Market / MetaTrader 5 / Experts /

AlphaAI

240 USD

Demo downloaded: 20

Published: 23 September 2025

Current version: 1.3

AlphaAI

Experts
Yevhen Chystiukhin
Version: 1.3
Updated: 11 March 2026
Activations: 5

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 currency pairs
✔ Multi-timeframe market analysis	✔ Flexible trading configuration
✔ Ability to disable individual currency pairs	✔ Built-in risk management
✔ Grid trading support	✔ Suitable for various market conditions

AI Technology

Models based on LSTM neural networks
Training performed in Python
Financial time series analysis methods applied
Reinforcement learning used to improve predictions

Model Architecture

2 models operate on H1 timeframe
2 models operate on M15 timeframe

Different combinations of models can be used for each currency pair.

Multi-Currency Trading

After testing in Strategy Tester, you can view profitability per pair in the Journal tab. Less effective pairs can be disabled. Use the Active parameter to manage pairs.

Risk Management

Main parameter: koef. Reducing this value decreases position size and overall risk. Adjust according to deposit size.

Grid Trading (Optional)

By default, grid trading is disabled. To enable:

GridOf = false
MartingaleOff = false

Testing is recommended before using grid trading.

Recommended Deposit

1000 USD — standard account
10 USD — cent account

Model Training Period

2023 — 2025

Testing Recommendations

Open Strategy Tester
Select EURUSD pair
Set timeframe to H1
Select modeling mode 1 Minute OHLC

Disable visualization to speed up testing. Profit and drawdown are available in Journal.

How the Advisor Works

Market data analysis
Evaluation using trained LSTM models
Multi-timeframe analysis
Generation of trading signals
Position and risk management

Important

Test before using on a real account
Evaluate possible drawdown
Adjust risk parameters according to deposit

Algorithms and models may be updated as new market data becomes available.

Project Development

AlphaAI is an evolving project. Its algorithms can be updated and improved as market data accumulates.

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240 USD

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

240 USD

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 oth

240 USD

BetaAI — Multi-Currency AI Expert Advisor for MetaTrader 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 trained in

240 USD

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