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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9770
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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