Main Reference PaperTemporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data, IEEE transactions on emerging topics in computational intelligence, 2018 [Java/Python/R]
  • The proposed Bag-of-Features (BoF) based neural network model allows to capture both the short-term behavior and the long-term dynamics of the financial market from the time series. Then, it fed into classifier to forecast the evolution of mid-price.

+ Description
  • The proposed Bag-of-Features (BoF) based neural network model allows to capture both the short-term behavior and the long-term dynamics of the financial market from the time series. Then, it fed into classifier to forecast the evolution of mid-price.

  • To forecast the financial market

  • To learn the financial market dynamics

+ Aim & Objectives
  • To forecast the financial market

  • To learn the financial market dynamics

  • The capacity of the proposed system further improved by utilizing the recurrent models

+ Contribution
  • The capacity of the proposed system further improved by utilizing the recurrent models

  • 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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