Data-Driven Stock Price Prediction Using Technical, Sentiment & Market Indicators

Act as a financial data analyst. Using a structured, data-driven approach, evaluate the potential future price movement of [Ticker]. Analyze the following inputs: (1) historical price trends and patterns, (2) key technical indicators (e.g., moving averages, RSI, MACD, volume), and (3) market sentiment derived from news, social media, and investor behavior. Integrate these factors to forecast the likely short-term and medium-term price direction (bullish, bearish, or neutral). Provide a clear explanation of the reasoning, highlight key influencing factors, include potential risks or uncertainties, and avoid making absolute predictions.