Stock Price Prediction using Deep Learning and FLASK
- Title
- Stock Price Prediction using Deep Learning and FLASK
- Creator
- Lakshmanarao A.; Babu M.R.; Gupta C.; Lakshmi A.S.G.
- Description
- The forecasting of stock prices is one of the most explored issues, and it attracts the attention of both academics and business professionals. It is quite difficult to make predictions about the stock market, and it takes extensive research into the patterns of data. With the expansion of the internet and indeed the growth of social media, online media and opinions frequently mirror investor sentiment. The volatility and non-linear structure of the financial stock markets makes accurate forecasting difficult. One of the sophisticated analysis techniques that is being used by academics in a variety of fields is the neural network. In this paper, we proposed deep learning techniques for google stock price prediction. A dataset from Kaggle was collected and applied deep learning techniques RNN, LSTM variants. We achieved better results with Bidirectional LSTM. We also created a web app for stock prediction using Christ University python FLASK. 2022 IEEE.
- Source
- Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Deep Learning; Kaggle; LSTM; RNN; Stock Prediction
- Coverage
- Lakshmanarao A., Aditya Engineering College, Department of IT, Surampalem, India; Babu M.R., Aditya Engineering College, Department of IT, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, India; Lakshmi A.S.G., Mallareddy College of Engineering Maisammaguda, Department of CSE, Dhulapally, Secunderabad, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166547413-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Lakshmanarao A.; Babu M.R.; Gupta C.; Lakshmi A.S.G., “Stock Price Prediction using Deep Learning and FLASK,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 28, 2025, https://archives.christuniversity.in/items/show/20227.