| name | etf-news |
| description | Fetch and tag news articles by Indian ETF category with sentiment scores. Covers 10 categories (Gold, Nifty, Bank, IT, PSU, Mid/Small, Pharma, International, Debt, Auto). Uses Google News RSS + Yahoo Finance — no API key required. Use when user asks about news affecting specific ETFs or wants to save ETF news to ClickHouse. |
Skill: ETF-Impact News
Fetches live news that can directly impact Indian ETFs, tagged by category, affected symbols, and sentiment. No API key required.
Trigger
Use this skill when the user asks:
- "What news is affecting GOLDBEES / BANKBEES / ITBEES?"
- "Any ETF-relevant news today?"
- "Show me news for gold ETFs / bank ETFs / IT ETFs"
- "Save ETF news to DB"
Commands
python src/main.py etf-news --max 4
python src/main.py etf-news --save
python src/main.py etf-news --category "Gold ETFs" --max 5 --save
python src/main.py etf-news --category "Gold ETFs,Bank ETFs,IT ETFs" --save
10 ETF Categories
| Category | ETFs Covered |
|---|
| Gold ETFs | GOLDBEES, SILVERBEES |
| Nifty ETFs | NIFTYBEES, SETFNIF50, HDFCNIFTY, MONIFTY500 |
| Bank ETFs | BANKBEES, PSUBNKBEES |
| IT ETFs | ITBEES |
| PSU ETFs | CPSEETF, ICICIB22 |
| Mid/Small Cap ETFs | JUNIORBEES, MID150BEES, SMALL250 |
| Pharma ETFs | PHARMABEES |
| International ETFs | MON100, MAFANG, HNGSNGBEES, MAHKTECH, MASPTOP50 |
| Debt / Liquid ETFs | LIQUIDBEES, LIQUIDCASE, GILT5YBEES |
| Auto ETFs | AUTOBEES |
Data Sources
- Google News RSS via
gnews — no quota, no key, India edition
- Yahoo Finance via
yfinance — no key, ticker-specific news
- NewsAPI (optional) — Indian financial press; requires
NEWSAPI_KEY in .env; cached 1h
What the Scanner Does NOT Produce — Do NOT Fabricate
The output is: headlines + sentiment tag (POSITIVE/NEGATIVE/NEUTRAL) + category.
❌ Do NOT add price levels (e.g. "gold at ₹7,200/g") — only report headlines shown
❌ Do NOT add FII flow amounts unless visible in output
❌ Do NOT assign buy/sell recommendations — the scanner only classifies sentiment
When summarising, report:
- Category names and how many articles were found
- The positive/negative/neutral headline counts from the header
- Specific headlines may be quoted directly (≤15 words)
- Sentiment counts shown in the header panel are ground truth
DB Storage
Results saved to market_data.news_articles with source_type = 'etf_news'.
View in Streamlit UI → 📰 Market News tab → right column (ETF-Impact News).
Filter by category and date range; sentiment counts shown at top.
Source File
src/tools/etf_news_scanner.py
