The Basic idea for this Trader is to look into a square of 32x32 Obs Space of past Renko Graph and trade a given stock action: Buy | Sell | Hold.
This is based off implementation of NEAT from neat-python and also uses the pytorch version of NEAT from UBER for the neural network RNN.
This project is gonna be superseded by the use of Weight Agnostic Neural Networks Version of NEAT from Google DeepMind and also the DeepGA from Uber.