About deep reinforcement learning.

I found an interesting open source project that uses deep reinforcement learning to generate trading strategies. Can SQ learn some useful things from that?

https://towardsdatascience.com/using-reinforcement-learning-to-trade-bitcoin-for-massive-profit-b69d0e8f583b

interesting article. We did some experiments with deep learning but didn’t come up with anything robust. This is one of the reasons why Neural Networks are still not added into SQ – every NN model we tried was just curve fitting.

what about random forest etc?

You have to combine it with rules based entries or it will probably never work and be curvefitting.

So SQx team can add the function to Improver and we can test it out . 🙂