[D] Potential Research idea: regional CNN for financial time-series analysis • r/MachineLearning

Recently, I've been trying to figure out new and interesting ways to combine deep learning and finance (totally not for my master thesis or anything like that). I've read that CNN and their variations could be applied to predict financial things like stock prices to somewhat decent extent. What do you think about applying regional CNN to predict-stock prices. The idea is quite simple: instead of looking at the whole graph CNN would look at regions who express high heteroscedasticity or have a clear upwards or downwards trend. Based on the amount of differences expressed and how far these regions would be from our prediction point (I guess one could use something like euclidean distance).