Crypto Sovereignty has released a study on Hacker Noon examining Bitcoin price dynamics using a bivariate jump-diffusion model.

The study highlights the influence of Google search frequency on Bitcoin's price, suggesting it acts as a sentiment indicator.

Advanced methodologies in the study include the use of artificial intelligence, particularly neural networks, to understand Bitcoin's value.

Practical applications like the multi-layer perceptron and the Black-Scholes equation were implemented to demonstrate numerical results in the study.

The research has been made accessible through Hacker Noon's terminal and lite versions, indicating a broad dissemination of the findings.

The article aims to provide a deeper understanding of cryptocurrency valuation through the lens of sophisticated technology and mathematical analysis.