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
Lynne Lau
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
Lynne Lau
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)
Related Skills
View allWhere exactly is AI involved?
Note: This skill is a diagnostic tool, not an automatic rewriting tool. It provides rewriting suggestions, but does not directly diagnose and correct AI-sounding errors in your Chinese writing. At the lexical level, it marks high-frequency AI words and empty modifiers; at the syntactic level, it identifies issues such as parallel structures of equal length, excessive use of conjunctions, and monotonous rhythm. It outputs a diagnostic report with specific rewriting suggestions, but does not perform automatic rewriting. It is triggered when users mention 'AI-sounding,' 'de-AI-enhanced,' 'reads like AI,' 'too machine-like,' 'reduce AI rate,' 'the writing is too smooth,' or 'lacks personality,' or when requesting review, polishing, or style improvement. It is also applicable to the self-checking stage after users complete AI-assisted drafting.
Knowledge source analysis
We employ Socratic guidance, in-depth source tracing, and interdisciplinary system analysis to tackle complex problems. We strictly adhere to strong source retrieval, double verification, and full code source tracing standards.
Email Marketing | Subject Line & Preview Text Writing Assistant
Designed specifically for brand email marketing scenarios, this tool generates English marketing email subject lines and preview texts that conform to industry best practices, based on the email type, brand/product information, and marketing objectives provided by the user. Adhering to a length standard of 6-9 words/30-60 characters, it employs a formula of Recognition Cue + Core Message + One Motivator to ensure synergy between subject identification and motivational supplementation. It is suitable for various marketing email scenarios for DTC brands and e-commerce platforms.
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