BetaAI

BetaAI

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 the Python environment.

BetaAI Advantages

AI Technology

The trading system uses several trained machine learning models.

• Models are built using XGB algorithms
• Training was performed in the Python environment
• Financial time series analysis methods were used

The use of multiple models allows the system to analyze the market from different perspectives and make more stable trading decisions.

Model Architecture

The advisor uses 4 sets of trained models:

• 2 models operate on the H1 timeframe
• 2 models operate on the M15 timeframe

Different combinations of models can be used for each currency pair, allowing the trading system to adapt to the characteristics of specific markets.

Multi-Currency Trading

The expert advisor is designed to work with 29 currency pairs.

After testing in the Strategy Tester, you can view profitability statistics for each pair in the Journal tab.

This allows you to:

• identify the most effective currency pairs
• disable less effective instruments
• use only the most stable pairs

The Active parameter in the advisor settings is used for this purpose.

Risk Management

Main risk management parameter:

koef

Reducing the value of the koef parameter decreases position size and lowers overall trading risk.

It is recommended to adjust risk parameters according to your deposit size.

Grid Trading (Optional)

By default, the advisor operates without grid trading.

If necessary, grid trading can be enabled:

GridOf = false
MartingaleOff = false

It is recommended to perform testing before using grid trading.

Recommended Deposit

• 1000 USD — standard account
• 10 USD — cent account

If a smaller deposit is used, it is recommended to perform testing and evaluate the potential drawdown.

Model Training Period

The models were trained on historical market data during the period:

2023 — 2025

Testing Recommendations

1. Open the Strategy Tester
2. Select the EURUSD currency pair
3. Set the timeframe to H1
4. Select the modeling mode 1 Minute OHLC

Visualization can be disabled to speed up testing.

After testing is completed, profitability and maximum drawdown information for each currency pair will be available in the Journal tab.

How the Advisor Works

The BetaAI trading system uses multiple machine learning models to analyze market data and generate trading signals.

• market data analysis
• evaluation of market conditions using trained models
• multi-timeframe analysis
• generation of trading signals
• position and risk management

The use of multiple models and timeframes helps the system adapt to different market conditions.

Important

The advisor is an algorithmic trading system.

Before using it on a real account, it is recommended to:

• perform testing
• evaluate possible drawdown
• adjust risk parameters according to the deposit size

The advisor's algorithms and models may be updated as new market data becomes available and the system continues to develop.

Project Development

BetaAI is an evolving project. As new market data becomes available, the system's algorithms may be updated and improved.