Machine learning in trading: theory, models, practice and algo-trading - page 2153

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I don't read it and I'm not going to download it.
Since.
no one here in this thread has managed to earn
like I do, today and always:
//that's why it's too early for me to tell you what to do.
// asked for more details, I did it.
// that's all there is to it
what do you always say?
Show me for the last two months, you don't have to show me for always.
What do you always say?
show me the last two months, don't always.
i showed you how fnc is trading
the second system has a stack unlike any other.
it's always on the plus side, no drawdown
the strategy is described in general terms in response to Maxim's post
it has volumes of buys and sells and their prices
i have never shown the monitor screen to absolutely no one, let alone the state
in the early stages of strategy development I posted some screens and stats on the forum, starting in 2014
If you're interested, you can find
showed how fnc is traded
Describe intelligently FNF, what is Y ? Where did you get this formula (link) from? Or an author's formula?
Describe intelligently ELF, what is Y ? Where did you get this formula (link) from? Or the author's formula?
X - input signal (price chart), in which we are not satisfied with the presence of high-frequency noise
Y - the output, not lagging the signal we are interested in, without noise
I attached the link where it's all from
it is very wise written there, i wrote easier above and only what i need to get the indicator in MQL
I will add
For the first calculation ( n=Bars) let's take (since the farthest bar is not as important as the current one)
Y(n-1)=iClose(n-1)
and then Y(n) to the current bar according to the formula
again
http://we.easyelectronics.ru/Theory/chestno-prostoy-cifrovoy-filtr.html
one more thing...
I almost always regret, when I ask a question herethe spread is formed by external factors, just like increments. what is the point of accounting for it. i have a queue after me))))
the spread is formed by external factors, just like increments. what is the point of accounting for it. follow me in line))))
X - input signal (price chart), in which we are not satisfied with the presence of high-frequency noise
Y - the output, not lagging the signal we are interested in, without noise
I attached the link where it's all from
it is very smartly written, i wrote above in an easier way and only what i need to get the indicator in MQL
I will add
For the first calculation ( n=Bars) let's take (since the farthest bar is not as important as the current one)
Y(n-1)=iClose(n-1)
and then Y(n) to the current bar according to the formula
again
http://we.easyelectronics.ru/Theory/chestno-prostoy-cifrovoy-filtr.html
it works, but not ALWAYS.
works, but not EVERYWHERE.
agree
I usually don't post my systems if I have a better one
but in principle, even this one is not badI'll say it again, for the stupid.
There are points in the feature space. Some are to buy, others are to sell.
Suppose these points can move in such a way that the buy-sell sequence is not observed, i.e. the information about the spread in the dataset is lost.
the spread can be equated to the Euclidean distance between points, or between two classes of points
How to add this information. FNF, acceleration, and other stuff you can shove in your s. This is for clarity of perception, so to speak.
I'll say it again, for the stupid.
There are points in the feature space. Some are to buy, others are to sell.
Suppose these points can be mixed up in such a way that the buy-sell sequence is not observed, i.e. the information about the spread in the dataset is lost.
how to add this information. You can shove the LPF, acceleration, etc. up your ass. This is for clarity of perception, so to speak.
yep
And in this space there are only two of them:
1. purchases
2. sales
but given your sense of tact, you should only take the information from where you advise to shove it
and you're right.
It really isn't.
That's why I've been fiddling with it since November 2018.
the last so to speak hint, screenshots and a bunch of posts were, including the formula
However, the way is wrong.
right = use what you have
;)