Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...

When profit-taking unfolds in MU and its peers, relatively oversold software stocks could benefit . A ratio of ETFs representing semiconductors versus software has completed a short-term double top ...

"You use AI, or you fall behind," said Erik Smolinski, an options trader who has consistently beaten the S&P 500 to become ...

Palladyne AI (PDYN) pivots to a defense contractor with DoD wins, $17M backlog, and a 2026 revenue outlook. Read here for a ...

Peter Gratton, Ph.D., is a New Orleans-based editor and professor with over 20 years of experience in investing, economics, and public policy. Peter began covering markets at Multex (Reuters) and has ...

Insights by an AI model suggest that software giant Palantir s likely to see its stock record modest upside by the end of the ...

President Donald Trump’s latest financial disclosure has drawn scrutiny for its astonishing scale: 3,711 trades, almost entirely in shares of companies across America, including many whose fortunes ...

TC Energy Corporation operates 58,000 miles of natural gas pipelines across North America, transporting 30% of the continent’s supply. TRP is positioned to benefit from rising AI-driven energy demand ...

Trina Paul is a Breaking News and Personal Finance Writer at Investopedia, covering topics like retirement, consumer debt, and retail investing. She focuses on making complex financial topics ...

Apple (AAPL) executive avoids $38,000-$78,000 tax bill using NUA: 15% capital gains on $420,000 appreciation instead of 24% ordinary income. Selling appreciated AAPL shares across multiple years ...

Abstract: Due to its timeless appeal, gold has always been a popular investment option. This paper presents a fresh method to gold price prediction by combining the Bidirectional Long Short-Term ...

This repository contains a capstone project for time series stock analysis using historical NSE/BSE stock data. The goal is to build a complete pipeline from raw data acquisition and preprocessing ...