India News Tracker

Overview

This skill fetches, categorizes, scores, and summarizes Indian market news from multiple sources. It tracks corporate announcements, SEBI circulars, bulk/block deals, insider trades, earnings calendars, and breaking market news — then feeds actionable insights to the user or other skills (like Scenario Analyzer).

Architecture

Skill (Orchestrator)
├── Phase 1: News Collection
│   ├── Web search across Indian financial media
│   ├── BSE/NSE corporate filings
│   ├── Regulatory circulars (SEBI, RBI)
│   └── Bulk/block deal data
├── Phase 2: Processing
│   ├── Categorize by event type
│   ├── Score market impact (1-10)
│   ├── Tag affected sectors and stocks
│   └── Detect sentiment (bullish/bearish/neutral)
├── Phase 3: Analysis
│   ├── Identify top movers from news
│   ├── Cross-reference with price action (via broker MCP)
│   ├── Flag earnings surprises and guidance changes
│   └── Detect theme clusters
└── Phase 4: Report
    ├── Daily briefing format
    ├── Stock-specific news digest
    ├── Sector news roundup
    └── Actionable alerts

News Source Priority

Use web search to fetch news from these sources, in order of reliability:

Tier 1 — Official / Regulatory (Highest Priority)

site:bseindia.com [company] announcement

site:nseindia.com [topic]

site:sebi.gov.in circular 2026

site:rbi.org.in [topic]

Tier 2 — Financial Media (Primary News)

site:moneycontrol.com [topic]

site:economictimes.indiatimes.com markets [topic]

site:livemint.com [topic]

site:business-standard.com [topic]

Tier 3 — Supplementary

site:ndtvprofit.com [topic]

site:trendlyne.com [topic]

site:screener.in [topic]

site:tijorifinance.com [topic]

Tier 4 — Social / Real-time Sentiment

site:x.com [topic] NSE OR BSE

site:reddit.com/r/IndianStreetBets [topic]

Broker MCP Integration

Use broker MCP tools to cross-reference news with live market data:

Groww MCP (if connected)

• fetch_market_movers_and_trending_stocks_funds

  with

  STOCKS_IN_NEWS

  — stocks currently in news

• get_ltp

  — check price reaction to news

• fetch_historical_candle_data

  — verify price movement post-announcement

• fetch_stocks_fundamental_data

  — earnings data to compare with announced results

• fetch_market_movers_and_trending_stocks_funds

  with

  VOLUME_SHOCKERS

  — abnormal volume (often news-driven)

• resolve_market_time_and_calendar

  — trading day context

Zerodha Kite MCP (if connected)

• get_ltp

  — last traded price for news impact verification

• get_quotes

  — real-time quotes with depth

• get_historical_data

  — price history for post-news analysis

• search_instruments

  — resolve company names to trading symbols

No Broker Available

• Use web search for all data (MoneyControl, Google Finance for prices)
• yfinance as fallback for historical price data

Workflow

Mode 1: Daily Market Briefing

Trigger: "What's the market news today?", "Daily briefing", "Morning update", "What happened in markets today?"

Steps:

1. Determine market context

   • Call

     resolve_market_time_and_calendar

     to get current date and market status
   • If market is closed, note it and provide previous day's wrap + upcoming catalysts

2. Fetch top market news (run searches in parallel)

   WebSearch: "Indian stock market news today [date]"
   WebSearch: "NSE BSE market update today [date]"
   WebSearch: "site:moneycontrol.com market news today"
   WebSearch: "site:economictimes.indiatimes.com stock market today"
   

3. Fetch stocks in news (if broker MCP available)

   Groww: fetch_market_movers_and_trending_stocks_funds(["STOCKS_IN_NEWS"])
   Groww: fetch_market_movers_and_trending_stocks_funds(["VOLUME_SHOCKERS"])
   Groww: fetch_market_movers_and_trending_stocks_funds(["TOP_GAINERS", "TOP_LOSERS"])
   

4. Fetch regulatory updates

   WebSearch: "SEBI circular [current month] [year]"
   WebSearch: "RBI announcement today [date]"
   

5. Fetch corporate actions

   WebSearch: "corporate actions NSE [date] ex-date dividend bonus split"
   WebSearch: "board meeting results today NSE BSE"
   

6. Categorize each news item using the Event Classification table below

7. Score market impact for each news item (1-10 scale, see Scoring Framework)

8. Cross-reference with price action

   • For top 5-10 news items, check stock price movement using

     get_ltp

   • Flag significant gaps or volume spikes matching news

9. Generate Daily Briefing using

   assets/daily_briefing_template.md

Mode 2: Stock-Specific News

Trigger: "News about Reliance", "What's happening with TCS?", "Any announcements from HDFC Bank?"

Steps:

1. Resolve the company symbol

   • Use

     curate_symbols

     or

     search_instruments

     to get the correct trading symbol

2. Fetch company-specific news (parallel searches)

   WebSearch: "[company name] stock news [current month] [year]"
   WebSearch: "site:moneycontrol.com [company name] [year]"
   WebSearch: "site:bseindia.com [company name] announcement"
   WebSearch: "[company name] quarterly results [year]"
   WebSearch: "[company name] corporate action dividend bonus split"
   

3. Fetch fundamental context

   Groww: fetch_stocks_fundamental_data(company, view='stats_only')
   Groww: get_ltp([company])
   

4. Check for recent price impact

   Groww: fetch_historical_candle_data(symbol, last 30 days, daily)
   

5. Compile and present categorized news with impact scores

6. Highlight actionable items:

   • Upcoming earnings dates
   • Pending corporate actions (ex-dates)
   • Regulatory changes affecting the company
   • Management changes or M&A activity
   • Insider trading activity

Mode 3: Sector News Roundup

Trigger: "What's happening in banking sector?", "IT sector news", "Pharma sector update"

Steps:

1. Map sector to NSE sectoral index and constituent stocks

   • See

     references/sector_mapping.md

     for sector → index → stocks mapping

2. Fetch sector-specific news (parallel searches)

   WebSearch: "[sector] sector India stock market [current month] [year]"
   WebSearch: "site:moneycontrol.com [sector] sector India"
   WebSearch: "[sector] policy regulation India [year]"
   

3. Fetch sector movers (if Groww MCP connected)

   Groww: fetch_market_movers_and_trending_stocks_funds(sector-specific filters)
   Groww: fetch_technical_screener(sector filter)
   

4. Identify sector themes:

   • Policy/regulatory changes (e.g., banking NPA norms, pharma FDA)
   • Earnings trend across sector
   • FII/DII sector rotation signals
   • Commodity input cost changes

5. Present sector roundup with:

   • Top 3-5 sector headlines
   • Sector index performance
   • Notable stock moves within sector
   • Upcoming sector catalysts

Mode 4: Earnings Tracker

Trigger: "Upcoming earnings", "Results calendar", "Who's reporting this week?", "How were [company] results?"

Steps:

1. Fetch earnings calendar

   WebSearch: "NSE BSE quarterly results schedule [current month] [year]"
   WebSearch: "site:trendlyne.com earnings calendar"
   WebSearch: "board meeting intimate NSE [date range]"
   

2. For upcoming earnings, present:

   | Company | Date | Quarter | Analyst Estimate | Previous Quarter |
   

3. For reported earnings, fetch and analyze:

   WebSearch: "[company] quarterly results Q[x] FY[xx]"
   Groww: fetch_stocks_fundamental_data(company, view='financials_only')
   

4. Earnings analysis includes:

   • Revenue vs estimate (beat/miss/inline)
   • PAT vs estimate
   • Margin expansion/compression
   • Management guidance highlights
   • YoY and QoQ growth rates
   • Stock price reaction post-results

Mode 5: Corporate Actions Tracker

Trigger: "Upcoming dividends", "Stock splits this month", "Bonus shares", "Corporate actions"

Steps:

1. Fetch corporate actions calendar

   WebSearch: "NSE corporate actions [current month] [year] ex-date"
   WebSearch: "upcoming dividend ex-date NSE [month] [year]"
   WebSearch: "stock split bonus issue NSE BSE [year]"
   

2. Present corporate actions organized by type:

   Dividends:

   | Company | Type | Amount (Rs.) | Ex-Date | Record Date |
   

   Bonus Issues:

   | Company | Ratio | Ex-Date | Record Date |
   

   Stock Splits:

   | Company | From FV | To FV | Ex-Date |
   

   Rights Issues:

   | Company | Ratio | Price (Rs.) | Open Date | Close Date |
   

Mode 6: Bulk/Block Deal Monitor

Trigger: "Bulk deals today", "Block deals", "Who's buying/selling large quantities?"

Steps:

1. Fetch bulk/block deal data

   WebSearch: "NSE bulk deals today [date]"
   WebSearch: "BSE block deals today [date]"
   WebSearch: "site:nseindia.com bulk deals"
   WebSearch: "site:trendlyne.com bulk deals"
   

2. Analyze and present:

   | Stock | Deal Type | Buyer/Seller | Quantity | Price (Rs.) | % of Equity |
   

3. Flag significant deals:

   • Promoter buying/selling
   • FII/DII bulk transactions
   • PE fund entries/exits
   • Deals > 1% of equity

Mode 7: Regulatory & Policy Monitor

Trigger: "SEBI updates", "RBI policy impact", "New regulations", "Policy changes"

Steps:

1. Fetch regulatory updates

   WebSearch: "SEBI circular [current month] [year] new regulation"
   WebSearch: "RBI monetary policy [current month] [year]"
   WebSearch: "India financial regulation change [year]"
   

2. Categorize by impact:

   • Market-wide: F&O margin changes, STT changes, settlement cycle changes
   • Sector-specific: Banking NPA norms, insurance regulations, telecom spectrum
   • Company-specific: SEBI enforcement, listing requirements

3. Assess impact and affected stocks/sectors

Event Classification

Categorize every news item into one of these categories:

Impact Scoring Framework

Score each news item on a 1-10 scale:

Scoring Adjustments:

• +1 if the stock is in Nifty 50 or Bank Nifty
• +1 if unexpected (vs market expectations)
• +1 if involves promoter/insider activity
• -1 if already priced in (market didn't react)
• -1 if from low-reliability source

Sentiment Classification

For each news item, classify sentiment:

Integration with Other Skills

This skill is designed to feed actionable news into other skills:

Output Guidelines

• Recency: Always show the most recent news first
• Source attribution: Every news item must cite the source
• Timestamp: Include date and time for each item
• Currency: All amounts in INR (Rs., Cr, L)
• Fiscal year: Use Indian FY convention (FY25 = April 2024 - March 2025)
• Trading symbol: Always include NSE symbol alongside company name
• Market hours context: Note if news came pre-market, during market, or post-market (affects price impact timing)
• Sentiment icon: Use 🟢/🔴/🟡/⚪ for quick visual scanning
• Impact score: Show [1-10] score for each significant item

Quality Standards

• Never present news older than requested timeframe without flagging it
• Cross-reference breaking news across at least 2 sources before treating as confirmed
• Distinguish between "rumor/report" and "confirmed announcement"
• Flag if a news source has known bias or is promotional content
• Include "price reaction" data when available — news without market reaction context is incomplete
• Always note the market status (open/closed) when presenting news, as impact timing differs

Error Handling

• If web search returns no results for a specific source, move to next source in priority
• If broker MCP is unavailable, proceed with web-only data
• If a company cannot be resolved, ask user to clarify
• If market is closed, note the timing context and present previous session's news
• Always provide at least a basic briefing even if some sources fail

Example Usage

User: "Market news today"

News Tracker:
1. Fetches date context → Thursday, March 12, 2026, market open
2. Parallel web searches across MoneyControl, ET, LiveMint
3. Fetches STOCKS_IN_NEWS via Groww MCP
4. Fetches VOLUME_SHOCKERS for unusual activity
5. Categorizes 15-20 news items
6. Scores each item (1-10)
7. Cross-references top items with LTP for price reaction
8. Generates daily briefing with:
   - Market overview (Nifty, Sensex, Bank Nifty)
   - Top 5 stories with impact scores
   - Stocks in focus (with price change)
   - Upcoming events (earnings, corporate actions)
   - Regulatory updates
   - Global cues for tomorrow

Resources

references/news_source_guide.md

Detailed guide on Indian financial news sources, their strengths, biases, and optimal search patterns.

references/sector_mapping.md

Mapping of NSE sectors to indices, constituent stocks, and relevant news categories.

references/sentiment_patterns.md

Historical patterns of how Indian markets react to different news categories, with lag analysis.

assets/daily_briefing_template.md

Template for the daily market briefing output format.