The exploration of Natural Language Generation (NLG) models for purposes beyond their traditional scope, such as trading forecasting, presents a interesting intersection of artificial intelligence applications. NLG models, typically employed to convert structured data into human-readable text, leverage sophisticated algorithms that can theoretically be adapted to other domains, including financial forecasting. This potential stems from