From debt thesis
to portfolio signal
We start from a structural view: the debt burden forces policy toward financial repression. From there we measure growth, inflation, and liquidity to classify the macro regime and generate a systematic portfolio allocation with a built-in momentum safety layer.
Measure economic growth
Independent pillars capture different dimensions of economic health — financial conditions, business investment and capex decisions, input acquisition signals, production activity, and distribution and trade flows. In a debt refinancing economy, growth is the variable that determines whether the debt burden is sustainable or self-compounding. Each pillar aggregates multiple indicators into a single composite that reads positive during expansion and negative during contraction.
Indicators within each pillar are grouped by data frequency to prevent high-frequency series from dominating the signal. By blending slow-moving fundamentals with faster market-implied signals, the growth composite responds quickly to turning points without overreacting to noise.
Track inflation momentum
Inflation channels monitor both realized price pressures and forward-looking market expectations. Rather than measuring the level of inflation, the system tracks acceleration — whether inflationary forces are building or fading across demand pressure, pipeline costs, monetary conditions, expectations, import prices, and services inflation.
Each channel isolates a distinct transmission mechanism — from excess demand and producer costs to monetary policy stance and sticky services prices. The result is a composite that turns positive when inflation is accelerating and negative when it is cooling.
Gauge global liquidity
Liquidity pillars track the flow of money through the global financial system: central bank balance sheets, private sector credit creation, cross-border FX credit, and shadow banking and non-bank financial activity. In a world where governments must refinance trillions continuously, liquidity is the transmission mechanism — it determines whether policy is successfully suppressing real rates or losing control.
The system measures the rate of change across each pillar — whether the global money supply is expanding or contracting at the margin. This impulse signal is critical: expanding liquidity confirms the reflationary policy path and gives a tailwind to risk assets and hard-asset hedges alike. Contracting liquidity signals that the refinancing environment is tightening.
Classify the macro regime
The growth and inflation composites interact to classify the macro environment into one of four regimes. The liquidity state then acts as a modifier, creating eight distinct market conditions that each call for a different portfolio posture.
Strong growth, low inflation
Growth with rising inflation
Weak growth, high inflation
Weak growth, falling inflation
Apply volatility-adjusted momentum
Before capital is deployed, each asset passes through a volatility-adjusted momentum filter. This measures risk-adjusted returns across multiple timeframes — short, medium, and long — and combines them into a single score.
When an asset's momentum score turns negative, its allocation is automatically scaled back and moved to cash. This acts as a circuit breaker: the regime may call for a position, but if the asset is in freefall, the system steps aside until conditions stabilize. It adds a layer of tactical safety on top of the strategic regime allocation.
Generate the portfolio signal
The portfolio starts from a structural core: gold as an inflation and debasement hedge, and bitcoin as a high-beta liquidity amplifier. These are not tactical trades that rotate in and out — they reflect the structural direction of monetary policy in a debt refinancing economy. The regime then tilts remaining exposure: growth equity when conditions align, commodities in inflation, defensive cash when liquidity contracts.
The result is a daily portfolio signal: exact asset weights, updated as the macro environment evolves. No discretionary overrides, no narrative bias — just a systematic translation of the debt thesis and macro data into portfolio positioning.
See the system in action
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