Video summary
Global Liquidity Has Peaked: What Happens to Bitcoin? | Michael Howell
Main summary
Key takeaways
Macro / Liquidity Thesis (Core Framework)
- “Liquidity drives markets.” Money flows into and out of financial markets determine asset prices, and economics and geopolitics follow with an “echo” effect later.
- The liquidity cycle is framed as central-bank-driven:
- Central banks ease policy to inject liquidity—primarily to stabilize refinancing and bail out the financial system/banks, rather than directly “revive activity.”
- Liquidity is fungible and spills into risk assets, including corporate bonds, equities, Bitcoin, and gold → “everything bubble.”
- When real-economy momentum rises, it pulls/sucks liquidity back out of financial markets → liquidity-sensitive assets struggle.
Debt / Refinancing Mechanics Behind Financial Crises
- Western credit markets are described as collateralized:
- About 70–80% of lending is said to be collateral-based.
- “Collateral is old debt”: lenders rely on liquid government bonds (e.g., Treasuries, Gilts/“GeiIltd-edge”-style securities) as collateral.
- Therefore, default is portrayed as difficult to allow without breaking the credit system; central banks instead provide liquidity so refinancing continues.
- Crises are described as refinancing breakdown cascades:
- Debt liquidity ratio threshold: crisis risk increases when this ratio is around 200–230
- long-run “stability” near 200; above it → crisis risk.
- Debt maturity wall: refinancing needs rise again after periods of refinancing/terming out; annual debt rollover increases into/after 2025.
- Debt liquidity ratio threshold: crisis risk increases when this ratio is around 200–230
Global Liquidity Cycle Timing and Implications
How the cycle is measured
- The global liquidity cycle is measured as the rate of change of liquidity (not the level).
Historical backtest & model validation
- Backtest uses data since 1965 across ~90 economies, with ~30 series per country.
- A projected cycle (estimated using Fourier analysis in 2000–2005) is reported as validated by the Foundation for the Study of Cycles:
- about 65 months timing window
- “unchanged” structure.
Reported cycle points
- Liquidity peaked: end of Q3 last year (relative to their recording).
- Liquidity bottomed: September 2022.
- Next liquidity bottom: sometime in 2027, likely 2H 2027.
Crypto linkage
- A “6-week change” liquidity signal is used to reduce noise and is described as predictive for crypto at a longer horizon:
- advanced ~3 months / 13 weeks
- Crypto basket index defined:
- BTC 60% / ETH 30% / SOL 10% (“BEES U”)
- Reported correlation metrics:
- correlation about 0.55+
- R-squared > 0.3
- Interpretation:
- Sluggishness in crypto prices is consistent with slowing liquidity.
Gold linkage / China
- China’s liquidity (via PBOC) is argued to influence gold, with about a 2.5-month lead/lag.
- “Great debasement” trade is questioned:
- claim: Western monetization/debasement “hasn’t happened yet,” while China is doing more now.
- Constraints / flows:
- Capital controls limit money leaving China.
- Crypto is portrayed as illegal in China, pushing some inflows toward precious metals (notably gold).
- Macro/geopolitical trigger:
- During “tensions in Iran,” China is said to have “hit the brakes” on liquidity to reduce oil imports; liquidity injections resume around the time of the “deal”/agreement.
Bitcoin / Gold / “What Happens Next?”
- Long-term bullish on Bitcoin, but emphasizes cycle risk:
- cycles can ignore long-term trends; Bitcoin could still end the year lower than today even if it rises over the next few years.
- Near-term approach (high level):
- Watch gold for confirmation on whether the China liquidity brake persists or reverses.
- Avoid being an “aggressive buyer right here” if liquidity is rolling over.
- Explicit caution:
- “Don’t try and catch a falling knife.”
- Expectation:
- Bitcoin and gold are expected to improve in the medium term (after liquidity bottoms), but timing uncertainty is stressed.
US Rates / Tightening Regime (Risk Backdrop for Equities/Crypto)
Key macro claim
- Two “most important prices” are described as:
- oil price
- US Treasury yields
- Both are described as suppressed below equilibrium, with yields facing upward pressure.
Rate suppression mechanism
- The US Treasury/Fed are described as intervening heavily in repo markets to keep funding stress down and Treasury yields suppressed.
- Repo is framed as central to collateralized financing (sale & repurchase against assets like Treasury bonds).
- SOFR is referenced via the spread between SOFR rates and the US 2-year Treasury, and a MOVE index / repo crisis framing is mentioned.
Japan analogy
- Japan’s yield curve control stop is used as an analogy:
- when suppression stops, yields can move sharply.
- Reported example:
- 10-year JGB jumped about +200 bps (from ~0.5% to ~2.5%).
US term structure / policy framing
- A chart ties US 10-year yield to nominal GDP growth, implying upward pressure (dotted line = where yields “may end up”).
- 2-year Treasury yield is treated as a strong marker for expected policy rates over the next ~two years.
Explicit Risk Performance Reference (2021–2022)
- The 2021–2022 tightening regime is used as an analogue:
- S&P 500 fell ~25%
- Bitcoin fell ~75%
- Not presented as a prediction of identical drawdowns—more a warning to be careful.
Investment / Asset Allocation Recommendations Mentioned
- Broad long-term “monetary inflation hedge” framing:
- “Buy gold and Bitcoin” is described as sensible (while acknowledging short-horizon cycle risk).
- Diversification/jurisdiction emphasis:
- diversification geographically; note funding risk for some governments.
- Actionable but non-specific:
- no detailed portfolio construction or precise timing rule beyond “wait for stabilization / don’t be aggressive now.”
Disclosures / Disclaimers
- The speaker explicitly says: “I’m not giving recommendations” on specific actions, while still endorsing long-term gold/Bitcoin as sensible in the closing remarks.
Assets / Instruments / Sectors Mentioned
- Bitcoin (BTC)
- Ethereum (ETH)
- Solana (SOL)
- Gold / gold bullion
- Bitcoin ETF exposure (specifically GBTC)
- S&P 500
- US Treasury yields (2-year and 10-year), and US Treasuries
- Repo markets
- SOFR
- MOVE index (referenced alongside repo crisis context)
- Japanese government bonds (JGB, 10-year referenced)
- PBOC liquidity (People’s Bank of China)
- Oil price (implied macro variable)
- General categories: debt, bonds, corporate bonds, equities
Methodology / Step-by-Step Elements Explicitly Shared
Liquidity measurement and cycle construction
- Measure global liquidity as “rate of change”, not the level.
- Use a multi-country dataset:
- ~90 economies
- ~30 series per country
- history since 1965
- Apply a periodic function modeled as a “sine wave” using Fourier analysis from 2000–2005.
- Use “6-week changes” as a higher-frequency liquidity signal to reduce noise.
Crypto prediction linkage
- Build a crypto basket index:
- BTC 60% / ETH 30% / SOL 10%
- Compare crypto 6-week changes to the liquidity series.
- Liquidity is described as advanced about ~13 weeks / 3 months.
- Evaluate predictive strength via reported metrics:
- correlation about 0.55+
- R² > 0.3
Macro rates linkage
- Use the relationship between nominal GDP growth and US 10-year yield with a “risk-adjusted” framing.
- Use 2-year Treasury yield as an indicator of expected policy rates over ~two years.
Presenter / Sources Mentioned
People
- Michael Howell (“liquidity king”)
- Host: Danny
- Prior show guests referenced:
- Luke Groman
- Nick Bartier
- James Lavish
- Jeff Ross
- Kevin Walsh (Fed official referenced)
Organizations
- Philadelphia Fed
- Federal Reserve (Fed)
- People’s Bank of China (PBOC)
- Foundation for the Study of Cycles (US)