Esta estrategia es un sistema de negociación basado en múltiples promedios móviles e indicadores de impulso. Utiliza principalmente las relaciones dinámicas entre los promedios móviles simples (SMA) de 20 días, 50 días, 150 días y 200 días, combinados con indicadores de volumen y RSI para capturar fuertes tendencias alcistas en el marco de tiempo diario y posiciones de salida cuando las tendencias se debilitan.
La lógica central incluye los siguientes componentes clave:
Las condiciones de compra requieren:
Las condiciones de venta incluyen:
Sugerencias para el control de riesgos:
Se trata de una estrategia de seguimiento de tendencias rigurosamente diseñada que captura de manera efectiva oportunidades de tendencias fuertes a través del uso coordinado de múltiples indicadores técnicos. Las principales ventajas de la estrategia se encuentran en su mecanismo de confirmación de señales integral y su estricto sistema de control de riesgos. Si bien hay cierto retraso, a través de una optimización razonable de parámetros y gestión de riesgos, la estrategia puede mantener un rendimiento estable en la operación a largo plazo. Se aconseja a los inversores que presten atención a la adaptabilidad del entorno del mercado, controlen las posiciones razonablemente y realicen optimizaciones específicas basadas en las condiciones reales al aplicar la estrategia en el comercio en vivo.
/*backtest start: 2019-12-23 08:00:00 end: 2024-11-11 00:00:00 period: 1d basePeriod: 1d exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("Micho's 150 (1D Time Frame Only)", overlay=true) // Define the length for the SMAs and RSI sma20Length = 20 sma50Length = 50 sma150Length = 150 sma200Length = 200 volumeMaLength = 20 rsiLength = 14 rsiSmaLength = 14 smaCheckLength = 40 // Check the last month of trading days (~20 days) requiredRisingDays = 25 // Require SMA to rise in at least 16 of the past 20 days sma150AboveSma200CheckDays = 1 // Require SMA150 > SMA200 for the last 10 days // Calculate the SMAs for price sma20 = ta.sma(close, sma20Length) sma50 = ta.sma(close, sma50Length) sma150 = ta.sma(close, sma150Length) sma200 = ta.sma(close, sma200Length) // Calculate the 20-period moving average of volume volumeMA20 = ta.sma(volume, volumeMaLength) // Calculate the 14-period RSI rsi = ta.rsi(close, rsiLength) // Calculate the 14-period SMA of RSI rsiSMA = ta.sma(rsi, rsiSmaLength) // Check if most of the last 5 days are buyer days (close > open) buyerDays = 0 for i = 0 to 9 if close[i] > open[i] buyerDays := buyerDays + 1 // Check if at least 1 day has volume higher than the 20-period volume MA highVolumeDays = 0 for i = 0 to 9 if close[i] > open[i] and volume[i] > volumeMA20 highVolumeDays := highVolumeDays + 1 // Define the new RSI condition rsiCondition = (rsi >= 55) or (rsiSMA > 50 and rsi > rsi[1]) // Check if the 50-day SMA has been rising on at least 16 of the last 20 trading days risingDays = 0 for i = 1 to smaCheckLength if sma50[i] > sma50[i + 1] risingDays := risingDays + 1 // Check if the SMA has risen on at least 16 of the last 20 days sma50Rising = risingDays >= requiredRisingDays // Check if the price has been above the SMA150 for the last 20 trading days priceAboveSma150 = true for i = 1 to smaCheckLength if close[i] < sma150[i] priceAboveSma150 := false // Check if the SMA150 has been above the SMA200 for the last 10 days sma150AboveSma200 = true for i = 1 to sma150AboveSma200CheckDays if sma150[i] < sma200[i] sma150AboveSma200 := false // Define the conditions for the 150-day and 200-day SMAs being rising sma150Rising = sma150 > sma150[1] sma200Rising = sma200 > sma200[1] // Check if most of the last 5 days are seller days (close < open) sellerDays = 0 for i = 0 to 9 if close[i] < open[i] sellerDays := sellerDays + 1 // Check if at least 1 day has seller volume higher than the 20-period volume MA highSellerVolumeDays = 0 for i = 0 to 9 if close[i] < open[i] and volume[i] > volumeMA20 highSellerVolumeDays := highSellerVolumeDays + 1 // Check in the last N days the price below 150 priceBelowSma150 = true for i = 0 to 0 if close[i] > sma150[i] priceBelowSma150 := false // Restrict the strategy to 1D time frame if timeframe.isdaily // Buy condition: // - Most of the last 5 days are buyer days (buyerDays > 2) // - At least 1 of those days has high buyer volume (highVolumeDays >= 1) // - RSI SMA (14-period) between 45 and 50 with RSI >= 55, or RSI SMA > 50 and RSI rising // - 50-day SMA > 150-day SMA and 150-day SMA > 200-day SMA // - 50-day SMA has been rising on at least 16 of the last 20 trading days // - The price hasn't been below the 150-day SMA in the last 20 days // - 150-day SMA has been above the 200-day SMA for the last 10 days // - 150-day and 200-day SMAs are rising buyCondition = (close > sma150 and buyerDays > 4 and highVolumeDays >= 1 and rsiCondition and sma50 > sma150 and sma50Rising and sma150Rising and sma200Rising and priceAboveSma150) // Sell condition: // - Price crossing below SMA 150 // - Seller volume (current volume > volume MA 20) // - 150-day SMA crosses below 200-day SMA // - Most of the last 5 days are seller days (sellerDays > 2) and at least 1 day of higher seller volume (highSellerVolumeDays >= 1) sellCondition = (priceBelowSma150 and (sma50 < sma150 or (sellerDays >5 and highSellerVolumeDays >= 5))) // Execute buy when all conditions are met if (buyCondition) strategy.entry("Buy", strategy.long) // Execute sell when all conditions are met if (sellCondition) strategy.close("Buy")