Esta estrategia implementa un módulo de límite de tiempo basado en la estrategia original de media móvil dual para controlar la hora de inicio de la estrategia.
La estrategia genera señales comerciales utilizando MA rápidos y lentos. El MA rápido tiene un período de 14 días y el MA lento tiene un período de 21 días. Una señal de compra se genera cuando el MA rápido cruza por encima del MA lento. Una señal de venta se genera cuando el MA rápido cruza por debajo del MA lento.
La estrategia también incorpora una opción de inversión comercial para revertir la dirección comercial original.
El módulo de límite de tiempo compara el tiempo actual con el tiempo de inicio configurado utilizando sellos de tiempo, devolviendo verdadero o falso para controlar si la estrategia se inicia o no. El año de inicio, mes, día, hora y minuto deben configurarse. La estrategia solo se iniciará cuando el tiempo actual exceda el tiempo de inicio configurado.
La optimización de los períodos de MA puede reducir la frecuencia de negociación. La hora de inicio también debe establecerse racionalmente para evitar oportunidades perdidas. Finalmente, elija cuidadosamente si invertir las señales en función de las condiciones del mercado.
Esta estrategia genera señales de trading utilizando MAs duales y controla el tiempo de ejecución con el módulo de límite de tiempo, capturando efectivamente las tendencias evitando condiciones de mercado desfavorables.
/*backtest start: 2023-11-06 00:00:00 end: 2023-11-13 00:00:00 period: 45m basePeriod: 5m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=2 strategy(title = "Strategy Code Example", shorttitle = "Strategy Code Example", overlay = true) // Revision: 1 // Author: @JayRogers // // *** THIS IS JUST AN EXAMPLE OF STRATEGY TIME LIMITING *** // // This is a follow up to my previous strategy example for risk management, extended to include a time limiting factor. // === GENERAL INPUTS === // short ma maFastSource = input(defval = open, title = "Fast MA Source") maFastLength = input(defval = 14, title = "Fast MA Period", minval = 1) // long ma maSlowSource = input(defval = open, title = "Slow MA Source") maSlowLength = input(defval = 21, title = "Slow MA Period", minval = 1) // === STRATEGY RELATED INPUTS === tradeInvert = input(defval = false, title = "Invert Trade Direction?") // Risk management inpTakeProfit = input(defval = 1000, title = "Take Profit", minval = 0) inpStopLoss = input(defval = 200, title = "Stop Loss", minval = 0) inpTrailStop = input(defval = 200, title = "Trailing Stop Loss", minval = 0) inpTrailOffset = input(defval = 0, title = "Trailing Stop Loss Offset", minval = 0) // *** FOCUS OF EXAMPLE *** // Time limiting // a toggle for enabling/disabling useTimeLimit = input(defval = true, title = "Use Start Time Limiter?") // set up where we want to run from startYear = input(defval = 2016, title = "Start From Year", minval = 0, step = 1) startMonth = input(defval = 05, title = "Start From Month", minval = 0,step = 1) startDay = input(defval = 01, title = "Start From Day", minval = 0,step = 1) startHour = input(defval = 00, title = "Start From Hour", minval = 0,step = 1) startMinute = input(defval = 00, title = "Start From Minute", minval = 0,step = 1) // === RISK MANAGEMENT VALUE PREP === // if an input is less than 1, assuming not wanted so we assign 'na' value to disable it. useTakeProfit = inpTakeProfit >= 1 ? inpTakeProfit : na useStopLoss = inpStopLoss >= 1 ? inpStopLoss : na useTrailStop = inpTrailStop >= 1 ? inpTrailStop : na useTrailOffset = inpTrailOffset >= 1 ? inpTrailOffset : na // *** FOCUS OF EXAMPLE *** // === TIME LIMITER CHECKING FUNCTION === // using a multi line function to return true or false depending on our input selection // multi line function logic must be indented. startTimeOk() => // get our input time together inputTime = timestamp(syminfo.timezone, startYear, startMonth, startDay, startHour, startMinute) // check the current time is greater than the input time and assign true or false timeOk = time > inputTime ? true : false // last line is the return value, we want the strategy to execute if.. // ..we are using the limiter, and the time is ok -OR- we are not using the limiter r = (useTimeLimit and timeOk) or not useTimeLimit // === SERIES SETUP === /// a couple of ma's.. maFast = ema(maFastSource, maFastLength) maSlow = ema(maSlowSource, maSlowLength) // === PLOTTING === fast = plot(maFast, title = "Fast MA", color = green, linewidth = 2, style = line, transp = 50) slow = plot(maSlow, title = "Slow MA", color = red, linewidth = 2, style = line, transp = 50) // === LOGIC === // is fast ma above slow ma? aboveBelow = maFast >= maSlow ? true : false // are we inverting our trade direction? tradeDirection = tradeInvert ? aboveBelow ? false : true : aboveBelow ? true : false // *** FOCUS OF EXAMPLE *** // wrap our strategy execution in an if statement which calls the time checking function to validate entry // like the function logic, content to be included in the if statement must be indented. if( startTimeOk() ) // === STRATEGY - LONG POSITION EXECUTION === enterLong = not tradeDirection[1] and tradeDirection exitLong = tradeDirection[1] and not tradeDirection strategy.entry( id = "Long", long = true, when = enterLong ) strategy.close( id = "Long", when = exitLong ) // === STRATEGY - SHORT POSITION EXECUTION === enterShort = tradeDirection[1] and not tradeDirection exitShort = not tradeDirection[1] and tradeDirection strategy.entry( id = "Short", long = false, when = enterShort ) strategy.close( id = "Short", when = exitShort ) // === STRATEGY RISK MANAGEMENT EXECUTION === strategy.exit("Exit Long", from_entry = "Long", profit = useTakeProfit, loss = useStopLoss, trail_points = useTrailStop, trail_offset = useTrailOffset) strategy.exit("Exit Short", from_entry = "Short", profit = useTakeProfit, loss = useStopLoss, trail_points = useTrailStop, trail_offset = useTrailOffset)