Built a sentiment analysis pipeline using FinBERT embeddings and the Loughran-McDonald financial sentiment dictionary to predict Magnificent 7 stock price movements following earnings calls. Trained and compared Random Forest and XGBoost classifiers on the resulting sentiment features, then backtested the pipeline to validate model stability.