TradingView Quantitative Research

Use available TradingView MCP tools as a data layer. This skill defines how to frame the research question, combine data, test competing explanations, and communicate conclusions. Do not reproduce MCP API documentation or treat a single indicator as an analysis.

Choose a research mode

• Equity research: one company’s trend, catalysts, valuation, and invalidation risks. Read references/equity-research.md.
• Options and ETF structure: listed chain vs live contract quote; fund AUM and holdings vs related ETF tickers. Read references/options-and-etf.md.
• Opportunity discovery: turn an investment hypothesis into a multi-factor candidate search. Read references/opportunity-screening.md.
• Market and macro research: explain regime, breadth, rotation, macro drivers, and cross-asset implications. Read references/market-macro-research.md.
• Event study: measure an event’s effect before and after it occurs. Read references/event-study.md.
• Portfolio and risk: evaluate exposures, concentration, correlation, drawdown, and position risk together. Read references/portfolio-risk.md.
• Signal validation: test whether a technical, fundamental, or event rule has historical evidence. Read references/signal-validation.md.
• Strategy research and backtesting: turn a rule into a measurable strategy and test robustness. Read references/strategy-research.md.
• Trade execution: assess liquidity, spread, slippage, and whether a signal is executable. Read references/execution-analysis.md.
• Monitoring and triggers: turn strategy, portfolio, and event conditions into state-change alerts. Read references/monitoring-and-alerts.md.

Use references/analysis-framework.md for shared evidence, uncertainty, and scoring rules, and references/output-templates.md for the chat summary. For a formal report, also read references/visual-report.md and write a portable HTML research board. Do not treat a Cursor canvas as the deliverable.