Structured Product Quote Monitoring + Decision Support
Manually calling multiple brokers for structured product quotes is inefficient, and KO trigger probability is guesswork — Ginkgo aggregates multi-broker quotes + analyst consensus + KO vs. target price side-by-side visualisation.
SCENARIO
Business Scenario
Family offices have ongoing investment demand in structured products (FCN fixed coupon / AQ accumulator / DQ decumulator etc.). Two layers of traditional pain: (1) Fragmented quoting — PMs contact each private bank / broker individually to obtain quotes, with responses scattered across broker systems and emails making cross-comparison difficult. Matching preset target parameters (e.g. AAPL coupon ≥12% / 4M tenor / 110% knock-out) against live quotes requires manual review of every broker, causing quality opportunities to be missed. (2) Decision support gap — KO price level decisions require professional-grade analysis (underlying volatility / full-market analyst consensus target price / 1-year price forecast). PMs switch between Bloomberg / sell-side research / Excel to gather data and estimate KO trigger probability by intuition, with no intuitive visualisation comparing KO levels vs. analyst target prices.
MECHANISM
Mechanism · Three-Core Combination
Powered by Decoder + Horizon + Polymorph three-core combination
Decoder
Pulls multi-broker structured product quotes directly via quote system APIs (instrument / coupon / tenor / knock-out / strike / guarantee period / settlement frequency and other structured fields) into the database in real time. Simultaneously ingests underlying market data + full-market analyst coverage data (target price / buy-sell rating / rating).
Horizon
Client presets monitoring parameters (instrument list + coupon threshold + tenor range + knock-out range + settlement frequency etc.); the system matches new market quotes daily — qualifying quotes automatically appear on the monitoring table ranked by analyst recommendation strength.
Polymorph
Each matching quote comes with a deep decision panel — underlying live price / volatility + full-market analyst coverage statistics (number of analysts / buy-neutral-sell ratio / rating / target price range / average target price implied upside, dynamically displayed based on actual coverage for that instrument) + historical price chart + 1-year target price fan chart + KO levels (1st / 2nd / 3rd / 4th KO) vs. analyst target price intuitive visualisation. PM assesses KO trigger probability at a glance and triggers quote-lock decisions directly.