我想计算每天 returns 的股票

Question

    Closing_Date    AAL_Close   AAPL_Close
665 2015-01-12  49.580002   27.312500
666 2015-01-13  50.400002   27.555000
667 2015-01-14  49.410000   27.450001
668 2015-01-15  49.410000   26.705000
669 2015-01-16  49.810001   26.497499

我想用今天的股价除以昨天的股价。第一行将导致 Nan 或 empty 。它每天计算 returns .

Answer 1

假设您有所有连续的日期：

df['Closing_Date'] = pd.to_datetime(df['Closing_Date'])
df2 = df.set_index('Closing_Date')

df2.div(df2.shift(1))

或者如果你真的想依赖之前的日期：

df['Closing_Date'] = pd.to_datetime(df['Closing_Date'])
df2 = df.set_index('Closing_Date')

df2.div(df2.reindex(df2.index-pd.Timedelta('1d')).values)

输出：

              AAL_Close  AAPL_Close
Closing_Date                       
2015-01-12          NaN         NaN
2015-01-13     1.016539    1.008879
2015-01-14     0.980357    0.996189
2015-01-15     1.000000    0.972860
2015-01-16     1.008096    0.992230

我想计算每天 returns 的股票

I want to calculate daily returns in the stocks

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