Stock Market Prediction using Machine Learning
| Author(s) | : | Prof. S .P. Pimpalkar, Jenish Karia, Muskaan Khan, Satyam Anand, Tushar Mukherjee |
| Institution | : | Department of Computer Engineering, AISSMS IOIT, SavitribaiPhule Pune University, Pune, India. |
| Published In | : | Vol. 4, Issue 16 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The coremotive of this project is to analysethe market and predict its performance using variousmachinelearning techniques. The predictive architecture will use various attributes as the input and will predictwhetherthe market value will be Positive or Negative. The various attributes that are used in the model include Oil rates, ForeignExchange Rate, Interest rate, Gold and Silver rates, NEWS, twitter news feedand Pattern Matching. The different MLtechniques including Support Vector Machine with regression (SVR) and Recurrent Neural Network are used. Thealgorithm SVRproduced the most efficient results among all.
Prof. S .P. Pimpalkar, Jenish Karia, Muskaan Khan, Satyam Anand, Tushar Mukherjee, “Stock Market Prediction using Machine Learning”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.
