Main Reference PaperCombining Support Vector Machine with Genetic Algorithms to Optimize Investments in Forex Markets with High Leverage, Applied Soft Computing, 2018 [Python]
  • The fusion of Support Vector Machine (SVM) and the Genetic Algorithm (GA) in the FOREX trading system helps to classify and discover various trending rules for deciding the entryway or exit to the market. It comfortably fit for the various environments under the evolution of price.

Description
  • The fusion of Support Vector Machine (SVM) and the Genetic Algorithm (GA) in the FOREX trading system helps to classify and discover various trending rules for deciding the entryway or exit to the market. It comfortably fit for the various environments under the evolution of price.

  • To provide the feasible solution to the forex market invest based on the price sequence

  • To obtain enhanced performance

Aim & Objectives
  • To provide the feasible solution to the forex market invest based on the price sequence

  • To obtain enhanced performance

  • The volatile prediction in the system enables the enhanced prediction accuracy of forex market investment.

Contribution
  • The volatile prediction in the system enables the enhanced prediction accuracy of forex market investment.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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