Discussion of article "Self-adapting algorithm (Part IV): Additional functionality and tests" - page 8
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A wonderful research on your self adapting Ai. I find it fascinating. Could it be even better as part of a deep learning machine ??
Perhaps look into the time when price start to deliver as well. they always occur 2 hours before London starts and 3 Hours before NY session.
Institutional price at 00/50/80/20 is the key price level they tend to work from.
and with regards to start cycle and end cycle of the price delivery, It occurs from MOnday to Wednesday, THursday if lucky but tend to reverse for the remainder of the week and Friday.
News is purge session to take out both buyers and sellers .
Just have a look into that see if it can detect that within your block in changes of a trend. use from Daily to m1 to analyse it.
Then you see how Price and why it moves from High to low or low to high. IT depends on the liquidity in the market, the more liquidity, the more it tends to go to it.
A wonderful research on your self adapting Ai. I find it fascinating. Could it be even better as part of a deep learning machine ??
Perhaps look into the time when price start to deliver as well. they always occur 2 hours before London starts and 3 Hours before NY session.
Institutional price at 00/50/80/20 is the key price level they tend to work from.
and with regards to start cycle and end cycle of the price delivery, It occurs from MOnday to Wednesday, THursday if lucky but tend to reverse for the remainder of the week and Friday.
News is purge session to take out both buyers and sellers .
Just have a look into that see if it can detect that within your block in changes of a trend. use from Daily to m1 to analyse it.
Then you see how Price and why it moves from High to low or low to high. IT depends on the liquidity in the market, the more liquidity, the more it tends to go to it.
I was thinking about machine learning and most likely it is possible to tan better results. But I haven't implemented it myself yet. I am not attached to trading sessions and news because I am doing a universal algorithm. The main goal is to find it to work completely automatically in both the stock and foreign exchange markets. I do this in order to better understand the fundamental nature of pricing. The better my theoretical model, the better and more versatile the algorithm becomes.
Do you think this will ever be publicly available in MT5? I've been following these articles and find them so interesting.
at the moment I do not plan to publish the code of the finished robot. Development costs me a lot.
V I see that Infinitely Just is based on the EAs in the article "Developing a self-adapting algorithm (Part I and II). Are you planning to release the version that uses blocks instead of bars and that you describe in part III and IV of your Article?
I did not plan to sell the robot from Articles III and IV. It is too complicated for a simple user who buys robots in the market. And it will cost too much for a mass user. The second article contains a much improved version of "Just", which I traded on real accounts for 2 years. But if you want, then you can discuss the sale of the robot from the third and fourth articles.
I'm sorry that you don't put your work up for sale, although at least I, as a programmer, have greater personal satisfaction seeing that an EA of mine works well, than selling an EA that is not very worth it.
Following your indications from the Word robot 50% file - V3.docx I am working on an EA for a single symbol on MT4. It has been difficult for me to understand all the complexities of the code, but I already have a version working, although without all the options that you mention in the code. The next thing I have to add is the opening of secondary series and being able to close series by progressively decreasing profits. Little by little I am moving forward. Thanks for your work and your explanations.
If you want, you can write to me at gerardocastanyo@gmail.com and tell me the price of your MT5 version, assuming it is already a stable version. Greetings