All work
大數據即時資料視覺化

Stock Center

Market data brought together, so trends are easier to read.

Private product — not public

Challenge

Quotes, financials, holdings and news each have their own formats and cadence. Volume is high and latency-sensitive. Scattered data means researchers spend 80% of their time collecting, 20% reading.

Solution

A unified pipeline converges multiple sources into one data model with a caching layer; dashboards and visualization flip the workflow to "read the signal first, drill into detail second."

Architecture

Scheduled ingestion, time-series storage, an API layer and dashboard frontend. High-frequency data flows through caching and incremental updates to keep panels smooth.

Results

Content pending (results are managed in the CMS and published once confirmed).

Next case

3LLM AI Score Prediction

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