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Re: DeepLearn: How to add more signals? (> 20 signals) [Re: JRA] #470919
02/13/18 09:20
02/13/18 09:20
Joined: Jul 2000
Posts: 27,977
Frankfurt
jcl Offline

Chief Engineer
jcl  Offline

Chief Engineer

Joined: Jul 2000
Posts: 27,977
Frankfurt
You can now use as many signals as you want. The systems that we did for clients had mostly about 10 signals. With more signals, it becomes hard to produce a successful system. But there might be cases where you use about 100 signals, f.i. when preprocessing them with a covolution network.

Re: DeepLearn: How to add more signals? (> 20 signals) [Re: JRA] #471368
03/01/18 12:18
03/01/18 12:18
Joined: Oct 2017
Posts: 17
J
JRA Offline
Newbie
JRA  Offline
Newbie
J

Joined: Oct 2017
Posts: 17
It´s usefull to put the signals in series? For example: vol[1],vol[2],vol[3],ZScore[1],..........

Thanks.

Re: DeepLearn: How to add more signals? (> 20 signals) [Re: JRA] #471394
03/02/18 17:31
03/02/18 17:31
Joined: Jul 2000
Posts: 27,977
Frankfurt
jcl Offline

Chief Engineer
jcl  Offline

Chief Engineer

Joined: Jul 2000
Posts: 27,977
Frankfurt
If you want to evaluate the history of the parameters, then series make sense.

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