Global Liquidity Shift Indicator: Analyzing Bitcoin's Macro Trends

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Overview

This innovative indicator tracks worldwide liquidity by compiling M2 money supply data from 21 major economies, presenting the information in USD terms. Traders can temporally adjust the data (forward/backward by 0-24 months) to examine its relationship with cryptocurrency markets—particularly Bitcoin's price movements.


Key Features

Supported Economies

RegionIncluded Countries
North AmericaUS, Canada
EuropeEurozone, UK, Switzerland, Russia
AsiaChina, Japan, India, Singapore
Latin AmericaBrazil, Mexico, Colombia
Other RegionsUAE, South Africa, New Zealand

Theoretical Foundation

Research by Lyn Alden (2024) demonstrates Bitcoin's unique 83% correlation with global liquidity trends—outperforming all traditional asset classes in responsiveness to monetary conditions. This establishes BTC as the premier liquidity barometer among investable assets.

👉 Discover how liquidity impacts crypto markets


Practical Application

  1. Chart Integration: Add the indicator to your trading platform
  2. Parameter Adjustment: Set forward/backward shift (0-24 months)
  3. Correlation Analysis: Compare aligned liquidity data with:

    • Bitcoin price action
    • Altcoin market caps
    • Traditional risk assets

Interpretation Guidelines


FAQ Section

Q: Why USD-denominated M2?
A: This accounts for both money supply changes and currency valuation effects, creating a true global benchmark.

Q: Optimal shift period for Bitcoin?
A: Empirical testing suggests 3-6 month forward shift often shows strongest correlation.

Q: Can this predict price tops/bottoms?
A: While not predictive, it identifies high-probability environments for trend continuations.

Q: Frequency of data updates?
A: Monthly, following central bank reporting schedules.


Important Notes

For deeper analysis methods:
👉 Advanced liquidity analysis techniques


Data Methodology Note:
All figures converted to USD using end-of-period exchange rates. Source data from respective central banks and statistical agencies.