In my most recent project, I implement the most used Trading Bots into a simulated random stock market chart and try to capture their patterns in price change using a LSTM neural network.
The trading pattern of the bots create minimal, predictable price shifts (correlated market). We prove the capacity of the NN to capture this effect, as seen in the decreasing error over training time/epochs.