In
this project I analyze modern and new techniques for stock historical data
prediction.

 I use many different approaches at the
problem: Essential analysis,

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Methodological
Analysis, and the application of Machine Learning. I discover that the historic
data does not cover useful information but out of small data may be

predictive.

I show that Essential Analysis and Machine Learning could

be used to guide an investor’s decisions. 

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Hi!
I'm Erica!

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