🧠 News → Market Impact (News2Market)

Overview

News2Market helps you instantly analyze how news impacts key industries — so you can work smarter and faster. Choose your lens — Total Market, Economic Sectors, an Individual Sector (e.g., Energy, Health Care, IT), or an Ecosystem (e.g., Semiconductors, AI, Travel) — then submit a headline, summary, full article, or URL.

You’ll receive structured short-term (ST) and long-term (LT) calls (positive/negative) with concise explanations drawn from textual cues. At the sector level, the model evaluates macro levers (demand, supply, policy, cost, labor, etc.). At the industry or ecosystem level, it drills down into sub-industries along the value chain. The model does not make single-company calls — it focuses strictly on sectors and industry group dynamics.

Results render in a clean, structured format with reasoning and key excerpts, and each run produces both a summary snapshot and a structured dataset for cumulative trend analysis. This makes it ideal when you need actionable interpretation of market-moving news — not just sentiment.

Use News2Market to:

• Understand industry impacts and thematic trends
• Align with sector and industry ETFs/funds
• Detect second-order effects that may emerge over time
• Gain foresight into investment or business opportunities before they become obvious

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🧾 Input

JSON schema

{
  "news": "Paste a headline, summary, article text, or news URL.",
  "target": 1
}

Fields

Field	Type	Required	Description
news	string	✅	The news content to analyze — can be a URL, a headline, a summary, or full article text (≤ 8000 chars).
target	integer	✅	Specifies the market lens used for analysis. See full target list below.

Note on URLs

When using a URL, article extraction is not guaranteed to succeed.
The link should point to a single news article (not a homepage or multiple stories).

Target (Lens) Options

Code	Label
0	Total Market
1	Economic Sectors
10	Advertising & Interactive Media
11	Aerospace & Defense
12	Artificial Intelligence
13	Apple Ecosystem
15	Automotive
20	Digital Assets (Crypto/Web3)
35	Semiconductors
40	Travel
100	Communication Services
101	Consumer Discretionary
102	Consumer Staples
103	Energy
104	Financials
105	Health Care
106	Industrials
107	Information Technology
108	Materials
109	Real Estate
110	Utilities

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📤 Output

Each run saves the structured analysis to the Key-Value Store (OUTPUT) and pushes an item to the default Dataset for timeline tracking.

Example Output

{
  "targetName": "Economic Sectors",
  "fetchedAt": "2025-10-06T12:34:56Z",
  "status": 200,
  "inputNews": "https://finance.yahoo.com/news/amazon-launches-grocery-brand-most-142216558.html",
  "extractedNewsText": "Amazon launches a grocery brand ...",
  "shortTermSummary": "The Amazon Grocery launch boosts near-term demand for Consumer Staples.",
  "shortTermImpacts": {
    "strongPositive": [
      {
        "industry": "Consumer Staples",
        "rationale": "Amazon Grocery’s under-$5 model drives price-sensitive sales.",
        "etfs": ["XLP"],
        "funds": ["VCSAX"]
      }
    ],
    "positive": [],
    "negative": [],
    "strongNegative": []
  },
  "longTermSummary": "",
  "longTermImpacts": {
    "strongPositive": [],
    "positive": [],
    "negative": [],
    "strongNegative": []
  }
}

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📊 How It Works in Apify

• ✅ Accepts URLs or raw news text
• 🧠 Applies economic-impact reasoning, not raw sentiment
• 📈 Produces short-term and long-term impact explanations
• 💡 Links to sector and industry ETFs/funds
• 🕒 Saves results for historical tracking and trend visualization

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📬 Contact

For support, feedback, or partnership inquiries:
📧 contact@talx2me.com