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  • Bewertungen (11)
  • Diskussion (27)
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NeuroExt

3.9

https://t.me/mql5_neuroExt  actual version

Signal https://www.mql5.com/ru/signals/1511461

You can use any tool. The bases will be automatically created at the start of the Learn. If you need to start learning from 0 - just delete the base files.

Initial deposit - from 200 ye. Options:

DO NOT ATTEMPT TO TEST WITHOUT NEURAL NETWORK TRAINING!

it is enough for the balance graph after training to be horizontal.


generating a training base is extremely simple.
 there is a ready-made training for USDCHF.

 - OrderComm: in the order, it will be supplemented with an indication of the mode of operation and the depth of analysis.
 - TypeOfWork: Study \ Work \ Market. "Study" - in this mode it is necessary to achieve a schedule with at least a small increase. No holes. This mode can also be used for work, but there will be only 1 order in the market at a time. "Work" - The database is loaded periodically. In case of simultaneous training in the tester and constant pumping of better training. "Market" - only for acceptance by the Market. Must be switched. - MYpercent: ...
- SL: if you set = 0 in the Learning mode, a value from 40 to 110 will be automatically assigned and will give too many trades, slow learning and distorted images. When MaxOrders> 1 and Run mode is forced to 5000. - StartTrail: Not used in Learn Mode. Optimal = 0 (automatic).
 - Trail: ... = Neuro param - ThresholdH1: threshold for filtering out noise on 1 hidden layer - ThresholdOut: threshold for rejecting unsuitable images. When taught, it is forced to 0. - Trade interval: trade every ... H1 is recommended for training. Then, in Work, it is forcibly set to 1 minute.
 - Depth Analys: interval of bars for analysis / snapshot of the price picture. The last 50 bars from the selected TF are loaded. Example: with TF M6 the snapshot => 50 * 6/60 = 5 hours. A drawing of this length is processed for memorization. Too large TF will result in non-repeating shots. Too small will produce many very similar images. The database is formed by this parameter. If you choose a different value, the base will be created and full training is required. The bases for each TF are not deleted and once created, you can continue to train and use. If you want to retrain the network, these files must be deleted. The location of the files will be indicated in the log when the EA starts. This is where the attached databases should be located. Example: data_w1_6_USDCHF.csv, data_w2_6_USDCHF.csv. These files contain "_6_" in the name and will be included when "Depth Analys" = M6.
 = Learn mode
 - LearnEpoch: parameter for setting the number of optimization runs in the Learn mode. - speed: during initial training, several training cycles (5-10) can be done at a speed of 0.5-0.9. Next at 0.2-0.5. Etc. When an entry of the form w1 [XXX] [YYY] N.NNNNNN = ZZ.ZZZZZZZZ appears in the logs and the improvement of learning of a section is stopped, set the speed to 0.1 or less.
 = Dual mode
 - MaxOrders: if the value is> 1, the insurance strategy will be launched. After all, a neural network does not guarantee a repetition of the trained outcome after a similar snapshot, but it assumes the highest probability. In Teach mode, it is forced to = 1 because training takes place on the data of only 1 simultaneously working order. - Multiply: volume increment factor. Optimal 2.
 - Distance: distance between orders of the same direction. Increases with each new order of the same direction.
 - StepProf: another additional system, but no less important. Closing all orders when the balance gain is reached by ... The target trigger value is indicated in the comment on the chart as "Next"
 = Other
 - Pass: key to remove restrictions.
 The price is negotiable.



Bewertungen 11
Eric Carl Sandquist
490
Eric Carl Sandquist 2023.03.13 19:34 
 

So far, in demo it has done very well. I plan to bring it live as soon as possible. Very exciting.

michael0606
123
michael0606 2022.11.28 21:03 
 

I've only been using it for a few hours on the demo account, but its yield is very good for now. Good work. Sincerely, Mike

Mianos Tech
83
Mianos Tech 2022.10.26 10:05 
 

first of all the AE its not very bad at all its perform well i study how this AE work upon my testing searching adjusting the setting because i want the AE learn i discover the learning give you a positive trade in live account i choose the Neuro Ma its regarding to MACD but its 1 option there in MA in default is 5 you can change it to 8 or 13 but 5 is for short trend if you want long trend put 13 maybe. i dont know if the 1st average and 2nd moving average of MACD is set correctly because its only on option there in no price if exponential close or open. the AE is good but you to study the setting really important is the learning its give you lot of positive trade in live account. i hope the dev put a news so the AE stop trading if the market is very bad i mean the AE link in to this https://www.mql5.com/go?link=http://ec.forexprostools.com/ , http://time.is/UTC , https://world-time-zone1.com/ , https://ec.forexprostools.com/ so the AE stop trading if receive or read something bad market down by the way hope the dev continue develop this FREE AE neuro i hope its give more optimize in trading

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rob cat
18
rob cat 2023.07.28 01:26 
 

first things first: i can't comment on the user support because it's tied to a telegram link and i don't use telegram. the description is very minimalist and incomplete. this is a very fine product if used correctly, and i know this because i am in the process of using it to recover a demo account after two other eas blew it up, and the number of interventions i am having to make is getting less and less, but to make the statement clear, that demo account when i first attached neuroext to it had less than a thousand dollars and within a week it has been recovered to over 1000 equity and 1500 balance, which oly indicates to me that neuroext is still in its 'setup phase' where it establishes boundaries. also to be clear, i am using it on 15 currency pairs simultaneously and it only hit a margin call once at that low level of beginning because one of the currency pairs totally plummeted and there were a series of unavoidable stops. this was down to overcommitment on my part, and i am still learning too, rather than a fault of the product. all the indications i have for this product could easily be used for dmytryi to update his description. training this ea periodically is absolutely essential, regardless time or instrument used. use it for a week on a demo account, then train it on the weekend. rinse and repeat for a month, then take it live. investing this time at the beginning will surely make the transition smooth. i found it convenient to train on the market closed weekend time with the broker i used, and i trained it on 1 minute candles across 15 pairs of fiat currencies. that's thousands of candles per week. this takes only a few hours, and it would be a beautiful thing if dmiytryi could find a way to and implement this being automated as well. it would complete the cycle quite magnificently on what is showing to be so far in my experience the best RECOVERY ea. now to the use. mathematically, you can find out whether any system is profitable by setting a fixed lot size. i suggest this as a starting point regardless of your ultimate use of the ea, because it will show you what is going on in the market, but don't expect miracles. the default settings only need to be minimally changed for a fixed lot size of 0.01 and it's ok for a flat line on any instrument, any time scale, BEFORE TRAINING. once the training starts, you can see for yourself. also, don't use the ma within it. ever. the neural network appears to learn faster without it. it has even learned, within a month of training, not to let the margin level get below 300%, which took me personally almost a year to learn. the key to using this ea to the best of its ability is continual learning, just as you or i do. think of it as a hyper intelligent 2 year old. it wants to please us, but we have to tell it exactly how and not lose our cool as its 'parents'

Eric Carl Sandquist
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Eric Carl Sandquist 2023.03.13 19:34 
 

So far, in demo it has done very well. I plan to bring it live as soon as possible. Very exciting.

AAtrader86
34
AAtrader86 2022.12.13 18:36 
 

looks interesting I am curious about the power of neural networks.... I will keep using it! Today it worked smoothly on usdjpy

michael0606
123
michael0606 2022.11.28 21:03 
 

I've only been using it for a few hours on the demo account, but its yield is very good for now. Good work. Sincerely, Mike

Mianos Tech
83
Mianos Tech 2022.10.26 10:05 
 

first of all the AE its not very bad at all its perform well i study how this AE work upon my testing searching adjusting the setting because i want the AE learn i discover the learning give you a positive trade in live account i choose the Neuro Ma its regarding to MACD but its 1 option there in MA in default is 5 you can change it to 8 or 13 but 5 is for short trend if you want long trend put 13 maybe. i dont know if the 1st average and 2nd moving average of MACD is set correctly because its only on option there in no price if exponential close or open. the AE is good but you to study the setting really important is the learning its give you lot of positive trade in live account. i hope the dev put a news so the AE stop trading if the market is very bad i mean the AE link in to this https://www.mql5.com/go?link=http://ec.forexprostools.com/ , http://time.is/UTC , https://world-time-zone1.com/ , https://ec.forexprostools.com/ so the AE stop trading if receive or read something bad market down by the way hope the dev continue develop this FREE AE neuro i hope its give more optimize in trading

Sebastian Schmidt
1218
Sebastian Schmidt 2021.12.28 07:01 
 

the first steps with this EA went as expected very well. the ongoing optimization gives very promising results. The EA is very intuitive and easy to understand, and there is a Telegram group where you can immediately get competent help and answers to your questions. Thank you for providing it free of charge.

Dmytryi Voitukhov
5121
Antwort vom Entwickler Dmytryi Voitukhov 2021.12.28 08:41
As practice has shown, a neural network cannot predict the probability of an outcome by 100%. This is due to hardware limitations and much more training time. The optimal balance has been found here. Combined with other methods, the system can be relied upon. Thank you for such a good review.
Sentosa Ip
28
Sentosa Ip 2021.12.23 16:29 
 

saya mecoba akun demo latihan respon sangat bagus,sayang dengan modal kecil tidak bisa repon.perbaiki dengan modal kecil bisa respon.

Dmytryi Voitukhov
5121
Antwort vom Entwickler Dmytryi Voitukhov 2021.12.23 16:34
pertanyaannya tidak jelas. apa yang harus diperbaiki? setoran awal - $ 200.
Al Bundy
408
Al Bundy 2021.12.02 12:14 
 

Der Benutzer hat keinen Kommentar hinterlassen

Shiseido.Nara
22
Shiseido.Nara 2021.11.14 21:38 
 

I have been testing it for 2 days and it looks quite promising. I will continue testing it for a few months to evaluate if it has good results.

Doken.Tokuyama
46
Doken.Tokuyama 2021.11.03 20:55 
 

Looks very promising so far. I start testing, great job.

ThorstenKock
2584
ThorstenKock 2021.11.03 18:19 
 

Looks promising so far. Starting forward testing on VPS. 3 stars for the moment

Edit 03.11.2021: After first evening of use already 6,67% in profit :O Looking forward to seeing the results of the coming days. 4 stars for now

Edit 04.11.2021: It blew up a third of the account during the last 10 hours. Final rating: 1 star

Edit after author's reply: Setting was put on "work" mode ;)

Dmytryi Voitukhov
5121
Antwort vom Entwickler Dmytryi Voitukhov 2021.11.07 11:32
Try more learn and take new version. And show me your learn graph. And setting at Work mode.
Antwort auf eine Rezension
Version 1.75 2022.04.26
updated 26.04.2022
Version 1.74 2022.01.13
leverage corrected
Version 1.68 2021.12.04
тест тест
Version 1.67 2021.12.03
1233 321
Version 1.66 2021.12.01
Balance close fixed
Version 1.65 2021.11.30
пара правок
Version 1.64 2021.11.30
same fixes
Version 1.63 2021.11.23
некоторые правки
Version 1.62 2021.11.17
updated
Version 1.61 2021.11.16
small update
Version 1.60 2021.11.11
тюнинг some
Version 1.59 2021.11.07
небольшие правки
Version 1.58 2021.11.05
small fixes
Version 1.57 2021.11.01
небольшие правки
Version 1.56 2021.10.19
nothing