After experiencing its third consecutive session of losses and slipping to multi-month lows, Microsoft’s share price has pulled back to its 260-day moving average—an area that has historically signaled a bullish reversal. According to Schaeffer’s Senior Quantitative Analyst Rocky White, the stock traded within three-quarters of its 20-day average true range around this trendline after remaining above it 80% of the time over the prior two weeks. This pattern has occurred nine times in the past decade, with the stock rallying one month later in seven of those instances and delivering an average advance of nearly 4%. Such technical evidence suggests that investors positioning around this key trendline could capture a meaningful upside in the weeks ahead.

Morgan Stanley recently upgraded its outlook on Microsoft stock, arguing that heavy corporate adoption of the company’s AI offerings has not yet been fully reflected in the share price. The bank’s research team described the equity as “well underpriced,” noting strong demand for Microsoft 365 Copilot and Azure AI services among enterprise clients. This bullish sentiment aligns with a pronounced skew in options activity: the 50-day put/call volume ratio ranks above 70% of readings over the past year, indicating that sophisticated traders are positioning for an upside move. Collectively, these factors underscore a growing consensus that the recent pullback represents a buying opportunity ahead of next quarter’s earnings report.

Microsoft’s deepening partnership with Anthropic marks a pivotal shift in its AI strategy and underscores the company’s commitment to a multi-model approach. The firm is on pace to allocate around half a billion dollars annually to Anthropic’s Claude models—now the default for most business customers—and has integrated them alongside OpenAI’s technology across Microsoft 365 Copilot and Azure cloud services. Anthropic’s enterprise revenue run rate is projected to approach $9 billion by year-end 2025, with estimates soaring to between $20 billion and $26 billion in 2026. By routing tasks to the model best suited—whether for complex spreadsheet analysis, long-form document processing or high-volume email drafting—Microsoft can optimize performance, manage unit economics and mitigate supplier concentration risk. This model-agnostic framework is expected to accelerate Azure adoption, bolster Copilot’s feature set and ultimately reinforce Microsoft’s leadership in enterprise AI solutions.