Performance without risk context is incomplete.
A systematic futures strategy cannot be evaluated solely through net profit, win rate or another isolated statistic. AEC research considers drawdown, loss distribution, exposure, concentration, strategy interaction and execution assumptions alongside return-oriented measures.
Measure both severity and behavior.
Maximum drawdown provides one historical measure of loss severity, but the number alone does not describe the complete risk path. Duration, recovery time, frequency, clustering and the market conditions surrounding losses can provide additional information about strategy behavior.
Portfolio research should also examine whether drawdowns occur independently or whether multiple components tend to experience losses during the same periods.
Identify concentration beneath the strategy labels.
A portfolio containing multiple strategies is not necessarily diversified. Different models can still depend on similar market behavior, operate during the same session, trade the same instrument or accumulate exposure in the same direction.
Research can therefore examine concentration by market, strategy family, time window, behavioral thesis and directional exposure.
Individual statistics do not automatically describe the portfolio.
Strategies tested independently may compete for entries, overlap positions or generate simultaneous signals when combined. Portfolio construction should evaluate these interactions directly rather than simply adding standalone historical results together.
Correlation is useful but incomplete. Researchers should also examine shared loss periods, overlapping exposure and how portfolio rules change the trades that could actually be taken.
Sizing changes the risk distribution.
Contract size influences both opportunity and loss severity. Research should consider account constraints, market volatility, strategy frequency and acceptable risk rather than assuming historical results can be scaled proportionally without consequence.
Increasing size can also change execution quality and liquidity requirements, particularly for strategies operating over short time horizons.
Portfolio design must remain connected to executable conditions.
Commissions, slippage, liquidity, fill assumptions and order behavior can materially affect systematic futures results. These considerations become increasingly important as trade frequency, simultaneous exposure or position size increases.
Stress testing execution assumptions can help determine whether a portfolio thesis remains viable under less favorable conditions.
Combined risk must be measured directly.
Market-level or strategy-level maximum drawdowns cannot be assumed to equal portfolio maximum drawdown. The timing of gains, losses and overlapping exposure determines the combined equity path.
For the same reason, standalone profit factors, win rates and trade counts should not be transformed into invented portfolio-level statistics without calculating them from the combined underlying record.
Portfolio construction is an ongoing research process.
An accepted portfolio configuration should continue to be evaluated as market behavior and research evidence change. Monitoring can include concentration, drawdown behavior, execution quality, strategy overlap and deterioration in assumptions that originally supported inclusion.
AEC distinguishes historical and simulated research from any actual executed record. Portfolio research is intended to improve decision discipline rather than imply certainty about future outcomes.