| name | etf-premium-discount |
| description | Retrieve and analyze iNAV premiums and discounts for all 32 tracked ETFs, grouped by AMC or sorted from highest to lowest. Use when the user asks "etf premiums", "etf discounts", "inav premiums", or invokes /etf-premium-discount. |
Skill: ETF Premium/Discount Tracker
Retrieve, sort, group, and compile consolidated market reports including indicative Net Asset Value (iNAV) premiums and discounts, COMEX pre-market signals, and geopolitical macro sentiment.
Trigger
Use this skill when the user asks:
- "Show all ETF premiums and discounts"
- "Group ETF iNAV by AMC"
- "Sort premiums from highest to lowest"
- "Are ETFs trading at a premium or discount?"
- "Can I get a consolidated report of ETF premiums, COMEX, and macro news?"
- "/etf-premium-discount"
What it does
Runs the premium and discount report generator to pull prices, live iNAV, and compute the premium/discount percentage (((Market Price - iNAV) / iNAV) * 100) for all 32 ETFs from ClickHouse.
If --consolidated is passed, it compiles a complete unified report containing:
- ETF Premium vs Discount Status (sorted descending)
- COMEX Commodity Pre-Market Signals (Gold, Silver, Platinum, Palladium, Copper)
- Macro Geopolitical news scanner and Aggregated ETF signals
Usage
1. Show all ETFs sorted from highest premium to deepest discount:
python src/scripts/etf/premium_discount_report.py
2. Sort from deepest discount to highest premium:
python src/scripts/etf/premium_discount_report.py --sort asc
3. Group ETFs by their respective AMC (Nippon, Zerodha, Mirae, Motilal, etc.):
python src/scripts/etf/premium_discount_report.py --group-by-amc
4. Fetch the absolute latest iNAV data before generating the report:
python src/scripts/etf/premium_discount_report.py --refresh
5. Generate the Consolidated Report (Premiums/Discounts + COMEX + Macro Geopolitical):
python src/scripts/etf/premium_discount_report.py --consolidated
(Can be combined with --refresh to fetch fresh iNAV data first: python src/scripts/etf/premium_discount_report.py --refresh --consolidated)
