According to Michael Saylor, Bitcoin functions as a Newtonian Network, suggesting that its growth and adoption follow predictable, physics-like patterns that can be analyzed for trading decisions (source: Michael Saylor on Twitter, April 30, 2025). Saylor’s analogy implies that Bitcoin’s expansion and user base growth are subject to measurable dynamics, offering traders an analytical framework for forecasting price movements and network activity. This perspective aligns with long-term trend analysis and can help traders identify key inflection points in the Bitcoin market.