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Strategy vault / Trend following

Swing Hull rsi EMA Strategy

A Swing trading strategy that use a combination of indicators, Hull average to get the trend direction, ema and rsi do the rest, use it are your own risk expecially at the end of any hull trend Past Performance Does…

Author
ChaoZhang
Complexity
Intermediate · 96 lines
Parameters
9
Backtest bar
30m · intraday
Tested on
BTC/USDT · futures

A Swing trading strategy that use a combination of indicators, Hull average to get the trend direction, ema and rsi do the rest, use it are your own risk expecially at the end of any hull trend Past Performance Does Not Guarantee Future Results

backtest IMG

Parameters

NameDefaultWhat it controls
v_input_1500period
v_input_214length
v_input_370overSold
v_input_430overBought
v_input_559fastLength
v_input_682fastLengthL
v_input_796slowLength
v_input_895slowLengthL
v_input_975sl

Source Pine Script

/*backtest
start: 2022-04-24 00:00:00
end: 2022-05-23 23:59:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=2
strategy("Swing Hull/rsi/EMA Strategy", overlay=true,default_qty_type=strategy.cash,default_qty_value=10000,scale=true,initial_capital=10000,currency=currency.USD)

//A Swing trading strategy that use a combination of indicators, rsi for target, hull for overall direction enad ema for entering the martket.
// hull ma copied from syrowof HullMA who copied from mohamed982 :) thanks both
// Performance 

n=input(title="period",defval=500)

n2ma=2*wma(close,round(n/2))
nma=wma(close,n)
diff=n2ma-nma
sqn=round(sqrt(n))

n2ma1=2*wma(close[1],round(n/2))
nma1=wma(close[1],n)
diff1=n2ma1-nma1
sqn1=round(sqrt(n))

n1=wma(diff,sqn)
n2=wma(diff1,sqn)
c=n1>n2?green:red
ma=plot(n1,color=c)



// RSi and Moving averages

length = input( 14 )
overSold = input( 70)
overBought = input( 30)
point = 0.0001
dev= 2

fastLength = input(59)
fastLengthL = input(82)
slowLength = input(96)
slowLengthL = input(95)
price = close

mafast = ema(price, fastLength)
mafastL= ema(price, fastLengthL)
maslow = ema(price, slowLength)
maslowL = ema(price, slowLengthL)
vrsi = rsi(price, length)
cShort =  (crossunder(vrsi, overBought))

condDown = n2 >= n1
condUp = condDown != true
closeLong =  (crossover(vrsi, overSold))
closeShort = cShort 


// Strategy Logic
longCondition = n1> n2
shortCondition = longCondition != true

col =condUp ? lime : condDown ? red : yellow
plot(n1,color=col,linewidth=3)


if (not na(vrsi))
    if shortCondition    
        if (price[0] < maslow[0] and price[1] > mafast[1]) //cross entry
            strategy.entry("SYS-SHORT", strategy.short, comment="short")
strategy.close("SYS-SHORT", when=closeShort) //output logic

if (not na(vrsi))
    if longCondition // swing condition          
        if (price[0] < mafast[0] and price[1] > mafast[1]) //cross entry
            strategy.entry("SYS-LONG", strategy.long, comment="long")
strategy.close("SYS-LONG", when=closeLong) //output logic


// Stop Loss 


sl = input(75)
Stop = sl * 10
Q = 100


strategy.exit("Out Long", "SYS-LONG", qty_percent=Q, loss=Stop)
strategy.exit("Out Short", "SYS-SHORT", qty_percent=Q, loss=Stop)



//plot(strategy.equity, title="equity", color=red, linewidth=2, style=areabr)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-25. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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