How to set a profit target with a trailing stop at the same time?

[Raymond-Peng]

Hi Community and Creators,

I was testing a strategy on conditions when today's close price is lower than past 7 day's close and take profit when the close is higher than the past 7 day's close. The stop loss is a trailing stop of 2*ATR(20) like it shows in the example. However, I couldn't make the strategy work since it gave me some errors about the rolling function can't be apply to the array and also I am not sure if it can be wrote as this logic below. Any help will be appreciated! Thank you a lot

def nd_low(series, n):
    series.rolling(window=n).min().shift(1)
    
def nd_high(series, n):
    series.rolling(window=n).max().shift(1)

class dipbuy(SignalStrategy,
               TrailingStrategy):
    entry_period = 7
    exit_period = 7
    
    def init(self):
        # In init() and in next() it is important to call the
        # super method to properly initialize the parent classes
        super().init()
        
        # Precompute the rsi
        nday_low = self.I(nd_low, pd.Series(self.data.Close), self.entry_period)
        nday_high = self.I(nd_high, pd.Series(self.data.Close), self.exit_period)
        
        
        # Where rsi crosses rsi_target upwards. Diff gives us [-1,0, *1*]
        signal = (self.Close<nday_low).astype(int).diff().fillna(0)
        signal = signal.replace(-1, 0)  # Upwards/long only
        
        # Use 95% of available liquidity (at the time) on each order.
        # (Leaving a value of 1. would instead buy a single share.)
        entry_size = signal * .95
                
        # Set order entry sizes using the method provided by 
        # `SignalStrategy`. See the docs.
        self.set_signal(entry_size=entry_size)
        
        # Set trailing stop-loss to 2x ATR using
        # the method provided by `TrailingStrategy`
        self.set_trailing_sl(2)
        
        def next(self):
            # If sma1 crosses above sma2, close any existing
            # short trades, and buy the asset
            if self.Close > nday_high:
                self.position.close()

[kernc]

You are not returning anything from your nd_low and nd_high.

Also be aware of the availability of .s accessor.

def nd_low(s, n):
    return s.rolling(n).min().shift()

nday_low = self.I(nd_low, self.data.Close.s, self.entry_period)

[Raymond-Peng]

Thank you. I will try again with your suggestions 😃