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Stock price prediction using machine learning and LSTM-based deep learning models
Prediction of stock prices has been an important area of research for a long time. While
supporters of the efficient market hypothesis believe that it is impossible to predict stock …
supporters of the efficient market hypothesis believe that it is impossible to predict stock …
A time series analysis-based stock price prediction using machine learning and deep learning models
S Mehtab, J Sen - International Journal of Business …, 2020 - inderscienceonline.com
Prediction of future movement of stock prices has always been a challenging task for
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …
Stock price prediction using convolutional neural networks on a multivariate timeseries
S Mehtab, J Sen - ar** a reliable and accurate predictive model
for stock price prediction. According to the literature, if predictive models are correctly …
for stock price prediction. According to the literature, if predictive models are correctly …
[PDF][PDF] Stock price prediction using machine learning and deep learning frameworks
J Sen, TD Chaudhuri - … of the 6th international conference on …, 2018 - academia.edu
Stock price prediction has always been a challenging task for the researchers in financial
domain. While the Efficient Market Hypothesis claims that it is impossible to predict stock …
domain. While the Efficient Market Hypothesis claims that it is impossible to predict stock …
A forecasting framework for the Indian healthcare sector index
J Sen - International Journal of Business Forecasting and …, 2022 - inderscienceonline.com
Forecasting of future stock prices is a complex and challenging research problem due to the
random variations that the time series of these variables exhibit. In this work, we study the …
random variations that the time series of these variables exhibit. In this work, we study the …
A study on the performance evaluation of equal-weight portfolio and optimum risk portfolio on the Indian stock market
Designing an optimum portfolio for allocating suitable weights to its constituent assets so
that the return and risk associated with the portfolio are optimised is a computationally hard …
that the return and risk associated with the portfolio are optimised is a computationally hard …
Design and analysis of robust deep learning models for stock price prediction
J Sen, S Mehtab - arxiv preprint arxiv:2106.09664, 2021 - arxiv.org
Building predictive models for robust and accurate prediction of stock prices and stock price
movement is a challenging research problem to solve. The well-known efficient market …
movement is a challenging research problem to solve. The well-known efficient market …