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In this project, I am analyzing the Bitcoin price dataset to find out the patterns in price changes. The goal behind this project is to find the patterns in historical data that might be useful in answering the sudden surge in the bitcoin price. My study is divided in to three parts:
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To analyze the seasonal trend in the Bitcoin price.
- To find the correlation among Bitcoin price and variables around it e.g Blocksize, hashrate, transaction rate.
- To find the relationship between Bitcoin price and Stock market price and see if there is any apparent trend.
- Stability in Bitcoin Price over the last five years
These are some of the results of my analysis. The code and complete documentation of the results is available in the repo.
The dataset (https://www.kaggle.com/sudalairajkumar/cryptocurrencypricehistory) is available online on Kaggle. The analysis is done in Python using Jupyter notebook. In order to run this project, you will need to install Jupyter Notebook: http://jupyter.org/ and run .ipynb file available on the Github. The folder contains a python notebook file, HTML file as well as report that would illustrate the results of my analysis.