Your pipeline has a serious gap: we just recorded a 24h momentum spike of +0.264 in renewable energy sentiment that you might have completely missed. This spike indicates a notable shift in sentiment around the topic, particularly driven by English-language articles that have been leading the charge. The dominant sentiment around renewable energy, coupled with a relatively low lag time of 27.7 hours, highlights how rapidly sentiment can shift, especially in a field as dynamic as renewable energy. If your model isn't equipped to handle multilingual origins or entity dominance, you could be trailing behind by significant hours. In this case, English press articles constituted the primary source of this momentum, and without a robust mechanism to filter for language or regional sentiment, you might find your insights outdated. Your model missed this by 27.7 hours, which is a lifetime in the fast-paced world of energy investments. English coverage led by 27.7 hours. No at T+27.7h.…