Research Center

The purpose of RoboFx Research Center is to explore the latest innovative IT technologies for data analysis and develop new methods for automated trading.

We are currently exploring the following fields:

Artificial Neural Networks

Artificial neural network (ANN) is a computational model inspired by the structure and functionality of biological neural networks in the human brain. An ANN is an adaptive system that is capable of learning and improving itself over time. Neural networks have been widely used as a promising alternative approach for a forecasting task. They have become increasingly popular in financial market prediction.

Evolutionary Algorithms

Evolutionary Algorithms (EA) use mechanisms inspired by biological evolution: reproduction, crossover and mutation. They often perform well for all types of problems, generating useful solutions to optimization and search tasks. Evolutionary algorithms can be applied to Forex trading for multi-parameter optimization.

Adaptive Systems

Adaptive Systems are capable of self-adjusting in response to changing environments. Intelligent trading robots employ control systems that utilize feedback loops to sense new conditions in the market and adapt accordingly. Adaptive expert advisors are extremely powerful. Read full article: Adaptive Trading Robots