
La stratégie de rupture de deux EMA est une stratégie de suivi de la tendance qui utilise les moyennes EMA de deux périodes différentes pour juger des signaux d’achat et de vente. Cette stratégie est combinée à des indicateurs EMA supplémentaires pour filtrer les signaux de négociation, ce qui permet d’obtenir un meilleur moment d’entrée dans la tendance.
La stratégie utilise les EMA de la ligne rapide (en 9 cycles) et les EMA de la ligne lente (en 21 cycles) pour déterminer le moment de l’achat et de la vente. Un signal d’achat est généré lorsque la ligne rapide traverse la ligne lente et un signal de vente lorsque la ligne rapide traverse la ligne lente. Pour filtrer les faux signaux, la stratégie introduit également l’EMA auxiliaire (en 5 cycles) et deux autres EMA (en 1 et 4 cycles).
Lorsque le signal de négociation est déclenché, la stratégie définit un stop loss et un stop loss en fonction de la valeur de l’ATR. TP1 est six fois plus élevé que l’ATR pour obtenir une partie des bénéfices d’une vitesse plus rapide. Si le prix n’a pas déclenché TP1, la position est immédiatement levée lorsque l’EMA de la ligne rapide recouvre l’EMA auxiliaire.
Les directions d’optimisation
La stratégie de négociation de rupture de double EMA utilise le croisement de deux EMA pour juger de la tendance, avec un filtre EMA multiple et un arrêt de perte dynamique ATR, pour suivre efficacement la tendance. Cependant, il convient de prêter attention aux questions telles que la correspondance de la courbe EMA, le risque de perte.
The dual EMA crossover trading strategy utilizes two EMA lines of different periods to generate buy and sell signals by identifying trend direction. It also incorporates additional EMA indicators for signal filtering, allowing better entry timing in trending markets.
The strategy uses a fast EMA line (9 periods) and a slow EMA line (21 periods) to determine entries. A golden cross where the fast EMA crosses above the slow EMA generates a buy signal, while a death cross with the fast EMA crossing below the slow EMA produces a sell signal. To filter out false signals, the strategy also employs an auxiliary EMA (5 periods) and two more EMAs (1 period, 4 periods). A real trading signal is only triggered when the fast and slow EMAs cross while the auxiliary EMA is between the two, and the 1-period EMA is above the 4-period EMA.
Once a trading signal is triggered, the strategy utilizes ATR values to set stop loss and take profit levels. TP1 is set at 6 x ATR for faster profit taking. If price doesn’t hit TP1, the strategy will close the position directly when the fast EMA crosses back over the auxiliary EMA, realizing TP2.
Improvement directions:
The dual EMA crossover strategy leverages EMA crosses for trend direction, along with multiple EMA filtering and dynamic ATR stop loss/profit taking. This allows effective trend following and profit harvesting. However, EMA fitting limitations and stop loss risks require caution. Proper optimization, risk management etc. can lead to more robust performance. The strategy suits experienced traders to achieve high capital efficiency in trending markets.
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/*backtest
start: 2022-10-09 00:00:00
end: 2023-04-13 00:00:00
period: 1d
basePeriod: 1h
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/
// @author ADHDCRYPT0
//@version=4
strategy(title = "EMA double crossover", shorttitle = "(TEST) double cross over", overlay = true, default_qty_value = 100, initial_capital = 1000,default_qty_type=strategy.percent_of_equity, pyramiding=0, process_orders_on_close=true)
// Variables
ema_len1 = input(9 , title="Fast EMA")
ema_len2 = input(21, title="Slow EMA")
ema_len3 = input(5, title="Exit EMA")
ema_len4 = input(1, title="FastConf EMA")
ema_len5 = input(4, title="SlowConf EMA")
fastEMA = ema(open, ema_len1)
slowEMA = ema(open, ema_len2)
exitEMA = ema(open, ema_len3)
conf1EMA = ema(open, ema_len4)
conf2EMA = ema(open, ema_len5)
plot(fastEMA, title='fastEMA', transp=0, color=color.green)
plot(slowEMA, title='slowEMA', transp=0, color=color.red )
plot(exitEMA, title='exitEMA', transp=0, color=color.orange)
plot(conf1EMA, title='conf1EMA', transp=0, color=color.blue)
plot(conf2EMA, title='conf2EMA', transp=0, color=color.black)
vol = volume
volma = sma(volume,7)
vol_cond = vol>volma
atr = atr(5)
// Entry Conditions and vol_cond
long = crossover(fastEMA, slowEMA) and (conf1EMA > conf2EMA) and (fastEMA < exitEMA)
short= crossunder(fastEMA, slowEMA) and (conf1EMA < conf2EMA) and (fastEMA > exitEMA)
tradeType = input("BOTH", title="What trades should be taken : ", options=["LONG", "SHORT", "BOTH", "NONE"])
pos = 0.0
if tradeType=="BOTH"
pos:= long? 1 : short? -1 : pos[1]
if tradeType=="LONG"
pos:= long? 1 : pos[1]
if tradeType=="SHORT"
pos:=short? -1 : pos[1]
longCond = long and (pos[1]!= 1 or na(pos[1]))
shortCond = short and (pos[1]!=-1 or na(pos[1]))
// EXIT FUNCTIONS //
sl = input(1, title="Stop Loss (ATR)", minval=0)
tp = input(6, title="Take Profit 1 (ATR)", minval=0)
// Simple Stop Loss + 2 Take Profits
sl_long = valuewhen(longCond , low - atr * sl, 0)
sl_short = valuewhen(shortCond, high+ atr * sl, 0)
tp_long = valuewhen(longCond , high + atr * tp, 0)
tp_short = valuewhen(shortCond, low - atr * tp, 0)
long_exit = crossover(fastEMA, exitEMA) and pos[1]==1
short_exit= crossover(exitEMA, fastEMA) and pos[1]==-1
if long_exit or short_exit
pos:=0
// Position Adjustment
long_sl = low <sl_long [1] and pos[1]==1
short_sl = high>sl_short[1] and pos[1]==-1
if long_sl or short_sl
pos:=0
// Strategy Backtest Limiting Algorithm
i_startTime = input(defval = timestamp("01 Sep 2002 13:30 +0000"), title = "Backtesting Start Time", type = input.time)
i_endTime = input(defval = timestamp("30 Sep 2099 19:30 +0000"), title = "Backtesting End Time", type = input.time)
timeCond = true
// Make sure we are within the bar range, Set up entries and exit conditions
if strategy.equity >0
strategy.entry("long" , strategy.long , when=longCond and timeCond and tradeType!="SHORT" , alert_message="INSERT MESSAGE HERE")
strategy.entry("short", strategy.short, when=shortCond and timeCond and tradeType!="LONG" , alert_message="INSERT MESSAGE HERE")
strategy.exit("SL/TP1", from_entry = "long" , stop=sl_long , limit=tp_long , alert_message="INSERT MESSAGE HERE")
strategy.exit("SL/TP1", from_entry = "short", stop=sl_short, limit=tp_short, alert_message="INSERT MESSAGE HERE")
strategy.exit("SL", from_entry = "long" , stop=sl_long, alert_message="INSERT MESSAGE HERE")
strategy.exit("SL", from_entry = "short", stop=sl_short, alert_message="INSERT MESSAGE HERE")
strategy.close("long", when=long_exit , comment="TP2", alert_message="INSERT MESSAGE HERE")
strategy.close("short", when=short_exit, comment="TP2", alert_message="INSERT MESSAGE HERE")