The thesis attempts to answer the question, if - and to what extent - online
in
uencers on the social media site Reddit in
uence the movements of stocks
and cryptocurrencies, whose companies they advocate or criticise.
We have analyzed the submissions of those subreddits, that deal with
discussion and analysis of relevant stocks and cryptocurrencis. The stock
market data for the chosen assets was found on the Yahoo Finance website
[18].
For sentiment analysis of submissions, we used python libraries TextBlob
and VADER [14][17], as they have been used eectively in other works [43].
Using Granger Causality analysis, we selected the best-performing features.
On the basis of given values and the movement of stocks, we have built a
group of predictive models, which we validated and compared to each other
to get the best result. The nal model would be a useful tool for investors,
which predicts patterns of stock market movement in the near future, based
on its movement and sentiment in the near past.
Our analysis suggests, that enthusiasm about a particular asset - measured
with an increase in the number of posts about it - contains important
information about the movement of said asset, if the post authors represent
a large enough share of the investors of that asset.
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