Stock Trend Prediction

This paper presents a Stock Trend Prediction System using machine learning techniques to predict future stock price trends based on historical data. The system incorporates data preprocessing, feature extraction, and advanced predictive models like Long Short-Term Memory (LSTM) networks. The implementation and evaluation are detailed, highlighting its potential applications in finance and trading.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-03
DOI
https://doi.org/10.5281/zenodo.14263312
Primary Topic
Cerebrovascular and genetic disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Stock Trend Prediction

Zenodo (CERN European Organization for Nuclear Research)
Cerebrovascular and genetic disorders
article

Stock Trend Prediction

article en

Abstract

This paper presents a Stock Trend Prediction System using machine learning techniques to predict future stock price trends based on historical data. The system incorporates data preprocessing, feature extraction, and advanced predictive models like Long Short-Term Memory (LSTM) networks. The implementation and evaluation are detailed, highlighting its potential applications in finance and trading.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Cerebrovascular and genetic disorders
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Stock Trend Prediction · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS