shortTrade and shortStopLoss ? shortStopLoss : na, title="Short Stop Loss", color=color.new(color.red, 0), style=plot.style_linebr) plot(shortTrade and shortTakeProf ? shortTakeProf : na, title="Short Take Prof", color=color.new(color.green, 0), style=plot.style_linebr)