Hey, great questions!
Probably the thing that will give you the most directional insight into our approach is here: https://crypto-ml.com/blog/bitcoin-price-prediction-with-diy-machine-learning-in-excel/
While it’s considerably more basic than what we run, a lot of the core concepts are discussed.
In terms of the actual ML implementation, the answer is it depends–we can run many configurations and let it determine the best. The configuration will change over time.
Specifically, we use these: https://bigml.com/api/deepnets
And yes, our concept is very similar to what you described in your TradingView experience. We seek to provide the ML all of the building blocks for technical trading. It should be able to setup a variety of equations from them and thereby determine market movement.
To me, that’s the most interesting part of an ML project…how have you structured the inputs?