Potential Stock Mining in Supply Chains

Problem

Single-stock screening often starts from price charts or capital flows, but supply-chain opportunities usually sit in a different structure: where upstream momentum transmits, which segment is undervalued, and which niche leader is still overlooked. This skill is aimed at buy-side analysts, sector researchers, and industry practitioners who need to map public A-share supply chains from listed-company data and identify “hidden champions” with high share but low attention, or more elastic substitutes when leading names are expensive.

How It Works

It generates a structured report through the following path:
- Supply-chain map: upstream, midstream, and downstream structure
- Transmission logic: where momentum comes from and where it flows
- Hidden-champion screening: niche leaders, high market share, low attention
- Elasticity assessment: earnings, valuation, and event sensitivity
It cross-checks public sources such as financial reports and announcements, business registration, tender data, patents, and industry news. Coverage spans manufacturing and non-manufacturing chains including new energy, semiconductors, robotics, AI compute, consumer, pharma, and cyclicals. Queries should be specific chain names, such as humanoid robot supply chain or solid-state battery supply chain, and the skill calls the fixed template template_Rezekd to produce the report.

Boundaries

It fits chain analysis with enough public listed-company data. It does not cover non-listed or primary-market companies, K-line/MACD signals, real-time orders, capacity utilization, or trade-timing advice. Empty, overly broad, or purely thematic inputs can fail or become unfocused; narrow the scope to a sub-chain first and confirm that public data exists for cross-validation.