S&P 500 companies' exposure to China's economy remains a critical factor for global markets. The article examines key risks, the impact of consumer demand in China, examples of vulnerable companies, and possible trade conflict scenarios. Fundamental Analysis of Companies' Dependence on Chinese Consumption The Chinese market remains one of the key engines of growth for the global macroeconomy and consumer demand. With the world’s second-largest economy and a population exceeding 1.4 billion, China ...

... having partially recovered from a correction in the first quarter. The market is cautiously optimistic overall: investors see fundamental improvements in the Ethereum network but remain aware of recent downturns. The total market capitalization of Ethereum ... ... month—this requires assessing the current situation, examining the key factors influencing the price, conducting technical analysis, and exploring possible scenarios for future developments. Key Factors Affecting Ethereum Price in May 2025 Network Upgrades ...

... even direct investments from funds seeking indirect exposure to Bitcoin while hedging risks. Bitcoin Price Outlook: Technical Analysis Following the latest difficulty recalibration, the Bitcoin market exhibits measured optimism. Currently, BTC's consolidation ... .... A deeper safety net for bulls is positioned at $75,000 – the April low, from which BTC sharply rebounded. As long as the fundamental picture (network growth, miner behavior, institutional interest) remains favorable, the likelihood of retesting such ...

... the technical state of the stablecoin market. It is currently minimal, indicating a state of equilibrium. Overall, technical analysis confirms that USDT remains highly stable, with no alarming signals (such as rising discounts or volatility) observed ... ... investor, this means that under normal conditions, holding USDT carries no risk of price depreciation—much more critical are the fundamental and regulatory factors discussed above. Prospects for Stablecoins in 2025 The stablecoin market in 2025 is expected ...

... ability to learn. Robots operate solely based on the code developed by programmers and do not have self-improvement capabilities. Neural networks can analyze not only current market movements but also nearly any dataset. This allows for the integration of fundamental information with technical analysis. Neural networks are capable of processing vast amounts of incoming data simultaneously, learning, and quickly adapting to any market fluctuations. Unlike trading robots, neural networks do not require programmers to restructure them for new ...