Bitcoin price can serve as an input variable for predicting the volatility of other on-chain assets. Its dominant market position and high liquidity often influence the broader crypto market, with price movements frequently correlating with altcoin volatility. Statistical models, such as GARCH or machine learning approaches, can incorporate Bitcoin’s price data alongside on-chain metrics like transaction volume or wallet activity to enhance volatility forecasts. However, Bitcoin’s impact varies across assets, and its predictive power may weaken for assets with unique fundamentals or low correlation. Over-reliance on Bitcoin price without considering asset-specific factors could lead to inaccurate predictions. Empirical testing is crucial to validate its effectiveness in specific models.