Hedge Fund Execution Manual

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Exhaustive Master Table of Contents (1,500-page Equivalent)

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> Mega-Module 1 - The Global Macro, Micro & Geopolitical Engine

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> 1.1 The World Order (2026-2036)

> 1.1.1 De-dollarization ledger: track settlement rails, not headlines

> 1.1.2 AI data center energy demand: model load growth as a market shock input

> 1.1.3 Sovereign commodity hoarding: convert policy statements into inventory risk states

> 1.1.4 Political fragmentation: map governance risk to cross-asset correlation regimes

> 1.1.5 Sanctions and counter-sanctions: price discovery distortion mapping

> 1.1.6 Shipping and logistics constraints: quantify friction as effective risk premium

> 1.1.7 Fiscal dominance creep: detect when rates stop pricing inflation risk

> 1.1.8 Central bank reaction function drift: regime-switch detection logic

> 1.1.9 Industrial policy and capex cycles: link to growth/earnings revisions

> 1.1.10 Housing and credit transmission under fragmentation

> 1.1.11 Energy transition bottlenecks: map physical constraints to term structure

> 1.1.12 Capital controls: classify “soft” vs “hard” and measure liquidity impact

> 1.1.13 Sovereign risk transfer: CDS basis behavior under stress

> 1.1.14 Commodity currency baskets: build regime-specific FX sensitivity

> 1.1.15 Volatility-of-volatility regime: forecast “risk appetite” shifts

> 1.1.16 Regime map construction: define states with measurable signals

> 1.2 Capital Flows

> 1.2.1 Forex flow tracking: build a consistent data pipeline

> 1.2.2 Global liquidity: measure credit impulse proxies

> 1.2.3 Fed/ECB/PBOC balance sheet mechanics: translate into tradable signals

> 1.2.4 Institutional money velocity: infer from positioning + spreads

> 1.2.5 Cross-market liquidity: equity - rates - FX coupling maps

> 1.2.6 Funding stress indicators: repo, basis, and collateral haircuts

> 1.2.7 Risk-on/risk-off “throttle” model: quantify the gating variable

> 1.2.8 Flow-driven factor rotation: detect when value/momentum flips

> 1.2.9 Hedging demand: how options activity shifts realized correlation

> 1.2.10 Treasury auction and term premium drift detection

> 1.2.11 EM capital flow regimes: define investable risk states

> 1.2.12 Liquidity shock backtests: avoid survivorship bias

> 1.2.13 Flow-to-vol bridge: forecast volatility from flow imbalances

> 1.2.14 Build a cross-asset “flow tensor” for execution gating

> 1.2.15 Signal normalization across jurisdictions

> 1.2.16 Execution impact: spreads widen; rebalance thresholds must adapt

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