Jasim Azizi

Data Analytics / Business Intelligence

Dogecoin Analysis Using Prophet Model
I collected data from Yahoo! Finance for the cryptocurrency called Dogecoin and ran some analysis on it in order to see if I can forecast the price of it. I utilized various software and tools to get the results which I needed. Some of these tools are Google Colab, Anaconda Software, Jupyter Notebook, R-Studio, and the microsoft office suite such as MS Excel and MS Word. I also used programming languages such as Python and R in order to further my analysis with the data that I collected from Yahoo! Finance.

The Prophet method that I used tests the general direction of Dogecoin based on the data being trained for one month, one year, and maximum duration of the data available on Yahoo! market. This does not, yet forecast the price of the Dogecoin within minutes; however, it does show the general direction of the stock, which is more crucial as of what is floating on the news and on the social media of famous influencers such as Elon Musk.

The reason that I used Prophet is that cryptocurrencies are simply too unpredictable unless there is an extended period of time with detailed historical observations provided. Dogecoin has had multiple strong seasonalities which has happened for the past decade, which is beyond the time-frame of Elon Musk’s tweets. These events are previously known important, yet irregular, events.

I assessed the write capability for a database management system. The evaluation was around MySQL’s compute engine, in which case I used an instance to launch it and make the proper commands to achieve my results. There were a total of 1 million records inserted into a table called Person which is in a database called load_testing. Click below for the full report.