Honors College Thesis

 

Success Indicators of Initial Coin Offerings Public Deposited

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https://ir.library.oregonstate.edu/concern/honors_college_theses/bg257m30v

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  • In a big data day and age, there is an abundance of information and we now have the tools to understand it with data mining and machine learning algorithms. With the rise and fall and rise again of Bitcoin, the finance industry and society itself is caught in between. There are many factors that an investor considers when choosing to invest in a particular coin and understanding those factors can allow the investor to make a more informed decision. Data on how an initial coin offering is presented on the rating platform, ICOBench, was collected and analyzed using the random forest classifier. This resulted in a prediction model regarding the success of a coin in terms of average rating and number of ratings to determine what factors hold the most influence.
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