Finding Multi-Strategy Portfolio Weights from Daily Returns

Summary

The document answers how to allocate weights across strategies in a multi-strategy backtest. Its proposed workflow is to extract each strategy’s daily return series and use an optimization package to find portfolio weights. This frames the task as portfolio optimization over strategy-level returns rather than tuning each strategy’s internal rules.

The response is brief and does not specify an objective function, constraints, estimation window, or how to handle transaction costs and changing correlations. It provides no example calculations or evidence that the resulting weights improve performance. The method therefore identifies a practical starting point, but readers must define the optimization target and validate the allocation out of sample before relying on it.

Key ideas

• Extract daily returns separately for each strategy in the multi-strategy backtest.
• Use an optimization package to calculate allocation weights across those return series.
• The document does not state the objective function or any allocation constraints.
• It gives no validation results, so optimized weights require independent testing.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.