This list of stocks can have just one element if you prefer ...

def initialize(context):  
    context.stocks = [ sid(24), sid(39840) ]  
    schedule_function(opens, date_rules.every_day(), time_rules.market_open())

def opens(context, data):  
    cash = context.portfolio.cash

    for s in context.stocks:  
        prc = data.current(s, 'price')  
        log.info('{}  {}  vs  {} cash   shares {}'.format( s.symbol,  
             prc, int(cash), context.portfolio.positions[s].amount ))  
        if cash > prc:  
            order(s, 1)  
            cash -= prc  

2010-06-30 06:31 opens:11 INFO AAPL  256.87  vs  10400 cash   shares 0  
2010-06-30 06:31 opens:11 INFO TSLA  25.58  vs  10143 cash   shares 0  
2010-07-01 06:31 opens:11 INFO AAPL  254.02  vs  10115 cash   shares 1  
2010-07-01 06:31 opens:11 INFO TSLA  24.97  vs  9861 cash   shares 1  
2010-07-02 06:31 opens:11 INFO AAPL  249.61  vs  9835 cash   shares 2  
2010-07-02 06:31 opens:11 INFO TSLA  22.19  vs  9585 cash   shares 2  
2010-07-06 06:31 opens:11 INFO AAPL  251.2  vs  9562 cash   shares 3  
2010-07-06 06:31 opens:11 INFO TSLA  19.9  vs  9311 cash   shares 3  
2010-07-07 06:31 opens:11 INFO AAPL  249.84  vs  9289 cash   shares 4  
2010-07-07 06:31 opens:11 INFO TSLA  16.3  vs  9039 cash   shares 4  
etc  

Hi,

Thanks so much for your answer. However, when I run the full backtest, I still see that cash is being added which starts the trading up again. You can see here that cash jumps from $119 on 2017-5-17 to $160 on 2017-5-18 (using the code provided), allowing trading to start again. I am new to this, so please excuse me if this is an easy answer.
Thanks,

Steve

The Q backtester is smart enough to add dividends to your account as cash. In this case, AAPL paid a $.63/share on 5/18/2017. Your algorithm quickly used that cash then to buy more AAPL.

Dan,

Thank you so much!!!!!!!!!

Steve