Bitcoin Flows Graph Analysis - Neo4j
This project aimed at analyzing bitcoin graph data and providing sophisticated information on bitcoin transaction data and aggregate on-chain statistics derived from graph data. The outcome statistics in the form of time series were later used in predictive machine learning models.
This project was a continuation of my two previous projects:
In this project, I was using the data I modeled in the previous projects to perform graph analysis in Neo4j. I was working with Neo4j Graph Data Science Library as well ad Neo4j parallel processing procedures from the APOC library.
The statistics I produced within this project were used by financial analysts of an advisory company focusing on investments in crypto assets, in order to create investment recommendations for their clients.
