martM

martM is a software project that aims to provide a comprehensive suite of tools for managing and processing market data. Its primary focus is on handling time-series data, often associated with financial markets, but applicable to other domains requiring similar data structures. The project is developed in Python and leverages several popular scientific computing libraries, including NumPy and Pandas, to facilitate efficient data manipulation and analysis.

The core functionalities of martM include data ingestion from various sources, such as CSV files, databases, and APIs. It also offers features for data cleaning, transformation, and aggregation. Users can perform operations like resampling, calculating moving averages, and applying custom functions to their datasets. The project emphasizes flexibility, allowing users to define their own data structures and processing pipelines.

martM also incorporates modules for basic statistical analysis and visualization. While not intended to be a full-fledged quantitative analysis platform, it provides essential tools for initial exploration and understanding of market data trends. The development of martM is driven by the need for a streamlined and accessible solution for individuals and small teams working with time-series market data, aiming to reduce the complexity often associated with such tasks. The project is open-source, encouraging community contributions and further development.