Cross-market news monitor
Read a consolidated wire with market, date and watchlist filters.
AI APPLICATION / INTELLIGENT INVESTING
A bilingual research workbench that connects market news, AI-assisted reading, company analysis and industry context across US, China A-share and Hong Kong markets.
01 / THE PROJECT
Market research moves between headlines, charts, company fundamentals and industry context. Lantern brings these views into one workspace. Its data pipeline integrates and labels sources, clusters related stories and adds AI-assisted reading, while company and industry views support deeper investigation without losing the original context.
02 / PRODUCT CAPABILITIES
Read a consolidated wire with market, date and watchlist filters.
Connect selected news to ranked briefings and structured AI reading.
Inspect market indices alongside selected news-event markers.
Bring price history, profiles, fundamentals, peers and updates into a company view.
Explore value chains, competition, sector updates and tracking metrics.
Combine market-session information with optional AI analysis in post-market reports.
03 / EXPLORE THE EXPERIENCE
Explore the three connected views in a typical research journey.
ILLUSTRATIVE WORKFLOW / 01
A shared news stream brings market context and selected stories into the same view.
Fictional research example — no live market information.
ILLUSTRATIVE WORKFLOW / 02
Price history, business information and related updates form a company research context.
ILLUSTRATIVE WORKFLOW / 03
A value-chain view connects suppliers, infrastructure and downstream businesses.
Interactive illustration · sample content · no live model calls, account actions or current availability checks. Use the tabs or play a short walkthrough.
04 / BEHIND THE EXPERIENCE
Ordered providers, timeouts, validation and circuit breakers handle unreliable sources. Cached fallback data is explicitly labelled.
Cross-source headline deduplication and story clustering connect repeated reports to a coherent research context.
Cached bilingual reads and background research generation combine model output with source checks.
WebSocket updates, sequence-based reconnection and snapshot recovery keep a dense research interface synchronized.
NEXT PROJECT
Bring us your industry, your workflows and your next challenge. We’ll help connect the right model capabilities to a useful product.
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