You are provided with historical financial market data(input.csv). Your task is to design and implement a predictive pipeline to model the stock's behavior and simulate the performance of your prediction framework in a realistic trading context.
- Understand the structure of financial time series data.
- Engineer relevant features to extract meaningful patterns from historical data.
- Develop a modeling pipeline capable of learning from engineered features.
- Evaluate the predictive performance using appropriate metrics.
- Simulate a trading strategy using your predictions and analyze the effectiveness via backtesting and visualization.