Stock Index Expert

Problem

Index discussions often blur together: individual stocks, sectors, macro policy, and short-term price action get mixed into the same answer. When a user asks, “How should I think about AI indices?” a generic response may lack a stable analytical frame. stock-index-expert keeps the discussion at the index level and applies several investor frameworks to the same theme instead of recommending individual stocks or predicting price moves.

How It Works

• Three-level routing: first match feature signals such as dividends, innovative drugs, semiconductors, or cyclical assets; then fall back to semantic judgment; finally activate one or two frameworks based on the user’s specified comparison or analyst choice.
• Depth control: the default L1 mode stays concise, usually under 400 characters, and delivers one analyst perspective, a risk note, and index recommendations. L2 adds a second perspective, while L3 provides a broader multi-framework view when explicitly requested.
• Output constraints: it recommends indices rather than portfolios or individual stocks, avoids fabricating quotes, and labels factual claims according to source confidence.
• Profile memory: it persists risk preference, time horizon, and familiarity level across sessions, adjusting wording and terminology without changing the core conclusion.

Boundaries

It is useful for index theme synthesis, methodology comparison, news linkage, and switching expression styles. It is not suitable for real-time quotes, price prediction, specific fund recommendations, or making investment decisions for the user. When data cannot be verified, it should disclose knowledge cutoffs or point to official index sources.