There are many widely used traditional techniques of stock forecasting each with its own limits and biases. Human-oriented approaches focus more on back-dated data while not being able to well define or relate how those back-dated financials or people actions will reflect on future performance or pricing. At its best the number of facts or signals that can be considered and correlated simultaneously in human-oriented approaches is quite limited and is subject to personal biases.

As AC Investment Research, our goal is to do fundamental research, bring forward a totally new, scientific technology and create frameworks for objective forecasting using machine learning and fundamentals of Game Theory.