Machine learning in trading: theory, models, practice and algo-trading - page 1089

 
Maxim Dmitrievsky:

Educate yourselves while they give it to you :) classics

https://drive.google.com/open?id=1ZzH2TLv13tD0Fjt6htVZiBl5n-Ytt9q-

read thoughtfully and discuss on topic

Brief gist of the method: a priori regularities are not known or their understanding is very limited. Objective: to find a working model among a large number of brute force (bruteforce or genetics) methods

Relevant for virtually the entire range of trading algorithms

If someone has a good understanding of the subject, then we can discuss the realization of the TS, all the tools are available for that, without leaving the mql5 sandbox

kudos to me for my selection of useful literature from the pile of dull G.

Such a cool feeling)) When you recommend literature, you get mocked, and then the same person who mocked you recommends the same literature.

 
Maxim Dmitrievsky:

I didn't have that )

Max)) And when you've played with functional data and understand that there patterns can not be found, you'll start thinking about levels), and then you may begin to read N. Kamynin.)

What do I know? I'm just a nerd.

 
Maxim Dmitrievsky:

Educate yourselves while they give it to you :) classics

https://drive.google.com/open?id=1ZzH2TLv13tD0Fjt6htVZiBl5n-Ytt9q-

read thoughtfully and discuss on topic

Brief gist of the method: a priori regularities are not known or their understanding is very limited. Objective: to find a working model among a large number of brute force (bruteforce or genetics) methods

Relevant for virtually the entire range of trading algorithms

If someone will have a good understanding of the subject, then we can discuss the realization of the TS, all the tools are available for that, without leaving the mql5 sandbox

Give me kudos for my selection of useful literature from the pile of dull G.

Like, it is really interesting

We'll discuss it tonight.

 
Renat Akhtyamov:

Like, really interesting.

let's discuss it tonight

What to discuss? Stationary processes..., standard deviation, MNC...

 
SanSanych Fomenko:

What is there to discuss? Stationary processes..., standard deviation, MNC...

Yeah, I read it.

I'll pass.

Sanych, you know what's missing in this blind graphanalysis of deviations?

There is no key that turns and moves the kotir along the trend...

 
Vizard_:

Please tell me...
About the key...

Well, of course, also about the nightstand...

 
Vizard_:

About garhi please...

I remember, I promised, but stuck in another place, it's 4 months + some other things, in general I repent, no results yet

 

gentlemen

I'm a listener and a viewer.

No one has yet convinced me that the topic is profitable.

so...

 
Maxim Dmitrievsky:

When are you going to shut up... and stop annoying everyone, free us from your presence, poor in spirit.

Maxim, don't get angry. It is a usual discussion. It's a pity not everyone joined in.

Personally, I do not have a bad polynomial of order 1, i.e. just LR

With increasing order, the signal is already unstable and more errors.

It was said above that there is no trend or flat.

Yes, that's a very good approach. Personally, I have excluded only the flat.

I have obtained a permanent trend that can be processed by a neural network.

Most likely it is better to use an algorithm with feedback.

That is, when an error occurs, the NS is retrained.

 
Maxim Dmitrievsky:

all the words in one pile? or are there more?

100000000000000

for I'm starting to write neuronics