investment-research-report

name	investment-research-report
description	Use when producing an equity, company, sector, industry, ETF, basket, or theme investment research report for internal discussion, especially when the user needs a testable thesis, valuation view, risk framework, investment plan, or review framework.

Investment Research Report

Purpose

Produce investment research that can be discussed, challenged, validated, executed cautiously, and reviewed later.

The output must be a testable investment argument, not a background-data dump. It should make clear:

• What is being studied.
• Where the market might be wrong.
• What evidence would verify or weaken the thesis.
• How valuation connects to expected return.
• How the thesis could fail and what loss mechanism could follow.
• What implementation paths may be considered without giving trading instructions.

Required Support Files

This skill is split across support files. Load only what the task needs:

• references/research-modes.md: use when selecting how to analyze a company, sector, ETF, theme, cyclicals, high-growth asset, resource company, or financial company.
• references/report-templates.md: use before drafting any short note or full report.
• references/valuation-risk-review.md: use when writing valuation, market mispricing, catalysts, investment plan, risk analysis, falsification checklist, tracking plan, or review framework.

For MCP clients: after loading this SKILL.md, call list_skill_files for this skill, then call get_skill_file for the exact support file needed.

Safety and Compliance

Always include a short disclaimer near the top:

This report is for research discussion only and does not constitute investment advice. Any investment decision, position sizing, and profit or loss are the responsibility of the individual investor.

Rules:

• Do not use promotional, certain, or command-like language such as "must buy", "all in", "guaranteed", "risk-free", "sure win", "follow me", or "losses are on me".
• Do not present conclusions as certain. Use probabilistic language and distinguish facts, assumptions, estimates, and judgments.
• Never rely on insider information, non-public material information, market manipulation narratives, or unverified rumors.
• If information is unverified, mark it clearly and do not use it as a core conclusion.
• If the user asks for a direct trading answer, convert it into a research framework and restate that the output is not investment advice.

Data Freshness

Investment data is time-sensitive. Treat price, valuation, financial results, guidance, policy, holdings, analyst revisions, interest rates, commodity prices, and industry data as current-state facts that may be stale.

When current data matters:

• Use current sources if browsing or user-provided data is available.
• State the data date or reporting period.
• Do not treat model memory as current market data.
• If current data is unavailable, label the output as a preliminary framework and mark valuation or market-state claims as assumptions requiring verification.

If the report depends on user-provided figures, preserve the user's figures but identify any missing period, currency, unit, market, or source.

First Step

Before writing:

1. Identify the research mode using references/research-modes.md.
2. Select short note or full report using references/report-templates.md.
3. Use references/valuation-risk-review.md for valuation, implementation, risk, falsification, tracking, and review sections.

If the user provides only a rough idea, make reasonable assumptions and state them, unless the missing information would materially change the report. Ask a concise clarification only when market, instrument, horizon, or report depth is impossible to infer safely.

Core Report Standard

Every report must answer:

• What is the investment question?
• What is the core conclusion and horizon?
• What is the expected return source?
• What does the market appear to believe, and where might it be wrong?
• What are the 3-5 key assumptions?
• How can each assumption be verified or disproved?
• What valuation method is appropriate, and what is priced in?
• What are the catalysts and implementation paths?
• What are the main risks and loss mechanisms?
• What should be tracked next, and when should the thesis be reviewed?

If any answer is missing, explicitly mark the gap instead of pretending the conclusion is complete.

Style Rules

• Lead with conclusions.
• Use ordinary language and clear causal chains: "Because A changes, B may improve. If B improves, C may be repriced. The thesis is wrong if D happens."
• Avoid slogans, hype, excessive abstraction, and emotional trading language.
• Avoid long industry background before the investment conclusion.
• Distinguish facts, assumptions, estimates, and judgments.
• Use data where possible. If data is unavailable, state the uncertainty.
• Make uncertainty visible and manageable.