Professional quantitative investment analysis system based on TradingView data. Provides intelligent stock screening, technical pattern recognition, market r...
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install tradingview-quantitative-skills或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install tradingview-quantitative-skills⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/tradingview-quantitative-skills/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- 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. ---
Professional quantitative investment analysis system based on TradingView MCP tools providing insights and decision recommendations.
Before calling tradingview_get_leaderboard, you must first call tradingview_get_metadata to get parameter values:
type='markets' → Get market_code (required for stock leaderboard)type='tabs' + asset_type → Get available tab valuestype='columnsets' → Get available columnset valuesComplete metadata dictionary (market codes, tabs, columnsets, exchanges) see references/api-documentation.md.
| 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) |
For detailed steps, see `workflows/ directory:
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-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-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)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)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)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.
安装 Tradingview Quantitative 后,可以对 AI 说这些话来触发它
Help me get started with Tradingview Quantitative
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Use Tradingview Quantitative to professional quantitative investment analysis system based on Tradi...
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将技能文件夹放到 ~/.claude/skills/tradingview-quantitative-skills/ 目录(个人级,所有项目可用),或 .claude/skills/tradingview-quantitative-skills/(项目级)。重启 AI 客户端后,用 /tradingview-quantitative-skills 主动调用,或让 AI 根据上下文自动发现并使用。
Tradingview Quantitative 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Tradingview Quantitative 可免费安装使用。请查阅仓库了解许可证信息。
Professional quantitative investment analysis system based on TradingView data. Provides intelligent stock screening, technical pattern recognition, market r...
Tradingview Quantitative 属于「Finance & Investment」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my finance & investment tasks using Tradingview Quantitative
Identifies repetitive steps in your workflow and sets up Tradingview Quantitative to handle them automatically