Esta estratégia integra o indicador MACD e as médias móveis de vários quadros de tempo para formar uma estratégia de negociação bidirecional que utiliza sinais de tendência e inversão de tendência.
Utilize dois grupos de EMAs com períodos diferentes como filtros de quadros de tempo múltiplos para determinar a direção longa/curta: EMA rápida de 15 minutos acima da EMA lenta de 1 hora como filtro de alta, EMA rápida de 15 minutos abaixo da EMA lenta de 1 hora como filtro de baixa.
Identificar possíveis reversões quando o MACD forma divergências (histograma diverge do preço).
Quando o filtro de alta estiver ligado, se a divergência de alta for detectada (preço novo alto, mas MACD não), espere que o MACD cruze acima da linha de sinal e vá longo.
O stop loss é definido dinamicamente com base na faixa de preços mais alta / mais baixa.
Fechar posição quando o histograma MACD cruza a linha 0 na direção oposta.
A combinação de EMA de vários prazos filtra a principal direção da tendência, evitando negociações contra-tendência.
As divergências do MACD captam oportunidades de reversão de preços, adequadas para estratégias de reversão.
A parada de perdas dinâmica bloqueia os lucros e impede perdas descontroladas.
Tirar lucro baseado na distância de stop loss dá o retorno esperado.
Os filtros da EMA podem dar uma direcção errada durante a consolidação.
A magnitude inversa insuficiente após a divergência do MACD pode causar perdas.
O ajuste incorreto da distância de perda de paragem pode ser demasiado frouxo ou demasiado apertado.
Limitação dos lucros.
Precisamos de uma entrada de inversão de tempo adequada, muito cedo ou tarde pode causar perdas.
Teste diferentes combinações de EMA para um melhor julgamento da tendência.
Tente configurações de parâmetros MACD mais sensíveis.
Teste diferentes rácios stop loss/take profit.
Adicionar filtros adicionais para evitar falsas inversões, por exemplo, EMAs de prazo mais elevados para a tendência global.
Otimizar a confirmação de entrada de reversão para reversões mais maduras.
Esta estratégia utiliza filtragem de tendências, sinais de reversão, gerenciamento dinâmico de stop / take profit para negociar com a tendência e capitalizar as reversões.
/*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)