Esta estratégia usa o indicador RSI para identificar condições de sobrecompra e sobrevenda, e entra em negócios combinando vários fatores auxiliares, como MACD, indicadores estocásticos, etc. O objetivo desta estratégia é capturar oportunidades de reversão de curto prazo.
A lógica central desta estratégia depende principalmente do indicador RSI para determinar se o mercado está em um estado de sobrecompra ou sobrevenda. Quando o indicador RSI excede o limite de sobrecompra definido, é um sinal de que o mercado pode estar sobrecomprado. A estratégia escolherá curto neste momento. Quando o RSI cai abaixo do limite de sobrevenda, indica que o mercado pode estar sobrevendido. A estratégia vai longo em tais casos. Ao capturar as oportunidades de negociação de curto prazo durante a transição de uma condição extrema para outra, a estratégia espera lucrar.
Além disso, a estratégia também incorpora múltiplos fatores auxiliares, como MACD, indicadores estocásticos. O papel desses fatores auxiliares é filtrar alguns sinais de negociação potencialmente falsos positivos. Somente quando o indicador RSI desencadeia um sinal, e os fatores auxiliares também endossam esse sinal, a estratégia tomará ações comerciais reais. Tais colaborações entre múltiplos fatores podem melhorar a confiabilidade dos sinais de negociação gerados pela estratégia, aumentando assim sua estabilidade.
A maior vantagem desta estratégia é a sua elevada eficiência de captura, realizada através de um mecanismo de confirmação multifator para melhorar a qualidade do sinal.
Ainda existem alguns riscos associados a esta estratégia, que se concentram principalmente em dois aspectos:
Os seguintes aspetos devem ser otimizados para esta estratégia no futuro:
Em conclusão, esta é uma estratégia de reversão média de curto prazo. Ao alavancar as capacidades do RSI de medir condições de sobrecompra / sobrevenda e combinar várias ferramentas auxiliares para confirmação de múltiplos fatores, a qualidade do sinal é melhorada. A estratégia tem alta eficiência de captura e boa estabilidade.
/*backtest start: 2022-12-05 00:00:00 end: 2023-03-24 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/ //@version=4 strategy(shorttitle='Ain1',title='All in One Strategy', overlay=true, initial_capital = 1000, process_orders_on_close=true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type=strategy.commission.percent, commission_value=0.18, calc_on_every_tick=true) kcolor = #0094FF dcolor = #FF6A00 // ----------------- Strategy Inputs ------------------------------------------------------------- //Backtest dates with auto finish date of today start = input(defval = timestamp("01 April 2021 00:00 -0500"), title = "Start Time", type = input.time) finish = input(defval = timestamp("31 December 2021 00:00 -0600"), title = "Start Time", type = input.time) window() => true // Strategy Selection - Long, Short, or Both strat = input(title="Strategy", defval="Long/Short", options=["Long Only", "Long/Short", "Short Only"]) strat_val = strat == "Long Only" ? 1 : strat == "Long/Short" ? 0 : -1 // Risk Management Inputs sl= input(10.0, "Stop Loss %", minval = 0, maxval = 100, step = 0.01) stoploss = sl/100 tp = input(20.0, "Target Profit %", minval = 0, maxval = 100, step = 0.01) TargetProfit = tp/100 // RSI and Stochastic Inputs length = input(14, "RSI Length", minval=1) ob_min = input(52, "Overbought Lookback Minimum Value", minval=0, maxval=200) ob_lb = input(25, "Overbought Lookback Bars", minval=0, maxval=100) os_min = input(50, "Oversold Lookback Minimum Value", minval=0, maxval=200) os_lb = input(35, "Oversold Lookback Bars", minval=0, maxval=100) source = input(title="Source", type=input.source, defval=close) RSI = rsi(source, length) // Define f_print function to show key recommendations for RSI // f_print(_text) => // // Create label on the first bar. // var _label = label(na), // label.delete(_label), // _label := label.new( // time + (time-time[1]), // ohlc4, // _text, // xloc.bar_time, // yloc.price, // color(na), // label.style_none, // color.gray, // size.large, // text.align_left // ) // Display highest and lowest RSI values AvgHigh(src,cnt,val) => total = 0.0 count = 0 for i = 0 to cnt if src[i] > val count := count + 1 total := total + src[i] round(total / count) RSI_high = AvgHigh(RSI, ob_lb, ob_min) AvgLow(src,cnt,val) => total = 0.0 count = 0 for i = 5 to cnt by 5 if src[i] < val count := count + 1 total := total + src[i] round(total / count) RSI_low = AvgLow(RSI, os_lb, os_min) // f_print("Recommended RSI Settings:" + "\nOverbought = " + tostring(RSI_high) + "\nOversold = " + tostring(RSI_low)) overbought= input(62, "Overbought") oversold= input(35, "Oversold") // Price Movement Inputs look_back = input(9,"Look Back Bars") high_source = input(high,"High Source") low_source= input(low,"Low Source") HTF = input("","Curernt or Higher time frame only", type=input.resolution) // EMA and SMA Background Inputs smoothK = input(3, "K", minval=1) smoothD = input(3, "D", minval=1) k_mode = input("SMA", "K Mode", options=["SMA", "EMA", "WMA"]) // MACD Inputs fastLength = input(5, minval=1, title="EMA Fast Length") slowLength = input(10, minval=1, title="EMA Slow Length") // Selections to show or hide the overlays showZones = input(true, title="Show Bullish/Bearish Zones") showStoch = input(true, title="Show Stochastic Overlays") showRSIBS = input(true, title="Show RSI Buy Sell Zones") showMACD = input(true, title="Show MACD") color_bars=input(true, "Color Bars") useXRSI = input(false, "Use RSI crossing back, select only one") useMACD = input(false, "Use MACD Only, select only one") useCRSI = input(false, "Use Tweaked Connors RSI, select only one") // ------------------ Background Colors based on EMA Indicators ----------------------------------- // Uses standard lengths of 9 and 21, if you want control delete the constant definition and uncomment the inputs haClose(gap) => (open[gap] + high[gap] + low[gap] + close[gap]) / 4 rsi_ema = rsi(haClose(0), length) v2 = ema(rsi_ema, length) v3 = 2 * v2 - ema(v2, length) emaA = ema(rsi_ema, fastLength) emaFast = 2 * emaA - ema(emaA, fastLength) emaB = ema(rsi_ema, slowLength) emaSlow = 2 * emaB - ema(emaB, slowLength) // bullish signal rule: bullishRule =emaFast > emaSlow // bearish signal rule: bearishRule =emaFast < emaSlow // current trading State ruleState = 0 ruleState := bullishRule ? 1 : bearishRule ? -1 : nz(ruleState[1]) bgcolor(showZones ? ( ruleState==1 ? color.blue : ruleState==-1 ? color.red : color.gray ) : na , title=" Bullish/Bearish Zones", transp=95) // ------------------ Stochastic Indicator Overlay ----------------------------------------------- // Calculation // Use highest highs and lowest lows h_high = highest(high_source ,look_back) l_low = lowest(low_source ,look_back) stoch = stoch(RSI, RSI, RSI, length) k = k_mode=="EMA" ? ema(stoch, smoothK) : k_mode=="WMA" ? wma(stoch, smoothK) : sma(stoch, smoothK) d = sma(k, smoothD) k_c = change(k) d_c = change(d) kd = k - d // Plot signalColor = k>oversold and d<overbought and k>d and k_c>0 and d_c>0 ? kcolor : k<overbought and d>oversold and k<d and k_c<0 and d_c<0 ? dcolor : na kp = plot(showStoch ? k : na, "K", transp=80, color=kcolor) dp = plot(showStoch ? d : na, "D", transp=80, color=dcolor) fill(kp, dp, color = signalColor, title="K-D", transp=88) signalUp = showStoch ? not na(signalColor) and kd>0 : na signalDown = showStoch ? not na(signalColor) and kd<0 : na plot(signalUp ? kd : na, "Signal Up", color=kcolor, transp=90, style=plot.style_columns) plot(signalDown ? (kd+100) : na , "Signal Down", color=dcolor, transp=90, style=plot.style_columns, histbase=100) // -------------- Add Price Movement to Strategy for better visualization ------------------------- // Calculations h1 = vwma(high, length) l1 = vwma(low, length) hp = h_high[1] lp = l_low[1] // Plot var plot_color=#353535 var sig = 0 if (h1 >hp) sig:=1 plot_color:=color.lime else if (l1 <lp) sig:=-1 plot_color:=color.maroon plot(1,title = "Price Movement Bars", style=plot.style_columns,color=plot_color) plot(sig,title="Signal 1 or -1",display=display.none) // --------------------------------------- RSI Plot ---------------------------------------------- // Plot Oversold and Overbought Lines over = hline(oversold, title="Oversold", color=color.green) under = hline(overbought, title="Overbought", color=color.red) fill(over, under, color=#9915FF, transp=90, title="Band Background") // Show RSI and EMA crosses with arrows and RSI Color (tweaked Connors RSI) // Improves strategy setting ease by showing where EMA 5 crosses EMA 10 from above to confirm overbought conditions or trend reversals // This shows where you should enter shorts or exit longs // Tweaked Connors RSI Calculation connor_ob = 80 connor_os = 20 ma3 = sma(close,3) ma20 = sma(close, 20) ma50 = sma(close, 50) erection = ((((close[1]-close[2])/close[2]) + ((close[0]-close[1])/close[1]))/2)*100 // Buy Sell Zones using tweaked Connors RSI (RSI values of 80 and 20 for Crypto as well as ma3, ma20, and ma50 are the tweaks) RSI_SELL = ma20 > ma50 and open > ma3 and RSI >= connor_ob and erection <=4 and window() RSI_BUY = ma20 < ma50 and ma3 > close and RSI <= connor_os and window() // Color Definition col = useCRSI ? (close > ma20 and close < ma3 and RSI <= connor_os ? color.lime : close < ma20 and close > ma3 and RSI <= connor_ob ? color.red : color.yellow ) : color.yellow // Plot colored RSI Line plot(RSI, title="RSI", linewidth=3, color=col) // Shape Plots plotshape(showRSIBS ? RSI_BUY: na, title = "RSI Buy", style = shape.arrowup, text = "RSI Buy", location = location.bottom, color=color.green, textcolor=color.green, size=size.small) plotshape(showRSIBS ? RSI_SELL: na, title = "RSI Sell", style = shape.arrowup, text = "RSI Sell", location = location.bottom, color=color.red, textcolor=color.red, size=size.small) // MACD as another complement to RSI strategy [macdLine, signalLine, _] = macd(close, fastLength, slowLength, length) bartrendcolor = macdLine > signalLine and k > 50 and RSI > 50 ? color.teal : macdLine < signalLine and k < 50 and RSI < 50 ? color.maroon : macdLine < signalLine ? color.yellow : color.gray barcolor(color = color_bars ? bartrendcolor : na) MACDBuy = crossover(macdLine, signalLine) and macdLine<0 and RSI<RSI_low and window() MACDSell = crossunder(macdLine, signalLine) and macdLine>0 and RSI>RSI_high and window() plotshape(showMACD ? MACDBuy: na, title = "MACD Buy", style = shape.arrowup, text = "MACD Buy", color=color.green, textcolor=color.green, size=size.small) plotshape(showMACD ? MACDSell: na, title = "MACD Sell", style = shape.arrowdown, text = "MACD Sell", color=color.red, textcolor=color.red, size=size.small) bgcolor(showMACD ? (MACDBuy ? color.teal : MACDSell ? color.maroon : na) : na, title ="MACD Signals", transp=50) // -------------------------------- Entry and Exit Logic ------------------------------------ // Entry Logic XRSI_OB = crossunder(RSI, overbought) and window() RSI_OB = crossover(RSI, overbought) and window() XRSI_OS = crossover(RSI, oversold) and window() RSI_OS = crossunder(RSI, oversold) and window() // Strategy Entry and Exit with built in Risk Management GoLong = strat_val > -1 ? (useXRSI ? XRSI_OS : useMACD ? MACDBuy : useCRSI ? RSI_BUY : RSI_OS) : false GoShort = strat_val < 1 ? (useXRSI ? XRSI_OB : useMACD ? MACDSell : useCRSI ? RSI_SELL : RSI_OB) : false convert_percent_to_points(percent) => strategy.position_size != 0 ? round(percent * strategy.position_avg_price / syminfo.mintick) : float(na) setup_percent(percent) => convert_percent_to_points(percent) if (GoLong) strategy.entry("LONG", strategy.long) strategy.exit(id="Exit Long", from_entry = "LONG", loss=setup_percent(stoploss), profit=setup_percent(TargetProfit)) CloseLong = strategy.position_size > 0 ? (useXRSI ? XRSI_OB : useMACD ? MACDSell : useCRSI ? RSI_SELL : RSI_OB) : false if(CloseLong) strategy.close("LONG") if (GoShort) strategy.entry("SHORT", strategy.short) strategy.exit(id="Exit Short", from_entry = "SHORT", loss=setup_percent(stoploss), profit=setup_percent(TargetProfit)) CloseShort = strat_val < 1 and strategy.position_size < 0 ? (useXRSI ? XRSI_OS : useMACD ? MACDBuy : useCRSI ? RSI_BUY : RSI_OS) : false if(CloseShort) strategy.close("SHORT")