A Bitcoin price prediction model assuming oscillatory growth and lengthening cycles

This article’s motivation is to understand the volatile Bitcoin price increase. The objective develop estimation methods. methodology present five differential equation models estimated against 23 July 2010–21 June 2021 data. findings are that Gompertz growth fits damped oscillations and lengthening cycles well, tracks early data better with weighted least squares method. combined charged capacitor even better. Logistic too slow track some extent Pure unrealistic. dates for future bull market maxima depend a low degree on model carrying capacity approached asymptotically, assumed match gold at $10 trillion, be 50 times higher. implications traders focus large standard deviations. Investors should potential compared other asset classes. Regulators ensure financial stability by focusing fluctuations. Central banks adjust money supply while acknowledging. competition. Collective units determine whether accept transactions.