Yevhen Chystiukhin / 販売者
パブリッシュされたプロダクト

This multicurrency expert uses 29 currency pairs, including gold. For forecasts, the advisor uses recurrent neural networks of the LSTM type, models trained in the Python language environment using the reinforcement learning algorithm. Live Signal Aggressive The advisors have many settings, in fact, it is a whole strategy designer, so that you do not get lost in the settings and results of their application, I have my own website forexvisible.com (just paste the name into the browser to find my

This client utility is intended for sharing and copying signals, as well as for monitoring your Expert Advisor on the site https://forexvisible.com . The Android version of the site can be downloaded here The version for the MT4 terminal can be downloaded here https://www.mql5.com/en/market/product/106509 There are many reasons to use this application in your trading, and these are: 1. If you have many trading advisors and many accounts, it is very difficult to track them and monitor everythin
FREE

This client utility is intended for sharing and copying signals, as well as for monitoring your Expert Advisor on the site https://forexvisible.com . The Android version of the site can be downloaded here The version for the MT4 terminal can be downloaded here https://www.mql5.com/en/market/product/106509 There are many reasons to use this application in your trading, and these are: 1. If you have many trading advisors and many accounts, it is very difficult to track them and monitor everyt
FREE

This multicurrency Expert Advisor uses 28 currency pairs. For predictions, the advisor uses models trained by the machine learning algorithm in the Python language environment. All signals of this advisor in real time and download settings for it can be downloaded from my website forexvisible.com - copy and paste into the browser
This version for the MT4 terminal can work with one time interval H1, the version for MT5 can work with two time intervals H1 and H2, it can be downloaded here https:

This multicurrency Expert Advisor uses 28 currency pairs. The predictions are based on two indicators: Bollinger Bands and DEMA.myfxbook.com/members/MUSBREATH Settings for MultiBolbands The default settings are for the EURUSD H1 Algorithm1. Optimization from 2016 year Before testing in the strategy tester or installing the EA on a chart, if you want to speed up the testing process, set the ShowTradePanel advisor setting to false In the strategy tester, set the "Open prices only" trading mode, t

This multicurrency Expert Advisor uses 28 currency pairs. For predictions, the advisor uses models trained by the machine learning algorithm in the Python language environment. All signals of this advisor in real time and settings for it can be downloaded from my website forexvisible.com - copy and paste into the browser
The Expert Advisor can work with two time intervals H1 and H2 together or separately parameters in the Use Time Intervals group The profitability of currency pairs can be view

This multi-currency Expert Advisor uses 28 currency pairs. For forecasts, the EA uses recurrent neural networks of the LSTM type, models trained in the python language environment, and imported into the EA using a new function in mql5 to load ONNX models Finally it happened, mql5 developers have recently introduced the ability to load ONNX models in the mql5 language. And this format supports most modern libraries for training neural networks, and this now opens up an unlimited number of possibi

QBotAI is a trading robot designed to automate trading in financial markets. It uses a reinforcement learning technique called Q-learning to optimize its trading strategies. All signals of this advisor in real time and settings for it can be downloaded from my website forexvisible.com - copy and paste into the browser
Q-learning allows the robot to learn from experience through trial and error. The robot constantly interacts with the trading environment, makes trade transactions and receives a

This multi-currency expert advisor uses 28 currency pairs. For predictions, the advisor uses recurrent neural networks of the LSTM type, models trained in the Python language environment, and imported into the advisor using a new function in MQL5 for loading ONNX models. The algorithm of the advisor works simultaneously with two timeframes H15 and H1. Separate neural network models have been trained for each of the 28 pairs for both timeframes. The idea is that the advisor places orders only whe