At Carthage Capital Management, we understand that every client has unique financial goals. That's why we offer personalized financial solutions and expert financial advice, tailored to your specific needs. With years of experience within the investment management field , we are dedicated to helping you achieve your financial goals and build a better future for yourself and your loved ones.
OUR STORY
We gather various types of financial data, including historical price data, fundamental data (e.g., earnings, revenue), economic indicators, news sentiment, and alternative data sources . This includes the process of cleaning and pre-processing the collected data to handle missing values, normalize data, and ensure consistency across different data sources. We then train the selected machine learning models using historical data. Split the data into training and testing sets to evaluate the performance of the models.
The raw data that can be used as inputs for the machine learning models. Feature engineering that may involve calculating financial ratios, creating technical indicators, and extracting sentiment scores from textual data. We choose the appropriate machine learning models based on the investment strategy and the nature of the data. Common models used in AI-driven investing include regression models, decision trees, random forests, support vector machines, neural networks, and ensemble methods.
