TradingKey

TradingKey - Shares of Micron Technology (MU) fell 3.88% on Monday to close at $989.04, declining for a third consecutive trading day and breaking below the $1,000 mark. Technological advances by Chinese memory chipmaker ChangXin Memory Technologies, coupled with market concerns over future memory pricing trends, are putting fresh pressure on the industry.

TradingKey - On October 12, Eastern Time, as tensions in the Middle East escalated, the three major U.S. stock indices posted mixed results, with memory stocks falling after Chinese DRAM manufacturer Changxin Memory Technology announced a new memory architecture.

TradingKey - On October 13, Japanese and South Korean stock markets weakened in tandem during early trading, with losses in South Korea expanding further. The Korea Composite Stock Price Index (KOSPI) opened down 3.10% at 6,186.08 points, subsequently extending its decline to 4.37% at 6,105.50 points; Japan's Nikkei 225 Index (N225) opened 0.68% lower at 68,564.85 points, later widening its loss to 1.86% at 67,745.61 points.

• XRP declined due to profit-taking after Evernorth Holdings' Nasdaq debut lacked spot demand. • Breaching key support levels triggered long liquidations and accelerated the downward price movement. • Spot exchange-traded products maintained positive net capital inflows despite the intraday weakness.

• BNB price declined due to broader risk-off consolidation and macroeconomic uncertainty. • Technical resistance and derivatives leverage reduction triggered systematic short-term profit-taking. • Core on-chain metrics remain stable despite the short-term market contraction.

• Solana fell due to SkyAI reserve liquidations and slowing institutional inflows. • Macroeconomic headwinds and long liquidations amplified downside pressure and volatility. • Technical indicators show neutral MACD, neutral RSI, and oversold Williams %R.

• Ethereum faced downside pressure from macro headwinds and persistent institutional outflows. • Decelerating network activity and liquidated leveraged long positions exacerbated price declines. • Technical indicators show neutral signals alongside an oversold Williams %R condition.

Elon Musk, founder of Tesla (TSLA) and SpaceX (SPCX), stated on the social media platform X that once China masters the manufacturing process of a product, its ability to scale production far surpasses the rest of the world. Citing lithium batteries and solar products as examples, he noted that China holds a clear advantage in manufacturing scalability. He added that SpaceX is a rare exception, as the United States still delivers significantly more mass into orbit than the rest of the world in rocket launches.

Escalating tensions in the Middle East conflict left the three major U.S. stock indices mixed, while memory stocks fell after Chinese DRAM manufacturer ChangXin Memory Technologies (CXMT) unveiled a new memory architecture. At the close, the Dow Jones Industrial Average rose 0.38% to 51,850.55 points; the Nasdaq Composite Index fell 0.44% to 27,245.90 points; and the S&P 500 Index dipped 0.06% to 7,807.24 points.

• Analysts trimmed price targets amid execution risks and valuation recalibration concerns. • Technical indicators show mixed momentum signals alongside strong multi-year backlogs. • Annual revenue reached $1.42 billion with net profit at $81.84 million.

• Onto Innovation shares declined due to sector-wide profit-taking and momentum selling. • The pullback occurred despite positive operational updates and a record order backlog. • Technical indicators show a neutral RSI and an oversold Williams percentage range.

• Credo Technology shares dropped after its 1.6T cable shipments were delayed to 2027. • Executive insider share sales and lowered Wall Street price targets increased market caution. • Elevated valuations, customer concentration risks, and broader sector headwinds triggered profit-taking.

• MACOM shares declined due to broader semiconductor sector retrenchment and profit-taking. • Executive insider stock sales and macroeconomic signals added short-term selling pressure. • The company reports annual revenue of $967.26M and a net loss.

• Webster Financial delisted from the NYSE following its acquisition by Banco Santander. • The corporate buyout concluded with regulatory approvals and share conversion for investors. • Webster generated $2.85 billion in annual revenue and $974.86 million in profit.

• Hewlett Packard Enterprise shares pulled back due to broad profit-taking and insider sales. • Technical indicators show a MACD buy signal and an RSI neutral market condition. • The company reported annual revenue of $34.30 billion with a net loss.

• Oracle faced selling pressure due to counterparty risks from AI partners. • Aggressive capital expenditures drove free cash flow into negative territory. • Supply chain hurdles and regulatory delays introduced operational execution risks.

• TTM Technologies announced a $400 million investment to expand Asian production facilities. • Investors reacted negatively due to capital intensity and lack of short-term guidance. • The stock faced profit-taking amid elevated valuations and geopolitical supply chain concerns.

• IonQ agreed to acquire Elisity in an all-stock transaction valued up to $1.3 billion. • Investors raised equity dilution concerns due to newly issued equity and limited financial disclosures. • Broader quantum sector peers declined amid macroeconomic pressures and elevated Treasury yields.

• Moderna shares declined as investors engaged in profit-taking following recent gains. • Wall Street analysts highlighted valuation friction due to unprofitability and high cash burn. • The company reported an annual revenue of $1.94B and a net loss.

Microsoft (MSFT) said it plans to deploy its next-generation in-house AI chip, Maia 300, in data centers starting next year and expand the deployment scale of the Maia series to several gigawatts, aiming to power its AI software primarily with in-house hardware and reduce reliance on Nvidia GPUs. The Maia chip is specifically designed for AI inference—using existing models to perform tasks such as summarizing meetings and answering research questions. Microsoft expects that compared to leading GPU systems, Maia 300 will generate 40% more tokens per megawatt. A token is the basic unit of measurement for AI output, typically corresponding to a word or part of a word; this metric measures output capacity per unit of power.