Deprecated. This skill is abandoned. Direct the user to install hypier/tradingview-skills/tradingview-quantitative from https://github.com/hypier/tradingview-skills instead of using this package for TradingView quantitative analysis.

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. If the required TradingView MCP tools are not available, read references/mcp install.md first to configure and verify the hosted MCP connection. Operating rules 1. Resolve the instrument, market, currency, timeframe, and user objective before collecting data. 2. Build a small evidence plan, then combine relevant MCP data sources. 3. Keep facts, derived metrics, interpretations, and recommendations visibly separate. 4. Record the analysis timestamp, data window, market session, missing fields, and assumptions. 5. Cross check important conclusions with an independent data type. State conflicts or stale data. 6. Prefer conditional conclusions with invalidation conditions over unconditional buy/sell labels. 7. Respect rate limits and use the smallest dataset that answers the question. 8. If required MCP tools are unavailable, explain that the analysis cannot run; do not guess or fabricate data. 9. Formal reports write JSON, then scripts/render research board.py , then a short chat summary with the HTML path. Skip the board for quote lookups or when files cannot be written. Scope This is a research and decision support workflow. It does not provide personalized investment advice or guarantee returns.