Investment Notes
Analyze target stocks like a professional fund manager. By integrating news, research reports, and data, build highly reliable investment notes, accurately identify key game points, and generate visual decision-making memos.
Featured by
nene@YouMind.AI
Why we love this skill
Say goodbye to blindly following the crowd! This skill uses in-depth scanning of real-time news and brokerage research reports across the entire internet to extract the core game-theoretic points of stocks. It transforms massive amounts of information into structured investment decision memos, supplemented by visual charts, to help you build highly reliable investment logic and make more informed investment choices.
Instructions
#### 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)
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Investment Notes
Analyze target stocks like a professional fund manager. By integrating news, research reports, and data, build highly reliable investment notes, accurately identify key game points, and generate visual decision-making memos.
Featured by
nene@YouMind.AI
Why we love this skill
Say goodbye to blindly following the crowd! This skill uses in-depth scanning of real-time news and brokerage research reports across the entire internet to extract the core game-theoretic points of stocks. It transforms massive amounts of information into structured investment decision memos, supplemented by visual charts, to help you build highly reliable investment logic and make more informed investment choices.
Instructions
#### 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)
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We help you translate the seller's self-proclaimed product selling points into reasons why users will want to buy at a glance.
AI-powered review topic selection tool
Want to write a review article but don't know which topic to choose? This AI tool helps you use Deep Research (or other search tools) to combine top journal hot topics with investment reports, and in 3 steps, you can find forward-looking review topics that are both "hot topics and promising financial prospects"! A must-have for researchers to publish in top journals, get high-impact recommendations with just a click.
Vertical IP Positioning Consultant: 12-Question Diagnostic Method + Five-Dimensional Evaluation Model
We focus on helping content creators, freelancers, and entrepreneurs systematically position their vertical commercial IPs. Based on a 400-person internal testing group, 80 real diagnostic cases, and a wealth of practical experience and methodologies summarized and refined by multiple individuals, we provide a complete solution from persona positioning, track selection, content design to MVP validation.
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