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.

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

text

📈 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:

• PayPal: https://www.paypal.com/donate/?hosted_button_id=MJHCRZA9Z4X7Y