Work

Stock Trend Prediction

Year: 2024

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14263312

Author: Tanmay Memane, Vedant Thakare, Abhay Deshmukh, Kartik Attarde, Mrs. Sneha Singha

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6911839534

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