Main Reference PaperTrading financial indices with reinforcement learning agents, Expert Systems With Applications, 2018.
  • In order to trade the portfolio assets, the proposed methods introduce multiple reinforcement learning agents. It exploits the U.S. Treasury note (T-note) data to compute the allocation of the portfolio for the forthcoming trading period

+ Description
  • In order to trade the portfolio assets, the proposed methods introduce multiple reinforcement learning agents. It exploits the U.S. Treasury note (T-note) data to compute the allocation of the portfolio for the forthcoming trading period

  • To trade the portfolio assets

  • To acquire best results in the prediction of portfolio allocation for future

+ Aim & Objectives
  • To trade the portfolio assets

  • To acquire best results in the prediction of portfolio allocation for future

  • The consideration of non-linear functions based on the neural networks produce better predictions

+ Contribution
  • The consideration of non-linear functions based on the neural networks produce better predictions

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • 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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