Conventional regression models allow correlation between variables to be determined quickly and intuitively. However, these types of models lack multidimensional analysis. Furthermore, in both financial market and biomedical field, the number of variables are often tremendous. Selecting only a few variables for analysis can result in bias and loss of valuable information, especially when those variables are inter-correlated.
ALOM Intelligence's proprietary deep learning system is developed specifically for multidimensional analysis of complex data. We have developed an unique methodology to re-organize and analyze the acquired data. Since the establishment our first generation deep learning system, we have unmasked multiple prevailing features from the financial market data.