
This strategy combines double exponential moving average and ALMA indicator to achieve trend following and entry. ALMA line serves as the main trend filter, going long when price is above ALMA line and going short when price is below ALMA line. Double EMA is used to give early trend signals for timely entry.
Solutions:
1. Adjust periods of double EMA properly to reduce false signals.
2. Tune parameters of ALMA line to decrease lagging.
3. Do parameter optimization to find the best parameter combination.
This strategy combines double EMA and ALMA indicator to achieve timely trend following and reliable entry filtering. By improving parameter optimization and stop loss strategy, it can further reduce false signals, control risks and improve strategy performance. It is suitable for trending markets and medium-long term trading especially.
/*backtest
start: 2022-12-15 00:00:00
end: 2023-12-21 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=3
//Author: HighProfit
//Lead-In
strategy("Double Exponential Moving Avarage & Arnoud Legoux Moving Avarage Strategy", shorttitle="ST-DEMA+ALMA", overlay=true)
//Arnoud Legoux Moving Avarage Inputs
source = close
windowsize = input(title="Window Size", defval=50)
offset = input(title="Offset", type=float, defval=0.85)
sigma = input(title="Sigma", type=float, defval=6)
//Exponential Moving Avarage Inputs
L1= input(5,"EMA-1")
L2= input(10,"EMA-2")
//Exponential Moving Avarage Calculations
e1= ema(close, L1)
e2= ema(close, L2)
//Conditions
longCondition = e1 and e2 > alma(source, windowsize, offset, sigma)
if (longCondition)
strategy.entry("Long", strategy.long)
shortCondition = e1 and e2 < alma(source, windowsize, offset, sigma)
if (shortCondition)
strategy.entry("Short", strategy.short)
//Plots
plot(alma(source, windowsize, offset, sigma), color=lime, linewidth=1, title="ALMA")
plot(e1, color=orange, linewidth=1, title="EMA-1")
plot(e2, color=blue, linewidth=1, title="EMA-2")