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 …
Stock price prediction using CNN and LSTM-based deep learning models
S Mehtab, J Sen - … Conference on Decision Aid Sciences and …, 2020 - ieeexplore.ieee.org
Designing robust and accurate predictive models for stock price prediction has been an
active area of research over a long time. While on one side, the supporters of the efficient …
active area of research over a long time. While on one side, the supporters of the efficient …
Stock price prediction using convolutional neural networks on a multivariate timeseries
S Mehtab, J Sen - arXiv preprint arXiv:2001.09769, 2020 - arxiv.org
Prediction of future movement of stock prices has been a subject matter of many research
work. In this work, we propose a hybrid approach for stock price prediction using machine …
work. In this work, we propose a hybrid approach for stock price prediction using machine …
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 …
Analysis and forecasting of financial time series using CNN and LSTM-based deep learning models
S Mehtab, J Sen - Advances in Distributed Computing and Machine …, 2022 - Springer
Designing predictive models for forecasting future stock price has always been a very
popular area of research. On the one hand, the proponents of the famous efficient market …
popular area of research. On the one hand, the proponents of the famous efficient market …
Robust analysis of stock price time series using CNN and LSTM-based deep learning models
S Mehtab, J Sen, S Dasgupta - 2020 4th International …, 2020 - ieeexplore.ieee.org
Prediction of stock price and stock price movement patterns has always been a crucial task
for researchers. While the well-known efficient market hypothesis rules out any possibility of …
for researchers. While the well-known efficient market hypothesis rules out any possibility of …
[PDF][PDF] Fitting multi-layer feed forward neural network and autoregressive integrated moving average for Dhaka Stock Exchange price predicting
The stock market plays a vital role in the economic development of any country. Stock
market performance can be measured by the market capitalization ratio as well as many …
market performance can be measured by the market capitalization ratio as well as many …
Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction
J Sen, S Mehtab - Emerging Computing Paradigms: Principles …, 2022 - Wiley Online Library
Although recurrent neural networks (RNNs) are effective in handling sequential data, they
are poor in capturing the long‐term dependencies in the data due to a problem known as …
are poor in capturing the long‐term dependencies in the data due to a problem known as …
Introductory chapter: machine learning in finance-emerging trends and challenges
The paradigm of machine learning and artificial intelligence has pervaded our everyday life
in such a way that it is no longer an area for esoteric academics and scientists putting their …
in such a way that it is no longer an area for esoteric academics and scientists putting their …
Algorithmic trading and short-term forecast for financial time series with machine learning models; state of the art and perspectives
Stock price prediction with machine learning is an oft-studied area where numerous
unsolved problems still abound owing to the high complexity and volatility that technical …
unsolved problems still abound owing to the high complexity and volatility that technical …