What Is How AI Portfolio Analysis Works?
AI portfolio analysis uses machine learning and deterministic scoring to evaluate your portfolio's health, risk exposure, and optimization opportunities. Unlike traditional analysis that relies solely on historical returns, AI-powered approaches consider correlation risk, sector concentration, and macro regime context.
Why It Matters
Most investors lose money not from picking bad stocks, but from poor portfolio construction. AI analysis reveals hidden risks like overlapping ETF holdings and tail-risk exposure that traditional metrics miss entirely.
How LyraIQ Approaches This
LyraIQ computes six deterministic signals for every portfolio: health score, concentration risk, fragility index, regime alignment, drawdown estimate, and Monte Carlo framing. Lyra then interprets these scores into actionable recommendations rather than generic advice.
Practical Steps
- Upload or manually enter your portfolio holdings
- Review the DSE-computed health score and risk breakdown
- Check regime alignment to see if your portfolio fits the current market narrative
- Run a stress test against historical scenarios
- Follow Lyra's prioritized recommendations for rebalancing