A pension CIO watches equities drop 35% in a crisis. Her managed futures allocation gains 18% over the same period. No one predicted the crash. The trend-following models did not need to predict it, they just followed price. That asymmetric payoff is why allocators care about this space.
Macro and managed futures share an umbrella but differ in how trades are generated. The organizing question: who or what decides?
Discretionary managers use human judgment (GDP, inflation, central bank policy, geopolitics) to place directional bets across currencies, rates, equities, and commodities. Soros breaking the Bank of England is the textbook case: a thesis, a catalyst, a conviction-sized position.
Systematic managers use quantitative models. Algorithms generate signals, size positions, and execute. Human intervention is minimal once the model is built. The edge is model construction, not real-time override.
The second axis is fundamental vs technical. Fundamental uses economic data, earnings, and policy; technical uses only price and volume. Discretionary leans fundamental, systematic leans technical, but the axes are independent. Systematic fundamental CTAs and discretionary chartists both exist.
Common mistakes
- Confusing discretionary macro with systematic managed futures. Macro relies on manager judgment; managed futures relies on quantitative models. Macro results depend on thesis accuracy; managed futures results depend on whether trends exist. Trap: attributing trend-following returns to "macro insight" or calling a discretionary FX call a "systematic process."
- Misnaming the three primary macro risks. The curriculum names market risk, event risk, and leverage risk. Trap: answers that substitute "thesis risk," "timing risk," or "policy risk" are wrong even if they sound plausible.
- Misnaming the three ways to access managed futures. The curriculum names public commodity pools, private commodity pools, and individually managed accounts. Trap: answers that list "fund-of-funds, SMA, platform" or "direct CTA allocation" miss the curriculum's specific labels.
Bottom line
- Global macro is discretionary and top-down with three named risks (market, event, leverage); managed futures is systematic and rules-based.
- Discretionary vs systematic (judgment vs models) is a separate axis from fundamental vs technical (economic data vs price/volume).
- Three ways to access managed futures: public commodity pools (retail), private commodity pools (HNW/institutional), and individually managed accounts (investor holds custody).
- Trend following profits from sustained moves in either direction with a positively skewed, long-straddle (long volatility) payoff; RSI fades extremes with the opposite negative skew.
Exam shortcut
When you see "crisis alpha," "long volatility," or a "long-straddle payoff," the answer is trend-following managed futures. Not global macro, not mean reversion, not equity market neutral. When you see "thesis-dependent directional bets across currencies and sovereigns," the answer is discretionary macro. When you see "overfitting" or "out-of-sample testing," the topic is systematic trading. When you see "oscillator, 30/70, oversold/overbought," the answer is RSI (pattern recognition, negative skew).
The full lesson (about 5,480 words, 37 min read) adds 2 worked examples, all 9 common mistakes, a self-check, free in the app.
Learning objectives
- distinguishing
- short selling
- returns allocation
- multistrategy
- research
- indices
- macro overview
- macro
- managed futures
- systematic trading
- trend following
- mf dimensions
- systematic construction
- mf benefits
- mf evidence
- mf fund benefits
- event sources
- activist investing
- activism outcomes
- merger arb
- distressed securities
- event multi special
- rv overview
- convertible arb overview
- convertible arb drivers
- vol arb overview
- vol arb strategies
- fi arb
- rv multistrategy
- equity commonalities
- sources of return
- market anomalies
- anomaly strategies
- equity shorts
- three strategies
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