How does the Recommendation Engine generate its suggestions?
The Recommendation Engine evaluates your investor preferences, current portfolio composition, economic signals, and quantitative risk/return models.
Before producing recommendations, it systematically evaluates thousands of potential securities and allocation combinations - testing how each would affect diversification, volatility, downside risk, and expected return under current macro forecasts.
It then ranks changes based on impact (what materially improves the portfolio) and coherence (what aligns with your objectives and constraints). The engine runs continuously and adapts to market conditions, and your portfolio evolves.