tradingview-quantitative▌
hypier/tradingview-quantitative-skills · updated Apr 11, 2026
Professional quantitative investment analysis system based on TradingView MCP tools providing insights and decision recommendations.
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:
type='markets'→ Getmarket_code(required for stock leaderboard)type='tabs'+asset_type→ Get availabletabvaluestype='columnsets'→ Get availablecolumnsetvalues
Complete metadata dictionary (market codes, tabs, columnsets, exchanges) see references/api-documentation.md.
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 |
| Leaderboard | get_leaderboard |
asset_type, tab, market_code, columnset(overview/performance/valuation/dividends/profitability/income_statement/balance_sheet/cash_flow/technical) |
| News | get_news / get_news_detail |
market_country, lang(zh-Hans/en/ja), symbol |
| Economic calendar | get_calendar |
type(economic/earnings/revenue/ipo), from/to(Unix seconds), market |
| Metadata | get_metadata |
type(markets/tabs/columnsets/languages/exchanges) |
Workflows
For detailed steps, see `workflows/ directory:
Core Analysis
deep-stock-analysis.md- Deep individual stock analysis (combine quote + price multi-timeframe + ta detailed indicators + news + calendar)smart-screening.md- Smart stock screening (leaderboard multi-columnset + ta + price)fundamental-screening.md- Fundamental screening (leaderboard valuation/profitability/dividends columnsets)pattern-recognition.md- Technical pattern recognition (price + ta + pattern-library reference)multi-timeframe-analysis.md- Multi-timeframe trend confirmation (price D/W/M + ta multi-period)
Market & Sectors
market-review.md- Market review (leaderboard gainers/losers + news)sector-rotation.md- Sector rotation analysis (leaderboard performance columnset + multi-sector comparison)news-briefing.md- Financial news briefing (news + news_detail, supports multi-country multi-language)
Risk & Events
risk-assessment.md- Risk assessment (price historical data + quote + volatility calculation)event-analysis.md- Event-driven analysis (calendar + news + search)calendar-tracking.md- Calendar event tracking (calendar 4 types)
Quotes & Search
symbol-search.md- Instrument search (search_market)realtime-monitor.md- Real-time quote monitoring (quote / quote_batch)multi-symbol-analysis.md- Multi-instrument batch analysis (quote_batch + price_batch + ta)exchange-overview.md- Exchange overview (metadata exchanges/markets/tabs)
Reference Knowledge Base
For professional methodologies and data dictionaries, see references/ directory:
api-documentation.md- Complete TradingView API documentation (endpoints, parameters, metadata dictionary: market codes/tabs/columnsets/exchanges, search keywords:Market Codes,Asset Types and Tabs,Column Sets,Supported Languages)mcp-tools-guide.md- MCP tools usage guide (tool combination patterns, metadata-first rules, best practices for various scenarios)technical-analysis.md- Technical analysis methodology (comprehensive scoring model, trend/momentum/pattern/support-resistance scoring, search keywords:comprehensive scoring model,RSI,MACD,support resistance)pattern-library.md- Pattern recognition library (classic patterns, recognition algorithms, success rate statistics, search keywords:double bottom,head and shoulders,triangle,flag,candlestick patterns)risk-management.md- Risk management system (position management, stop-loss strategies, portfolio management, search keywords:Kelly formula,volatility,stop loss take profit,batch position building)china-a-stock-examples.md- China A-share practical cases (stock screening, pattern analysis, market review output examples)
Disclaimer
The analysis and recommendations provided by this Skill are for reference only and do not constitute investment advice. Investing involves risks; decisions should be made cautiously.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★44 reviews- ★★★★★Sofia Patel· Dec 28, 2024
Solid pick for teams standardizing on skills: tradingview-quantitative is focused, and the summary matches what you get after install.
- ★★★★★Min Reddy· Dec 20, 2024
We added tradingview-quantitative from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 12, 2024
tradingview-quantitative fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★William Torres· Dec 12, 2024
tradingview-quantitative is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diego Taylor· Nov 11, 2024
Keeps context tight: tradingview-quantitative is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 3, 2024
tradingview-quantitative is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Ramirez· Nov 3, 2024
tradingview-quantitative fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chaitanya Patil· Oct 22, 2024
Keeps context tight: tradingview-quantitative is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Camila Anderson· Oct 22, 2024
We added tradingview-quantitative from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★William Lopez· Oct 2, 2024
tradingview-quantitative is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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