asset-allocation

Portfolio allocation frameworks like MPT and risk budgeting allow you to spread capital across asset classes based on mathematical optimization. They construct target portfolios by balancing expected returns against calculated risk metrics.

The best way to implement risk budgeting is to configure the dedicated built-in optimizer, which allocates risk contributions across various assets rather than capital, ensuring each asset class contributes a defined amount of portfolio risk.

Yes, you can use MPT and all-weather strategies for production portfolio rebalancing. The framework provides rule-guidance and operational advice to configure optimizers and execute backtests before live trading system deployment.

You can configure portfolio optimization rules for backtesting by setting up the built-in optimizers with your desired multi-asset parameters, applying rebalancing rules, and running historical simulations to validate production deployment.

No, portfolio rebalancing does not require external dependencies to run. The framework operates independently with its four built-in optimizers to process configuration-driven requirements and generate target allocations.