Stock Forecast

**Judgement:** A well-scoped, useful skill for adding structured third-party forecasts and "Should I buy?" style analysis to US stocks, ETFs, and some crypto assets. It is best treated as an additional signal, not a standalone trading system. **Strengths:** - Delivers concrete yearly predictions (2026–2035) per symbol plus current price context. - Provides a rich, structured decision helper (conclusion, action type, catalysts, technical and analyst views). - Documentation is clear, with ready-to-use prompts and cURL/Python examples. **Key Risks / Limitations:** - Forecasts and “Should I buy?” outputs may be perceived as investment advice despite disclaimers; the assistant must reinforce that it is informational only. - Data is not guaranteed real-time and may be delayed; unsuitable for intraday or execution-critical decisions. - One-symbol-per-request design limits large-batch screening workflows. **Recommended Scenarios:** - Retail users or learners asking for an extra quantitative/qualitative perspective on a specific ticker (e.g., "Should I buy AAPL? Use Intellectia."). - Long-term planning or educational discussions where approximate forecasts and structured rationales are helpful. - Supplementing the model’s own neutral, diversified finance guidance with clearly-labeled third-party analytics, while repeatedly reminding users this is not personalized financial advice.