Stock Theme Radar

The Problem: Overwhelming Stock Theme Information and Hype Traps

In the A-share market, investors often grapple with a flood of theme and event information, struggling to distinguish between fundamentally sound logic and short-term emotional hype. Traditional research methods are time-consuming and prone to noise, leading to poor decision-making. Stock Theme Radar addresses this by providing structured research analysis, enabling investors to quickly grasp the essence of themes and avoid blind following.

Core Capabilities and Workflow

The skill operates via a dual-mode automatic routing system:

• Mode A: Theme Tracking: When users provide a specific theme name (e.g., "low-altitude economy"), it executes a theme profiling process. It starts by clarifying boundaries to ensure precise understanding (e.g., differentiating AI computing power from AI applications). Then, it performs web searches for the latest information, generating a tracking card with six sections: one-sentence definition, driving factors, related stocks, key sources, recent dynamics, and tracking suggestions. Related stocks are annotated with evidence strength levels like hard logic or pure theme association.

• Mode B: Event Mapping: When users offer news, events, or screenshots, it initiates an event mapping workflow. The core is three-layer transmission reasoning: the first layer analyzes direct impacts, the second layer infers transmission to prices or supply-demand, and the third layer determines A-share trading logic. For instance, a policy news piece would first affect industries, then reason through supply chain transmission, and finally screen related stocks with probability rankings.

Key steps include:

1. Web Connectivity Check First: Automatically detects web search tools; terminates immediately if unavailable to avoid outdated information.
2. Source Annotation and No Fabrication: Each fact is tagged with source types (e.g., official announcements), and unconfirmed content is marked "no reliable information."
3. Evidence Strength System: Each stock is assigned one of five strength levels, such as policy-driven or supply-demand transmission, helping users understand logic robustness.

Applicability Boundaries and Caveats

The skill focuses solely on theme research and does not provide real-time quotes, precise buy-sell points, or investment advice. It suits A-share theme profiling, event-to-stock mapping, and hotspot rotation analysis. Key caveats:

• Web Connectivity Required: Relies on real-time searches; terminates without web access.
• Not Investment Advice: Output is for reference only and not a trading basis.
• Exception Handling: Clarifies vague themes, annotates gaps when information is insufficient, ensuring rigorous analysis.

Through this structured approach, the skill aids investors in maintaining clarity in complex markets, emphasizing logic over noise.