Esta estrategia combina el uso de indicadores duales EMA y RSI para identificar tendencias de precios y tomar posiciones oportunas cuando ocurren inversiones de tendencia.
Utilice una EMA de 200 períodos para determinar la dirección de la tendencia principal.
Parámetro del indicador RSI establecido en 10 períodos. RSI cruzando por encima de 40 señales sobreventa condición, mientras que cruzando por debajo de 60 señales sobrecompra condición.
Cuando la tendencia principal es al alza (precio por encima de la línea EMA) y se produce una señal de RSI que cruza por debajo de 40 sobreventa, vaya largo.
Cuando la tendencia principal es a la baja (el precio por debajo de la línea EMA) y se produce un cruce del RSI por encima de la señal de sobrecompra 60, vaya corto.
Toma el beneficio establecido en 2 veces el stop loss para una relación de riesgo-recompensación de 2:1.
La mayor ventaja de esta estrategia es la combinación de indicadores de tendencia e inversión, lo que permite entradas oportunas cuando se producen retrocesos dentro de las tendencias, por lo que se puede obtener un mejor rendimiento.
Utilizando el sistema EMA dual para determinar la dirección de la tendencia primaria para un seguimiento eficaz de la tendencia.
El indicador RSI identifica las condiciones de sobrecompra/sobreventa a corto plazo, lo que facilita el tiempo de entrada.
El valor de las pérdidas de detención establecidas a través del indicador ATR se adapta a la volatilidad del mercado para un mejor control del riesgo.
El estricto cumplimiento de los principios de negociación de tendencias reduce las operaciones innecesarias y el riesgo del sistema.
Los principales riesgos de esta estrategia incluyen:
Las señales comerciales falsas pueden ocurrir cuando la tendencia se debilita y los precios oscilan.
En las condiciones extremas de mercado, el stop loss establecido por el ATR puede ser demasiado amplio o demasiado ajustado, y deben considerarse ajustes dinámicos u otros mecanismos de stop loss.
Una frecuencia de señal potencialmente alta requiere que coincida con la preferencia personal de frecuencia de negociación.
La adecuación del parámetro RSI debe ser monitoreada para una optimización oportuna.
Las principales direcciones de optimización incluyen:
Prueba añadiendo otros indicadores de tendencia como el MACD para ayudar a juzgar la tendencia.
Prueba combinando RSI con otros indicadores de reversión como KDJ, Bandas de Bollinger para mejores señales.
Introducción de algoritmos de aprendizaje automático para ajustes dinámicos de parámetros y toma de pérdidas/ganancias adaptativas.
Incorporar más factores como sentimientos, noticias para una mayor robustez del sistema.
En general, esta es una estrategia de corto plazo muy típica que combina el seguimiento de tendencias e indicadores de reversión. Juzga la tendencia principal con EMA dual y captura oportunidades de retroceso dentro de las tendencias utilizando las características de reversión del RSI. En principio, esta estrategia combina las fortalezas de diferentes indicadores para muy buenos efectos complementarios.
/*backtest start: 2024-01-10 00:00:00 end: 2024-01-14 13:00:00 period: 5m basePeriod: 1m 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/ // © kevinmck100 // @description // This strategy is intended to be used as a base template for building new strategies. // // It incorporates the following features: // // - Risk management: Configurable X% loss per stop loss // Configurable R:R ratio // // - Trade entry: Calculated position size based on risk tolerance // // - Trade exit: Stop Loss currently configurable ATR multiplier but can be replaced based on strategy // Take Profit calculated from Stop Loss using R:R ratio // // - Backtesting: Configurable backtesting range by date // // - Trade drawings: TP/SL boxes drawn for all trades. Can be turned on and off // Trade exit information labels. Can be turned on and off // NOTE: Trade drawings will only be applicable when using overlay strategies // // - Debugging: Includes section with useful debugging techniques // // Strategy conditions: // // - Trade entry: LONG: C1: Price is above EMA line // C2: RSI is crossing out of oversold area // SHORT: C1: Price is below EMA line // C2: RSI is crossing out of overbought area // // - Trade exit: Stop Loss: Stop Loss ATR multiplier is hit // Take Profit: R:R multiplier * Stop Loss is hit // // The idea is to use RSI to catch pullbacks within the main trend. Note that // this strategy is intended to be a simple base strategy for building upon. // It was not designed to be traded in its current form. //@version=5 INITIAL_CAPITAL = 1000 DEFAULT_COMMISSION = 0.02 MAX_DRAWINGS = 500 IS_OVERLAY = true strategy("Risk Management Strategy Template", "Strategy Template", overlay = IS_OVERLAY, initial_capital = INITIAL_CAPITAL, currency = currency.NONE, max_labels_count = MAX_DRAWINGS, max_boxes_count = MAX_DRAWINGS, max_lines_count = MAX_DRAWINGS, default_qty_type = strategy.cash, commission_type = strategy.commission.percent, commission_value = DEFAULT_COMMISSION) // ============================================================================= // INPUTS // ============================================================================= // ------------------------ Replacable section - Start ------------------------- // ------------------ // Indicator Settings // ------------------ emaLength = input.int (200, "EMA Length ", group = "Indicators: Settings", inline = "IS1", minval = 1, tooltip = "EMA line to identify trend direction. Above EMA trend line is bullish. Below EMA trend line is bearish") rsiLength = input.int (10, "RSI Length ", group = "Indicators: Settings", inline = "IS2", minval = 1) // ---------------------- // Trade Entry Conditions // ---------------------- rsiOverbought = input.int (60, "RSI Overbought ", group = "Strategy: Conditions", inline = "SC1", minval = 50, maxval = 100, tooltip = "RSI overbought level used to identify pullbacks within the main trend. RSI crossing BELOW this level triggers a SHORT when in a DOWN trend") rsiOversold = input.int (40, "RSI Oversold ", group = "Strategy: Conditions", inline = "SC2", minval = 0, maxval = 50, tooltip = "RSI overbought level used to identify pullbacks within the main trend. RSI crossing ABOVE this level triggers a LONG when in an UP trend") // --------------------- // Trade Exit Conditions // --------------------- atrLength = input.int (14, "Stop Loss ATR Length ", group = "Strategy: Exit Conditions", inline = "EC1", minval = 0, tooltip = "Length of ATR used to calculate Stop Loss.") slAtrMultiplier = input.float(4, "Stop Loss ATR Multiplier ", group = "Strategy: Exit Conditions", inline = "EC2", minval = 0, step = 0.1, tooltip = "Size of StopLoss is determined by multiplication of ATR value. Take Profit is derived from this also by multiplying the StopLoss value by the Risk:Reward multiplier.") // ------------------------- Replacable section - End -------------------------- // --------------- // Risk Management // --------------- riskReward = input.float(2, "Risk : Reward 1 :", group = "Strategy: Risk Management", inline = "RM1", minval = 0, step = 0.1, tooltip = "Previous high or low (long/short dependant) is used to determine TP level. 'Risk : Reward' ratio is then used to calculate SL based of previous high/low level.\n\nIn short, the higher the R:R ratio, the smaller the SL since TP target is fixed by previous high/low price data.") accountRiskPercent = input.float(1, "Portfolio Risk % ", group = "Strategy: Risk Management", inline = "RM1", minval = 0, step = 0.1, tooltip = "Percentage of portfolio you lose if trade hits SL.\n\nYou then stand to gain\n Portfolio Risk % * Risk : Reward\nif trade hits TP.") // ---------- // Date Range // ---------- startYear = input.int (2022, "Start Date ", group = 'Strategy: Date Range', inline = 'DR1', minval = 1900, maxval = 2100) startMonth = input.int (1, "", group = 'Strategy: Date Range', inline = 'DR1', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) startDate = input.int (1, "", group = 'Strategy: Date Range', inline = 'DR1', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) endYear = input.int (2100, "End Date ", group = 'Strategy: Date Range', inline = 'DR2', minval = 1900, maxval = 2100) endMonth = input.int (1, "", group = 'Strategy: Date Range', inline = 'DR2', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) endDate = input.int (1, "", group = 'Strategy: Date Range', inline = 'DR2', options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) // ---------------- // Drawing Settings // ---------------- showTpSlBoxes = input.bool(false, "Show TP / SL Boxes", group = "Strategy: Drawings", inline = "D1", tooltip = "Show or hide TP and SL position boxes.\n\nNote: TradingView limits the maximum number of boxes that can be displayed to 500 so they may not appear for all price data under test.") showLabels = input.bool(false, "Show Trade Exit Labels", group = "Strategy: Drawings", inline = "D2", tooltip = "Useful labels to identify Profit/Loss and cumulative portfolio capital after each trade closes.\n\nAlso note that TradingView limits the max number of 'boxes' that can be displayed on a chart (max 500). This means when you lookback far enough on the chart you will not see the TP/SL boxes. However you can check this option to identify where trades exited.") // ============================================================================= // INDICATORS // ============================================================================= // ------------------------ Replacable section - Start ------------------------- // --- // EMA // --- ema = ta.ema(close, emaLength) plot(ema, "EMA Trend Line", color.white) // --- // RSI // --- rsi = ta.rsi(close, rsiLength) // ------------------------- Replacable section - End -------------------------- // ============================================================================= // STRATEGY LOGIC // ============================================================================= // --------- // FUNCTIONS // --------- percentAsPoints(pcnt) => math.round(pcnt / 100 * close / syminfo.mintick) calcStopLossPrice(pointsOffset, isLong) => priceOffset = pointsOffset * syminfo.mintick if isLong close - priceOffset else close + priceOffset calcProfitTrgtPrice(pointsOffset, isLong) => calcStopLossPrice(-pointsOffset, isLong) printLabel(barIndex, msg) => label.new(barIndex, close, msg) printTpSlHitBox(left, right, slHit, tpHit, entryPrice, slPrice, tpPrice) => if showTpSlBoxes box.new (left = left, top = entryPrice, right = right, bottom = slPrice, bgcolor = slHit ? color.new(color.red, 60) : color.new(color.gray, 90), border_width = 0) box.new (left = left, top = entryPrice, right = right, bottom = tpPrice, bgcolor = tpHit ? color.new(color.green, 60) : color.new(color.gray, 90), border_width = 0) line.new(x1 = left, y1 = entryPrice, x2 = right, y2 = entryPrice, color = color.new(color.yellow, 20)) line.new(x1 = left, y1 = slPrice, x2 = right, y2 = slPrice, color = color.new(color.red, 20)) line.new(x1 = left, y1 = tpPrice, x2 = right, y2 = tpPrice, color = color.new(color.green, 20)) printTpSlNotHitBox(left, right, entryPrice, slPrice, tpPrice) => if showTpSlBoxes box.new (left = left, top = entryPrice, right = right, bottom = slPrice, bgcolor = color.new(color.gray, 90), border_width = 0) box.new (left = left, top = entryPrice, right = right, bottom = tpPrice, bgcolor = color.new(color.gray, 90), border_width = 0) line.new(x1 = left, y1 = entryPrice, x2 = right, y2 = entryPrice, color = color.new(color.yellow, 20)) line.new(x1 = left, y1 = slPrice, x2 = right, y2 = slPrice, color = color.new(color.red, 20)) line.new(x1 = left, y1 = tpPrice, x2 = right, y2 = tpPrice, color = color.new(color.green, 20)) printTradeExitLabel(x, y, posSize, entryPrice, pnl) => if showLabels labelStr = "Position Size: " + str.tostring(math.abs(posSize), "#.##") + "\nPNL: " + str.tostring(pnl, "#.##") + "\nCapital: " + str.tostring(strategy.equity, "#.##") + "\nEntry Price: " + str.tostring(entryPrice, "#.##") label.new(x = x, y = y, text = labelStr, color = pnl > 0 ? color.new(color.green, 60) : color.new(color.red, 60), textcolor = color.white, style = label.style_label_down) // ---------- // CONDITIONS // ---------- inDateRange = time >= timestamp(syminfo.timezone, startYear, startMonth, startDate, 0, 0) and time < timestamp(syminfo.timezone, endYear, endMonth, endDate, 0, 0) // ------------------------ Replacable section - Start ------------------------- // Condition 1: Price above EMA indicates bullish trend, price below EMA indicates bearish trend bullEma = close > ema bearEma = close < ema // Condition 2: RSI crossing back from overbought/oversold indicates pullback within trend bullRsi = ta.crossover (rsi, rsiOversold) bearRsi = ta.crossunder (rsi, rsiOverbought) // Combine all entry conditions goLong = inDateRange and bullEma and bullRsi goShort = inDateRange and bearEma and bearRsi // ------------------------- Replacable section - End -------------------------- // Trade entry and exit variables var tradeEntryBar = bar_index var profitPoints = 0. var lossPoints = 0. var slPrice = 0. var tpPrice = 0. var inLong = false var inShort = false // Entry decisions openLong = (goLong and not inLong) openShort = (goShort and not inShort) flippingSides = (goLong and inShort) or (goShort and inLong) enteringTrade = openLong or openShort inTrade = inLong or inShort // ------------------------ Replacable section - Start ------------------------- // Exit calculations atr = ta.atr(atrLength) slAmount = atr * slAtrMultiplier slPercent = math.abs((1 - (close - slAmount) / close) * 100) tpPercent = slPercent * riskReward // ------------------------- Replacable section - End -------------------------- // Risk calculations riskAmt = strategy.equity * accountRiskPercent / 100 entryQty = math.abs(riskAmt / slPercent * 100) / close if openLong if strategy.position_size < 0 printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice) printTradeExitLabel(bar_index + 1, math.max(tpPrice, slPrice), strategy.position_size, strategy.position_avg_price, strategy.openprofit) strategy.entry("Long", strategy.long, qty = entryQty, alert_message = "Long Entry") enteringTrade := true inLong := true inShort := false if openShort if strategy.position_size > 0 printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice) printTradeExitLabel(bar_index + 1, math.max(tpPrice, slPrice), strategy.position_size, strategy.position_avg_price, strategy.openprofit) strategy.entry("Short", strategy.short, qty = entryQty, alert_message = "Short Entry") enteringTrade := true inShort := true inLong := false if enteringTrade profitPoints := percentAsPoints(tpPercent) lossPoints := percentAsPoints(slPercent) slPrice := calcStopLossPrice(lossPoints, openLong) tpPrice := calcProfitTrgtPrice(profitPoints, openLong) tradeEntryBar := bar_index strategy.exit("TP/SL", profit = profitPoints, loss = lossPoints, comment_profit = "TP Hit", comment_loss = "SL Hit", alert_profit = "TP Hit Alert", alert_loss = "SL Hit Alert") // ============================================================================= // DRAWINGS // ============================================================================= // ----------- // TP/SL Boxes // ----------- slHit = (inShort and high >= slPrice) or (inLong and low <= slPrice) tpHit = (inLong and high >= tpPrice) or (inShort and low <= tpPrice) exitTriggered = slHit or tpHit entryPrice = strategy.closedtrades.entry_price (strategy.closedtrades - 1) pnl = strategy.closedtrades.profit (strategy.closedtrades - 1) posSize = strategy.closedtrades.size (strategy.closedtrades - 1) // Print boxes for trades closed at profit or loss if (inTrade and exitTriggered) inShort := false inLong := false printTpSlHitBox(tradeEntryBar + 1, bar_index, slHit, tpHit, entryPrice, slPrice, tpPrice) printTradeExitLabel(bar_index, math.max(tpPrice, slPrice), posSize, entryPrice, pnl) // Print TP/SL box for current open trade if barstate.islastconfirmedhistory and strategy.position_size != 0 printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice) // ============================================================================= // DEBUGGING // ============================================================================= // Data window plots plotchar(slPrice, "Stop Loss Price", "") plotchar(tpPrice, "Take Profit Price", "") // Label plots plotDebugLabels = false if plotDebugLabels if bar_index == tradeEntryBar printLabel(bar_index, "Position size: " + str.tostring(entryQty * close, "#.##"))