In [2]: import mpt
In [3]: s = mpt.Stock("AAPL", startdate="2011-1-1", enddate="2011-8-26", dbfilename="data/stocks.db", bench="^GSPC")
In [4]: s.annual_volatility
Out[4]: 0.25664159049488167
In [5]: s.beta
Out[5]: 0.93393835917912793
In [6]: s.annualized_adjusted_return
Out[6]: 0.25932811333530831
In [7]: s.ratearray
Out[7]:
array([(datetime.datetime(2011, 1, 3, 0, 0), 0.0),
(datetime.datetime(2011, 1, 4, 0, 0), 0.005218921625147921),
...
(datetime.datetime(2011, 8, 25, 0, 0), -0.006539422616832269),
(datetime.datetime(2011, 8, 26, 0, 0), 0.02638338863320122)],
dtype=[(\'date\', (\'<M8[us]\', {})), (\'rate\', \'<f8\')])