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Query massive US equity quant data for read-only cross-sectional analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "clickhouse-mcp" yet — see the docs or source repo.
Using the US stock quant database, run a read-only cross-sectional analysis to find stocks in the top 10% by 20-trading-day return and with latest turnover above the market median. Return ticker, sector, 20-day return, turnover percentile, and a short explanation.
A list of high-momentum stocks with key factor metrics and a brief explanation of the screening logic.
Perform a read-only cross-sectional valuation analysis across US stock sectors. Compare the distributions of P/E and P/B, list the five most expensive and five cheapest sectors, and summarize outliers and possible structural patterns.
A sector valuation comparison with rankings, distribution summaries, and key insights.
Using the historical US equity data, run a cross-sectional bucket test on the market-cap factor: sort stocks into 10 monthly groups, calculate next-month average return, win rate, and long-short spread, and explain whether the results show monotonicity.
A factor bucket test summary showing group returns and a monotonicity analysis.
Access stock quotes, historical data, and technical indicators through MCP.
Analyze US stocks with explainable ratings, support levels, stops, and reasoning.
Access Chinese A-share quotes, charts, fund flows, and financial reports.
Access China A-share data, news, and backtesting for quantitative research.
Research stocks with real-time data, fundamental analysis, comparisons, and record management.
Query ClickHouse clusters and list databases or tables via natural language.