Main Reference PaperImproving Financial Trading Decisions Using Deep Q-learning: Predicting the Number of Shares, Action Strategies, and Transfer Learning, Expert Systems With Applications, 2019 [R]
  • The proposed trading system predicts the total number of shares by including the deep neural network (DNN) regressor into a deep Q-network. In addition, it averts the overfitting issue of inadequate financial data through the transfer learning approach.

Description
  • The proposed trading system predicts the total number of shares by including the deep neural network (DNN) regressor into a deep Q-network. In addition, it averts the overfitting issue of inadequate financial data through the transfer learning approach.

  • To increase the traders’ profit

  • To address the issues of inadequate financial data

Aim & Objectives
  • To increase the traders’ profit

  • To address the issues of inadequate financial data

  • The prediction based on different market factor includes volatility helps to improve efficiency.

Contribution
  • The prediction based on different market factor includes volatility helps to improve efficiency.

  • 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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