Main Reference PaperA hybrid supervised semi-supervised graph-based model to predict one-day ahead movement of global stock markets and commodity prices, Expert Systems With Applications, 2018.[Python]
  • A hybrid supervised semi-supervised model referred to HyS3 proposed for predicting the global market. It exploits both the historical data and the interaction of the market through the Continuous Kruskal-based Graph construction algorithm (ConKruG).

Description
  • A hybrid supervised semi-supervised model referred to HyS3 proposed for predicting the global market. It exploits both the historical data and the interaction of the market through the Continuous Kruskal-based Graph construction algorithm (ConKruG).

  • To predict the evolution of the market

  • To attain better prediction results

Aim & Objectives
  • To predict the evolution of the market

  • To attain better prediction results

  • To develop the system based on the various sources include a social network, tweets about the stock will improve the accuracy of prediction

Contribution
  • To develop the system based on the various sources include a social network, tweets about the stock will improve the accuracy of prediction

  • 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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