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)

Tier 2 — Financial Media (Primary News)

Tier 3 — Supplementary

Tier 4 — Social / Real-time Sentiment

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