How exactly do M2 and the US dollar affect Bitcoin's price movement? Can we really "avoid the peak" by referring to these two data points?

  • The relationship between Bitcoin's price and M2 money supply/US Dollar Index (DXY) is not linear but conditional, influenced by time lags and market cycles.
  • Bitcoin shows a strong correlation with M2 (0.78 with 84-day lagged M2) and an inverse correlation with DXY (-0.58), but these are only evident in medium-to-long-term trends, not daily movements.
  • Lag effects are critical: Bitcoin yields correlate most with M2 from 6 weeks prior (42 days) and inversely with DXY from 1 month prior (33 days).
  • M2 acts as a slow "gravitational pull" on Bitcoin, taking weeks to impact prices, while DXY functions as a rapid "accelerator" for short-term fluctuations.
  • Correlations can shift dramatically; for example, before a peak in October 2025, Bitcoin correlated highly with M2 (0.89), but after the peak, it reversed to -0.49, while the inverse link to DXY remained stable.
  • Monitoring M2 and DXY trends over 1-3 months, while allowing lag values to fluctuate, is more effective than fixed strategies, especially when M2 and DXY movements conflict.
  • A dynamic approach is recommended: track M2 during dollar stability and focus on DXY pressures during dollar volatility to better capture market signals.
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Author: 区块链骑士

This article represents the views of PANews columnist and does not represent PANews' position or legal liability.

The article and opinions do not constitute investment advice

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