Forecasting stock prices using financial data mining and Neural Network

The goal of this project is thus to experiment with ANNs and to evaluate performance of ANN models in studying stock price patterns in time by attempting to predict future results of a time-series by simply studying patterns in the time-series of stock prices. In this project we have instantiated the proposed Neural Network using the stock prices of Iran Tractor Manufacturing Company during two years and the results of implementation is shown by proper diagrams. As a result we have shown more usability of data mining in decision making of stock market by selecting appropriate architecture to the Neural Network and preparing input data using required and relevant techniques and finally training the network using Back Propagation algorithm.