Professional quantitative investment analysis system based on TradingView MCP tools providing insights and decision recommendations.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontradingview-quantitativeExecute the skills CLI command in your project's root directory to begin installation:
Fetches tradingview-quantitative from hypier/tradingview-quantitative-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate tradingview-quantitative. Access via /tradingview-quantitative in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
4
total installs
4
this week
4
GitHub stars
0
upvotes
Run in your terminal
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4
this week
4
stars
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.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
Solid pick for teams standardizing on skills: tradingview-quantitative is focused, and the summary matches what you get after install.
We added tradingview-quantitative from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tradingview-quantitative fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tradingview-quantitative is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: tradingview-quantitative is the kind of skill you can hand to a new teammate without a long onboarding doc.
tradingview-quantitative is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
tradingview-quantitative fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: tradingview-quantitative is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added tradingview-quantitative from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tradingview-quantitative is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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