The resource loading... loading...

Dual EMA Crossover Trading Strategy

Author: ChaoZhang, Date: 2023-10-16 16:24:00
Tags:

img

See also:

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 Principle

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.

The advantages

  • Using a combination of double EMAs to filter fake signals to improve the quality of trading signals
  • An auxiliary EMA indicator can further verify trend direction and reduce the risk of reverse operation
  • Double-stop, profit-making designs that are both fast and sustainable to track trends.
  • ATR dynamic stop loss brake can be adjusted according to market volatility to reduce risk

Risk and Optimization

  • EMA indicators are prone to curve fitting, and trading signals may lag.
  • The short-cycle EMA combination may produce more noise trading signals
  • Short-line operations are vulnerable to emergencies and have a higher risk of failure.

Optimization directions:

  • Test multiple sets of EMA parametric combinations to find optimal parameters
  • Adding verification of other metrics, such as trading volume, volatility, etc.
  • Appropriately loosen the stop loss range to reduce the likelihood of stop loss being triggered
  • Optimize the ratio of double-dealing setups, balancing the rate of profit and the efficiency of capital utilization

Summary

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.

Overview

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.

Principles

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.

Advantages

  • Dual EMA design filters false signals and improves signal quality
  • Auxiliary EMA adds trend direction verification, reducing reverse trade risks
  • Dual take profit allows fast profit and sustained trend following
  • Dynamic ATR stop loss/take profit adjusts to market volatility

Risks and Improvements

  • EMAs can lag prices and generate late signals
  • Shorter EMA combos may produce more noise
  • Tighter stops face larger sudden event risks

Improvement directions:

  • Test multiple EMA combos for better parameters
  • Add other confirmation indicators like volume, volatility etc.
  • Widen stop loss to lower stop out odds
  • Optimize take profit ratios for profit vs capital efficiency

Conclusion

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.

[/trans]


/*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")


More