1. Data Collection: Gathering historical price data, including open, high, low, and close prices, as well as trading volume.
2. Data Preprocessing: Cleaning and normalizing the data to ensure accuracy and consistency.
3. Feature Selection: Identifying relevant features that can influence price movements, such as technical indicators and fundamental factors.
3. Risk Management: By understanding potential price movements, traders can better manage their risk exposure.
Conclusion