Neural Network NGZ EA MT5

Neural Network NGZ combines a retraining neural network with genetic optimization and an order-series trading engine. It runs on M1 charts, with separate preparation for each currency pair.

How NGZ prepares its trading signals

NGZ builds training samples from ZigZag turning points, using Depth ZZ to influence the spacing of those points. Its internal genetic algorithm configures indicator inputs, normalizes their values and trains a neural network to produce buy or sell signals. A separate trading engine manages the resulting order series.

The developer describes periodic retraining rather than a fixed, once-trained model. Re-Optimization Hour sets the interval, while Re-Optimization Bars selects the training window. Trading pauses temporarily during training. Model data and normalization settings are saved to files so the terminal can reload them after a restart.

Preparation and portfolio use

The published operating timeframe is M1. Currency pairs must be selected and optimized individually; the source does not provide a universal profitable pair list. Running the EA on several charts creates a portfolio of those separate configurations, so combined exposure needs attention.

The developer suggests a month of optimization followed by a month of operation. Treat that as a proposed workflow, not evidence that a short training period will remain reliable. Out-of-sample and forward testing are particularly useful here because a flexible model can fit historical data without generalizing to new prices.

Order management and evidence

The trading engine supports a limited series of orders, stop loss, take profit and trailing start/stop settings. This is not described as a single-position-only system. Set series limits and position sizing deliberately, and assess total exposure across every chart.

The developer’s reference setup uses a $1,000 deposit. That is a configuration reference, not a protected capital level or a reason to increase risk. Both original reports below show 18% history quality. Their balance curves illustrate the developer’s tests, but that low-quality input history limits what the results establish. Neither report is a verified live account, and the visible images do not identify the full test period.

Source: Neural Network NGZ EA MT5 on MQL5, checked September 30, 2026.

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