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- W3196033536 abstract "A neural network is an intelligent data mining techniquethat specializes in finding patterns through humungous datasets. Prediction of the stock market is a key instrument in today’s economy. There are various algorithms used to forecast the financial markets which can be categorized into linear and non-linear models. There have been many previous attempts to use daily market data (Open price, close price, volume, turnover, volatility ) and feed them into a deep learning model to predict the movement of the price of a stock which has attained varying degrees of success. In this paper, we are using Deep neural networks and feeding them data from interim financial statements to predict the quarter-wise movement of the price of a stock. The network was trained on data from companies listed in NSE. the Interim financial results data was taken from CIME ProwessIQ." @default.
- W3196033536 created "2021-08-30" @default.
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- W3196033536 date "2021-08-18" @default.
- W3196033536 modified "2023-09-28" @default.
- W3196033536 title "NSE STOCK MARKET PREDICTION USING DEEP-LEARNING ON INTERIM FINANCIAL STATEMENTS" @default.
- W3196033536 hasPublicationYear "2021" @default.
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