Doppelte SMA-Crossover-Handelsstrategie


Erstellungsdatum: 2023-11-21 12:26:53 zuletzt geändert: 2023-11-21 12:26:53
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Doppelte SMA-Crossover-Handelsstrategie

Überblick

Diese Strategie basiert auf den Kreuzungen von Ein- und Ausstiegssignalen der doppelten SMA-Gewinnlinien. Konkret handelt es sich um einen kurzfristigen SMA mit 14 Zyklen und einen langfristigen SMA mit 28 Zyklen.

Strategieprinzip

  1. Eingabeparameter

    • Mittellinien-Einstellungen: Zeitspanne für Schnell- und Langspiel-Einstellungen
    • Stop Loss: Setzen Sie die Stop-Loss- und Stop-Loss-Ratio
    • Vermögensverwaltung: Einrichtung des Anfangskapitals, des Vergütungsmodells, der Vergütungsrate usw.
  2. Variable

Einige Zwischenvariablen wurden definiert, um den Stop-Loss-Preis, den Stop-Loss-Preis, die Anzahl der Positionen usw. zu speichern.

  1. Signalentscheidung

Die Über- und Unterblindungssignale werden anhand der Kreuzung der SMA ermittelt.

  1. Eintrittsregeln

Wenn der Einstiegssignal beurteilt wird, wird der vorherige Rückwärts-Position ausgeglichen und der Strategie-Logik folgend ein Auftrag erteilt.

  1. Spielregeln

Es gibt ein Stop-Loss-Reglement.

  1. Vermögensverwaltung

Die Anzahl der Positionen wird als Instrument zur Steuerung des Positionsrisikos verwendet.

Vorteile

  1. Einfach zu bedienen und zu verstehen

  2. Zurückziehen ist möglich

  3. Parameter sind leicht zu optimieren

Risiken und Lösungen

  1. Zwei-Linien-Kreuz-Signalverzögerung

Der Durchschnittszyklus kann gegebenenfalls verkürzt werden oder in Kombination mit anderen Indikatoren beurteilt werden

  1. Die Gefahr, dass die Erschütterung zu Ende geht

Erleichterung der Stop-Loss-Werte oder Kurvenstop

  1. Fehlende Parameter vergrößern den Verlust

Die Optimierungsparameter sollten ausreichend erfasst werden.

Optimierung

  1. In Kombination mit anderen Indikatoren

Vermeidung von Gleichschaltsignalverzögerungen wie MACD, KD usw.

  1. Optimierung der Mittelwertparameter

Versuche mit einer Kombination aus mehreren Periodenparametern

  1. Verschiedene Stop-Loss-Strategien testen

Strategien wie Test-Stop-Loss mit festen Werten oder Moving Stop

Zusammenfassen

Die Strategie ist übersichtlich und leicht zu verstehen, die Ergebnisse sind gut getestet, die Bedienung ist relativ einfach und eignet sich für Anfänger. Es gibt jedoch noch Optimierungsmöglichkeiten, und es wird empfohlen, die Strategie mit mehr Indikatoren und Geldmanagementstrategien zu kombinieren, um sie zu stabilisieren.

Strategiequellcode
/*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")