Investment memo
Instructions
#### Description
Reject noise trading driven by market herd mentality. Perform comprehensive cleansing and integration of real-time market news, in-depth brokerage research reports, and historical financial data. Through a closed-loop process of "broad search → deep reading → logic internalization," build your own high-conviction investment notes—rather than merely obtaining a stock price number.
#### Core Task
For the **"Target Stock" $material (e.g., NVIDIA)** that the user is focused on. Goal: Collect **"Latest Earnings Analysis"** and **"Industry Analyst Perspectives"** from across the web, conduct deep reading to extract **3-5 key points of contention (Bull vs Bear)**, and ultimately generate a structured **"Investment Decision Memo"** with **visual data charts**.
Confirm the investment target with the user first.
#### Execution Steps
**Step 1: Broad Market Scanning**
- **Objective**: Capture the market's prevailing narratives and sentiment toward the target.
- **Actions**:
- **News Aggregation**: Use the Search tool to crawl high-engagement news about the stock from the past week across the web.
- **Sentiment Screening**: Quickly identify whether market sentiment leans "bullish" or "fearful," and flag the main events driving sentiment fluctuations (e.g., earnings release, new product launch).
**Step 2: Deep Research Report Reading**
- **Objective**: Cut through the noise to obtain institutional-grade analytical logic.
- **Actions**:
- **Material Acquisition**: Collect 3-5 in-depth long-form analyses or PDF research reports from across the web, and Save them as Materials.
- **Core Extraction**: AI conducts deep reading of these materials, distilling "earnings forecasts," "risk warnings," and "unique perspectives that differ from consensus."
- **Logic Alignment**: Compare contradictions between different research reports (e.g., Firm A is bullish due to AI demand; Firm B is bearish due to capacity bottlenecks).
**Step 3: Investment Note Generation (Thesis Synthesis)**
- **Objective**: Transform external information into personal investment decision criteria.
- **Output**:
- **Key Thesis Table**: List the Top 3 reasons for the current market's bull and bear cases.
- **Key Metrics Tracking**: Flag the KPIs most critical to monitor next quarter (e.g., data center revenue growth rate).
- **Decision Recommendation**: Based on the above analysis, generate a logic-driven document with "Buy/Hold/Watch" recommendations.
then create a visual data webpage for data presentation.
Description
Recommended by
nene@YouMind
Why we love this skill
Cut through market noise and build high-conviction investment memos. This skill goes beyond simple stock prices, deeply analyzing real-time news, brokerage reports, and financial data. It extracts key bull vs. bear arguments and generates structured investment decisions with visual charts, empowering you to make informed choices for your target stocks.
Transform raw market data into high-conviction investment notes. Get deep analysis, bull/bear cases, and clear recommendations with visual charts, helping you make informed decisions.
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Investment memo
Instructions
#### Description
Reject noise trading driven by market herd mentality. Perform comprehensive cleansing and integration of real-time market news, in-depth brokerage research reports, and historical financial data. Through a closed-loop process of "broad search → deep reading → logic internalization," build your own high-conviction investment notes—rather than merely obtaining a stock price number.
#### Core Task
For the **"Target Stock" $material (e.g., NVIDIA)** that the user is focused on. Goal: Collect **"Latest Earnings Analysis"** and **"Industry Analyst Perspectives"** from across the web, conduct deep reading to extract **3-5 key points of contention (Bull vs Bear)**, and ultimately generate a structured **"Investment Decision Memo"** with **visual data charts**.
Confirm the investment target with the user first.
#### Execution Steps
**Step 1: Broad Market Scanning**
- **Objective**: Capture the market's prevailing narratives and sentiment toward the target.
- **Actions**:
- **News Aggregation**: Use the Search tool to crawl high-engagement news about the stock from the past week across the web.
- **Sentiment Screening**: Quickly identify whether market sentiment leans "bullish" or "fearful," and flag the main events driving sentiment fluctuations (e.g., earnings release, new product launch).
**Step 2: Deep Research Report Reading**
- **Objective**: Cut through the noise to obtain institutional-grade analytical logic.
- **Actions**:
- **Material Acquisition**: Collect 3-5 in-depth long-form analyses or PDF research reports from across the web, and Save them as Materials.
- **Core Extraction**: AI conducts deep reading of these materials, distilling "earnings forecasts," "risk warnings," and "unique perspectives that differ from consensus."
- **Logic Alignment**: Compare contradictions between different research reports (e.g., Firm A is bullish due to AI demand; Firm B is bearish due to capacity bottlenecks).
**Step 3: Investment Note Generation (Thesis Synthesis)**
- **Objective**: Transform external information into personal investment decision criteria.
- **Output**:
- **Key Thesis Table**: List the Top 3 reasons for the current market's bull and bear cases.
- **Key Metrics Tracking**: Flag the KPIs most critical to monitor next quarter (e.g., data center revenue growth rate).
- **Decision Recommendation**: Based on the above analysis, generate a logic-driven document with "Buy/Hold/Watch" recommendations.
then create a visual data webpage for data presentation.
Description
Recommended by
nene@YouMind
Why we love this skill
Cut through market noise and build high-conviction investment memos. This skill goes beyond simple stock prices, deeply analyzing real-time news, brokerage reports, and financial data. It extracts key bull vs. bear arguments and generates structured investment decisions with visual charts, empowering you to make informed choices for your target stocks.
Transform raw market data into high-conviction investment notes. Get deep analysis, bull/bear cases, and clear recommendations with visual charts, helping you make informed decisions.
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View allWriteAmazon Copywriting Master
Generates, rewrites, and quality-checks Amazon Listings: first maps buyer intent and keywords, then writes according to the latest title guidelines, and finally revises through six quality gates—CDQ, A9, COSMO, Alexa visibility, compliance, and title phrasing.
WritePlant Scent Decoding · WeChat
Enter a plant name to search online for its aromatic chemical compounds and generate a WeChat article in a hand-drawn natural-history style, with a watercolor plant illustration for each section, aimed at the general science-loving audience.
WriteFirst Principles Writing
Turn an idea, a sentence, a collection of scattered thoughts, or an existing article into a complete, readable, publishable piece. The backend uses first-principles reasoning, while the front end uses a two-pass writing mechanism: the first pass makes the article work (logic, structure, emotional stance, concrete material), and the second pass specifically removes AI writing habits. The de-AI rules are strictly enforced: no aphorisms, no over-structuring, no forced elevation; better plain and accurate than polished and empty. The author's original voice is preserved, and the tool does not fabricate experiences or emotions for the author.
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