investment-analyst

You can perform a full stock analysis by running the `/invest deep [ticker]` command, which sources real-time market data via scripts like `market_data.py` and evaluates fundamental, technical, and macroeconomic signals to produce comprehensive investment reports.

Scenario modeling handles bear-case evaluation and exit strategies by providing structured research frameworks and templates that guide systematic risk assessment, phase evaluation, and disciplined portfolio management to minimize emotional biases.

Yes, you need Python data libraries like pandas and numpy for market research workflows, as the Skill utilizes these dependencies within scripts like `macro_data.py` to fetch, process, and synthesize complex financial data into actionable insights.

The best way to analyze macro trends and risk factors is using structured guidelines that evaluate macroeconomic data and bear-case scenarios, ensuring disciplined portfolio management and improved timing while minimizing emotional biases.

Yes, you can use this approach for opportunistic scanning and valuation modeling, as it provides structured templates for evaluating a stock’s intrinsic value, assessing technical momentum, and scanning for investment opportunities.