The Net Brain eurusd MT4
What is a Neural Network?
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well.
Why do you use neural networks for trading?
Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A trained neural network can be thought of as an "expert" in the category of information it has been given to analyze. This expert can then be used to provide projections given new situations of interest and answer "what if" questions.
Other advantages include:
- Adaptive learning: An ability to learn how to do tasks based on the data given for training or initial experience.
- Self-Organization: An ANN can create its own organization or representation of the information it receives during learning time.
- Real-Time Operation: ANN computations may be carried out in parallel.
How Net Brain Expert Advisor works?
Quantitative and qualitative methodologies for forecasting help managers to develop business goals and objectives. Business forecasts can be based on historical data patterns that are used to predict future market behavior. The time series method of forecasting is one data analysis tool that measures historical data points -- for instance, using line charts -- to forecast future conditions and events. The goal of the time series method is to identify meaningful characteristics in the data that can be used in making statements about future outcomes.
To generate the deep and invariant features for one-step-ahead forex price prediction, The Net Brain MT4 presents a deep learning framework for financial time series using a deep learning-based forecasting scheme that integrates the architecture of stacked autoencoders and long-short-term memory. The framework involves three stages:
- data preprocessing using the wavelet transform, which is applied to decompose the forex price time series to eliminate noise;
- application of the stacked autoencoders, which has a deep architecture trained in an unsupervised manner; and
- the use of long-short-term memory with delays to generate the one-step-ahead output.
In particular, this procedure consists of three parts. The first part is the training part, which is used to train the model and update model parameters. The second part is the validating part. It uses it to tune hyper-parameters and get an optimal model setting. The last one is the test part, where we use the optimal model to predict data. In the training part, we use the past ten years’ worth of data to train the models.
Expert Advisor recommended configuration
The Net Brain EA is very easy to use. It’s is an EA type drag and drop and does not need more configuration then to adjust the lot size to the desired value. Below the time-frame and pairs to use the EA:
- Recommended forex Pairs: EURUSD
- Time-frame: H1 Chart
- Minimum deposit: $100
- Recommended spread but not limited: 1 pip
- Lot - Contract size
That’s all you need to start using your EA The Net Brain MT4!
Note: This Expert Advisor is available for both MT4 and MT5 platforms.