Data-driven objectivity
Statistical analysis of fundamental value and trend analysis conducted within the framework of realistic market behavior assumptions is the only proven way to achieve consistently positive results in the markets.
Statistics is the science of collecting, analyzing and making inference from data. Statistics is a particularly useful branch of mathematics that is not only studied theoretically by advanced mathematicians but one that is used by researchers in many fields to organize, analyze, and summarize data.
Statistical methods and analyses are often used to communicate research findings and to support hypotheses and give credibility to research methodology and conclusions. It is important for researchers and also consumers of research to understand statistics so that they can be informed, evaluate the credibility and usefulness of information, and make appropriate decisions.
We combine statistics in the context of our overall forecasting model to infer trend (i.e. wave) personalities so we can understand the probable position in the overall cycle. In addition we stress-test our investment and trading models using sound statistical concepts and validate them using sound statistical models.