Identifying code smells

The following is an implementation that passes the tests (for a listing of the test cases, download the code for this chapter from https://github.com/siddhi/test_driven_python). The implementation uses the timedelta class from the datetime module, so you'll have to import it at the top of the file to get it to work.

    def get_crossover_signal(self, on_date):
        cpl = []
        for i in range(11):
            chk = on_date.date() - timedelta(i)
            for price_event in reversed(self.price_history):
                if price_event.timestamp.date() > chk:
                    pass
                if price_event.timestamp.date() == chk:
                    cpl.insert(0, price_event)
                    break
                if price_event.timestamp.date() < chk:
                    cpl.insert(0, price_event)
                    break

        # Return NEUTRAL signal
        if len(cpl) < 11:
            return 0

        # BUY signal
       ...