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    AI Stock Research & Due Diligence Analyst

    1

    Automate fundamental equity research with source-traceable due diligence, financial analysis, and valuation modeling.

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    AI Stock Research & Due Diligence Analyst

    AI Stock Research & Due Diligence Analyst

    Example session with this skill installed

    Perform a quick screen on NVIDIA (NVDA) focused on their recent revenue growth, margins, and potential accounting or valuation risks.

    • Read your context and instructions
    • Compiled the ai stock research

    I have completed a fundamental quick screen for NVIDIA Corp (NVDA) based on recent regulatory filings and earnings disclosures.

    Quick Screen: NVIDIA Corp (NVDA)

    Research Date: 2024-05-24
    Security: NASDAQ: NVDA
    Currency: USD
    Evidence Confidence: High

    1. Business Model & Revenue Trend

    NVIDIA designs and sells GPU-based accelerated computing platforms. Revenue is currently dominated by the Data Center segment (AI training and inference), with secondary contributions from Gaming, Professional Visualization, and Auto. Recent quarters show triple-digit year-over-year revenue growth driven by the H100/H200 product cycles.

    2. Profitability and Cash Flow

    MetricLatest Period (Q1 FY25)Prior Year (Q1 FY24)
    Revenue$26.04B$7.19B
    Gross Margin78.4%64.6%
    Operating Margin64.9%29.8%
    Free Cash Flow (FCF)$14.94B$2.64B

    Margins have expanded significantly due to favorable product mix and pricing power in the data center space. FCF conversion remains high, tracking closely with net income growth.

    3. Financial Health & Liquidity

    • Cash and Investments: $31.4B
    • Total Debt: $9.7B (mostly long-term notes)
    • Net Debt: Negative $21.7B (Strong net cash position)
    • Inventory: Growing, but currently trailing sales growth, suggesting high demand.

    4. Risk Factors

    • Valuation: Trading at high forward P/E and EV/EBITDA multiples relative to historical averages.
    • Concentration: Significant reliance on a small number of Cloud Service Providers (CSPs).
    • Geopolitical: Export restrictions to specific regions (China) impact the addressable market for high-end chips.

    5. Summary Thesis

    Bull Case: Continued AI infrastructure build-out; software (CUDA) moat remains impenetrable; expansion into sovereign AI.
    Bear Case: Cyclical peak in GPU demand; emergence of competitive ASICs from big tech customers; valuation contraction if growth slows to double digits.

    Next steps

    1. Review the full "Risk Factors" section in the latest 10-Q regarding export controls.
    2. Compare R&D spend as a percentage of revenue against AMD and Intel to assess competitive reinvestment.
    3. Model FCF sensitivity to a 10% decline in Data Center gross margins.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Manually researching a public company is a slow, error-prone process of hunting through 10-K filings and earnings transcripts. This skill automates the fundamental analysis workflow, producing rigorous, source-traceable equity research dossiers. It systematically investigates business models, financial health, governance, and valuation scenarios while strictly separating reported facts from analytical judgment.

    What it does

    • Entity verification confirms tickers, exchanges, share classes, and reporting currencies to avoid analysis collisions.
    • Financial diligence builds multi-period views of income statements, balance sheets, and cash flows with calculated ratios like ROIC and FCF conversion.
    • Earnings quality review flags potential accounting risks, such as capitalized costs, unusual tax benefits, or receivables growing faster than sales.
    • Competitive positioning assesses moats, pricing power, and market structure against comparable peers.
    • Valuation modeling applies multiple methods including DCF, EV/EBITDA, and FCF yield across bull, base, and bear scenarios.
    • Risk registration maps business, liquidity, and geopolitical threats to specific "thesis breakers" for ongoing monitoring.

    How it works

    1. Provide a company name or ticker and specify if you need a full due-diligence report or a quick screen.
    2. The analyst identifies the legal entity and builds a source register from regulatory filings and official releases.
    3. It performs a deep dive into the business model, industry structure, and management execution.
    4. The skill generates a structured report containing financial tables, valuation sensitivities, and a monitoring plan.

    Frameworks & tools

    This skill utilizes fundamental equity research principles and standard accounting frameworks (GAAP/IFRS). It relies on regulatory filings, earnings transcripts, and official investor relations disclosures.

    Why this beats prompting it yourself

    Generic prompts often lead to "hallucinated" financial figures or vague bullish summaries. This skill enforces a strict source hierarchy and data-stamp requirements, ensuring every claim is backed by a specific filing or disclosure.

    Use cases

    • Conduct deep-dive fundamental analysis on a new stock idea for a portfolio.
    • Perform a quick screen of a company to identify governance or accounting red flags.
    • Compare a target company's margins and capital allocation against industry peers.
    • Build a risk-monitoring framework with specific triggers that would invalidate a thesis.

    Known limitations

    Does not provide personalized investment advice or guaranteed buy/sell calls. Accuracy depends on the quality of provided or available public disclosures. Cannot verify live market prices or real-time news unless specific external tools are connected.

    Requires public disclosures (10-K, 10-Q, etc.) to function. Cannot provide personalized financial advice. Valuation accuracy is sensitive to user-provided or sourced assumptions.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed4 days ago

    What's inside

    Frequently Asked Questions

    Unlike generic AI responses, this skill enforces a strict source hierarchy that maps every data point—from ROIC to receivables growth—directly to official regulatory filings like 10-Ks and earnings transcripts to eliminate hallucinations.

    The skill is designed for cross-platform compatibility and can be integrated into popular AI agent frameworks that support web search and document processing, such as AutoGPT, LangChain-based agents, or OpenAI Custom GPTs.

    You receive the full skill configuration, including the structured research logic, valuation model templates (DCF/Multiples), and the source-tracing protocol ready for immediate deployment in your preferred environment.

    Yes, the skill is built to handle global equity research and can analyze any company that provides public financial disclosures in GAAP or IFRS, regardless of the exchange it trades on.

    The skill is designed to analyze the most recent SEC filings and official disclosures available to your agent's search tool; however, it is not a real-time 'ticker tape' and should not be used for high-frequency price tracking.

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