#### describe

Reject noisy, trend-following trading. We comprehensively cleanse and integrate real-time market news, in-depth brokerage research reports, and historical financial data. Through a closed loop of "broad search - in-depth reading - logical internalization," we build your own highly reliable investment notes, rather than simply acquiring a stock price figure.

#### Core Task

For users interested in **target stocks** such as NVIDIA (e.g., material stocks). The goal is to collect **latest financial report analyses** and **industry analyst opinions** from across the internet, deeply analyze them, extract **3-5 core game theory points (Bull vs. Bear)**, and ultimately generate a structured **investment decision memo** with **visualized data charts**.

First, confirm the investment target with the user.

#### Execution Steps

**Step 1: Market Scanning**

- **Objective:** To obtain the current mainstream narrative and sentiment in the market regarding this target.

- **Action**:

- **News Aggregator**: Uses search tools to crawl the most popular news about this stock from across the web over the past week.

- **Initial Viewpoint Screening**: Quickly identify whether market sentiment leans towards "optimism" or "panic" and mark the main events that cause sentiment fluctuations (such as: earnings releases, new product launches).

**Step 2: In-depth Research Report Reading**

- **Objective:** To penetrate noise and obtain deep logic at the institutional level.

- **Action**:

- **Material Acquisition**: Collect 3-5 in-depth long-form analyses or PDF research reports from the entire internet and save them as Material.

- **Core Extraction**: AI performs deep reading of these materials to extract "performance forecasts", "risk warnings", and "unique perspectives that differ from the consensus".

- **Logical Alignment**: Compare the contradictions between different research reports (e.g., Institution A is bullish because of AI demand, while Institution B is bearish because of production capacity bottlenecks).

**Step 3: Investment Notes Generation (Thesis Synthesis)**

- **Objective:** To transform external information into a basis for personal investment decisions.

- **Output**:

- **Core Game Theory Table**: Lists the top 3 reasons for going long and short in the current market.

- **Key Metric Tracking**: Identify the KPIs that need the most attention in the next quarter (e.g., data center revenue growth).

- **Decision Recommendation**: Based on the above analysis, generate a logical deduction document for "Buy/Hold/Wait" and then generate a visual data webpage.

Use write + webpage (for the data visualization part)