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20192022
most citedStock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models

177 citations · 789 across the 17 of their papers we have counts for

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q-fin.ST2021★ 17 cited

Design and Analysis of Robust Deep Learning Models for Stock Price Prediction

Jaydip Sen, Sidra Mehtab

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 h…

q-fin.ST2021★ 14 cited

Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Model

Jaydip Sen, Abhishek Dutta, Sidra Mehtab

Designing robust systems for precise prediction of future prices of stocks has always been considered a very challenging research problem. Even more challenging is to build a syste…

q-fin.ST2021★ 43 cited

Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models

Jaydip Sen, Sidra Mehtab

Designing robust frameworks for precise prediction of future prices of stocks has always been considered a very challenging research problem. The advocates of the classical efficie…

q-fin.ST2021★ 70 cited

Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models

Sidra Mehtab, Jaydip Sen, Subhasis Dasgupta

Prediction of stock price and stock price movement patterns has always been a critical area of research. While the well-known efficient market hypothesis rules out any possibility…

q-fin.ST2020★ 177 cited

Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models

Sidra Mehtab, Jaydip Sen, Abhishek Dutta

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 stoc…

q-fin.ST2020★ 103 cited

A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models

Sidra Mehtab, Jaydip Sen

Prediction of future movement of stock prices has always been a challenging task for the researchers. While the advocates of the efficient market hypothesis (EMH) believe that it i…

q-fin.ST2020★ 60 cited

Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries

Sidra Mehtab, Jaydip Sen

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 l…

q-fin.ST2019★ 16 cited

A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing

Sidra Mehtab, Jaydip Sen

Prediction of future movement of stock prices has been a subject matter of many research work. There is a gamut of literature of technical analysis of stock prices where the object…