Can we use the content of news analytics to predict stock price performance? The ubiquity of data today enables investors at any scale to make better investment decisions. The challenge is ingesting and interpreting the data to determine which data is useful, finding the signal in this sea of information.

The example code is in Python (version 3.6.6 or higher will work).

1. import pandas
2. import numpy
3. import seaborn
4. import matplotlib
5. import sklearn

• ./twosigma/ contains the various packages.
• ./Stock_prediction.ipynb is a Jupyter notebook containing the work I have done.

1. Data provided by:
   • Two Sigma