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Title: | Smart Stock Exchange Market: A Secure Predictive Decentralized Model |
Authors: | Chamola, Vinay |
Keywords: | EEE Stock markets Logic gates Peer-to-peer computing Predictive models Machine Learning |
Issue Date: | 2019 |
Publisher: | IEEE |
Abstract: | Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very hectic and cumbersome pro- cedures which are time consuming, cost inefficient and can be prone to numerous risks. Machine learning and Blockchain are most popular upcoming technologies. In this paper we present a novel secure and de- centralized intelligent stock market prediction model. We present a blockchain based solution for stock exchange model that uses machine learning accessible smart contracts. The machine learning model makes a prediction on the future of the stock market providing an intelligent solution for secure stock market. |
URI: | https://ieeexplore.ieee.org/abstract/document/9013787 http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9770 |
Appears in Collections: | Department of Electrical and Electronics Engineering |
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