How ETF Radar Works

ETF Radar runs automated crawlers that continuously fetch articles from multiple financial RSS feeds. These sources include major financial news outlets and market data providers. The crawlers run around the clock, checking for new articles every few minutes. Currently, the system tracks 38 ETFs across 6 sectors.

Each fetched article is parsed to extract its title, content, source, and publication time. The system removes duplicate articles that appear across multiple feeds — the same story from Reuters might show up in 5 different RSS feeds, but ETF Radar keeps only one copy.

This is the core of the system. Not every article is worth reading. The filtering engine removes low-quality content — clickbait headlines, generic market summaries with no specific information, and promotional content. Remaining articles are classified by impact level: High (market-moving events like earnings surprises, policy decisions), Medium (notable sector developments), or Info (general background context).

Each filtered article is analyzed and mapped to the relevant ETFs. An article about NVIDIA earnings gets assigned to SMH (semiconductors). A story about Fed rate decisions goes to TLT and AGG (bonds). An article about lithium supply gets routed to LIT. Some articles are relevant to multiple ETFs and appear in several feeds.

The processed articles appear in the live dashboard within minutes of being published at their source. Users can select any ETF from the sidebar to see only its news. The feed loads more articles automatically as you scroll. Registered users can pin favorite ETFs for quick access.

ETF Radar is strictly an information aggregate. It does not provide investment advice, price targets, buy/sell recommendations, or portfolio suggestions. It collects and organizes publicly available news — nothing more, nothing less.