Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Abstract: This research introduces a high-precision sentiment analysis framework tailored for global stock market news, integrating transformer-based financial NLP models with event-aware and temporal ...
Abstract: Financial sentiment analysis plays a crucial role in interpreting market sentiment from textual data, significantly influencing financial decision-making and forecasting. A common challenge ...
This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...
Regime-based evaluation framework for financial NLP stability. Implements chronological cross-validation, semantic drift quantification via Jensen-Shannon divergence, and multi-faceted robustness ...
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