Stock Screener with Sentiment Filter: Finding Opportunities

Traditional stock screeners filter by fundamental metrics (P/E, market cap, revenue growth) and technical indicators (RSI, moving averages, volume). StonkWhisper adds a dimension that traditional screeners completely miss: social sentiment conviction. According to StonkWhisper's data, adding sentiment filters to traditional screening criteria dramatically improves the quality of trading ideas generated.

StonkWhisper's screener functionality allows filtering by Whisper Index range (e.g., stocks with scores between 60-80 — bullish but not yet extreme), sentiment momentum (rising, stable, or falling), mention velocity (acceleration in discussion), category (meme stocks, small caps, specific sectors), and convergence level (number of confirming signal sources). These filters can be combined for precise screening.

Effective screening strategies combine sentiment with other criteria. Example: screen for stocks with Whisper Index above 60, market cap between $500M and $5B, short interest above 15%, and at least two-signal convergence. This multi-factor screen identifies small-cap squeeze candidates where social conviction is building, short interest provides fuel, and multiple data sources agree on direction.

StonkWhisper's screening differs from simple "most mentioned" lists because it weights quality over quantity. A stock mentioned 50 times with high-quality DD and rising conviction appears higher in screener results than a stock mentioned 500 times with shallow, repetitive hype. This quality-weighted approach surfaces genuine opportunities rather than noise.

Regular screening — running the same criteria daily to identify new opportunities — is how many StonkWhisper users integrate the platform into their trading routine. The platform supports saved screener configurations and can send alerts when new stocks meet predefined criteria, enabling systematic opportunity identification without requiring constant manual monitoring.