DeepQ Index Analysis

Problem

When reviewing index performance, analysts often need point level, turnover, historical ranges, technical levels, and valuation percentiles at the same time. Pulling quotes, K-line data, and PE/PB separately fragments the context, especially when comparing several indices. DeepQ Index Analysis consolidates these requests into a single natural-language task, suitable for broad-based or sector indices such as CSI 300, CSI 500, and ChiNext.

How It Works

The skill depends on the DeepQ MCP Server, which must be configured in the agent with DEEPQ_API_KEY available. The query parameter can use common names like “CSI 300” or “ChiNext” directly, without manual code entry. It supports:
- Real-time quotes: latest points, change, and turnover
- Historical quotes: price path and funding flow for a date range
- Interval performance: aggregated gains and losses over a period
- Technical analysis: trend, support and resistance, technical signals
- Valuation analysis: PE/PB historical percentile and relative level

For a full report, it can fetch multiple data sets in parallel, then organize the output into real-time quotes, interval performance, technicals, valuation, and overall judgment. It also supports side-by-side comparison across multiple indices.

Boundaries

This is a data and analysis tool, not a substitute for investment research or trading decisions. A valuation percentile above 80% is usually treated as an overvalued zone and should be interpreted with market context. In WorkBuddy, configuration changes require a restart and a new task to avoid stale session state.