Stock Market Analysis and Stock Prices Prediction with Long Short-term Model

Hang Yu

2022

Abstract

The Stock Market Analysis and Prediction project uses Yahoo Finance data to investigate and anticipate stock market volatility using technical analysis, visualization, and forecasting. Analyzed a stock’s risk based on its prior performance history by using pandas to gather stock information and then visualizing it in a variety of ways. With the use of data visualization, we want to get a deeper knowledge of the stock market data in order to create predictions about future stock performance and risk value for specific stocks as part of this project. Statistical analysis and data mining are part of the project. NumPy, Pandas, and Data Visualization Libraries are all heavily used in this project. Long short-term memory was used to make predictions about future stock values. With historical data, the long short-term memory approach was able to forecast properly, with a mean square error of roughly 3. Pre-training models of long-term memory were used to predict the validation data.

Paper Citation

in Harvard Style

Yu H. (2022). Stock Market Analysis and Stock Prices Prediction with Long Short-term Model. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 466-470. DOI: 10.5220/0011186200003440

in Bibtex Style

@conference{bdedm22,
author={Hang Yu},
title={Stock Market Analysis and Stock Prices Prediction with Long Short-term Model},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={466-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011186200003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Stock Market Analysis and Stock Prices Prediction with Long Short-term Model
SN - 978-989-758-593-7
AU - Yu H.
PY - 2022
SP - 466
EP - 470
DO - 10.5220/0011186200003440