News Based Stock Research Skill
/install news-based-stock-research-skill
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
-
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.
-
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
-
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.
-
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.
-
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.
-
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:
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install news-based-stock-research-skill - After installation, invoke the skill by name or use
/news-based-stock-research-skill - Provide required inputs per the skill's parameter spec and get structured output
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.