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- W4313444930 abstract "Predicting stock price in the short term is always a demanding task over the decades. Every common thought of a human being is to devote money to stock markets which results in tremendous output. Strong research time was invested in stock market prediction as it is an important phenomenon of the economy. This has also sparked the development of improved models for stock price analysts. The autoregressive integrated moving average (ARIMA) is a type of moving average model that is used to for building a stock price forecasting model. In this paper, ARIMA models have been used to predict the stock price of daily trading stock prices published in the Bombay Stock Exchange (BSE) and National Stock Exchange (NSE). ARIMA model is analyzed for time series prediction, and the results obtained using this model show strong accuracy for short term and daily stock prediction, and this engages with other model for predicting stock price." @default.
- W4313444930 created "2023-01-06" @default.
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- W4313444930 date "2023-01-01" @default.
- W4313444930 modified "2023-10-16" @default.
- W4313444930 title "An Analysis on Tesla’s Stock Price Forecasting Using ARIMA Model" @default.
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- W4313444930 doi "https://doi.org/10.1007/978-981-19-2358-6_8" @default.
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