Sell one stock and buy another for the cash from the sell

[MildJoe]

A simple MA crossing of SPX (data0) one day makes a trade next day: 1) sell order of TQQQ (data1) and 2) a buy order of SQQQ (data2) (with the cash from sell included.)
Am supposed to be all in (or 97%) on either TQQQ or SQQQ at all time.
But I guess the sizing is calculated for both at the same time (previous day close?), so the sell-order is ok (sells all), but the buy is based on cash in portfolio before sell only, so it's just a small ammount there.
How can i include the cash from sell-order of TQQQ when the size of te buy-order SQQQ is calculated?

Are these two orders defined as the same trade, is that the issue?
Can I somehow define them as two separate trades, would that solve it?

(From Jupyter Notebook:)

# creating strategy

class SmaCross(bt.Strategy):
    
    
    
    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.datas[0].datetime.date(0)
        print('%s, %s' % (dt.isoformat(), txt))

#     def __init__(self):
#         # Keep a reference to the "close" line in the data[0] dataseries
#         self.dataclose = self.datas[0].close
    

    
    
    def __init__(self):
        # Keep a reference to the "close" line in the data[0] dataseries
        self.dataclose = self.datas[0].close
        
        # To keep track of pending orders
        self.order = None
        
        # parameters
        self.sma1 = bt.ind.EMA(data0, period=14)
        self.sma2 = bt.ind.SMA(data0, period=40)
        self.crossover = bt.ind.CrossOver(self.sma1, self.sma2)

        
        
    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            return

        # Check if an order has been completed
        # Attention: broker could reject order if not enough cash
        if order.status in [order.Completed]:
            if order.isbuy():
                self.log('BUY EXECUTED, at %.2f, shares: %.2f, total$: %.2f' %
                         (order.executed.price, order.executed.size, order.executed.value))
            elif order.issell():
                self.log('SELL EXECUTED, at %.2f, shares: %.2f, total$: %.2f' % 
                         (order.executed.price, order.executed.size, order.executed.value))

            self.bar_executed = len(self)

        elif order.status in [order.Canceled, order.Margin, order.Rejected]:
            self.log('Order Canceled/Margin/Rejected')

        # Write down: no pending order
        self.order = None
    
    
    
    def notify_trade(self, trade):
        if not trade.isclosed:
            return

        self.log('OPERATION PROFIT, GROSS %.2f, NET %.2f' %
                 (trade.pnl, trade.pnlcomm))
    
  
        
    # define the logic of strategy
    def next(self):
        # Simply log the closing price of the series from the reference
        self.log('Close: %.2f' % self.dataclose[0])
        self.log('Sma1: %.2f Sma2: %.2f Crossover?: %.1f' % (self.sma1[0], self.sma2[0], self.crossover[0]))
        
        # Check if an order is pending ... if yes, we cannot send a 2nd one
        if self.order:
            return

       
        if self.crossover > 0:  #if fast crosses slow to upside
            self.log('SELL SQQQ and BUY TQQQ. Crossover, %.2f' % self.crossover[0])
            if self.broker.getposition(data2).size:
                self.order = self.close(data2)

            if not self.broker.getposition(data1).size:
                self.order = self.buy(data1)



        if self.crossover < 0:  #crossing to the downside
            self.log('SELL TQQQ and BUY SQQQ. Crossover, %.2f' % self.crossover[0])
            if self.broker.getposition(data1).size:
                self.order = self.close(data1)

            if not self.broker.getposition(data2).size:
                self.order = self.buy(data2)


####

cerebro.addsizer(bt.sizers.PercentSizer, percents=97)

cerebro.broker.set_cash(100000)
# Set the commission - 0.1% ... divide by 100 to remove the %
cerebro.broker.setcommission(commission=0.001)
####


In this log example below you see the cash from the sell gives: 322.083,28
But the buy only use: 31.216,72 (which is from what is left of the 97% previous buy of TQQQ)
And then the opposite happens on the next trade.


2021-09-20, Sma1: 4460.34 Sma2: 4456.64 Crossover?: 0.0
2021-09-21, Close: 4354.19
2021-09-21, Sma1: 4446.18 Sma2: 4454.93 Crossover?: -1.0
2021-09-21, SELL TQQQ and BUY SQQQ. Crossover, -1.00
2021-09-22, SELL EXECUTED, at 67.43, shares: -8596.34, total$: 322083.28
2021-09-22, BUY EXECUTED, at 40.25, shares: 775.57, total$: 31216.72
2021-09-22, OPERATION PROFIT, GROSS 257567.78, NET 256666.05
2021-09-22, Close: 4395.64
2021-09-22, Sma1: 4439.44 Sma2: 4454.79 Crossover?: 0.0
2021-09-23, Close: 4448.98

.........

2021-10-20, Sma1: 4437.17 Sma2: 4439.22 Crossover?: 0.0
2021-10-21, Close: 4549.78
2021-10-21, Sma1: 4452.19 Sma2: 4440.56 Crossover?: 1.0
2021-10-21, SELL SQQQ and BUY TQQQ. Crossover, 1.00
2021-10-22, SELL EXECUTED, at 36.90, shares: -775.57, total$: 31216.72
2021-10-22, BUY EXECUTED, at 71.74, shares: 7767.03, total$: 557168.13
2021-10-22, OPERATION PROFIT, GROSS -2598.16, NET -2658.00
2021-10-22, Close: 4544.90
2021-10-22, Sma1: 4464.55 Sma2: 4442.43 Crossover?: 0.0