sector-rotation-detector

To identify sector rotation signals in the A-share market, you aggregate macro-economic indicators and map them to economic cycle stages. This process translates macro data into structured per-industry signals, scenario analysis, and risk framing for actionable sector allocations.

Sector rotation analysis in China markets uses macro indicators mapped to economic cycle stages to forecast outperforming sectors. The framework evaluates conditions like rising or falling growth and inflation to generate a structured macro dashboard and per-industry investment signals.

You map economic cycle stages to sector allocations by applying a macro-sector framework that classifies current conditions and generates scenario analysis. This approach provides structured risk framing and per-industry signals to guide overweight and underweight decisions over a 6 to 12 month horizon.

Yes, you can generate scenario analysis for A-share investments under shifting growth, inflation, and policy conditions. The macro-sector framework provides a structured view of potential outcomes, translating these macro shifts into actionable per-sector signals and risk framing.

No, the macro-sector framework eliminates manual data synthesis by automatically aggregating macro indicators to produce per-industry signals. It directly outputs a macro dashboard, economic cycle classification, and risk notes, reducing guesswork for investment professionals.

The best way to translate macro-economic signals into actionable sector rotation recommendations is using a cycle-aware framework that classifies economic stages. This approach outputs a per-sector signal table with rationale and risk notes, specifically designed for China market allocations.