A estratégia de linha de reversão média é uma estratégia de negociação de curto prazo baseada em reversões médias móveis.
A estratégia é usada principalmente para produtos altamente líquidos, como índices de ações, forex e metais preciosos.
Use Bandas de Bollinger para julgar as zonas de desvio de preço. Considere ir curto quando o preço se aproxima da Banda de Bollinger superior e considere ir longo quando o preço se aproxima da Banda de Bollinger inferior.
Combine o indicador RSI para determinar condições de sobrecompra e sobrevenda.
O indicador CCI é relativamente sensível às anomalias e pode capturar efetivamente as oportunidades de reversão dos preços.
A posição da média móvel representa a faixa de preços principal atual e a relação entre o preço e a média móvel reflete mudanças potenciais na tendência.
Após o sinal de entrada ser confirmado, feche a posição rapidamente para obter lucros.
A estratégia de linha de reversão média combina Bandas de Bollinger, RSI, CCI e outros indicadores. Estes indicadores são bastante sensíveis às mudanças de preço e sua combinação pode melhorar a precisão do sinal e reduzir os falsos sinais.
A estratégia requer sinais e preços de indicadores sincronizados para evitar a enganação por um único indicador.
Seja longo ou curto, a estratégia definirá uma linha de stop loss relativamente rigorosa.
A estratégia estabelecerá duas metas de lucro para realizar lucros em etapas. Ao mesmo tempo, depois de tirar lucro, ele usará rastreamento de stop loss de ajuste de pequenos passos para expandir o espaço de lucro por comércio.
Em caso de flutuações extremas de preços, a linha de stop loss pode ser quebrada, causando perdas desnecessárias.
Este risco pode ser mitigado através da ampliação do intervalo de stop loss e evitando operações durante grandes eventos.
Quando a tendência de alta é muito feroz, os preços muitas vezes aumentam muito rapidamente para reverterem no tempo.
É melhor esperar e ver temporariamente neste caso, e considerar a possibilidade de fazer curto apenas após o ímpeto ascendente ter enfraquecido significativamente.
Os resultados do backtest podem ser testados sob diferentes combinações de parâmetros para selecionar os parâmetros ideais.
Os indicadores de volume, como o volume de negociação ou a largura de banda de Bollinger, podem ser adicionados, evitando a geração de falsos sinais quando os preços estão apenas ajustando ligeiramente.
Diferentes pontos de tomada de lucro e stop loss podem ser testados para maximizar o lucro por negociação.
A estratégia de linha de reversão média utiliza de forma abrangente vários julgamentos de indicadores e possui as características de sinais precisos, operações sólidas e riscos controláveis. É adequada para produtos que são altamente sensíveis às mudanças do mercado e têm uma liquidez relativamente forte.
Em aplicações práticas, a atenção ainda deve ser dada à otimização dos parâmetros do indicador, ao mesmo tempo em que se combinam indicadores de volume para determinar o momento das reversões reais.
/*backtest start: 2022-12-22 00:00:00 end: 2023-12-28 00:00:00 period: 1d basePeriod: 1h 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/ // © sg1999 //@version=4 // >>>>>strategy name strategy(title = "CCI-RSI MR", shorttitle = "CCI-RSI MR", overlay = true) // >>>>input variables // 1. risk per trade as % of initial capital risk_limit = input(title="Risk Limit (%)", type=input.float, minval=0.1, defval=2.0, step=0.1) // 2. drawdown Draw_down = input(title="Max Drawdown (x ATR)", type=input.float, minval=0.5, maxval=10, defval=2.0, step=0.1) // 3. type of stop loss to be used original_sl_type = input(title="SL Based on", defval="Close Price", options=["Close Price","Last Traded Price"]) // 4. entry signal validity for bollinger strategies dist_from_signal= input(title="Entry distance from signal", type=input.integer, minval=1, maxval=20, defval=3, step=1) // 5. multiple exit points exit_1_pft_pct = input(title="1st exit when reward is", type=input.float, minval=0.5, maxval=100, defval=1.0, step=0.1) exit_1_qty_pct = input(title="1st exit quantity %", type=input.float, minval=1, maxval=100, defval=100, step=5) exit_2_pft_pct = input(title="2nd exit when reward is", type=input.float, minval=0.5, maxval=100, defval=1.5, step=0.1) sl_trail_pct = input(title="Trailing SL compared to original SL", type=input.float, minval=0.5, maxval=100, defval=0.5, step=0.5) //show signal bool plotBB = input(title="Show BB", type=input.bool, defval=true) plotSignals = input(title="Show Signals", type=input.bool, defval=true) // 6. date range to be used for backtesting fromMonth = input(defval = 1, title = "From Month", type = input.integer, minval = 1, maxval = 12) fromDay = input(defval = 1, title = "From Day", type = input.integer, minval = 1, maxval = 31) fromYear = input(defval = 1990, title = "From Year", type = input.integer, minval = 1970) thruMonth = input(defval = 1, title = "Thru Month", type = input.integer, minval = 1, maxval = 12) thruDay = input(defval = 1, title = "Thru Day", type = input.integer, minval = 1, maxval = 31) thruYear = input(defval = 2022, title = "Thru Year", type = input.integer, minval = 1970) start = timestamp(fromYear, fromMonth, fromDay, 00, 00) // backtest start window finish = timestamp(thruYear, thruMonth, thruDay, 23, 59) // backtest finish window window() => true // >>>>>strategy variables //input variables current_high = highest(high, 5) // swing high (5 period) current_low = lowest(low, 5) // swing low (5 period) current_ma = sma(close, 5) // Simple Moving average (5 period) atr_length = atr(20) // ATR (20 period) CCI = cci(close,20) // CCI (20 period) RSI = rsi(close,14) // RSI (14 period) RSI_5 = sma (RSI, 5) // Simple moving average of RSI (5 period) // 1. for current candle long_entry = false short_entry = false risk_reward_ok = false sl_hit_flag = false tsl_hit_flag = false sl_cross = false // 2. across candles var RSI_short = false //short signal boolean var RSI_long = false //long signal boolean var cci_sell = false //sellsignal crossunder boolean var cci_buy = false //buy signal crossover boolean var bar_count_long = 0 // Number of bars after a long signal var bar_count_short = 0 // Number of bars after a short signal var candles_on_trade = 0 var entry_price = 0.00 var sl_price = 0.00 var qty = 0 var exit_1_qty = 0 var exit_2_qty = 0 var exit_1_price = 0.0 var exit_2_price = 0.0 var hold_high = 0.0 // variable used to calculate Trailing sl var hold_low = 0.0 // variable used to calculate Trailing sl var tsl_size = 0.0 // Trailing Stop loss size(xR) var sl_size = 0.0 // Stop loss size (R) var tsl_price = 0.0 //Trailing stoploss price // >>>>>strategy conditions. // Bollinger bands (2 std) [mBB0,uBB0,lBB0] = bb(close,20,2) uBB0_low= lowest(uBB0,3) // lowest among upper BB of past 3 periods lBB0_high= highest(lBB0,3) //highest among upper BB of past 3 periods //RSI and CCI may not necessarily crossunder on the same candle t_sell_RSI = sum( crossunder(RSI,RSI_5)? 1 : 0, 2) == 1 // checks if crossunder has happened in the last 3 candles (including the current candle) t_sell_CCI = sum( crossunder(CCI,100)? 1 : 0, 2) == 1 //and (CCI >50) t_buy_RSI = sum( crossover(RSI,RSI_5)? 1 : 0, 2) == 1 //checks if crossover has happened in the last 3 candles (including the current candle) t_buy_CCI = sum( crossover(CCI,-100) ? 1 : 0, 2) == 1 //and (CCI<-50) // CONDITIONS FOR A SELL signal if t_sell_RSI and t_sell_CCI and (current_high >= uBB0_low) cci_sell := true bar_count_short := 0 if cci_sell and strategy.position_size ==0 bar_count_short := bar_count_short + 1 if cci_sell and bar_count_short<= dist_from_signal and close <= current_ma and strategy.position_size ==0 RSI_short := true //conditions for a BUY signal if t_buy_RSI and t_buy_CCI and (current_low <= lBB0_high) // or current_low_close <= lBB01_high) cci_buy := true bar_count_long := 0 if cci_buy and strategy.position_size ==0 bar_count_long := bar_count_long + 1 if cci_buy and bar_count_long<= dist_from_signal and close >= current_ma and strategy.position_size ==0 RSI_long := true if RSI_long and RSI_short RSI_long := false RSI_short := false // >>>>>entry and target specifications if strategy.position_size == 0 and RSI_short short_entry := true entry_price := close sl_price := current_high + syminfo.mintick // (swing high + one tick) is the stop loss sl_size := abs(entry_price - sl_price) candles_on_trade := 0 tsl_size := abs(entry_price - sl_price)*sl_trail_pct // Here sl_trail_pct is the multiple of R which is used to calculate TSL size if strategy.position_size == 0 and RSI_long long_entry := true entry_price := close sl_price := current_low - syminfo.mintick //(swing low - one tick) is the stop loss candles_on_trade := 0 sl_size := abs(entry_price - sl_price) tsl_size := abs(entry_price - sl_price)*sl_trail_pct // Here sl_trail_pct is the multiple of R which is used to calculate TSL size if long_entry and short_entry long_entry := false short_entry := false // >>>>risk evaluation criteria //>>>>> quantity determination and exit point specifications. if (long_entry or short_entry) and strategy.position_size == 0 // Based on our risk (R), no.of lots is calculated by considering a risk per trade limit formula qty := round((strategy.equity) * (risk_limit/100)/(abs(entry_price - sl_price)*syminfo.pointvalue)) exit_1_qty := round(qty * (exit_1_qty_pct/100)) exit_2_qty := qty - (exit_1_qty) if long_entry exit_1_price := entry_price + (sl_size * exit_1_pft_pct) exit_2_price := entry_price + (sl_size * exit_2_pft_pct) if short_entry exit_1_price := entry_price - (sl_size * exit_1_pft_pct) exit_2_price := entry_price - (sl_size * exit_2_pft_pct) // trail SL after 1st target is hit if abs(strategy.position_size) == 0 hold_high := 0 hold_low := 0 if strategy.position_size > 0 and high > exit_1_price if high > hold_high or hold_high == 0 hold_high := high tsl_price := hold_high - tsl_size if strategy.position_size < 0 and low < exit_1_price if low < hold_low or hold_low == 0 hold_low := low tsl_price := hold_low + tsl_size //>>>> entry conditons if long_entry and strategy.position_size == 0 strategy.cancel("BUY", window()) // add another window condition which considers day time (working hours) strategy.order("BUY", strategy.long, qty, comment="BUY @ "+ tostring(entry_price),when=window()) if short_entry and strategy.position_size == 0 strategy.cancel("SELL", window()) // add another window condition which considers day time (working hours) strategy.order("SELL", strategy.short, qty, comment="SELL @ "+ tostring(entry_price),when=window()) //>>>> exit conditons tsl_hit_flag := false //exit at tsl if strategy.position_size > 0 and close < tsl_price and abs(strategy.position_size)!=qty strategy.order("EXIT at TSL", strategy.short, abs(strategy.position_size), comment="EXIT TSL @ "+ tostring(close)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 tsl_hit_flag := true cci_sell := false cci_buy := false strategy.cancel("EXIT 1", true) strategy.cancel("EXIT 2", true) strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at SL",true) if strategy.position_size < 0 and close > tsl_price and abs(strategy.position_size)!=qty strategy.order("EXIT at TSL", strategy.long, abs(strategy.position_size), comment="EXIT TSL @ "+ tostring(close)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 tsl_hit_flag := true cci_sell := false cci_buy := false strategy.cancel("EXIT 1", true) strategy.cancel("EXIT 2", true) strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at SL",true) //>>>>exit at sl if strategy.position_size > 0 and original_sl_type == "Close Price" and close < sl_price and abs(strategy.position_size)==qty strategy.cancel("EXIT at SL", true) strategy.order("EXIT at SL", strategy.short, abs(strategy.position_size),stop= sl_price, comment="EXIT SL @ "+ tostring(close)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false sl_hit_flag := true strategy.cancel("EXIT 1", true) strategy.cancel("EXIT 2", true) strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at TSL",true) if strategy.position_size < 0 and original_sl_type == "Close Price" and close > sl_price and abs(strategy.position_size)==qty strategy.cancel("EXIT at SL", true) strategy.order("EXIT at SL", strategy.long, abs(strategy.position_size), stop = sl_price, comment="EXIT SL @ "+ tostring(close)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false sl_hit_flag := true strategy.cancel("EXIT 1", true) strategy.cancel("EXIT 2", true) strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at TSL",true) //>>>>>for ltp sl setting if strategy.position_size > 0 and original_sl_type == "Last Traded Price" and abs(strategy.position_size) ==qty strategy.order("EXIT at SL", strategy.short, abs(strategy.position_size),stop= sl_price, comment="EXIT SL @ "+ tostring(close)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false strategy.cancel("EXIT 1", true) strategy.cancel("EXIT 2", true) strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at TSL",true) if strategy.position_size < 0 and original_sl_type == "Last Traded Price" and abs(strategy.position_size) ==qty strategy.order("EXIT at SL", strategy.long, abs(strategy.position_size), stop = sl_price, comment="EXIT SL @ "+ tostring(close)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false strategy.cancel("EXIT 1", true) strategy.cancel("EXIT 2", true) strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at TSL",true) //>>>>>exit at target if strategy.position_size > 0 and abs(strategy.position_size) == qty and not tsl_hit_flag strategy.order("EXIT 1", strategy.short, exit_1_qty, limit=exit_1_price, comment="EXIT TG1 @ "+ tostring(exit_1_price)) strategy.cancel("Exit Drawd",true) cci_sell := false cci_buy := false if strategy.position_size > 0 and abs(strategy.position_size) < qty and abs(strategy.position_size) != qty and not tsl_hit_flag strategy.order("EXIT 2", strategy.short, exit_2_qty, limit=exit_2_price, comment="EXIT TG2 @ "+ tostring(exit_2_price)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at SL", true) if strategy.position_size < 0 and abs(strategy.position_size) == qty and not tsl_hit_flag strategy.order("EXIT 1", strategy.long, exit_1_qty, limit=exit_1_price, comment="EXIT TG1 @ "+ tostring(exit_1_price)) strategy.cancel("Exit Drawd",true) cci_buy := false cci_sell := false if strategy.position_size < 0 and abs(strategy.position_size) < qty and abs(strategy.position_size) != qty strategy.order("EXIT 2", strategy.long, exit_2_qty, limit=exit_2_price, comment="EXIT TG2 @ "+ tostring(exit_2_price)) RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false strategy.cancel("Exit Drawd",true) strategy.cancel("EXIT at SL", true) //>>>>>>drawdown execution if strategy.position_size < 0 and original_sl_type == "Close Price" and not tsl_hit_flag strategy.cancel("Exit Drawd",true) strategy.order("Exit Drawd", strategy.long, abs(strategy.position_size), stop= (entry_price + Draw_down*atr_length) ,comment="Drawdown exit S") RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false if strategy.position_size > 0 and original_sl_type == "Close Price" and not tsl_hit_flag and not sl_hit_flag strategy.cancel("Exit Drawd",true) strategy.order("Exit Drawd", strategy.short, abs(strategy.position_size), stop= (entry_price - Draw_down*atr_length) ,comment="Drawdown exit B") RSI_short := false RSI_long := false bar_count_long := 0 bar_count_short := 0 cci_buy := false cci_sell := false //>>>>to add sl hit sign if strategy.position_size != 0 and sl_hit_flag //For symbols on chart sl_cross := true //>>>>>cancel all pending orders if the trade is booked strategy.cancel_all(strategy.position_size == 0 and not (long_entry or short_entry)) //>>>>plot indicators p_mBB = plot(plotBB ? mBB0 : na, color=color.teal) p_uBB = plot(plotBB ? uBB0 : na, color=color.teal, style=plot.style_stepline) p_lBB = plot(plotBB ? lBB0 : na, color=color.teal, style=plot.style_stepline) plot(sma(close,5), color=color.blue, title="MA") //>>>>plot signals plotshape(plotSignals and RSI_short, style=shape.triangledown, location=location.abovebar, color=color.red) plotshape(plotSignals and RSI_long, style=shape.triangleup, location=location.belowbar, color=color.green) plotshape(sl_cross, text= "Stoploss Hit",size= size.normal,style=shape.xcross , location=location.belowbar, color=color.red) //>>>>plot signal high low if strategy.position_size != 0 candles_on_trade := candles_on_trade + 1 if strategy.position_size != 0 and candles_on_trade == 1 line.new(x1=bar_index[1], y1=high[1], x2=bar_index[0], y2=high[1], color=color.black, width=2) line.new(x1=bar_index[1], y1=low[1], x2=bar_index[0], y2=low[1], color=color.black, width=2) //>>>>end of program