Abstract

We all know that the stock market is a very difficult market for investment and needs strong brainstorming before one shall start investing money in it. The field of stock price analysis requires immense research and deep knowledge of finance. Stock Market Analysis is one of the leading use of fundamentals of machine learning. [1]It is very difficult to find the future price of stock market because of the volatile nature of the market. Our work focuses on the LSTM model to predict the prices using strategic parameters of stock market like RMSE and MAPE. The lower the values of the parameter shows the higher accuracy of the our model.

Keywords:
Stock market prediction Stock market Stock (firearms) Brainstorming Stock price Econometrics Financial economics Computer science Economics Artificial intelligence Engineering

Metrics

2
Cited By
0.65
FWCI (Field Weighted Citation Impact)
8
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stock Market Forecasting Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Financial Markets and Investment Strategies
Social Sciences →  Economics, Econometrics and Finance →  Finance
Forecasting Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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