Take Profit Levels: Phasing out based on profit on current trade

[IntergalacticWaffle]

I have a question regarding take profits levels in this framework and have also provided my code below:

• Based on the code block that I have commented out towards the bottom (Phases out of a trade based on take profit levels as percent profit on a trade): Right now the take profit levels are executing whenever the percent profit on the current trade is above the take profit level, based on the close. So if the close had triggered the take profit level, then the trade would start phasing out. The profit for the percent of the trade that is now closed (phased out), is also based on the close price as opposed to the take profit price. I would like the profit to be based on the take profit price. I assume in order to accomplish this, I would need to integrate these take profit levels directly into the self.buy(sl=long_stop_loss) and self.sell(sl=short_stop_loss) code lines by adding tp= to them, so that it becomes a limit order. How can I go about doing this so that it still has multiple take profit levels and also phases out?

Thank you so much for any help and thanks for creating this framework!

data = data_to_pd(symbol, interval)
data.index = pd.to_datetime(data.index)


class MyStrategy(Strategy):
    
    def init(self):
        self.ema = self.I(ema, self.data.Close, 15)
        self.sma = self.I(sma, self.data.Close, 25)
        self.tp1_reached = False
        self.tp2_reached = False
        self.tp3_reached = False
    
    def next(self):
        # Check long conditions
        if not self.position.is_long and self.ema[-1] > self.sma[-1]:
            self.position.close()
            long_stop_loss = self.data.Close[-1] * 0.99
            self.buy(sl=long_stop_loss)

            self.tp1_reached = False
            self.tp2_reached = False
            self.tp3_reached = False


        # Check short conditions
        elif not self.position.is_short and self.ema[-1] < self.sma[-1]:
            self.position.close()
            short_stop_loss = self.data.Close[-1] * 1.01
            self.sell(sl=short_stop_loss)

            self.tp1_reached = False
            self.tp2_reached = False
            self.tp3_reached = False

        '''
        # Check for take profit
        elif self.position is not None:
            # Take profit check
            if self.trades:
                trade = self.trades[0]
                
                # take profit level 1 
                if trade.pl_pct > 0.025 and not self.tp1_reached: 
                    print("TP1 reached near:", trade.entry_time)
                    trade.close(portion=0.5)  # Close half of the trade
                    self.tp1_reached = True
                
                # take profit level 2
                if trade.pl_pct > 0.05 and not self.tp2_reached: 
                    print("TP2 reached near:", trade.entry_time)
                    trade.close(portion=0.5)  # Close half of remaining half of the trade
                    self.tp2_reached = True
                
                # take profit level 3
                if trade.pl_pct > 0.10 and not self.tp3_reached: 
                    print("TP3 reached near:", trade.entry_time)
                    trade.close()  # Close rest of trade
                    self.tp3_reached = True
        '''


def ema(series, period):
    return talib.EMA(series, timeperiod=period)

def sma(series, period):
    return talib.SMA(series, timeperiod=period)

bt = Backtest(
    data,
    MyStrategy,
    cash=10_000_000,
    #commission=0.0002,
    exclusive_orders=True,
)