Neural EA MT5 is an AI-powered Forex trading robot for MetaTrader 5 using neural networks and genetic algorithms to analyze markets, adapt trading automatically
Original price was: $999.00.$599.00Current price is: $599.00.
Unlimited Activations
You can use product with unlimited account
Â
Instant delivery
Download link will be sent instantly after purchase
Â
Easy to install
Pre-activated, ready to use immediately
Â
Free Update
Free Install Support
Payment Methods:
Neural EA MT5 is a professional Expert Advisor for MetaTrader 5 that combines neural networks, machine learning concepts, and genetic algorithms to create an adaptive automated trading system.
Unlike conventional Expert Advisors that rely on a fixed set of trading rules, Neural EA MT5 is designed to periodically retrain its neural network using historical market data. The objective is to adapt the trading model to changing market conditions without requiring the entire trading strategy to be manually redesigned.
The system combines two major technologies: Neural Networks and Genetic Algorithms. The neural network analyzes historical market information and generates trading signals, while the genetic algorithm is used as part of the parameter-selection and optimization process.
A cyclic parameter-adjustment and re-optimization mechanism allows the EA to periodically update its internal model according to the latest available market data.
Neural EA MT5 can be used on different charts and timeframes. With the recommended parameters, neural-network training typically takes approximately 5–15 minutes, depending on CPU performance and the selected history sample.
The EA also includes a comprehensive set of configuration options for risk management, grid control, trading direction, spread filtering, trading hours, drawdown protection, neural-network complexity, and periodic re-optimization.
>> Delivery time 24h-48h after payment.
>>> Refund if not delivered.
>>> You will receive the latest version without any limitations (ID+Time).>>Reviewed by Jason Stap <<
Neural EA MT5 Overview
Neural EA MT5 uses a neural-network model trained on historical market data to identify patterns and generate trading signals.
The system is designed to retrain periodically rather than relying permanently on a single static model.
The EA incorporates a genetic algorithm as part of its optimization architecture. This technology can be used to evaluate and adjust trading parameters according to the selected market data.
The ReOptimizationNN parameter controls the period of neural-network re-optimization.
This allows the EA to periodically update its model using more recent market information.
The neural network uses a configurable historical sample controlled by HistoryNN, which defines the number of bars used for training.
A larger history sample can require more processing time and computational resources.
Several parameters control the neural-network learning process, including:
This allows users to balance model complexity, training time, and available CPU resources.
The neural network can use market information derived from indicators including:
These inputs provide additional market data for the neural-network analysis.
LimitSpread allows users to define a maximum spread level. The EA will avoid opening new positions when the spread exceeds the configured limit.
Users can choose between a fixed Lot size or deposit-based Risk calculation.
The LotExponent parameter can control progressive lot-size changes according to the configured trading logic.
The EA includes configurable grid parameters such as:
These parameters allow users to control the number of grid steps, spacing between positions, and price-noise filtering.
The DrawDown parameter defines a maximum account drawdown level at which the EA can close positions according to the configured protection rules.
The DrawUp parameter can be used to define a maximum profit level at which positions are closed according to the selected configuration.
The EA allows traders to enable:
through the OnBuy and OnSell parameters.
The EA includes configurable trading-time controls through:
This allows users to restrict automated trading to selected periods.
Neural EA MT5 combines historical-data learning, neural-network signal generation, genetic optimization, and automated trade management.
The system uses a configurable number of historical bars as its training sample.
The HistoryNN parameter determines the amount of historical data supplied to the neural network.
The neural network can process information derived from selected technical indicators, including:
The number of neural-network inputs is controlled through the InputNN parameter.
The system trains the neural network using the selected historical data.
Parameters such as StepNN, EpochNN, and DeltaNN control aspects of the training process.
With medium recommended settings, the training process can take approximately 5–15 minutes, although actual training time depends heavily on CPU performance and the complexity of the selected model.
The genetic algorithm evaluates trading parameters and helps optimize the system according to the selected configuration and historical market information.
This creates an additional optimization layer alongside the neural-network model.
Once the neural network reaches the required training conditions, the LevelSignal parameter determines the threshold at which the neural-network output is treated as a trading signal.
Before entering the market, the EA can apply additional filters such as:
When the required conditions are satisfied, the EA automatically executes trades and manages them according to the configured lot, grid, Stop Loss, Take Profit, drawdown, and profit-protection parameters.
The neural network can be retrained according to the configured ReOptimizationNN period.
This allows the model to incorporate more recent market data rather than remaining permanently based on an older training sample.
Neural EA Backtest
Neural EA MT5 Backtest
Neural EA MT5 includes multiple layers of trade and account management.
The Risk parameter can calculate position size according to the account deposit, providing an alternative to manually specifying a fixed lot through the Lot parameter.
LotExponent controls the ratio used for progressive lot-size changes within the configured trading system.
Because progressive sizing can increase exposure, this parameter should be configured carefully.
The EA includes LimitGrid to restrict the number of grid steps.
The kStepGrid parameter controls the spacing relationship between consecutive orders.
These controls are particularly important because multiple open positions can increase total market exposure.
The kSL and kTP coefficients control the Stop Loss and Take Profit calculations according to the EA’s internal trading logic.
The DrawDown parameter defines the maximum configured account drawdown at which closing action can occur.
This provides an additional account-level risk-management layer.
The DrawUp parameter can define a maximum profit threshold at which the EA closes positions according to the configured rules.
LimitSpread prevents new entries when the current spread exceeds the configured maximum.
This can be useful when trading conditions deteriorate because of temporary spread expansion.
The EA allows users to define specific operating hours using the server-time filter.
This can help prevent trading outside the selected session.
Neural networks identify statistical relationships in data, but financial markets are dynamic. A pattern that appeared in historical data may not continue to behave the same way in the future.
Periodic re-optimization can update the model with newer information, but it cannot guarantee that the newly trained model will accurately predict future market behavior.
Increasing neural-network complexity or optimizing extensively on historical data can create overfitting, where the model performs well on historical data but behaves differently in live trading.
The developer notes that testing is computationally demanding because the neural network may be retrained periodically.
As a result, standard historical backtesting may only provide an approximation of the system’s complete adaptive behavior.
The default settings are provided primarily to demonstrate the EA’s general operating principles.
The recommended live-trading parameters use a larger historical sample and more extensive neural-network learning, which can take significantly longer during testing.
The EA includes grid-related parameters. Multiple positions can increase total exposure, especially when the market moves strongly in one direction.
The LotExponent feature can increase position size according to the configured logic. Traders should understand its effect on margin and drawdown before enabling aggressive settings.
Neural-network training time depends on CPU performance. More complex models and larger historical samples can require significantly more computational resources.
Backtest or optimized results do not guarantee future profitability. Live performance can differ because of spread, slippage, liquidity, execution, market regime changes, and other trading conditions.
Install MetaTrader 5 through your preferred broker and log in to your trading account.
Open MetaTrader 5 and select:
File → Open Data Folder → MQL5 → Experts
Copy the Neural EA MT5 (.ex5) file into the Experts folder.
Restart MetaTrader 5 or refresh the Expert Advisors section in the Navigator.
The EA can be attached to a suitable chart according to your intended trading configuration.
The developer notes that the robot can run on any chart using the recommended parameters.
For systems with sufficient CPU resources, higher timeframes than M5 can allow users to experiment with increased neural-network complexity and larger historical samples.
Open:
Navigator → Expert Advisors → Neural EA MT5
Drag the EA onto your selected chart.
Make sure Algo Trading is enabled.
Review the key neural-network parameters, including:
Start with the recommended parameters before experimenting with higher complexity.
Review:
Avoid aggressive position sizing or grid configurations until you fully understand their effect on account exposure.
If required, enable the server-time filter and configure:
The neural network requires processing time to train using the selected historical sample.
With medium recommended parameters, training may take approximately 5–15 minutes, depending on CPU performance.
Larger history samples and higher neural-network complexity can require substantially more time.
Because adaptive neural-network systems can be computationally intensive to backtest, historical testing should be interpreted carefully.
Use the provided demonstration and recommended live settings separately, and compare behavior across different market periods.
Before deploying the EA with real capital, consider running it on a demo account to verify its behavior under your broker’s spread, execution, and trading conditions.
In summary, Neural EA MT5 is an adaptive MetaTrader 5 Expert Advisor that combines neural networks, machine-learning concepts, and genetic algorithms to analyze historical market data and periodically re-optimize its trading model. Instead of relying exclusively on a fixed set of trading rules, the EA is designed to update its internal parameters according to more recent market information.
One of its main characteristics is the flexibility of its neural-network architecture. Traders can adjust the historical training sample, neural-network inputs, training steps, epochs, signal threshold, and re-optimization period. The EA also provides conventional risk and trade-management controls, including risk-based lot sizing, spread filtering, drawdown protection, profit protection, trading-session controls, and configurable grid parameters.
The supplied backtest reports $5,342.27 total net profit, a 76.92% win rate, and 18.12% maximum drawdown from an initial deposit of $10,000. This historical result does not guarantee future performance. In addition, adaptive neural-network systems can be particularly sensitive to overfitting, changing market regimes, data quality, and optimization methodology.
Another important consideration is computational demand. Larger historical samples and more complex neural-network configurations can require substantially more CPU resources and longer training or testing times. Grid and progressive lot-sizing parameters can also increase overall exposure if configured aggressively.
Overall, Neural EA MT5 provides a flexible framework for traders interested in combining AI-style neural-network analysis, genetic optimization, and automated MetaTrader 5 trading. Thorough testing across different market periods, careful parameter validation, conservative risk settings, and extended demo forward testing are recommended before considering live deployment.
1. What is Neural EA MT5?
Neural EA MT5 is an advanced automated trading robot for the MetaTrader 5 platform that uses neural networks and genetic algorithms to analyze market data and generate trading signals. It applies artificial intelligence to learn from historical price patterns and adapt its strategy to changing market conditions.
2. How does Neural EA MT5 work?
Neural EA MT5 analyzes large datasets of historical market data using a machine learning–based neural network model. The system identifies price patterns and uses genetic algorithm optimization to refine trading parameters, allowing it to generate automated buy and sell signals.
3. What makes Neural EA MT5 different from traditional trading robots?
Unlike traditional EAs that rely on fixed rules or indicators, Neural EA MT5 uses adaptive machine learning technology. This allows the system to retrain and optimize its trading strategy automatically as new market data becomes available.
4. Which indicators are used by Neural EA MT5?
The EA processes multiple technical indicators as input data for its neural network model, including:
RSI (Relative Strength Index)
AD (Accumulation/Distribution)
Parabolic SAR
These indicators help the system analyze momentum, volume behavior, and potential trend reversals.
5. Can Neural EA MT5 adapt to changing market conditions?
Yes. One of the main advantages of Neural EA MT5 is its adaptive trading strategy. The neural network can periodically retrain itself using updated market data, allowing the EA to adjust its parameters when market conditions change.
6. Is Neural EA MT5 fully automated?
Yes. Neural EA MT5 is a fully automated Expert Advisor. It performs market analysis, generates trading signals, and executes buy or sell orders automatically without requiring manual trading.
7. Does Neural EA MT5 include risk management features?
Yes. The EA includes several built-in risk management tools, such as:
Dynamic lot size management
Spread protection filters
Drawdown control settings
Profit target and loss limits
These features help traders manage risk and protect their trading capital.
8. What is the genetic algorithm used in Neural EA MT5?
A genetic algorithm is an optimization technique inspired by natural selection. In Neural EA MT5, it is used to optimize trading parameters and neural network settings, helping the EA evolve and improve its performance over time.
9. What is the recommended minimum deposit for Neural EA MT5?
Backtest results were performed using an initial deposit of $10,000, but traders can start with a smaller balance depending on their risk settings and lot size configuration.
In stock
In stock
In stock
In stock
In stock
Out of stock
No account yet?
Create an Account
Automatic EA
EA Best Seller
Expert Advisor MT4
Expert Advisor MT5
HFT EA
Reviews
Clear filtersThere are no reviews yet.