In [1]:
using TimeSeries
using Quandl
data = quandl("YAHOO/AAPL")
Out[1]:
100x6 TimeSeries.TimeArray{Float64,2,Void} 2015-06-26 to 2015-11-16
Open High Low Close Volume Adjusted Close
2015-06-26 | 127.67 127.99 126.51 126.75 44066800 125.641
2015-06-29 | 125.46 126.47 124.48 124.53 49161400 123.4405
2015-06-30 | 125.57 126.12 124.86 125.43 44370700 124.3326
2015-07-01 | 126.9 126.94 125.99 126.6 30238800 125.4924
⋮
2015-11-11 | 116.37 117.42 115.21 116.11 45218000 116.11
2015-11-12 | 116.26 116.82 115.65 115.72 32262600 115.72
2015-11-13 | 115.2 115.57 112.27 112.34 45164100 112.34
2015-11-16 | 111.38 114.24 111.0 114.18 37651000 114.18
In [ ]:
Content source: dkensinger/julia
Similar notebooks: