1. **Analyze the Request:** * **Keyword:** "Oracle Stock Price By Date". * **Context:** Mentions William Blair, Citi Research (Tyler Radke), general Oracle stock discussion, links to Patreon/MarketBeat (ignore the links, use the context if applicable). * **Requirements:** 600-900 words, SEO-friendly, concise, factual, safe HTML tags (h2, h3, p, ul, ol, li, strong, em), no markdown fences, natural headings, avoid unsupported claims, no AI mention. 2. **Determine the Strategy:** * **Topic Focus:** The keyword "Oracle Stock Price By Date" suggests a historical or analytical look at Oracle's stock performance over time. It's not just a data table request; it needs to be an article explaining *how* to look at it, what influences it, and key historical moments. * **Structure:** * Introduction: Define Oracle, the importance of tracking stock price by date, and current market sentiment. * How to Track Oracle Stock Price by Date: Practical steps (charts, historical data). * Historical Performance Analysis: Discuss trends (long-term vs. short-term). * Key Factors Influencing Price: Cloud growth, acquisitions, analyst opinions (incorporating context about William Blair/Citi). * Analytical Insights: Moving averages, volatility. * Conclusion: Summary. * **Tone:** Professional, financial, informative. * **Context Integration:** * *William Blair:* Likely an analyst rating or price target. I'll mention analyst ratings generally or specific bullish sentiments if I can frame it factually based on general knowledge of William Blair's tech coverage (usually constructive on enterprise software). *Self-correction:* The prompt context is sparse ("William Blair named"). I shouldn't invent a specific report date if I don't have it, but I can mention that firms like William Blair provide ratings that impact price movement on specific dates. * *Tyler Radke (Citi):* Mention Citi's role in evaluating Oracle's software sector performance. 3. **Drafting - Section by Section:** * **Title:** Something SEO-friendly like "Tracking Oracle Stock Price By Date: A Historical Analysis and Guide". * **Introduction:** Start with Oracle Corp (ORCL). Mention it's a tech giant. Define what "stock price by date" means (historical data). * **H2: Accessing Historical Oracle Stock Data:** * Explain where to find data (financial websites). * Explain the granularity (daily, weekly, monthly close). * Mention adjusted close prices (crucial for dividends/splits). * **H2: Major Historical Trends in Oracle Valuation:** * Discuss the transition from on-premise databases to cloud infrastructure. * Mention the general upward trajectory over the last decade. * Note volatility during tech market corrections. * **H2: How Analyst Ratings Impact Daily Price Movements:** * *Context Integration:* Bring in Tyler Radke (Citi). Explain how analyst commentary from major firms like Citi influences the price on specific dates. * *Context Integration:* Mention William Blair. Analyst firms provide upgrades/downgrades that cause sharp moves. * Explain the mechanism: A report comes out -> price reacts immediately. * **H2: Key Technical Indicators for Date-Based Analysis:** * Moving Averages (50-day, 200-day). * Support and Resistance levels. * Why looking at specific dates helps identify breakouts. * **H2: Understanding Splits and Dividends in Historical Data:** * Oracle has a history of dividends. * Stock splits (though rare recently, historical data must account for them). * Explain "Price Adjusted" vs. "Unadjusted". * **Conclusion:** Wrap up. Emphasize that while historical data helps, future outlook depends on cloud growth. 4. **Refining and Formatting (HTML):** * Check word count. (Aiming for ~700 words). * Ensure tags are strictly `h2`, `h3`, `