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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.
Optimize ClickHouse queries, analyze pipeline latency, and monitor data quality safely.
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.