1, Sid-by-side comparison
2, Code snippet:
from rpy2.robjects import r
from pandas_datareader import data, wb
import talibimport numpy
import matplotlib.pyplot as plt
IBM = r("getSymbols('IBM', src='google', from='2013-01-01')")
f = data.DataReader(ticker,'google')
f['SMA_50'] = talib.SMA(numpy.asarray(f['Close']), 50)
f.plot(y= ['Close','SMA_20','SMA_50'], title='AAPL Close & Moving Averages')
plt.show()
3. Module Installation
conda install rpy2
conda install -c quantopian ta-lib
# more inteteresting modules
conda install -c quantopian zipline
conda install -c quantopian pyfolio
conda install seaborn
conda install quandl
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