Predicting Stock Market Trends with AI

Develop a machine learning model that analyzes historical stock market data, financial news, and economic indicators to predict stock trends. Incorporate techniques such as time-series analysis, sentiment analysis, and feature engineering to improve model accuracy. Consider using a combination of supervised and unsupervised learning approaches to identify patterns and relationships in the data. Include a detailed explanation of the model's architecture, data preprocessing, and evaluation metrics. Ensure that the model is able to adapt to changing market conditions and provide actionable insights for investors.