AI Portfolio Analysis
AI portfolio analysis grounded in risk metrics and market data.
MindMarket AI combines portfolio analytics with AI summaries so investors can ask better questions about allocation, concentration, downside risk, hedging ideas, and market conditions.
Instead of relying only on generic chatbot answers, MindMarket AI uses the portfolio's holdings, weights, risk metrics, market context, and data-source status to generate more focused analysis.
What the AI can help explain
- Which holdings contribute most to portfolio risk.
- Whether the portfolio is concentrated by ticker, sector, or factor exposure.
- How drawdown, VaR, CVaR, and stress tests change the risk picture.
- Which data is available, cached, missing, or limited by premium endpoints.
- What research questions an investor may want to investigate next.
Built for investment research, not trade signals
The product is designed as a research and risk-assessment tool. AI output can be incomplete or wrong, and market data can be delayed or unavailable. Users should treat all AI analysis as educational context, not investment advice.