OmegaAI

5

This multicurrency expert uses 29 currency pairs. For forecasts, the advisor uses recurrent neural networks of the LSTM type, models trained in the Python language environment using the reinforcement learning algorithm.

You can view and download the advisor's performance results and signal settings here: forexvisible.com and myfxbook.com/members/MUSBREATH

The advisor uses 4 different packages of neural network models trained for 29 pairs, the first two models work on the H1 interval and the other two work with the M15 interval.

These models can be used either individually or together, it is recommended to select a pair of models, i.e. any 2 together or 4 at once, since the selected signals to buy or sell will be summed up and if, for example, one model gives a signal to buy, and the other to sell, the adviser then ignores such a signal and as a result, greater accuracy of forecasts is achieved.

You can see the profitability of currency pairs in the strategy tester after the test in the "Journal" tab, and disable unprofitable pairs as needed in the advisor settings, or select the most profitable, the Active option.

Default settings are selected that are better not to use, at the moment the best settings OmegaAIModel1234GridPairs10Proc5.set OmegaAIModel1234GridPairs10_NoGold.set

To reduce the risk, decrease the value of the "koef" parameter in the settings.

The deposit should be from 1000$, or use a cent account, then 10$ will be enough. You can also use a smaller deposit, but be sure to do a back test and evaluate the drawdown

The advisor was trained from 2023 to 2025, testing in the strategy tester should be done from 2025

  • Before testing, it is advisable to choose the EURUSD currency pair and the H1 timeframe.
  • In the strategy tester, set the trading mode to " 1 minute OHLC".
  • Also, to speed up testing, you can disable the strategy tester’s visualization.
  • At the end of the test, you can view the profitability and maximum drawdown of each pair separately in the "Journal" tab.

    Description of some advisor settings

    • UseSameLotSizeForAllPairs - option to choose the lot size for each pair separately, by default true, one lot size for all, specified by the above parameter.
    • UseMaxAllTakeProfitProcent - enables global take profit in percentage of current profit specified in the MaxAllTakeProfitProcent parameter, after which all current orders are closed. Test only on all ticks or 1 minute OHLC.
    • UseMaxStopLossProcent - enables global stop loss in percentage of current profit specified in the MaxAllStopLossProcent parameter, after which all current orders are closed. Test only on all ticks or 1 minute OHLC.
    • IsDynamicLot - enable automatic lot size formation depending on the balance or free margin.
    • is_koef_for_each - if true, the lot size is formed based on the balance for each currency pair separately, if false, then based on the total balance or free margin.
    • koef - coefficient for forming the lot size, the higher it is, the greater the risks.
    • from - forming the lot size depending on the balance or free margin.
    • CountOfGrid - number of pending orders in the grid.
    • CountGridBars - number of recent bars in history, from which the lowest and highest price is found for calculating the interval between grid orders: MaxPrice and MinPrice.
    • GridKoef - the distance between pending orders in the grid is calculated using the formula (MaxPrice - MinPrice)/ GridKoef.
    • GridKoefBegin, GridKoefEnd - distribution of coefficients for multiplying the price of a pending order in the grid.


    评分 3
    Michael 888
    450
    Michael 888 2025.04.21 12:33 
     

    Good EA,till now profits only.Thanks Eugen 👍I will update my review periodically with the screen shots in comment section.

    Jejomar Erebaren
    240
    Jejomar Erebaren 2025.03.26 15:03 
     

    Great EA, profit at first orders. Will update review after a month. Author helps a lot.

    Wendi Zheng
    2390
    Wendi Zheng 2025.03.18 13:41 
     

    The EA’s strategy is very unique, possibly one of a kind on MQL5. It made a profit on the first day of purchase, and the DD was low.

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    Barbaros Bulent Kortarla
    4.26 (46)
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    Bogdan Ion Puscasu
    5 (34)
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    MQL TOOLS SL
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    4.47 (104)
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    Jorge Luiz Guimaraes De Araujo Dias
    5 (9)
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    Profalgo Limited
    5 (46)
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    Jorge Luiz Guimaraes De Araujo Dias
    4.43 (136)
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    Thierry Ouellet
    4.64 (28)
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    Marco Scherer
    4.18 (44)
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    Vladimir Mametov
    5 (2)
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    Bogdan Ion Puscasu
    5 (4)
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    Bogdan Ion Puscasu
    4.96 (215)
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    Gennady Sergienko
    1.87 (15)
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    Vladimir Lekhovitser
    3.37 (30)
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    Fatima Zohra Ed Dachraoui
    5 (2)
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    MQL TOOLS SL
    4.33 (112)
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    Jimmy Peter Eriksson
    4.08 (37)
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    Bogdan Ion Puscasu
    4.85 (507)
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    Chen Jia Qi
    4.5 (18)
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    MQL TOOLS SL
    5 (4)
    XT Bitcoin Robot is an advanced  automated trading system  designed specifically for  BTCUSD traders  who want to take advantage of Bitcoin's market volatility without the need for constant market monitoring. The robot continuously analyzes market conditions and automatically executes trades based on its built in trading logic, helping traders stay active in the market 24 hours a day without manual intervention. The system is designed to identify trading opportunities and manage positions accor
    Gold Neural Core
    TICK STACK LTD
    5 (8)
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    Ayush V Jain
    5 (3)
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    Jimmy Peter Eriksson
    4.55 (22)
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    Adam Hrncir
    4.83 (46)
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    Rob Josephus Maria Janssen
    4.56 (48)
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    Valentina Zhuchkova
    4.2 (25)
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    MQL TOOLS SL
    5 (34)
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    Boring Pips MT5
    Thi Thu Ha Hoang
    4.77 (53)
    你是否曾 经想过为什么大多数专家顾问在实盘交易中并不有效,尽管它们在回测中表现完美? 最有可能的答案是过拟合。许多专家顾问被创建为对现有的历史数据进行“学习”和完美适应,但由于构建模型的泛化能力不足,它们无法预测未来。 一些开 发者可能根本不知道过拟合的存在,或者他们知道但没有办法防止它。其他人则将其作为美化回测结果的工具,他们添加了数十个输入参数,而不考虑统计学意义,使交易策略过度依赖历史数据,并试图说服他人他们的专家顾问未来能够实现类似的表现。 如果你 对这个迷人的主题感兴趣,并想更深入地了解过拟合,请参考我的这些文章: Avoiding Over-fitting in Trading Strategy (Part 1): Identifying the Signs and Causes Avoiding Over-fitting in Trading Strategy (Part 2): A Guide to Building Optimization Processes 有几种方法可以避免在 仅仅依赖读取过去数据的专家顾问上亏钱。而最简单的方法是,在没有至少 5 个月或 30
    作者的更多信息
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    Yevhen Chystiukhin
    5 (1)
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    FREE
    ForexVisibleMT4
    Yevhen Chystiukhin
    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
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    Yevhen Chystiukhin
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    MultiBolbands
    Yevhen Chystiukhin
    4 (11)
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    PhythonML
    Yevhen Chystiukhin
    2.8 (5)
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    PythonLSTM
    Yevhen Chystiukhin
    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
    Yevhen Chystiukhin
    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. 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 reward or penalty depending on the result of the transaction. Over time, QBotAI learns to choose the optimal actions to maximize the reward receive
    IntervalAI
    Yevhen Chystiukhin
    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
    AlphaAI
    Yevhen Chystiukhin
    AlphaAI — Multi-Currency AI Expert Advisor for MetaTrader AlphaAI is a multi-currency trading expert advisor using LSTM neural networks trained with reinforcement learning to analyze market data and generate trading decisions. The advisor can trade 29 currency pairs simultaneously, distributing trading activity and reducing dependence on a single market. The models were trained in Python using financial time series analysis. AlphaAI Advantages LSTM machine learning models Trading with 29 cur
    BetaAI
    Yevhen Chystiukhin
    BetaAI — Multi-Currency AI Expert Advisor for MetaTrader Signal BetaAI is a multi-currency trading expert advisor that uses machine learning models to analyze market data and generate trading decisions. The advisor can simultaneously work with 29 currency pairs , allowing trading activity to be distributed across multiple instruments and reducing dependence on the behavior of a single market. The system is based on machine learning models built with XGB (gradient boosting) . The models were trai
    筛选:
    Michael 888
    450
    Michael 888 2025.04.21 12:33 
     

    Good EA,till now profits only.Thanks Eugen 👍I will update my review periodically with the screen shots in comment section.

    Jejomar Erebaren
    240
    Jejomar Erebaren 2025.03.26 15:03 
     

    Great EA, profit at first orders. Will update review after a month. Author helps a lot.

    Wendi Zheng
    2390
    Wendi Zheng 2025.03.18 13:41 
     

    The EA’s strategy is very unique, possibly one of a kind on MQL5. It made a profit on the first day of purchase, and the DD was low.

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