There is a hypothesis that market models are subject to fractal laws from the theory of chaos, which are sensitive to the initial parameters.
How can deap learning predict such processes?
Take the characteristic example of Mersenne Twister.
https://en.wikipedia.org/wiki/Mersenne_Twister
Can you predict the results of Twister with your deap learning and AI?