India news tracker

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)

Source	What to Fetch	Search Query Pattern
BSE India (bseindia.com)	Corporate announcements, board meeting outcomes, results	site:bseindia.com [company] announcement
NSE India (nseindia.com)	Bulk deals, block deals, insider trades, F&O ban list	site:nseindia.com [topic]
SEBI (sebi.gov.in)	Circulars, new regulations, enforcement orders	site:sebi.gov.in circular 2026
RBI (rbi.org.in)	Monetary policy, banking regulations, forex data	site:rbi.org.in [topic]

Tier 2 — Financial Media (Primary News)

Source	Strength	Search Query Pattern
MoneyControl	Fastest Indian market news, earnings analysis	site:moneycontrol.com [topic]
Economic Times Markets	Corporate news, policy analysis	site:economictimes.indiatimes.com markets [topic]
LiveMint	Policy, macro, premium analysis	site:livemint.com [topic]
Business Standard	In-depth corporate and policy coverage	site:business-standard.com [topic]

Tier 3 — Supplementary

Source	Strength	Search Query Pattern
NDTV Profit	Quick market updates	site:ndtvprofit.com [topic]
Trendlyne	Technicals, bulk deals, DII/FII data	site:trendlyne.com [topic]
Screener.in	Financials, results calendar	site:screener.in [topic]
Tijori Finance	Earnings summaries, sector data	site:tijorifinance.com [topic]

Tier 4 — Social / Real-time Sentiment

Source	Strength	Search Query Pattern
X/Twitter	Breaking news, market sentiment	site:x.com [topic] NSE OR BSE
Reddit (ISB)	Retail sentiment, trading ideas	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:

Category	Examples	Typical Impact
Earnings	Quarterly results, annual results, earnings surprise	High (on specific stock)
Corporate Action	Dividend, bonus, split, buyback, rights issue	Medium (on specific stock)
M&A	Merger, acquisition, demerger, stake sale	High (on involved companies)
Management	CEO change, board reshuffle, key hire/exit	Medium
Regulatory	SEBI order, RBI circular, govt policy	Medium-High (sector-wide)
Institutional	FII/DII flow data, bulk/block deals, MF holdings	Medium
Sector	Industry trend, commodity price, global peer news	Medium
Macro	GDP data, inflation, IIP, PMI, trade deficit	Medium-High (market-wide)
Global	Fed decision, US markets, crude oil, China data	Medium-High
IPO	New filing, listing, subscription data	Medium (on IPO stock)
Legal	Court order, NCLT, arbitration, penalty	Variable
Rating	Analyst upgrade/downgrade, target price change	Medium
Insider	Promoter buy/sell, SAST disclosure, pledge change	Medium-High
ESG	Environmental violation, governance issue, social impact	Low-Medium

Impact Scoring Framework

Score each news item on a 1-10 scale:

Score	Label	Criteria	Example
9-10	Critical	Market-wide impact, will move indices	RBI emergency rate cut, SEBI bans F&O
7-8	High	Sector-wide or large-cap stock impact	Major M&A, earnings shock on Nifty 50 stock
5-6	Medium	Significant for specific stocks	Mid-cap earnings beat, analyst upgrade
3-4	Low	Limited impact, FYI value	Minor corporate action, routine filing
1-2	Noise	Background info, no trading signal	Industry conference, routine compliance

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:

Sentiment	Signal	Indicators
Bullish	🟢	Earnings beat, upgrade, promoter buying, positive guidance, policy tailwind
Bearish	🔴	Earnings miss, downgrade, promoter selling/pledging, negative guidance, regulatory action
Neutral	🟡	In-line results, routine filing, mixed signals
Ambiguous	⚪	Complex event requiring analysis (e.g., M&A — good for buyer or target?)

Integration with Other Skills

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

News Type	Feed To	How
Major headline / policy event	Scenario Analyzer	"Analyze: [headline]" → 3 scenarios
Stock earnings / corporate action	India Stock Analysis	"Analyze [stock] in context of [news]"
Sector rotation signals	India Market Breadth	Check if breadth confirms sector narrative
FII/DII bulk deal activity	FII/DII Flow Tracker	"What are institutional flows telling us about [sector]?"
F&O regulatory change	Options Strategy Advisor	Check strategy impact of rule change
Breakout candidate in news	NSE VCP Screener	Verify if news stock has VCP setup

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.