Fundamental macro momentum
Rank winners versus losers on a lookback window; works until crowding, reversals, or a regime shift punishes trend followers.
Overview
Fundamental macro momentum sits in the Global Macro chapter of the systematic catalog. On QUSXFI we treat it as a testable hypothesis: specify entries, exits, sizing, and costs—then ask whether edge survives out-of-sample scrutiny.
Discretionary traders often arrive at similar ideas intuitively; the quantitative version forces you to write the rule before you see the next bar. That discipline is what makes results reproducible—or exposes them as luck.
Based on the research catalog 151 Trading Strategies (Kakushadze & Serur, 2018), section 19.2. Educational summary—not a replication of the full formal definition.
Signal and Portfolio Construction
Rebalance cadence, vol scaling, and sector constraints decide whether you run pure trend or a constrained factor portfolio.
Before backtesting Fundamental macro momentum, write the economic hypothesis in one sentence a risk manager would accept or reject.
Implementation and Research Process
Construct Fundamental macro momentum signals at rebalance close, execute at next open (or VWAP)—document the lag; momentum alpha is fragile to timing.
Slice Fundamental macro momentum by vol regime and rate cycle—momentum is conditional, not universal.
Walk-forward or hold-out test Fundamental macro momentum; report turnover, max drawdown, and exposure—not CAGR alone.
Risk: What Breaks This Strategy
Momentum crashes—sharp reversals after crowded trends—are the signature tail risk of Fundamental macro momentum. Factor crowding and ETF flows accelerate the unwind.
Turnover and transaction costs scale with rebalance frequency; what worked gross of fees dies net.
Regime shifts (policy shocks, bear markets) can flip sign on the same lookback parameter that looked brilliant in the prior decade.
Common Mistakes to Avoid
- Skipping crash months in Fundamental macro momentum evaluation because they 'ruin the chart.'
- Deploying Fundamental macro momentum live before paper trading through at least one adverse Global Macro month.
- Reporting Fundamental macro momentum gross returns while capacity binds on the same names every rebalance.
- Changing Fundamental macro momentum parameters after each losing week—implicit discretion destroys reproducibility.
How to Study This Strategy
- Codify Fundamental macro momentum signal, lag, rebalance, and vol-scaling rules without discretionary overrides.
- Run Fundamental macro momentum walk-forward on a liquid universe; export turnover and sector exposures.
- Identify the worst momentum crash month for Fundamental macro momentum in-sample and replay it out-of-sample.
- Simulate Fundamental macro momentum at two participation rates; note where capacity binds.
- Write Fundamental macro momentum failure triggers: drawdown, turnover spike, sign flip on the signal.
Key Takeaways
- Fundamental macro momentum ranks past winners and losers—edge is conditional on trend persistence, not guaranteed by the lookback.
- Rebalance frequency and universe for Fundamental macro momentum drive turnover; gross returns without fees mislead.
- Momentum crashes cluster after crowded trends—include crash months in evaluation, not just CAGR.
- Regime shifts can flip sign on the same parameter that worked in the prior decade.
- Walk-forward Fundamental macro momentum; a single in-sample lookback winner is a research accident until confirmed out-of-sample.
Learning Tip
Change one Fundamental macro momentum parameter at a time; simultaneous tweaks are how researchers lie to themselves.
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