In [11]: df
Out[11]:
                  Open        High         Low       Close    Volume   Adj Close
Date
2017-01-03  115.800003  116.330002  114.760002  116.150002  28781900  115.648597
2017-01-04  115.849998  116.510002  115.750000  116.019997  21118100  115.519154
2017-01-05  115.919998  116.860001  115.809998  116.610001  22193600  116.106611
2017-01-06  116.779999  118.160004  116.470001  117.910004  31751900  117.401002
2017-01-09  117.949997  119.430000  117.940002  118.989998  33387600  118.476334
2017-01-10  118.769997  119.379997  118.300003  119.110001  24462100  118.595819

In [12]: def func(idx, row):
    ...:     print(idx, row['Open'], row['High'], row['Low'], row['Close'])
    ...:     # здесь делаете все ваши вычисления, присвоения, etc. ...
    ...:

In [13]: for idx, r in df.iterrows():
    ...:     func(idx, r)
    ...:

2017-01-03 00:00:00 115.800003 116.330002 114.760002 116.150002
2017-01-04 00:00:00 115.849998 116.510002 115.75 116.019997
2017-01-05 00:00:00 115.919998 116.860001 115.809998 116.610001
2017-01-06 00:00:00 116.779999 118.160004 116.470001 117.910004
2017-01-09 00:00:00 117.949997 119.43 117.940002 118.989998
2017-01-10 00:00:00 118.769997 119.379997 118.300003 119.110001