Your pipeline just missed a critical anomaly: a 24-hour momentum spike of +0.293. This surge is tied to a story emerging from the Spanish press, specifically surrounding allegations of large-scale banking fraud involving Anil Ambani's ADAG. With the leading language being Spanish and a perfect lag of 0.0 hours, this isn't just a minor blip. It’s a signal that your models might not be designed to catch, especially if they lack the capacity to handle multilingual data or recognize the significance of entity dominance in news narratives. Spanish coverage led by 28.5 hours. Sv at T+28.5h. Confidence scores: Spanish 0.90, English 0.90, French 0.90 Source: Pulsebit /sentiment_by_lang. If your model is not set up to account for these factors, you've missed this anomaly by a staggering 28.5 hours! The implications are serious. This isn't just about the sentiment around "banking"; it’s about understanding how narratives in different languages can influence market perception.…