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abdullah944

News Based Stock Research Skill

by Kw.Hades- Creative Labs · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install news-based-stock-research-skill
Description
Analyze public stock-market news into educational watchlists, catalysts, risks, and paper-trade research notes with strict non-financial-advice safeguards.
README (SKILL.md)

News Based Stock Research Skill

Purpose

Use this skill when a user wants to turn public market news into structured stock research. It helps summarize catalysts, risks, sentiment, possible watchlist ideas, and paper-trading hypotheses.

This skill is educational research only. It must not provide personalized financial advice, guaranteed returns, real order instructions, or real-money trading commands.

When to use

Use this skill for requests like:

  • "Get stock ideas from today’s news."
  • "What stocks are affected by this earnings/news article?"
  • "Build a watchlist from AI / oil / banks / cybersecurity news."
  • "Explain the catalyst, risk, and paper-trade idea for this ticker."
  • "Compare bullish and bearish news for a company."

Required inputs

Ask for or infer safely:

  • Market or region: US, Kuwait, GCC, global, etc.
  • Time horizon: intraday, swing, weekly watchlist, long-term research.
  • User risk preference: conservative, balanced, high-risk watchlist.
  • News source or topic: article links, headlines, sector, ticker, or theme.
  • Whether the output is for watchlist only or paper-trading simulation.

Do not ask for brokerage logins, account balances, private portfolio details, tax details, passwords, OTPs, wallet keys, or paid data credentials.

Workflow

  1. Collect news context

    • Use public, reputable sources when available.
    • Prefer primary sources: company press releases, SEC filings, exchange announcements, earnings reports, central-bank releases, and trusted financial news.
    • If sources are not available, label the answer as based only on the user-provided text.
  2. Classify the news

    • Earnings / guidance
    • Regulation / legal
    • Product launch / partnership
    • Macro / rates / inflation
    • Sector rotation
    • M&A / buyback / dividend
    • Analyst rating / price-target change
    • Security incident / operational disruption
    • Rumor or unverified social media
  3. Extract catalyst and affected tickers

    • Identify direct ticker(s).
    • Identify second-order beneficiaries or losers.
    • Explain why each ticker may move.
    • Mark confidence: High / Medium / Low.
  4. Build balanced thesis

    • Bull case: why the news may help.
    • Bear case: why it may hurt or already be priced in.
    • Key uncertainty: what information is missing.
    • Time sensitivity: immediate, days, weeks, long-term.
  5. Create research output

    • Watchlist ranking, not a buy/sell command.
    • Suggested levels only as educational chart areas when requested.
    • Always include invalidation/risk and a reminder to verify live price and volume.
  6. Optional paper-trade plan

    • Clearly label as PAPER ONLY.
    • Include setup reason, entry idea, stop/invalidation, target idea, and risk warning.
    • Never say "place this order" or imply real execution.

Output template

📈 NEWS-BASED STOCK RESEARCH
Scope: [market / sector / ticker]
Source quality: [High/Medium/Low]
Mode: Watchlist / Paper-only idea

1) Main catalyst
- [Short plain-English summary]

2) Stocks affected
- [Ticker/name]: Bull case / Bear case / Confidence
- [Ticker/name]: Bull case / Bear case / Confidence

3) Watchlist ranking
- #1 [Ticker]: why it matters, what to verify
- #2 [Ticker]: why it matters, what to verify

4) Risk checks
- What could make the idea wrong
- Event/date to watch
- Liquidity/volatility warning

5) Paper-only setup, if requested
- Direction idea: LONG / SHORT / WAIT
- Entry idea: [condition, not command]
- Stop/invalidation: [condition]
- Target idea: [condition]
- Warning: Fake trade only, not financial advice

Safety rules

  • Do not give personalized financial advice.
  • Do not guarantee profit, ranking accuracy, or future price movement.
  • Do not provide real order placement steps.
  • Do not connect to brokerages, exchanges, or trading accounts.
  • Do not use private or paid APIs unless the user explicitly approves.
  • Do not treat rumors as facts; label them clearly.
  • Always include both bullish and bearish views.
  • Always remind the user to verify live data, volume, filings, and risk.
  • If the user asks for real-money execution, refuse and offer paper-trading/research framing.

Quality checklist

Before answering, verify:

  • The catalyst is tied to a source or clearly labeled as user-provided.
  • The affected tickers are plausible and not invented.
  • The output includes risk and invalidation.
  • The output is framed as research/watchlist or paper-only simulation.
  • No private data or secrets are requested.

Example prompts

  • "Analyze today’s AI chip news and give me a stock watchlist."
  • "This article mentions oil supply cuts. Which stocks might be affected and why?"
  • "Build a paper-only trade idea from this earnings headline."
  • "Compare bullish and bearish news for NVDA this week."
  • "Summarize cybersecurity stock news into a watchlist with risks."

Support / Donate

If this skill helps your workflow, you can support maintenance here:

Usage Guidance
Install only if you want educational stock-news research help. Treat outputs as research prompts, not trading advice, verify live market data independently, and do not provide brokerage logins, wallet keys, passwords, OTPs, account balances, or private portfolio details.
Capability Tags
cryptorequires-walletrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated purpose is public market-news research, watchlists, catalysts, risks, and paper-only hypotheses; the artifact repeatedly forbids personalized financial advice, real order execution, brokerage connections, and credential requests.
Instruction Scope
Runtime instructions are scoped to public or user-provided sources, balanced bull/bear analysis, source-quality labeling, and risk warnings.
Install Mechanism
The package contains only SKILL.md and metadata.json, with no executable scripts, dependencies, installer, or command-running instructions.
Credentials
The platform metadata lists crypto, wallet, and sensitive-credential capability tags, but the artifact itself does not request or use those capabilities and explicitly says not to ask for wallet keys or paid data credentials.
Persistence & Privilege
No persistence, background workers, privilege escalation, account mutation, local indexing, or hidden data flows are present.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install news-based-stock-research-skill
  3. After installation, invoke the skill by name or use /news-based-stock-research-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: educational news-based stock research watchlists, catalysts, risks, and paper-only setup template.
Metadata
Slug news-based-stock-research-skill
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is News Based Stock Research Skill?

Analyze public stock-market news into educational watchlists, catalysts, risks, and paper-trade research notes with strict non-financial-advice safeguards. It is an AI Agent Skill for Claude Code / OpenClaw, with 42 downloads so far.

How do I install News Based Stock Research Skill?

Run "/install news-based-stock-research-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is News Based Stock Research Skill free?

Yes, News Based Stock Research Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does News Based Stock Research Skill support?

News Based Stock Research Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created News Based Stock Research Skill?

It is built and maintained by Kw.Hades- Creative Labs (@abdullah944); the current version is v0.1.0.

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