Estrategia de trading con cruce de doble SMA


Fecha de creación: 2023-11-21 12:26:53 Última modificación: 2023-11-21 12:26:53
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Estrategia de trading con cruce de doble SMA

Descripción general

Esta estrategia se basa en señales de entrada y salida cruzadas de dos líneas medias de SMA. En concreto, el SMA corto es de 14 ciclos y el SMA largo es de 28 ciclos.

Principio de estrategia

  1. Parámetros de entrada

    • Ajuste de la línea media: ajuste de la longitud de ciclo de la línea rápida y lenta
    • Detención de pérdidas: configuración de la proporción de paradas y pérdidas
    • Gestión de fondos: establecer el capital inicial, el modelo de cuotas de pago, las tasas de pago, etc.
  2. Las variables

Se definen algunas variables intermedias para guardar el precio de parada, el precio de parada, el número de posiciones, etc. Esto evita el cálculo repetido.

  1. El juicio de la señal

Se pueden ver las señales de sobrevaloración y de baja valoración a través de la intersección de las SMA.

  1. Reglas de ingreso

Cuando se juzgue la señal de entrada, primero se elimina la posición inversa anterior y luego se realiza una orden de acuerdo con la lógica de la estrategia.

  1. Reglas de juego

Las reglas de suspensión y suspensión de pérdidas se establecen.

  1. Administración de fondos

El uso de la cantidad de posiciones para controlar el riesgo de las posiciones.

Las ventajas

  1. Es fácil de usar y fácil de entender.

  2. El retiro es controlado.

  3. Parámetros fáciles de optimizar

Riesgos y soluciones

  1. La señal de cruce de dos líneas está retrasada

Se puede reducir el ciclo de la mediana, o combinarlo con otros indicadores.

  1. El riesgo de deterioro por el sismo es alto

Se puede ampliar el ancho de parada, o usar una curva de parada

  1. Los parámetros incorrectos pueden aumentar la pérdida

Los parámetros de optimización deben ser evaluados

Optimización de las ideas

  1. En combinación con otros indicadores

Como por ejemplo MACD, KD, etc., para evitar el retraso de la señal de línea media

  1. Parámetros de la media optimizada

Prueba combinaciones de más parámetros de ciclo

  1. Pruebas de estrategias para detener la pérdida

Estrategias de prueba de paradas fijas y paradas móviles

Resumir

La idea general de esta estrategia es clara y fácil de entender, los resultados de la retroalimentación son buenos, el funcionamiento es relativamente simple y es adecuado para el uso de los traders novatos. Sin embargo, todavía hay espacio para la optimización, se recomienda combinar más indicadores de juicio y estrategias de administración de fondos, lo que hará que la estrategia sea más sólida.

Código Fuente de la Estrategia
/*backtest
start: 2023-10-21 00:00:00
end: 2023-11-20 00:00:00
period: 4h
basePeriod: 15m
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/
// © BigJasTrades https://linktr.ee/bigjastrades 

// READ THIS BEFORE USE:
// This code is provided as an example strategy for educational purposes only.  It comes with NO warranty or claims of performance.
// It should be used as a basis for your own learning and development and to create your own strategies.
// It is NOT provided to enable you to profitably trade. 
// If you use this code or any part of it you agree that you have thoroughly tested it and determined that it is suitable for your own purposes prior to use.
// If you use this code or any part of it you agree that you accept all risk and you are responsibile for the results.

//@version=5
strategy(title = "Strategy Template", shorttitle = "ST v1.0", overlay = true, pyramiding = 1, initial_capital = 1000, commission_type = strategy.commission.percent, commission_value = 0.1, max_labels_count = 500)

//INPUTS
//indicator values
shortSMAlength              = input.int(defval = 14, title = "Short SMA Length", tooltip = "Set the length of the short simple moving average here.", minval = 1, step = 1, group = "Indicator Settings")
longSMAlength               = input.int(defval = 28, title = "Long SMA Length", tooltip = "Set the length of the long simple moving average here.", minval = 1, step = 1, group = "Indicator Settings")
//compounding
compoundingSelected         = input.bool(defval = true, title = "Compounding", tooltip = "Select this option if you want to compound your net profits.", group = "Compounding")
//take profit and stop loss
takeProfitSelected          = input.bool(defval = true, title = "Use Take Profit", tooltip = "Select this to enable take profits.", group = "Take Profit and Stop Loss")
takeProfitPercent           = input.float(defval = 1.0, title = "Take Profit %", tooltip = "Set the value of take profits here.", minval = 0.1, step = 0.1, group = "Take Profit and Stop Loss")
stopLossSelected            = input.bool(defval = true, title = "Use Stop Loss", tooltip = "Select this to enable stop losses.", group = "Take Profit and Stop Loss")
stopLossPercent             = input.float(defval = 1.0, title = "Take Profit %", tooltip = "Set the value of stop losses here.", minval = 0.1, step = 0.1, group = "Take Profit and Stop Loss")
//trading window
startDate                   = input(defval = timestamp("1 Jan 2023 00:00:00"), title = "Start Date", tooltip = "Use this to set the date and time when Viva will start placing trades.  Set this to a time just after the last candle when activating auto trading.", group = "TRADING WINDOW")
endDate                     = input(defval = timestamp("1 Jan 2030 00:00:00"), title = "End Date", tooltip = "Use this to set the date and time when Viva will stop placing trades.", group = "TRADING WINDOW")

//VARIABLES
var float tradingCapital    = na //trading capital is used to calculate position size based on the intitial capital and, if compounding is selected, also the net profit
var float positionSize      = na //position size is used to set the quantity of the asset you want to buy.  It is based on the initial capital and the net profit if compounding is selected.
var float takeProfitPrice   = na //this is used for take profit targets if selected
var float stopLossPrice     = na //this is used for stop loss if selected

inTradeWindow               = true
strategy.initial_capital = 50000
//COMPOUNDING
if compoundingSelected // set the tradingCapital available to the strategy based on wither Compounding has been selected or not.  This will be used to determine the position size.
    tradingCapital := strategy.initial_capital + strategy.netprofit
else
    tradingCapital := strategy.initial_capital

//ENTRY CONDITIONS
//replace these with your own conditions
longCondition = ta.crossover(source1 = ta.sma(source = close, length = shortSMAlength), source2 =  ta.sma(source = close, length =longSMAlength))
shortCondition = ta.crossunder(source1 = ta.sma(source = close, length = shortSMAlength), source2 = ta.sma(source = close, length = longSMAlength))

//EXIT CONDITIONS
//Exit conditions are based on stop loss, take profit and the opposite entry condition being present.  Stop Loss and Take Profit are contained in the strategy.exit code below and are based on the value assigned in the Inputs.


//ENTRY ORDERS
//Enter Long
if longCondition and inTradeWindow
    //close any prior short positions
    if strategy.position_size < 0 //if in a short position
        strategy.close_all(comment = "Buy to Close")
    //set position size
    positionSize := tradingCapital / close
    //enter long position
    strategy.entry(id = "Buy to Open", direction =  strategy.long, qty = positionSize)

//Enter Short
if shortCondition and inTradeWindow
    //close any prior long positions
    if strategy.position_size > 0 //if in a long position
        strategy.close_all(comment = "Sell to Close")
    //set position size
    positionSize := tradingCapital / close
    //enter short position
    strategy.entry(id = "Sell to Open", direction =  strategy.short, qty = positionSize)

//IN-ORDER MANAGEMENT
//placeholder - none used in this template


//EXIT ORDERS
//Stop Loss and Take Profit for Long Positions
if strategy.opentrades > 0 and strategy.position_size > 0 and (takeProfitSelected or stopLossSelected)   //if there is an open position and it is a long position and either a take profit or sto ploss is selected.
    if takeProfitSelected
        takeProfitPrice := strategy.position_avg_price * (1 + (takeProfitPercent / 100))
    else
        takeProfitPrice := na
    if stopLossSelected
        stopLossPrice := strategy.position_avg_price * (1 - (stopLossPercent / 100))
    else
        stopLossPrice := na
    strategy.exit(id = "Exit", from_entry = "Buy to Open", qty_percent = 100, profit = takeProfitPrice, loss = stopLossPrice, comment_profit = "Take Profit", comment_loss = "Stop Loss")

//Stop Loss and Take Profit for Short Positions
if strategy.opentrades > 0 and strategy.position_size < 0 and (takeProfitSelected or stopLossSelected)   //if there is an open position and it is a short position and either a take profit or sto ploss is selected.
    if takeProfitSelected
        takeProfitPrice := strategy.position_avg_price * (1 - (takeProfitPercent / 100))
    else
        takeProfitPrice := na
    if stopLossSelected
        stopLossPrice := strategy.position_avg_price * (1 + (stopLossPercent / 100))
    else
        stopLossPrice := na
    strategy.exit(id = "Exit", from_entry = "Buy to Open", qty_percent = 100, profit = takeProfitPrice, loss = stopLossPrice, comment_profit = "Take Profit", comment_loss = "Stop Loss")


//VISUALISATIONS
plot(series = ta.sma(source = close, length = shortSMAlength), title = "Short SMA", color = color.new(color = color.red, transp = 50), linewidth = 2)
plot(series = ta.sma(source = close, length = longSMAlength), title = "Long SMA", color = color.new(color = color.blue, transp = 50), linewidth = 2)

bgcolor(color = longCondition ? color.new(color = color.green, transp = 95) : na, title = "Long")
bgcolor(color = shortCondition ? color.new(color = color.red, transp = 95) : na, title = "Short")