Markets often behave like pendulum, swinging between extremes of optimism and pessimism. Read why attempting to time market ...

Amid earnings and conferences, a packed week of macro releases could reshape the growth and inflation narratives heading into ...

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).

President Donald Trump was expected to announce an initiative at the World Economic Forum that would make it easier for homebuyers to use retirement savings to fund down payments. Using 401(k) money ...

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 ...

TOKYO, Dec 15 (Reuters) - Big Japanese manufacturers' business sentiment hit a four-year high in the three months to December, a closely watched survey showed on Monday, reinforcing market ...

Q4 started strong for crypto and DeFi after a broadly bullish Q3, but markets quickly slid into uncertainty as hopes of macro easing faded and artificial intelligence (AI) overvaluation fears rose.

AI-Powered Smart Financial Advisor - Stock prediction, sentiment analysis, and portfolio optimization using LSTM, VADER NLP, and Modern Portfolio Theory - Pranvkumar/Smart_Financial_Advisor ...

Companies are increasingly relying on generative AI to help draft their financial reports, aiming to save time and money, but also raising questions on trust and transparency in executives’ efforts to ...

Good morning. Analysts and investors increasingly are using generative AI to review earnings calls, but new research suggests large language models (LLMs) may soon become powerful tools for stock ...