Intelligence Impact

2026-09-30 (AJ: monetization gap-analysis session -- asked "重有咩 有差距的可收費", identified relationship/impact data as the one genuinely missing, genuinely buildable, genuinely differentiated layer vs. generic financial data APIs that only sell price + fundamentals): given a ticker, who is upstream (suppliers), downstream (customers), same-sector (peers), and directly competing (competitors) -- plus market-wide capital flow and this ticker's CFTC futures-positioning context if applicable, composed from services/relationship_graph_service.py, services/capital_flow_ engine.py, and services/cftc_cot_service.py (all pre-existing, real data sources -- nothing new fetched here, just a new composition).

Supplier/customer/competitor relationships are a hand-curated STARTING set (see relationship_graph_service.py's module docstring for sourcing and scope) -- a ticker outside that set returns an honest empty list for those three fields (never a guess), while sector_peers still populates from the existing sector-tagged US basket for any US large-cap ticker.