A Hybrid Model for Stock Price Prediction using Machine Learning Techniques with CNN

Sarvesh, S.; Sidharth, R; Vaishnav, V.; Thangakumar, J.; Sathyalakshmi, S.

doi:10.1109/iscon52037.2021.9702382

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…CNN has been created to enhance conventional statistical models including sales forecasting. For instance, Sarvesh et al [17], employed a CNN model to forecast future sales by forecasting the amount of stock in the Brazilian retail business using data from the Yahoo Finance API.…”

Section: Convolutional Neural Network (Cnn)mentioning

confidence: 99%

See 1 more Smart Citation

Sales Forecasting Using Convolution Neural Network

Wan Khairul Hazim Wan Khairul Amir,

Afiqah Bazlla Md Soom,

Aisyah Mat Jasin

et al. 2023

ARASET

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Sales forecasting is an essential component of business management, providing insight into future sales and revenue. It is critical for effective inventory management, cash flow, and business growth planning. While many retailers rely on simple Excel functions or subjective guesses from management, the industry is increasingly turning to machine learning techniques to develop more accurate and reliable prediction models. Among these techniques, Convolutional Neural Networks (CNN) emerged as a suitable option due to their ability to learn and improve accuracy over time. CNN applies several layers to make predictions, adjusting their weights with each input data point to minimize prediction error. As a result, sales forecasting with neural networks can significantly improve market operations and productivity for businesses. The validity of the proposed model is compared with the Facebook Prophet method, which is known as the recent time series forecasting method.

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Section: Convolutional Neural Network (Cnn)mentioning

confidence: 99%

“…Sarvesh et al [17] proposed a hybrid model that combines a CNN with Long Short-Term Memory (LSTM) to predict stock prices. The authors utilized a dataset consisting of historical stock prices and technical indicators for several companies listed on the Indian stock exchange.…”

Section: Convolutional Neural Network (Cnn)mentioning

confidence: 99%