Machine learning in trading: theory, models, practice and algo-trading - page 3652

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Maxim Dmitrievsky #:
1. Then we'll be on the same level?))
2. I am not arguing with anyone, but discussing points.

1. You can then consider that yes, if it's important to you.

2. You'll discuss the points.

 
You do it, we'll talk about it. Don't eat up other people's time. I've gotten 0 use out of you so far. Trends tend to persist.
 
Maxim Dmitrievsky #:
I've solved your unsolvable problem. And it wasn't posed correctly. I had to guess, waste time.

Post the code, it's your chance for rehabilitation.

You're in no position to condition me right now :)

Shall I quote your post again, where you said that the problem is unsolvable? - The problem is solvable for me, I have never said anywhere that I can't solve it.

Accept the terms of the deal - I'll post the code.

I can set any conditions for you, I already have. It's up to you whether you agree or not.

I won't write more on this issue, you have to give me Yes or No in favour of the deal.

 
Andrey Dik #:

To quote your post again, where did you say that the problem is unsolvable? - The problem is solvable for me, I never said I couldn't solve it.

Accept the terms of the deal - I'll post the code.

I can set any conditions for you, I already have. It's up to you whether you agree or not.

I won't write more on this issue, you have to give me Yes or No in favour of the deal.

It's all your fantasy, unfortunately for you. There are no real facts.
 
I offered, you refused, you're a blabbermouth. This conversation is over.
 
Fantasies again :)
 
Maxim Dmitrievsky #:
Using the example of an integer multiplication table from 1 to 9 - you approximate the f- function with a neural network and it starts solving examples with fractional values because they are all inside the function. Like 1.2 * 2.4. But if you start multiplying by 10, 20, you won't get anything.

La, really.

J       0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 0 = 0
NE      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 1 = 9
IN      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 2 = 18
FG      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 3 = 27
OO      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 4 = 36
DD      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 5 = 45
ML      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 6 = 54
JE      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 7 = 63
CM      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 8 = 72
HJ      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 9 = 81
EQ      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 10 = 86
FH      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 11 = 88
NP      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 12 = 89
GH      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 13 = 90
LS      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 14 = 90
IK      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 15 = 90
RR      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 16 = 90
KJ      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 17 = 90
PR      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 18 = 90
EM      0       22:54:40.278    Core 01 2021.01.04 00:00:00   9 * 19 = 90
 

(Multiplied 198383 * 595857 = 118,207,899,231 on a calculator)




- How much is 198383 times 595857

Mistral:

- 198383 times 595857 equals118278952791.



- How did you do the math?

Mistral:
- I did the multiplication in my mind (Holy s**t 😮)

 
Ivan Butko #:

La, for real.

That's why LLMs have trouble solving new problems :)
 
Check out the new feature in deepseek, there's a toggle above the text input line. Now it's thinking too. Haven't tested it much yet, just asked a few questions. On the question about the berry that unicorns eat, he went into an endless loop of thinking :)
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