E-Commerce: Stock Market Analysis Blended With Mining and Ann

Ever since the advent of the financial industry, experts have attempted to create systems to track and analyze trends in the stock market. These systems have not suitably predicted future trends, limiting the advice given to consumers. Expert opinions are subject to human error and personal bias, which can potentially lead to financial losses to the consumer. Thus, a system devoid of personal bias, providing an accurate prediction is highly beneficial to the consumer, the broker and the corporations involved in financial markets. Such a system, coupled with the automatic trading system, will optimize transactions leading to overall economic growth. The proposed system performs as a basic I/O system. The input is the historical market data, and the stock to be predicted. The output is the recommendation on whether to buy or sell the stock and supplemental graphs to aid the consumer. The key modules of the system are the capture, analysis, search and visualisation modules. These feed into the prediction module, which uses the concept of mining based Artificial Neural Networks (ANN) to provide a reliable recommendation. Finally, all these modules represented to the consumer with webpage based convenient format via home screen.