Abstract

Python, an open source language has been widely used in the field of data analysis in recent years, especially in the financial field. It can solve almost all financial and economic measurement problems. In the global financial market trading is one of the most important tasks. The stock market forecast is an act of trying to determine the future value of another financial instrument traded on a currency exchange.The thought is to observe how well the changes in stock prices of a company, the rises and falls are related with the information, actions taking place on a day to day basis. Technology has come to be an essential, irreplaceable asset in finance: it brings about innovation and accelerates the development helping to gain a competitive advantage, the rate and frequency of financial transactions, with large volumes of data has become the main enabler in technology for finance. Initial public offerings (IPOs) have been a prominent focus of academic and popular press attention, especially in recent years. The stock market is sensitive to the political and macroeconomic environment. Cryptocurrency prices are extremely volatile, the prices fluctuate often over short periods of times, one can observe exceptional gains in a new crypto with so much circulation of money, getting people to invest instantly in bulk. However, these two types of information are very complex and do not depend on each other. The financial market is an abstract concept in which financial assets such as stocks, bonds, and precious metal transactions occur between buyers and sellers. In the current state of the financial market, especially in the stock market and the cryptocurrency world, the prediction of the practice or price of stocks has made a very interesting issue to be investigated.

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