Main Reference PaperForecasting Stock Market Index Daily Direction: a Bayesian Network Approach, Expert Systems With Applications, 2018.[Python]
  • The proposed method exploits Bayesian Network to forecast the circumstances of the market. It has undergone analysis of the potential time window and the market indices for the prediction of the market. It reflects the inherent dependence between the markets.

Description
  • The proposed method exploits Bayesian Network to forecast the circumstances of the market. It has undergone analysis of the potential time window and the market indices for the prediction of the market. It reflects the inherent dependence between the markets.

  • To exploit the Bayesian Network for the identification of market

  • To reveal the dependence between the market through the analysis of indices

Aim & Objectives
  • To exploit the Bayesian Network for the identification of market

  • To reveal the dependence between the market through the analysis of indices

  • To develop the system by including the cross-validation approach to mitigate the influence seasonality.

Contribution
  • To develop the system by including the cross-validation approach to mitigate the influence seasonality.

  • 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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