Article Search

When you know something is happening — AI chip demand, pharmaceutical approvals, a trade dispute — but you cannot find the relevant articles quickly, you are working blind. Standard keyword search fails for market research because financial context is rarely literal: an article about "logistics disruption" is relevant to your shipping stock even if it never names the ticker.

Swingtrader's article search understands meaning, not just keywords.

Semantic search

When you type a query, Swingtrader converts it into a dense embedding and searches against the vector index of all ingested articles. The result is ranked by conceptual similarity — articles that are about the same thing even when they use different words.

Searching for "central bank policy tightening" will surface articles about rate hikes, quantitative tightening, and Fed minutes — not just articles that use the exact phrase. Searching for "China supply chain risk" will find articles about port disruptions, tariff escalation, and semiconductor export controls that are thematically related, even if they are not obviously connected at first glance.