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Zweifelhafte schwebende durchschnittliche Crossover-Handelsstrategie

Schriftsteller:ChaoZhang, Datum: 2023-11-21 12:26:53
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Übersicht

Diese Strategie bestimmt Ein- und Ausstiege basierend auf den Crossover-Signalen von doppelten einfachen gleitenden Durchschnitten (SMA). Insbesondere hat der kurzfristige SMA eine Periode von 14, während der langfristige SMA eine Periode von 28 hat. Ein langes Signal wird ausgelöst, wenn der kurzfristige SMA über den langfristigen SMA überschreitet. Umgekehrt wird ein kurzes Signal ausgelöst, wenn der kurzfristige SMA unterhalb des langfristigen SMA überschreitet.

Strategie Logik

  1. Eingänge

    • Indikator-Einstellungen: Perioden für den schnellen und langsamen SMA definieren
    • Take Profit und Stop Loss: Konfigurieren Sie Prozentsätze für Take Profit und Stop Loss
    • Geldmanagement: Festlegen von Anfangskapital, Provisionsgebühren usw.
  2. Variablen

    Zwischenvariablen werden definiert, um Werte für den Gewinnpreis, den Stop-Loss-Preis, die Positionsgröße usw. zu speichern. Dadurch werden sich wiederholende Berechnungen vermieden.

  3. Erzeugung von Signalen

    Der SMA-Crossover wird verwendet, um lange und kurze Signale zu bestimmen.

  4. Eintrittsregeln

    Wenn ein Einstiegssignal ausgelöst wird, wird jede bestehende Position in der entgegengesetzten Richtung zuerst abgeflacht, bevor eine neue Bestellung basierend auf der Strategielogik platziert wird.

  5. Ausgangsregeln

    Für Positionsausgänge werden Gewinn- und Stop-Loss-Regeln konfiguriert.

  6. Geldmanagement

    Die Positionsgröße wird zur Risikomanagement für jeden Handel verwendet.

Vorteile

  1. Einfache Logik, leicht zu verstehen.
  2. Kontrollierbare Abzüge
  3. Optimierbare Parameter

Risiken und Minderung

  1. Verzögerte SMA-Crossover-Signale

    Überlegen Sie kürzere SMA-Perioden oder ergänzen Sie diese mit zusätzlichen Indikatoren

  2. Erhöhtes Stop-Loss-Risiko in den verschiedenen Märkten

    Erweitern Sie den Stop-Loss-Prozentsatz oder verwenden Sie Trailing-Stops

  3. Unteroptimale Parameter können Verluste verstärken

    Strenge Rückprüfung und Optimierung der Parameter

Möglichkeiten zur Verbesserung

  1. Ergänzung durch zusätzliche Indikatoren

    Zum Beispiel MACD, KD usw. zur Verringerung der Signalverzögerung

  2. Optimierung der SMA-Perioden

    Test mehr Kombinationen von kurzen und langen SMA-Perioden

  3. Experimentieren mit anderen Gewinn-/Stop-Loss-Strategien

    Z.B. fester $-Wert, Nachlaufstopp usw.

Schlussfolgerung

Die Strategie verfügt über eine klare und einfache Logik, vielversprechende Backtest-Ergebnisse und ist einfach zu bedienen - geeignet für Anfänger.


/*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")

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