Machine learning in trading: theory, models, practice and algo-trading - page 2332

[Maxim Dmitrievsky]

They've been training on cats in the market from time to time) They would write articles with their experience

because we can't defeat incrementalism here

[Valeriy Yastremskiy]

Maxim Dmitrievsky:

They've been training on cats in the market from time to time) They would write articles with their experience

because we can't defeat incrementalism here

they are more easy to use than bots.)

[Maxim Dmitrievsky]

Valeriy Yastremskiy:

cats are simpler than increments)

It scares me this unhealthy influx of tsosniks, can't you write in a separate thread. As if there is nothing to discuss in the MO

Maybe they're just out of work, they have nothing to do. One got banned, the others came.

[Valeriy Yastremskiy]

Maxim Dmitrievsky:

This unhealthy influx of tsosniks scares me, is it impossible to write in a separate thread. As if there is nothing to discuss in the Ministry of Defense

Maybe they're just out of work, they have nothing better to do. One got banned, the others came.

everyone has their own vision ..... Truth doesn't care about it, it doesn't know anyone))))

[Maxim Dmitrievsky]

Valeriy Yastremskiy:

everyone has their own vision ..... Truth doesn't care about that, it doesn't know anyone))))

You can read the title of the topic

[Valeriy Yastremskiy]

Maxim Dmitrievsky:

You can read the title of the topic

Not one, that's good... (in the subject I mean) and the rest don't count...

[mytarmailS]

Very interested in "genetic programming", it's like genetic optimization only on steroids, GA itself can create formulas, even programs, so it's a powerful topic, there are bibles.

You can come up with all kinds of complex combinations...

searching for formulas:

1: In log(sin(cos(2))) : NaNs produced
2: In log(cos(3) + distance) : NaNs produced
3: In log(cos(log(sqrt(distance^2)))) : NaNs produced
4: In sqrt(log(distance^2)) : NaNs produced
5: In log(sin(sqrt(sqrt(distance^2)))) : NaNs produced
6: In log(log(cos(1)) - sin(3)) : NaNs produced
7: In log(distance^3 - (distance^1 + sin(1))) : NaNs produced
8: In log(distance * sin(distance)) : NaNs produced
9: In log(log(distance * sin(distance))) : NaNs produced
10: In log(cos(sqrt(log(distance + (distance + 2))))) : NaNs produced
11: In log(cos(distance)) : NaNs produced
12: In sqrt(sin(log(distance^2 + distance^2)) - distance) : NaNs produced
13: In sqrt(cos(distance^2)) : NaNs produced
14: In log(cos(3)) : NaNs produced
15: In log(log(sqrt(distance^4))) : NaNs produced
16: In log(cos(distance)) : NaNs produced
17: In log(sin(sin(log(cos(distance))))) : NaNs produced
18: In sqrt(distance - 3) : NaNs produced
19: In log(2 - log(distance^3)) : NaNs produced
20: In sqrt(distance - (2 - distance^4)) : NaNs produced
......
....
...

traits, patterns, rules, etc.. It's a thing! I'll get to the bottom of it.

I know the answer from before, but I'm still asking - has anyone tried it?

[Maxim Dmitrievsky]

mytarmailS:

I know the answer is earlier, but still I ask - has anyone tried it?

I've tried more than that.

by adding other formulas to the MSUA and get

[mytarmailS]

Maxim Dmitrievsky:

I've tried more than that.

by adding other formulas to the MGUA, and you get

Kind of yes, but no, the MGUA is overwhelmed by the number of variants, there is much more room here, but Ivakhnenko is a beauty, he looked 50 years ahead

[Maxim Dmitrievsky]

mytarmailS:

Like yes, but no, MSUA would be overwhelmed by the number of options, there is a lot more room, but Ivakhnenko handsome, he looked 50 years ahead

Well, you'll have to do better.