A Network Quant Approach to China's Equity Market
The world's second-largest equity market: 5,000+ listed companies, trillion-yuan daily turnover, and a majority-retail order flow that keeps real inefficiencies alive. Numinor brings network data — supply chains, product taxonomies, observed counterparties — to excavate that value, with every methodology shipped as code you can replicate before any contract is signed.
A new kind of data experience
Read it. Prove it. Take it home.
Reading the research — a new study behind every dataset, and the shelf keeps growing.
The arcade — free gadgets to play with.
The Source Data
Four Source Data Dimensions, One Graph
Our research is built on four complementary inputs for Chinese A-shares. Each dimension is interesting on its own. The cross-references between them are where the alpha lives.
Sector, Products & Value Chains
Granular product-level segmentation across 6,000+ industry nodes in a 12-level hierarchy. Maps every A-share company to its real economic function with revenue and gross profit per segment.
News & Sentiment
Real-time NLP-tagged Chinese financial news. Entities, events, per-entity sentiment scores — structured and machine-readable. Tagged to companies and industry nodes alike.
Supply-Chain Networks
Firm-to-firm commercial relationships across all A-share listed companies and bond issuers. Upstream, downstream, second-order — derived from filings and cross-referenced counterparties.
Financial Disclosures
Beyond the three statements. Segment breakdowns, lease obligations, subsidies, related-party transactions — structured from the supplementary notes inside Chinese PDF filings.
Explore the Source Data
The interactive atlas of the source web: the 9-level SAM taxonomy, supply chains, the news tape, and company passports — the raw material the constructs are refined from.
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Construct Data
From Source Data to Construct Data
We refine the four source dimensions into productized, point-in-time data feeds — every claim whitepaper-validated, every row verifiable, delivered daily.
SAM Amplifier Construct Data
Network-dimension factor data feed derived from ChinaScope's foundational SAM. Daily refresh, S3 + signed-URL API.
SAM PM Construct Data
Structure-dimension factor data feed derived from ChinaScope's foundational SAM. Daily refresh, S3 + signed-URL API.
C2C Supply-Chain Construct Data
The observed company-to-company supply-chain edge table for A-share quant — disclosed + bid channels, point-in-time explicit on every row. Daily refresh, S3 + signed-URL API.
Co-Movement Graph Construct Data
A point-in-time news co-movement graph for A-shares, graded by a structural network — deep product peers, SAM supply chain, disclosed customer-supplier, and affiliates — to mark which co-movements are structurally grounded and which have no basis it can see. A risk/correlation overlay (information content, not a return signal). Daily refresh, S3 + signed-URL API.
The Pipeline
How It's Made
Every trading day, the four source dimensions are resolved to listed-company identity, time-stamped as disclosed, pushed through validation gates, and assembled into the Construct Data feeds — the same pipeline behind every number in the white papers.
SOURCE DATA
REFINEMENT
Entity resolution
resolved to listed companies
Point-in-time stamps
as-disclosed · zero look-ahead
Validation gates
hard checks before publish
Daily assembly
rebuilt every trading day
CONSTRUCT DATA
Network
SAM Amplifier
+0.2311
OOS ΔICIR
Structure
SAM PM
+0.352
orth ICIR · OOS
Relationship
C2C Supply-Chain
+0.394
orth ICIR · union
Risk
Co-Movement
+0.065
fwd-corr · OOS
DELIVERY
Delivered Daily — Parquet on S3 · Signed-URL API · Sandbox · MCP agents
Ready to Evaluate?
Read the research, explore the underlying data, and replicate the methodology in the sandbox — all from your browser. Sign up free.