Stratégie de trading croisée Double SMA


Date de création: 2023-11-21 12:26:53 Dernière modification: 2023-11-21 12:26:53
Copier: 0 Nombre de clics: 682
1
Suivre
1617
Abonnés

Stratégie de trading croisée Double SMA

Aperçu

Cette stratégie est basée sur les signaux de croisement des lignes moyennes des deux SMA pour juger de l’entrée et de la sortie. Plus précisément, le SMA à court terme est de 14 cycles et le SMA à long terme est de 28 cycles.

Principe de stratégie

  1. Paramètres de saisie

    • Ligne moyenne: définition de la longueur de cycle des lignes rapides et lentes
    • Stop Loss: régler le stop ratio et le stop loss ratio
    • Gestion des fonds: définition du capital initial, du mode de versement des commissions, du taux de commissions, etc.
  2. Les variables

Des variables intermédiaires ont été définies pour conserver le prix d’arrêt, le prix d’arrêt de perte, le nombre de positions, etc. Cela permet d’éviter le double calcul.

  1. Décision du signal

Les signaux de plus et de moins sont jugés par la croisée des SMA.

  1. Règles d’entrée

Lorsque le signal d’entrée a été jugé, la position inversée précédente est levée, puis l’ordre est placé selon la logique de la stratégie.

  1. Règles de jeu

Les règles d’arrêt et d’arrêt des pertes sont définies.

  1. Gestion des fonds

Utilisez le nombre de positions pour contrôler le risque de position.

Les avantages

  1. Simple et facile à comprendre

  2. Retour sous contrôle

  3. Paramètres faciles à optimiser

Risques et solutions

  1. Le signal de croisement bi-ligne est en retard

La courbe moyenne peut être raccourcie de manière appropriée ou combinée avec d’autres indicateurs.

  1. Le risque de séisme est élevé.

On peut avoir un stop-loss plus large, ou utiliser un stop-loss en courbe

  1. Les paramètres incorrects peuvent augmenter les pertes

Les paramètres d’optimisation doivent être pleinement mesurés

Optimiser les idées

  1. En combinaison avec d’autres indicateurs

Le MACD, le KD, etc., permettent d’éviter le décalage des signaux homogènes

  1. Paramètre de la moyenne optimisée

Test de combinaisons de paramètres plus périodiques

  1. Tester différentes stratégies de stop-loss

Stratégies d’essais comme le stop loss à valeur fixe et le stop mobile

Résumer

L’idée générale de la stratégie est claire et facile à comprendre, les résultats de la rétroaction sont bons, l’opération est relativement simple et convient aux traders débutants. Cependant, il y a encore de la place pour l’optimisation, il est recommandé de combiner plus de jugements d’indicateurs et de stratégies de gestion de fonds, ce qui rendra la stratégie plus solide.

Code source de la stratégie
/*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")