This strategy enters trades based on HMA line and daily candlestick crosses and manages positions using stop loss and take profit logic. It combines different timeframe indicators for trend trading.
The main signals and rules:
HMA line: Calculates Hull Moving Average to determine medium-long term trend.
Daily close price: Judges short-term price action.
Entry signal: HMA crossing above previous daily close, with price higher than previous day’s price for long. Reverse for short.
Stop loss/take profit: Fixed levels to close positions when hit.
Adjustable HMA parameters for adaptability.
Considers multi-timeframe indicators for higher quality signals.
Stop loss/take profit facilitates risk management.
Clear entry rules and position management.
Backtest parameters can be optimized for different markets.
HMA lag may miss best entry timing.
Fixed stop loss/take profit may be too aggressive or conservative.
Lacks trend strength filter, risks countertrend trades.
Simple rules prone to false signals.
Improvements:
Optimize HMA parameters for lag.
Use trailing stop loss instead of fixed.
Add volume or momentum indicators to judge trend strength.
Incorporate other indicators like MACD for signal confirmation.
Potential ways to optimize the strategy:
Optimize HMA parameters for ideal combo.
Add trend strength filter to avoid countertrends.
Use dynamic stops instead of fixed levels.
Incorporate machine learning for auto parameter optimization.
Add simulated trading to test real-world performance.
The strategy logic is clear but has room for improvement. Adding trend filters, dynamic stops can improve stability. Overall provides a reasonable framework for catching medium-long term trends.
/*backtest
start: 2023-08-22 00:00:00
end: 2023-09-21 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
// created by SeaSide420 Enters on crossovers, exits Basket when profit $ = TP
// strategy(title="HMA & D1 crossover", overlay=true, currency="BTC", initial_capital=1, default_qty_type=strategy.percent_of_equity, default_qty_value=1, commission_type=strategy.commission.percent,commission_value=0.25,slippage=1)
SL=input(defval=-0.05,title="StopLoss $",type=input.float,step=0.01, maxval=-0.01)
TP=input(defval=0.05,title="TargetPoint $",type=input.float,step=0.01, minval=0.01)
price=input(title="Source",type=input.source,defval=open)
Period=input(14, minval=1)
hma = wma(2*wma(price, Period/2)-wma(price, Period), round(sqrt(Period)))
s1=security(syminfo.tickerid, timeframe.period, price, barmerge.gaps_off, barmerge.lookahead_off)
s2=security(syminfo.tickerid, "D", price, barmerge.gaps_off, barmerge.lookahead_off)
cp=s2<price?color.lime:color.red
cp1=plot((s2),color=color.black,title="DailyCandle1",linewidth=2,transp=0)
cp2=plot((s2[1]),color=color.black,title="DailyCandle2",linewidth=2,transp=0)
cp3=plot(hma,title="HMA",color=color.black)
fill(cp1,cp2,color=cp,transp=1)
fill(cp1,cp3,color=cp,transp=75)
closeall=strategy.openprofit<SL or strategy.openprofit>TP
if closeall
strategy.close_all(comment = "Close All")
if (hma>hma[1] and s1>s2 and s2[1]>s2[2] and s1>s2[1])
strategy.order("Buy", strategy.long)
if (hma<hma[1] and s1<s2 and s2[1]<s2[2] and s1<s2[1])
strategy.order("Sell", strategy.short)