1. Introduction
  1.1 Background
  1.2 Objectives
2. Literature Review
  2.1 Financial Forecasting
  2.2 Machine Learning in Finance
  2.3 Predictive Modeling Techniques
3. Data Collection and Preprocessing
  3.1 Financial Data Sources
  3.2 Data Cleaning and Transformation
4. Model Development
  4.1 Feature Selection
  4.2 Algorithm Selection
  4.3 Model Training and Evaluation
5. Performance Evaluation
  5.1 Model Accuracy Metrics
  5.2 Risk Assessment