From what I've read researching deep learning is still very promising regardless if it's a new field or not. I was just wondering if you had any idea of how to interpret results a bit more. It seems that I'll have to find more reading on this stuff though.
I imagine deep learning to be more predictive than simple regression testing and some of the back propagation type predictors but I can't imagine it being extremely predictive when the stockmarket is known for being very subjective to attitudes as well as other unpredictable factors. Deep learning is supposed to pick out factors that may provide some information about things.
As another test I'd recommend trying to do deep learning with weather data and a few stocks. This might give you something more discerning because the whole point of deep learning is to identify unknown factors that effect things. People have long suggested that weather plays a good factor in certain stocks but it'd be interesting to see what a trained model thinks.
From what I've read researching deep learning is still very promising regardless if it's a new field or not. I was just wondering if you had any idea of how to interpret results a bit more. It seems that I'll have to find more reading on this stuff though.
I imagine deep learning to be more predictive than simple regression testing and some of the back propagation type predictors but I can't imagine it being extremely predictive when the stockmarket is known for being very subjective to attitudes as well as other unpredictable factors. Deep learning is supposed to pick out factors that may provide some information about things.
As another test I'd recommend trying to do deep learning with weather data and a few stocks. This might give you something more discerning because the whole point of deep learning is to identify unknown factors that effect things. People have long suggested that weather plays a good factor in certain stocks but it'd be interesting to see what a trained model thinks.