How ETF Radar Filters Financial News — From RSS to Dashboard

Every day, thousands of financial articles are published across the internet. News wires, analyst blogs, press releases, social media hot takes — the volume is enormous. If you hold ETFs across multiple sectors, keeping up manually is impractical. You would need to check dozens of sources, mentally filter out the noise, and figure out which articles actually affect your holdings.

That is the problem ETF Radar solves.

Step 1: Crawling RSS Feeds

ETF Radar runs automated crawlers that fetch articles from a curated list of financial RSS feeds. These include major financial news providers and market data sources. The crawlers run continuously — not once a day, but every few minutes — so articles appear in the dashboard shortly after being published at their source.

Step 2: Parsing and Deduplication

Raw RSS data is messy. The same story often appears in multiple feeds with slightly different formatting. The parser extracts structured data from each article — title, content summary, source, timestamp — and then runs deduplication to ensure each story appears only once, regardless of how many feeds carried it.

Step 3: Noise Filtering

This is where the value is created. The filtering engine applies heuristics to each article to classify it. Generic "market wrap" articles that say nothing specific? Filtered out. Clickbait headlines with no substance? Gone. Promotional content disguised as news? Removed. What remains are articles with actual informational value — earnings reports, policy decisions, sector developments, supply chain disruptions.

Each surviving article also gets an impact rating: High (potentially market-moving), Medium (notable development), or Info (useful background context).

Step 4: ETF Routing

The filtered article is then analyzed to determine which ETFs it affects. An article about TSMC earnings is relevant to SMH (semiconductors). A piece about lithium supply from Chile belongs in the LIT (lithium) feed. Some articles — like a broad market sell-off — are relevant to multiple ETFs and appear in several feeds.

The Result

By the time an article reaches your dashboard, it has been fetched, parsed, deduplicated, quality-filtered, impact-rated, and routed to the correct ETFs. You see a clean, per-ETF news stream that you can scan in seconds — instead of spending 30 minutes checking 10 different news sites.