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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View allVertical 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.
Knowledge Systematization Engine: An Automated Packaging System from Resources to Skills
This feature transforms any knowledge content (books, courses, methodologies, notes) into a reusable knowledge system. It supports three core capabilities: 1) Encapsulating knowledge from scratch into a Framework manual or Prompt assistant document; 2) Transforming Framework/Prompt documents into a Skill directory structure; 3) Optionally allowing skill creators to register Skill directories as truly callable Skills. It is triggered when users mention the following scenarios: encapsulating knowledge, building a knowledge base, creating a Framework, creating an expert assistant, creating a Prompt assistant, creating a conversational robot, using Engine A, using Engine B, organizing this methodology into something reusable, teaching AI my knowledge, turning a Framework into a Skill, turning a Prompt into a Skill, Skillification, transforming into a Skill, how to make Claude automatically call my methodology, wanting to integrate my knowledge base into a Skill system. It also applies to vague expressions: I have a lot of materials I want to turn into reusable knowledge assets; I don't want to repeatedly explain them; help me solidify them into a system; how can this methodology be automatically matched; turn this .md file into a Skill. Even if the user does not explicitly mention "encapsulation" or "skill", this skill will be triggered as long as the essence of the problem is "turning knowledge into a reusable system".
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A smart research topic selection assistant designed specifically for social science researchers. Whether you only have a vague research idea or already have a preliminary framework, this skill uses a five-step progressive approach to help you refine your research unit, generate research dimensions, match cutting-edge theories, recommend innovative methods, and preset research viewpoints, ultimately outputting a complete research topic proposal that meets CSSCI/core journal standards. Making topic selection easier and publication more assured.
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