AlphaAI

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.

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 in different combinations for each of the 29 currency pairs separately.

By default, the settings selected do not use the grid. In real trading, it is better to use the grid. To enable it, you need to set the following settings to false: GridOf = false and MartingaleOff = false.

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 year

• 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.