Dive into the exciting world of data collection and preprocessing. Do you know how important it is to start with clean and robust data? As the foundation of your strategy, this task ensures that we gather all necessary market data while filtering out any noise.
Using data preprocessing techniques, we smooth and normalize the data to highlight actual patterns, making sure future predictions are accurate. A challenge might be dealing with missing data, but don't worry, interpolation and imputation can work wonders here.
Tools often required for this task are Python, CSV files, and databases like SQL.