From power laws to AI networks, why complex Bitcoin price models memorize market noise

Bitcoin price forecasting has accumulated an unusually colorful collection of methods. You have basic scarcity models that convert the halving schedule into a price, and run-of-the-mill on-chain models that turn address or transaction activity into value. The highly contested power-law charts draw an ascending corridor through Bitcoin's history, and machine-learning systems feed market and macroeconomic [ ]