By the way, I went through the post and confirm that it predicts one day ahead. It uses the last 60 days of data to predict the next day: for i...
Got it, thanks a lot for the thorough reply!
Got it, that makes sense! By standardizing each input independently, you mean each dimension right? If I have OHLCV data, does it make sense to...
Got it, thanks, let me take a look.
Yes I did, I was debating whether I should normalize it to normal distribution or something else. Eventually I did: Xmean = mean from input X X =...
Hey Phil, I tried to replicate the parabolic + cosines method you outlined. However I got stuck on the GA step and wonder if you can give me any...
Got it, thanks a lot! Let me try this one.
Yeah, I forgot to mention I tried that, like using 5 days of data, instead of 1, in the training. The results are bad. I probably can tune the...
Got it, thanks!
Thanks for the info! Yeah the training I did already include volume information. But the model trained are probably not as sophisticated in...
Thanks for the recommendation, I saw a post about it...
Hi I agree that using a "recursive" approach is dicy and it amplifies error over time. For sure, the one-step model can be applied "recursively"...
Hi thanks, this is great. Indeed, the mentioned ETF increased from 4/6 to 4/12 and then went down. I didn't expect such a simple model to be able...
By "recursive" I mean to feed the output of one day as the input to the next day. This way you can predict many days in the future and use that to...
Thanks for the pointers. Seems like that you are hinting decomposing the price movement in the frequency domain? I did some search online and...
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