News Sentiment Analyst#

Aggregate and analyze financial news and market sentiment using the Finskills API news endpoints. Extract actionable signals from headlines, classify sentiment by ticker and sector, and surface market-moving catalysts — so you can react to information before it's fully priced in.

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Setup#

API Key required — Register at https://finskills.net to get your free key.

Header: X-API-Key: <your_api_key>

Get your API key: Register at https://finskills.net — free tier available, Pro plan unlocks real-time quotes, history, and financials.

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When to Activate This Skill#

Activate when the user:

• Asks "what's happening in the market today?"
• Wants to check sentiment for a specific stock before trading
• Asks about recent news for a company or sector
• Wants to understand why a stock moved (news catalyst identification)
• Asks to summarize financial media themes or narratives

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Data Retrieval — Finskills API Calls#

1. General Financial News Feed#

text

GET https://finskills.net/v1/free/news/finance

Extract: title, summary, source, published timestamp, sentiment score (if provided), tickers mentioned

2. Latest News (Pro — broader coverage)#

text

GET https://finskills.net/v1/news/latest

Extract: same fields as above, with more sources and more recent latency

3. Symbol-Specific News#

text

GET https://finskills.net/v1/news/by-symbol/{SYMBOL}

Extract: news articles filtered to a specific stock — title, summary, sentiment, source, timestamp

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Analysis Workflow#

Step 1 — News Aggregation#

Collect and deduplicate articles across sources. Sort by:

1. Recency (most recent first)
2. Estimated impact (market-moving stories: Fed decisions, earnings, M&A, macro data)

Source trust tiers:

• Tier 1 (high authority): Reuters, Bloomberg, WSJ, FT, CNBC
• Tier 2 (solid): MarketWatch, Barron's, Seeking Alpha (News), Yahoo Finance
• Tier 3 (background): General blogs, press releases

Step 2 — Market-Wide Sentiment Classification#

For each article, classify:

SignalBearishNeutralBullishFed/PolicyRate hike surprise, hawkish tonePolicy hold expectedRate cut, dovish languageEarningsMiss + lowered guidanceBeat, maintained guidanceBeat + raised guidanceEconomic DataWeak jobs, poor PMIMixed dataStrong GDP, low unemploymentGeopoliticsNew conflicts, trade warOngoing tensionsPeace/trade dealM&ADeal collapse, hostile bidRumored dealsFriendly acquisition at premiumMacroRecession signalsSoft landing narrativeGrowth acceleration

Assign an overall Market Sentiment Score for the day:

• 🟢 Risk-On: Majority of market-moving news is bullish
• 🟡 Mixed: Conflicting signals across sectors
• 🔴 Risk-Off: Majority bearish, defensive positioning

Step 3 — Ticker/Sector Sentiment Map#

Group articles by stocks/sectors mentioned:

• For each ticker mentioned 2+ times: assign net sentiment (positive/negative/neutral)
• Identify sectors with bullish news clusters (potential sector momentum)
• Identify sectors with bearish news clusters (potential sector rotation out)

Step 4 — Catalyst Identification#

Flag high-impact event types:

• 🔴 Earnings: Beat/miss/guidance change
• 🔴 Merger/Acquisition: Target premium, integration cost
• 🔴 FDA/Regulatory: Drug approval, regulatory violation
• 🔴 Management change: CEO/CFO departure or appointment
• 🟡 Analyst action: Upgrade, downgrade, price target change
• 🟡 Macro data: CPI, NFP, GDP, FOMC minutes
• 🟡 Insider activity: Large insider buy/sell (link to insider-trade-tracker)
• 🟢 Buyback announcement: Often positive signal
• 🟢 Contract win / Partnership: Revenue catalyst

Step 5 — Summary and Recommendations#

Generate:

1. 3-bullet market summary (most important macro/market stories)
2. Top 3 bullish catalysts (specific stocks/sectors)
3. Top 3 bearish risks (specific stocks/sectors)
4. Sector rotation signal: which sectors are in/out of favor today

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Output Format#

text

╔══════════════════════════════════════════════════════╗
║     NEWS & SENTIMENT REPORT  —  {DATE} {TIME}       ║
╚══════════════════════════════════════════════════════╝

🌡️ OVERALL MARKET SENTIMENT: {RISK-ON / MIXED / RISK-OFF}
   Sources analyzed: {N}  |  Timeframe: Last {hours}h

📌 TOP MARKET THEMES
  1. {Most important market-moving story}
  2. {Second important story}
  3. {Third important story}

📈 BULLISH CATALYSTS
  🟢 {TICKER/SECTOR}: {headline}
     Source: {source} | Sentiment: Positive | Impact: {High/Medium/Low}
     Signal: {one-line interpretation}

  🟢 {TICKER/SECTOR}: {headline}
     ...

📉 BEARISH RISKS
  🔴 {TICKER/SECTOR}: {headline}
     Source: {source} | Sentiment: Negative | Impact: {High/Medium/Low}
     Signal: {one-line interpretation}

  🔴 {TICKER/SECTOR}: {headline}
     ...

🏭 SECTOR SENTIMENT MAP
  Sector          Sentiment   Key Driver
  Technology      🟢 Bullish  AI chip demand stories, NVDA + SMCI positive
  Energy          🔴 Bearish  Crude oil supply glut concerns
  Financials      🟡 Mixed    Rate cut hopes vs. credit risk headlines
  Healthcare      🟡 Neutral  No major catalysts today
  ...

🔍 STOCK-SPECIFIC NEWS
  [If user specified a ticker]
  {TICKER} — {N} stories in last 24h:
    {timestamp}: {headline} [{Positive/Negative/Neutral}]
    {timestamp}: {headline} [{sentiment}]
  Net Sentiment: {Positive/Mixed/Negative}

⚡ HIGH-IMPACT EVENTS TO WATCH
  • {Event 1} — scheduled {date/time}
  • {Event 2} — expected announcement

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Limitations#

• News latency varies by source; some articles may be 15–60 minutes delayed.
• Sentiment classification is AI-assisted and may miss nuanced or sarcastic language.
• This skill surfaces information signals, not guaranteed trading signals.
• Always verify high-impact news with primary sources (company IR, official filings).