The double EMA breakout trading strategy is a trend-tracking strategy that uses the EMA averages of two different cycles to judge the buying and selling signals. The strategy also combines additional EMA indicators to filter the trading signals to obtain better entry times in the trending market.
The strategy uses a fast-line EMA (~9 cycles) and a slow-line EMA (~21 cycles) to determine when to buy and sell. The buy signal is generated when the slow line crosses the fast line, and the sell signal is generated when the slow line crosses the fast line. To filter for false signals, the strategy also introduces an auxiliary EMA (~5 cycles) and two additional EMA (~1 cycles, ~4 cycles).
When the trading signal is triggered, the strategy sets the stop loss and stop position based on the ATR value. TP1 is 6 times the ATR and is used to capture partial profits at a faster rate. If the price does not trigger TP1, it will flatten the position directly when the fast EMA crosses the auxiliary EMA again, achieving a TP2 stop.
Optimization directions:
The double EMA breakout trading strategy uses a cross between the two EMAs to make trend judgments, and is complemented by multiple EMA filters and dynamic stop-loss and stop-loss ATRs to effectively track trend gains. However, issues such as EMA curve fit, stop-loss risk and other issues need to be addressed. More stable trading performance can be achieved through measures such as parameter optimization and risk management.
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")