Abstract
The current world of technology is dominated by information and data. The most upcoming approach for analyzing and using the data efficiently is artificial intelligence which can be achieved by machine learning concepts. Financial market involves the advancement of various information and data which revolves around financial analysis, investing strategy, bonds, mutual funds, stocks, ETFS, real estate. Here in this chapter, we have revealed the gaps between financial ecosystem and why they are not accepting the new trends of artificial intelligence, with the help of machine learning concepts and we have also designed a basic algorithm which analyzes the graphical structure of the financial market, which can help to predict the upcoming flow of the market depending upon certain actions and activities that have been occurring currently or had a huge impact in the past. Furthermore, with the help of logistic regression, we can also determine whether the prediction was correct and efficient or not. In nutshell, by the means of pattern analyses and machine learning approach, and by this algorithm, it is possible to determine the growth of the market with certain efficiency, which can help even to those who are not relative to the domain to understand it and use their assets well making their work easier.
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Bhagchandani, A., Trivedi, D. (2021). A Machine Learning Algorithm to Predict Financial Investment. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_30
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DOI: https://doi.org/10.1007/978-981-15-4474-3_30
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