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A Supply and Demand Framework for Bitcoin Price Forecasting

Author

Listed:
  • Murray A. Rudd

    (Satoshi Action Education, Portland, OR 97214, USA)

  • Dennis Porter

    (Satoshi Action Education, Portland, OR 97214, USA)

Abstract

We develop a flexible supply and demand equilibrium framework that can be used to develop pricing models to forecast Bitcoin’s price trajectory based on its fixed, inelastic supply and evolving demand dynamics. This approach integrates Bitcoin’s unique monetary attributes with demand drivers such as institutional adoption and long-term holding patterns. Using the April 2024 halving as a baseline, we explore model scenarios with varying assumptions about growth in adoption and supply-side constraints, calibrated to real-world data. Our findings indicate that institutional and sovereign accumulation can significantly influence price trajectories, with increasing demand intensifying the impact of Bitcoin’s constrained liquidity. Forecasts suggest that modest withdrawals from liquid supply to strategic reserves could lead to substantial price appreciation over the medium term, while higher withdrawal levels may induce volatility due to supply scarcity. These results highlight Bitcoin’s potential as a long-term investment and underline the importance of integrating economic fundamentals into forward-looking portfolio strategies. Our framework provides flexibility for testing different market scenarios, demand curve functional forms, and parameterizations, offering a tool for investors and policymakers considering Bitcoin’s role as a strategic asset. By advancing a fundamentals-based approach, this study contributes to the broader understanding of how Bitcoin’s supply–demand dynamics influence market behavior.

Suggested Citation

  • Murray A. Rudd & Dennis Porter, 2025. "A Supply and Demand Framework for Bitcoin Price Forecasting," JRFM, MDPI, vol. 18(2), pages 1-23, January.
    • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:2:p:66-:d:1580236
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    References listed on IDEAS

    as
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    2. Stefano Martinazzi & Andrea Flori, 2020. "The evolving topology of the Lightning Network: Centralization, efficiency, robustness, synchronization, and anonymity," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-18, January.
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