Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement Prediction

2021/06/03 by Kunal Bhardwaj, Bhardwaj, Kunal
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Stock Market Forecasting Methods

paper · pdf · doi:10.48550/arxiv.2106.01920

openalex publication_date 2021/06/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

With technological advancements and the exponential growth of data, we have been unfolding different capabilities of neural networks in different sectors. In this paper, I have tried to use a specific type of Neural Network known as Convolutional Neural Network(CNN/ConvNet) in the stock market. In other words, I have tried to construct and train a convolutional neural network on past stock prices data and then tried to predict the movement of stock price i.e. whether the stock price would rise or fall, in the coming time.

Citations

• Gradient-based learning applied to document recognition
• A Study on Overfitting in Deep Reinforcement Learning

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