What is a neural network?

Artificial neural networks (ANNs) are an example of information processing that is inspired by biological nervous systems, such as the brain, that process information. The key element of this paradigm is the novel structure of the information processing system. It consists of a large number of highly interconnected processing elements (neurons) that work together to solve specific problems. Artificial neural networks, like humans, lead by example. Configure the ANN for specific applications through the learning process, such as pattern recognition or data classification. Learning in biological systems involves adjusting the synaptic connections that exist between neurons. The same is true for artificial neural networks.

Why use neural networks for trading

Neural networks have the remarkable ability to derive meaning from complex or imprecise data and can be used to extract patterns and detect trends that are too complex to be noticed by humans or other computer technologies. A well-trained neural network can be thought of as an "expert" in the category of information it is analyzed. The expert can then be used to provide predictions and answer "hypothetical" questions given new situations of interest.

Expert Advisor recommended configuration

1. Recommended foreign exchange pair: EURUSD
2. Time range: H4 chart
3. Minimum deposit: $100 for 0.01 lots

EA Introduction

Using neural networks and technical indicators, there are not many parameter configurations, only need to configure the number of hands to use, the code uses a variety of complex algorithms. Probably the principle of implementation: After a large fluctuation, EA will open a reverse order. If the profit target is successfully reached, the order will end; if the direction is opposite, EA

Will add a position, after adding a few layers, if the market has not reversed, EA will not increase the position, waiting for callback stop loss.