Machine learning in trading: theory, models, practice and algo-trading - page 2467

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A picture of 3-5 deals tells you nothing. 100-200 real trades made (or in 3-4 months) will show the statistics. And the drawdowns.
This forum is already dead because it is affected by idlers and lazy people.
Interesting service for those who are interested in "trading against the crowd"
https://fxssi.com/beginners-guide
This forum is already dead because it is affected by idlers and lazybones.
The fact is that all have long been sitting in telegram sects, there all the movement and secret knowledge, and the forums unfortunately are almost dying out 😕
Does anyone know how to parse graphs like this?
Does anyone know how to parse charts like this?
You do realize that forex prices are not driven by clients of these "brokers", right?
The sample is not representative.
You do realize that it's not the clients of these "brokers" who move Forex prices, right?
The sample is not representative
I understand it very well.
The thing is that everyone has long been sitting in telegram sects, there is all the movement and secret knowledge, and the forums, unfortunately, almost dying out 😕
Here we have such a scheme, or rather, there can be two of them.
Yes, I agree with you - we don't come up with probability distribution from our head - it's clear that in the long run many/some (Poisson, binomial and other symmetric distributions) lead to normal - but this is the lack of trading opportunities (when probabilities are distributed normally)... the correct way: test the null hypothesis of a particular/any distribution for plausibility (by comparing the available distribution and the theoretical/standard distribution), if the statistic fails, then accept the alternative hypothesis... you'll just get buried (me so far, if I start) to determine Which distribution (e.g., option prices) if you rely on statistics, and you can't search for probabilities without it...
I found it by the way(what I tried to remember 2 pages ago - when no one refuted it - but thank you for the reminder):
Still, price distribution is normal, and profit log-normal distribution has(i.e. a lot of probability for small losses and little probability for large profits) - in general, asymmetrical - I tried to remember... I tried to remember... In general the Black Sholes formula has a binomial distribution, but they say it doesn't work... I have to look for the distribution, as it is scientifically defined in the stat. Processing - a bit long (to prove all null hypotheses, until you get either Poisson's, or log-normal, or some other specific distribution with proven reliability of choice by Fisher's criterion, at least, to finally start from this distribution for interpretation of probabilities)...
so I'm still cautiously looking at statistics and theoretical beliefs - though I'm interested in SKEW CBOE- there's a link to Cboe SKEW Index Whitepaper - my calculations are still a bit floundering... (
But I want to see the term-structure in perspective (although this SKEW is calculated for the S&P and spike-up says about the fall, but I want to see how it will behave for the currency)... imho (at least on the history)