Main Reference PaperPredicting Short-Term Stock Prices using Ensemble Methods and Online Data Sources, Expert Systems With Applications, 2018 [Java/Python/R]
  • The proposed stock price forecasting system predicts the stock price every month based on the knowledge base and the artificial intelligence system. The knowledge base helps to extract the historical data, new trends, technical indicator, and the stock information from the news article. The artificial intelligence system comprises the ensemble of machine learning techniques to predict the stock market price.

+ Description
  • The proposed stock price forecasting system predicts the stock price every month based on the knowledge base and the artificial intelligence system. The knowledge base helps to extract the historical data, new trends, technical indicator, and the stock information from the news article. The artificial intelligence system comprises the ensemble of machine learning techniques to predict the stock market price.

  • To forecast the stock price

+ Aim & Objectives
  • To forecast the stock price

  • To develop the prediction system based on the time-series stock market data

+ Contribution
  • To develop the prediction system based on the time-series stock market data

  • 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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