Machine learning in trading: theory, models, practice and algo-trading - page 3213
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how much are you paying?
5р
5р
look for yourself
look for yourself
I'll give you 10 reasons, and none of them will be statistically significant.
Same thing with your calculations so far.
Seen several interpretations of the term.
Interpretations from the chattering classes.
Quite specifically.
There is a file A, for example, of size 2000
From it we get file train of size 1500 by generating a random sample by sample()
ind <- sample( 2000, 1500); ind
[1] 830 1537 607 651 1244 211 1033 767 452 744 533 1784 1791 1470 846 1448 354 1304 1274 1901 1991 220 1069 341 730
[26] 591 162 401 583 1296 478 1332 673 491 1264 712 1683 993 509 319 868 798 1398 504 1655 180 1512 1594 1663 575
[51] 745 1263 489 197 1481 1649 387 59 6 34 136 1871 1181 1804 1331 324 1987 1802 1964 783 1260 599 13 1070 1938
[76] 510 1929 1613 944 780 631 414 122 1323 1882 352 1071 838 1473 666 1731 1315 1199 899 686 386 299 483 1351 503
[101] 1588 1475 1738 1346 1636 1359 1670 1054 384 139 719 866 1897 870 361 294 578 772 323 888 964 995 1319 703 1063
.....
train <- A[ind]
test <- A[-ind]
So it turns out that a professional trader is a trader who earns money by trading on the market and lives from it.
I know those who meet this definition, you are mistaken with their perception of others.
Forum on trading, automated trading systems and testing trading strategies.
Machine learning in trading: theory, models, practice and algo-trading
mytarmailS, 2023.08.31 14:00
And professionals look at them both with pity and condescension and quietly say to themselves: when will you b...bleep think of changing the concept, not the scenery....
I'll give you 10 reasons, and none of them will be statistically significant.
Same with your calculations so far.
Who told you I have one reason and not 1,000?
You made it up, you believed it, you made fun of yourself.... ))
Those who fit that definition know you are wrong about their perception of those around them.
It's quite possible, I won't argue, it was a joke post, not a statement....
Strange, you claimed 10 min ago that you don't know professionals, and now suddenly you do).
Quite specifically.
You have failed to explain it clearly. train and test, of course, do not overlap.
Here is a computational process (it is called training, optimisation - it doesn't matter). Are both samples involved in this process?
and who told you I had one reason and not, say, 1,000?
I made it up, I believed it, I made fun of myself... ))
Well, you just blurted something out again, without any proof.
You're not making yourself clear. train and test certainly don't overlap.
Here is a computational process (it is called training, optimisation - it doesn't matter). Are both samples involved in this process?
The code is not clear?
train is a file on which the model is trained, i.e. a list of patterns is formed, if in a random forest, then about 100 patterns.
test is a file where the algorithm predicts the value of the target variable based on the patterns.