“Considering where this move may ultimately extend, I prefer to keep it simple and anchor to the 161.8% Fibonacci extension. Using the defined move from the February high to the April low, this projects an SPX upside objective near 6,958. And while the third year of a bull market is historically more choppy than the first two years, I don’t think it’s unreasonable to believe we could reach that 6,958 milestone before year-end. A re-escalation in the Middle East, renewed tariff pressures, another round of st ...

Core Viewpoint - The article emphasizes the importance of filtering noise in today's interconnected markets, where wealth managers and advisors need tools to extract valuable signals from the overwhelming amount of information generated by AI, social media, and automated comments [1][2]. Group 1: Market Dynamics - The article discusses how narratives can dominate investor psychology, with 2025's investor sentiment influenced by trade war rhetoric, new tariffs, advancements in China's AI capabilities, and dollar depreciation [1]. - It highlights the rapid response of stock prices to these narratives, with winners' stock prices soaring while losers lag behind, indicating the need for portfolio managers to identify sentiment changes early [1][2]. Group 2: Signal Identification - The article outlines the necessity of early signal identification for emerging macro and thematic drivers, such as tariffs or AI developments, to pinpoint stocks that may benefit or suffer before the market fully reacts [2][9]. - It stresses the importance of using sentiment-driven rankings to favor high-confidence stocks and avoid underperformers, thereby improving risk-adjusted returns [2][9]. Group 3: Data Processing and Analysis - LSEG MarketPsych employs robust news and social media analysis tools to convert unstructured text into structured signals, collecting millions of articles and posts daily, categorized by company or asset class and over 200 economic and behavioral themes [4][10]. - The system scores mentions based on intensity and direction, generating minute-level sentiment and thematic indices for over 100,000 global stocks, which can be easily visualized for advisors and clients [4][10]. Group 4: Predictive Evidence - Quantitative tests of sentiment scores indicate that media and social sentiment not only describe but also predict stock performance, with the top decile of stocks by media sentiment outperforming the bottom decile significantly over three months [5][8]. - This predictive power has been observed globally, with a notable increase in the influence of media on stock prices over the past five years [5][8]. Group 5: Practical Applications - The article describes practical applications for wealth advisors, including theme monitoring for tariff or AI-related sentiment spikes, enabling quick assessments of portfolio risks [9]. - It also discusses idea generation and portfolio construction strategies, suggesting overweighting high-sentiment stocks and underweighting low-sentiment peers to enhance risk-adjusted returns [9]. - Risk management is highlighted, where sudden declines in overall sentiment can serve as early warning signals for profit-taking or underperformance [9]. Group 6: Integration with Fundamental Analysis - The article concludes that sentiment and thematic data should complement fundamental analysis and valuation, providing measurable advantages in a world where the signal-to-noise ratio is deteriorating [10]. - Wealth managers, traders, and investors rely on LSEG MarketPsych's analysis and models to penetrate noise and extract actionable insights, especially during periods of heightened market volatility [10].