
Cette stratégie est basée sur une divergence de plusieurs périodes de la ligne moyenne, suit la tendance de la ligne moyenne longue, adopte le modèle de suivi de la position de différence de niveau, pour réaliser une croissance indicielle du capital. Le plus grand avantage de la stratégie est de pouvoir saisir la tendance de la ligne moyenne longue, effectuer un suivi par lots, ce qui permet d’obtenir des gains supplémentaires.
C’est la logique de base de cette stratégie.
Cette stratégie est généralement très adaptée pour capturer la tendance à long terme de la situation, en utilisant une méthode de suivi par lots et par étapes, permettant d’obtenir un rendement excessif par rapport au rendement du risque. Il existe également un certain risque opérationnel, qui doit être contrôlé par des méthodes telles que l’ajustement des paramètres, afin de trouver un équilibre entre le rendement et le risque.
/*backtest
start: 2023-12-27 00:00:00
end: 2024-01-03 00:00:00
period: 1m
basePeriod: 1m
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/
// © Coinrule
//@version=3
strategy(shorttitle='Pyramiding Entry On Early Trends',title='Pyramiding Entry On Early Trends (by Coinrule)', overlay=false, pyramiding= 7, initial_capital = 1000, default_qty_type = strategy.percent_of_equity, default_qty_value = 20, commission_type=strategy.commission.percent, commission_value=0.1)
//Backtest dates
fromMonth = input(defval = 1, title = "From Month")
fromDay = input(defval = 10, title = "From Day")
fromYear = input(defval = 2020, title = "From Year")
thruMonth = input(defval = 1, title = "Thru Month")
thruDay = input(defval = 1, title = "Thru Day")
thruYear = input(defval = 2112, title = "Thru Year")
showDate = input(defval = true, title = "Show Date Range")
start = timestamp(fromYear, fromMonth, fromDay, 00, 00) // backtest start window
finish = timestamp(thruYear, thruMonth, thruDay, 23, 59) // backtest finish window
window() => true // create function "within window of time"
//MA inputs and calculations
inSignal=input(9, title='MAfast')
inlong1=input(100, title='MAslow')
inlong2=input(200, title='MAlong')
MAfast= sma(close, inSignal)
MAslow= sma(close, inlong1)
MAlong= sma(close, inlong2)
Bullish = crossover(close, MAfast)
longsignal = (Bullish and MAfast > MAslow and MAslow < MAlong and window())
//set take profit
ProfitTarget_Percent = input(3)
Profit_Ticks = (close * (ProfitTarget_Percent / 100)) / syminfo.mintick
//set take profit
LossTarget_Percent = input(3)
Loss_Ticks = (close * (LossTarget_Percent / 100)) / syminfo.mintick
//Order Placing
strategy.entry("Entry 1", strategy.long, when = (strategy.opentrades == 0) and longsignal)
strategy.entry("Entry 2", strategy.long, when = (strategy.opentrades == 1) and longsignal)
strategy.entry("Entry 3", strategy.long, when = (strategy.opentrades == 2) and longsignal)
strategy.entry("Entry 4", strategy.long, when = (strategy.opentrades == 3) and longsignal)
strategy.entry("Entry 5", strategy.long, when = (strategy.opentrades == 4) and longsignal)
strategy.entry("Entry 6", strategy.long, when = (strategy.opentrades == 5) and longsignal)
strategy.entry("Entry 7", strategy.long, when = (strategy.opentrades == 6) and longsignal)
if (strategy.position_size > 0)
strategy.exit(id="Exit 1", from_entry = "Entry 1", profit = Profit_Ticks, loss = Loss_Ticks)
strategy.exit(id="Exit 2", from_entry = "Entry 2", profit = Profit_Ticks, loss = Loss_Ticks)
strategy.exit(id="Exit 3", from_entry = "Entry 3", profit = Profit_Ticks, loss = Loss_Ticks)
strategy.exit(id="Exit 4", from_entry = "Entry 4", profit = Profit_Ticks, loss = Loss_Ticks)
strategy.exit(id="Exit 5", from_entry = "Entry 5", profit = Profit_Ticks, loss = Loss_Ticks)
strategy.exit(id="Exit 6", from_entry = "Entry 6", profit = Profit_Ticks, loss = Loss_Ticks)
strategy.exit(id="Exit 7", from_entry = "Entry 7", profit = Profit_Ticks, loss = Loss_Ticks)