我想找出简单移动平均线的价值等于股票价格的日子。这是我的尝试：
from yahoo_fin.stock_info import *
import matplotlib.pyplot as plt
ticker = 'NFLX'
price = get_data(ticker, start_date='2019-01-01', end_date=None, index_as_date=bool, interval ='1d')
price.to_csv(r'D:\Python Stuff\pythonProject\NFLX.csv')
price_list = price['adjclose']
days = 14
simple_moving_average = price_list.rolling(window=days).mean()
combined = pd.DataFrame()
combined['adjclose'] = price['adjclose']
combined['SMA'] = simple_moving_average
#print(price_list[-days:]) #Shows last n days of the list
if simple_moving_average[-1] == price_list[-1] and simple_moving_average[-5] >price_list[-5]:
print('time to buy')
如何改进我的代码以完成必要的工作