Method and system for detecting causes of margin call using machine learning

A computing device configured to implement an execution of a method for providing information that relates to triggering a margin call with respect to a first securities portfolio, the computing device comprising:

• a processor;
• a memory;
• and
• a communication interface coupled to each of the processor and the memory,
• wherein the processor is configured to:
• obtain a plurality of data relating to a plurality of securities portfolios;
• automatically determine, by using the plurality of data, at least one data pattern relating to triggering a margin call and at least one corresponding characteristic contributing to triggering the margin call;
• automatically generate at least one margin call model based on the at least one data pattern and the at least one characteristic;
• and
• evaluate the first securities portfolio using the at least one margin call model to determine a first information relating to whether to trigger a first margin call with respect to the first securities portfolio.