Futures-options traders work on the floor at the New York Stock Exchange in New York City on 30 October 2026. Futures-options traders work on the floor at the New York Stock Exchange in New York City on 30 October 2026. A sell-off of tech stocks that began earlier this month and gained steam with disappointing earnings from leading tech companies drove US markets down by hundreds of billions of dollars Friday. In total, the decline has knocked nearly $1tn in value off the tech-heavy Nasdaq exchange in one week and erased about $2tn in a month. The S&P 500, the index of the 500 most valuable companies in the US, fell by more than 1% Friday, losing hundreds of billions of dollars in market value. It was on track to erase its gain for October, even though it set its all-time high during the same month.

An options trader works on the floor of the New York Stock Exchange on 7 January 2026. An options trader works on the floor of the New York Stock Exchange on 7 January 2026. The latest shudder for stocks in the AI industry pulled markets lower worldwide on Thursday, while oil prices hit their highest levels since May on worries about the war with Iran . The S&P 500 fell 1.2% for its worst day since July, while the Nasdaq composite tumbled 2.6%. The weakness for tech stocks was so overwhelming that it masked strength for the rest of the US market, in which the majority of stocks actually rose.

A screen displays stock market index data as traders work on the floor at the New York Stock Exchange in New York City on Tuesday. A screen displays stock market index data as traders work on the floor at the New York Stock Exchange in New York City on Tuesday. S&P 500 shot up 1.8% and the main measure of Wall Street's health topped its prior all-time high set a few months ago Tue 4 Aug 2026 16.56 EDTLast modified on Tue 4 Aug 2026 18.03 EDT The US stock market rallied to records on Tuesday as profits kept piling up for companies and as oil prices eased. The S&P 500 shot up 1.8%, and the main measure of Wall Street's health topped its prior all-time high set a couple months ago. The Dow Jones industrial average added 907 points, or 1.7%, to its own record set the day before, while the Nasdaq composite jumped 2.6%.

Traders work on the floor at the New York Stock Exchange on 22 June 2026. Traders work on the floor at the New York Stock Exchange on 22 June 2026. A tech sell-off shook global markets on Tuesday as attention turned away from developments in the US war with Iran and toward the future of AI companies and chipmakers that have driven stock markets to record highs. The tech-heavy Nasdaq index closed 2.2% lower on Tuesday. The S&P 500 was also down by Tuesday afternoon, dropping 1.43% while the Dow remained steady.

The boom-and-bust cycle has always been a feature of capitalism, and--capturing as it does the human traits of creativity, hope, greed,, anxiety, and panic--it always will be. Creativity gives rise to technological progress and transformative inventions, which provide a new driving force for the economy and a focal point for investors. Today, we are living through another speculative boom. This time the transformative invention is, of course, A.I., and last week's SpaceX I.P.O. While Elon Musk's creation is an impressive rocket-and-satellite company, the stunning $1.78-trillion valuation of the I.P.O. was largely based on its ambitions to build A.I. data centers in space, which remain largely untested .

Elizabeth Warren is a U.S. Senator from Massachusetts. Senator Elizabeth Warren speaks on the floor of the New York Stock Exchange on Wall Street on April 17, 2025 in New York City. Senator Elizabeth Warren speaks on the floor of the New York Stock Exchange on Wall Street on April 17, 2025 in New York City. Elizabeth Warren is a U.S. Senator from Massachusetts. Americans are hanging on by their fingernails in an economy that funnels wealth to the ultra-rich and leaves crumbs for working people.

Traders on the floor of the New York Stock Exchange as markets fell on Friday morning trading after a steep drop on Thursday, as investors continue to worry about the impact of AI on business and the wider economy. Traders on the floor of the New York Stock Exchange as markets fell on Friday morning trading after a steep drop on Thursday, as investors continue to worry about the impact of AI on business and the wider economy. The message from investors to the software, wealth management, legal services and logistics industries this month has been clear: AI is coming for your business. The release of new, ever more powerful AI tools has coincided with a stock market slide, which has swept up sectors as diverse as drug distribution, commercial property and price comparison sites. Advances in the technology are giving increasing credulity to predictions that it could render millions of white-collar jobs obsolete - or, at least, eat into the profits of established companies.

Fears of a growing bubble around the artificial intelligence frenzy resurfaced on Thursday as leading US stock markets fell, less than 24 hours after strong results from chipmaker Nvidia sparked a rally. Wall Street initially rose after Nvidia, the world's largest public company, reassured investors of strong demand for its advanced data center chips. But the relief dissipated, and technology stocks at the heart of the AI boom came under pressure. The benchmark S&P 500 closed down 1.6%, and the Dow Jones industrial average closed down 0.8% in New York. The tech-focused Nasdaq Composite closed down 2.2%.

As some financial leaders fret publicly about the stock market falling to earth, Andrew Ross Sorkin's new book recounts the greatest crash of them all. As stocks plummeted on the morning of October 24th, 1929, a large crowd gathered on Wall Street outside of the New York Stock Exchange. Pat Bologna, a local shoeshiner whose life savings were invested in the market, dodged into a packed brokerage nearby. "Everybody is shouting," he later recalled. "They're all trying to reach the glass booth where the clerks are. Everybody wants to sell out. The boy at the quotation board is running scared. He can't keep up with the speed of the way stocks are dropping. The guy who runs it is Irish. I can't hear what he's saying. But a guy near me shouts, 'the sonofabitch has sold me out!' " The stock-market crash of 1929 occupies a dark but indelible place in the national imagination, and for good reason.

Navigating the intricate landscape of financial markets requires adept forecasting of stock price movements. This paper delves into the potential of Long Short-Term Memory (LSTM) networks for predicting stock dynamics, with a focus on discerning nuanced rise and fall patterns. Leveraging a dataset from the New York Stock Exchange (NYSE), the study incorporates multiple features to enhance LSTM's capacity in capturing complex patterns. Visualization of key attributes, such as opening, closing, low, and high prices, aids in unraveling subtle distinctions crucial for comprehensive market understanding. The meticulously crafted LSTM input structure, inspired by established guidelines, incorporates both price and volume attributes over a 25-day time step, enabling the model to capture temporal intricacies. A comprehensive methodology, including hyperparameter tuning with Grid Search, Early Stopping, and Callback mechanisms, leads to a remarkable 53% improvement in predictive accuracy. The study concludes with insights into model robustness, contributions to financial forecasting literature, and a roadmap for real-time stock market prediction. The amalgamation of LSTM networks, strategic hyperparameter tuning, and informed feature selection presents a potent framework for advancing the accuracy of stock price predictions, contributing substantively to financial time series forecasting discourse.