Alphaear Sentiment

This one's for analyzing sentiment in financial text, which is trickier than general sentiment because "restructuring" or "volatility" hit differently in markets. You get two modes: FinBERT running locally for speed when you're batch processing news headlines, or you can have the LLM do it when you need actual reasoning about why something's bullish or bearish. Returns a score from negative one to positive one plus a label and explanation. The batch processing method is handy if you're maintaining a news database and need to catch up on sentiment scores. Straightforward tool if you're building anything that needs to gauge market mood from text.