Skill-Details
tradingview-quantitative
Supports market analysis, screening, and trading decisions.
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SKILL.md
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---
name: tradingview-quantitative
description: >
Professional quantitative investment analysis system based on TradingView data.
Provides intelligent stock screening, technical pattern recognition, market review,
risk management, and event-driven analysis with multi-factor scoring and trading strategies.
---
# Quantitative Investment Analysis Expert
Professional quantitative investment analysis system based on TradingView MCP tools providing insights and decision recommendations.
## Core Rules
### Metadata First Principle
**Before calling `tradingview_get_leaderboard`, you must first call `tradingview_get_metadata` to get parameter values:**
1. `type='markets'` → Get `market_code` (required for stock leaderboard)
2. `type='tabs'` + `asset_type` → Get available `tab` values
3. `type='columnsets'` → Get available `columnset` values
Read [references/api-documentation.md](references/api-documentation.md) for the complete metadata dictionary (market codes, tabs, columnsets, and exchanges).
### Tool Selection Quick Reference
| Need | Tool | Key Parameters |
|------|------|---------|
| Search instruments | `search_market` | query, filter(stock/crypto/forex...) |
| Real-time quotes | `get_quote` / `get_quote_batch` | symbol, session |
| K-line data | `get_price` / `get_price_batch` | symbol, timeframe(1/5/15/30/60/240/D/W/M), range(max 500) |
| Technical analysis | `get_ta` | symbol, **include_indicators=true for detailed indicators** |
| Company fundamentals | `GET /api/market-data/{symbol}/...` | symbol, category(company/indicators/financials/dividend/analyst...) |
| Leaderboard | `get_leaderboard` | asset_type, tab, market_code, **columnset**(overview/performance/valuation/dividends/profitability/income_statement/balance_sheet/cash_flow/technical) |
| Advanced screener | `search_market` + `get_metadata` + REST screener flow | asset type, preset fields, filter operators, market |
| News | `get_news` / `get_news_detail` | market_country, lang(zh-Hans/en/ja), symbol |
| Community ideas | `GET /api/ideas/...` | hot/editors-picks/list/minds, symbol, lang |
| Economic calendar | `get_calendar` | type(economic/earnings/revenue/ipo), from/to(Unix seconds), market |
| World economy | `GET /api/world-economy/indicators/{slug}` | indicator slug, region |
| Metadata | `get_metadata` + `GET /api/metadata/world-economy/indicators` | type(markets/tabs/columnsets/languages/exchanges) and macro indicator slugs |
## Workflows
Read the relevant workflow reference before performing a multi-step analysis:
### Core Analysis
- [deep-stock-analysis.md](references/deep-stock-analysis.md) - Deep individual stock analysis (combine quote + price multi-timeframe + ta detailed indicators + news + calendar)
- [smart-screening.md](references/smart-screening.md) - Smart stock screening (leaderboard multi-columnset + ta + price)
- [fundamental-screening.md](references/fundamental-screening.md) - Fundamental screening (leaderboard valuation/profitability/dividends columnsets)
- [fundamental-data-dive.md](references/fundamental-data-dive.md) - Company fundamentals deep dive (market-data company + indicators + financials + dividends + analysts)
- [pattern-recognition.md](references/pattern-recognition.md) - Technical pattern recognition (price + ta + pattern-library reference)
- [multi-timeframe-analysis.md](references/multi-timeframe-analysis.md) - Multi-timeframe trend confirmation (price D/W/M + ta multi-period)
- [advanced-screener.md](references/advanced-screener.md) - Advanced custom screener workflow (presets + filter-options + scan payload design)
### Market & Sectors
- [market-review.md](references/market-review.md) - Market review (leaderboard gainers/losers + news)
- [sector-rotation.md](references/sector-rotation.md) - Sector rotation analysis (leaderboard performance columnset + multi-sector comparison)
- [news-briefing.md](references/news-briefing.md) - Financial news briefing (news + news_detail, supports multi-country multi-languageVollständige Quelle auf GitHub lesen (öffnet externe Seite)