Deep Moving Average MT4

Every indicator has its advantages and disadvantages. Trending ones show good signals during a trend, but lag during a flat. Flat ones thrive in the flat, but die off as soon as a trend comes. All this would not be a problem, if it was easy to predict when a flat changes to a trend and when a trend changes to a flat, but in practice it is an extremely serious task.

What if you develop such an algorithm, which could eliminate an indicator's flaws and enhance its strengths? What if such an algorithm could improve the operation of a trend indicator during a flat, but at the same time increase the efficiency during a trend, and fix the signals of a flat indicator during a trend and perfect them during a flat?

Deep is the algorithm that enhances the advantages of an indicator and reduces its disadvantages. This algorithm improves indicator quality as a result of combining neural networks with indicator algorithm.

About the Deep algorithm

The specified task, due to its non-reproducibility and complex regularity, are best soled by non-linear algorithms. Neural networks are a very versatile and powerful tool, which allows to achieve a lot, if the task is set correctly and the solution is formed reasonable. The algorithm is based on this tool.

This algorithm calculates the optimal periods of the moving average, depending on the state of the trend and the flat. The algorithm trains the neural network to predict the optimal moving average for each market condition, so the indicator adapts to the flat and trend, eliminating the shortcomings of the basic algorithm. In the flat condition, the neural network adapts the period of the moving average in the direction of the flat, in the trending condition in the direction of the trend.

The neural network architecture and the heuristic search algorithm were designed specifically for the optimal solution of the task. For convenience, there are Presets of the neural network structure, as well as all the necessary parameters for fine-tuning the neural network.

Advantages

  • The algorithm has a self-learning system. This is an adaptive system that helps to learn flexibly all the time using a neural network so that the algorithm always keeps up with all market changes.
  • Graphical control panel. Using the panel directly on the chart, you can flexibly control and manage the learning system.
  • Parameters for fine-tuning all functions.
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    Les Gold Targets sont le meilleur indicateur de tendance. L'algorithme unique de l'indicateur analyse l'évolution du prix de l'actif, en tenant compte des facteurs d'analyse technique et mathématique, détermine les points d'entrée les plus rentables, émet un signal sous la forme d'une flèche et le niveau des prix (ACHETER Entrée / VENDRE Entrée) pour ouvrir une commande. L'indicateur affiche également immédiatement le niveau de prix pour le Stop Loss et cinq niveaux de prix pour le Take Profit.
    Un modèle de graphique en triangle symétrique représente une période de contraction et de consolidation avant que le prix ne soit forcé de casser à la hausse ou de s'effondrer. Une cassure de la ligne de tendance inférieure marque le début d'une nouvelle tendance baissière, tandis qu'une cassure de la ligne de tendance supérieure indique le début d'une nouvelle tendance haussière. Obtenez le tableau de bord pour surveiller tous les instruments et les délais que vous échangez contre des modèles
    The Extreme point indicator helps in determining the probable price reversal points on the chart. The indicator facilitates the search for points to enter the market with greater accuracy. The indicator displays certain impulses, after which there is a high probability of the price continuing its movement in the same direction. The indicator can be used in conjunction with other indicators for a more accurate detection of the position entry points. The indicator can also be used independently. F
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