Finster adds qualitative search to traditional screening workflows

Earnings season compresses vast amounts of data into a short timeframe, making it challenging to identify key signals. Traditional screening tools help with basic filtering, but often miss the event-driven context that moves markets. Finster’s AI Screener bridges this gap by combining quantitative metrics with qualitative insights.

Screener takes you from broad company universes to context-rich shortlists in minutes. By combining quantitative financial filters with natural-language search, Screener allows analysts to draw out insights from across their coverage list, at speed. 

Start with a public index or upload a watchlist. For example, filter for US companies with declining revenue in the energy or industrial sectors, then ask:

Who downgraded guidance? Missed earnings? Changed leadership? Announced M&A or new products?

Finster’s Screener scans SEC filings, transcripts, press releases, and investor materials to return sourced answers with full citations. It helps you understand the context behind the numbers, such as whether a revenue drop stems from a strategic asset sale or operational decline.

Use Screener for idea generation, earnings prep, red flag checks, and coverage expansion. All data is traceable and sourced directly from company filings and transcripts.

Want to see Screener in action? Reach out to schedule a demo.