Main Reference PaperSupport vector regression with modified firefly algorithm for stock price forecasting, Applied Intelligence, 2018 [Java/Python/R]
  • A stock price prediction is based on the modified firefly algorithm (MFA) and the support vector regression (SVR). To improve the performance of the FA, a chaotic strategy is proposed. In addition, to improve the prediction accuracy, the proposed MFA is employed to optimize the SVR parameters.

+ Description
  • A stock price prediction is based on the modified firefly algorithm (MFA) and the support vector regression (SVR). To improve the performance of the FA, a chaotic strategy is proposed. In addition, to improve the prediction accuracy, the proposed MFA is employed to optimize the SVR parameters.

  • To improve the accuracy of stock price prediction

+ Aim & Objectives
  • To improve the accuracy of stock price prediction

  • The proposed method is applied to other prediction problems, such as stock indexes, electricity loads, air conditioning loads, and traffic flows

+ Contribution
  • The proposed method is applied to other prediction problems, such as stock indexes, electricity loads, air conditioning loads, and traffic flows

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: 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.

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