Stanislav Tomilov

Aura Rocket is a one-of-a-kind expert based on deep machine learning and hyperparameter search technology. It is based on the successful Aura Turbo grid expert, with the help of a multilayer perceptron, the entry point has been refined. Several auxiliary proprietary indicators have been added. The Expert Advisor opens trades mainly in the direction of the trend, each trade is protected with a stop loss. No dangerous money management methods are used. Expert does not use Martingale, grid algorit

Aura Rocket is a one-of-a-kind expert based on deep machine learning and hyperparameter search technology. It is based on the successful Aura Turbo grid expert, with the help of a multilayer perceptron, the entry point has been refined. Several auxiliary proprietary indicators have been added. The Expert Advisor opens trades mainly in the direction of the trend, each trade is protected with a stop loss. No dangerous money management methods are used. Expert does not use Martingale, grid algorit

The Matterhorn is a simple but unique grid expert. The Expert Advisor contains a combination of author's indicators and sophisticated grid algorithms. The Expert Advisor allows you to use both the suggested settings files and a wide range of parameters for more fine-tuning personalised settings. The Expert Advisor uses trend and counter-trend indicators, classical grid algorithms with averaging and martingale as well as pyramiding are used in trading. The Expert Advisor is flexible in its settin

Aura Turbo is a unique grid expert based on deep machine learning, hyperparameter search technology. In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. The same kind of machine learning model can require different constraints, weights or l

Aura Turbo is a unique grid expert based on deep machine learning, hyperparameter search technology. In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. The same kind of machine learning model can require different constraints, weights or l

Aura Black Edition is a fully automated EA designed to trade GOLD only. Expert showed stable results on XAUUSD in 2011-2020 period. No dangerous methods of money management used, no martingale, no grid or scalp. Suitable for any broker conditions. EA trained with a multilayer perceptron Neural Network (MLP) is a class of feedforward artificial neural network (ANN). The term MLP is used ambiguously, sometimes loosely to any feedforward ANN, sometimes strictly to refer to networks composed of mult

Aura Black Edition is a fully automated EA designed to trade GOLD only. Expert showed stable results on XAUUSD in 2011-2020 period. No dangerous methods of money management used, no martingale, no grid or scalp. Suitable for any broker conditions. EA trained with a multilayer perceptron Neural Network (MLP) is a class of feedforward artificial neural network (ANN). The term MLP is used ambiguously, sometimes loosely to any feedforward ANN, sometimes strictly to refer to networks composed of mult

Aura Pro is a unique grid expert based on deep machine learning, hyperparameter search technology. In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter which value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. The same kind of machine learning model can require different constraints, weights or le

Aura Pro is a unique grid expert based on deep machine learning, hyperparameter search technology. In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter which value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. The same kind of machine learning model can require different constraints, weights or le