OmegaAI
- Experts
- Yevhen Chystiukhin
- Versione: 1.1
- Aggiornato: 18 marzo 2025
- Attivazioni: 10
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.
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 site), on this site you can see real trading with different settings of this advisor, there is an update every 10 seconds of trading results. In the "description" tab on this site, you can download the settings for the signal you like from this advisor
Natural selection not everyone survived there, but there are survivors, after such a crisis it will work on those settings that survived
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.
By default, the most profitable 8 pairs out of 29 are selected for the UseModel1_QLearning + UseModel3_QLearning_M15 models, you can safely add gold trading to these 8 pairs, it is disabled by default
The advisor was trained from 2023 to 2024, testing in the strategy tester should be done from 2023
- 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.
Great EA, profit at first orders. Will update review after a month. Author helps a lot.