International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Strategic Selection of Machine Learning Models for Short-term Trading Optimization

Author(s) Suman Halder, Debjyoti Bagchi, Anirban Samanta, Debarghya Mondal, Subhradeep Samanta, Shreya Hati, Abhishek Kundu
Country India
Abstract Stock market prediction is a key aspect for a financial analyst and investor, as it facilitates better decisions and improved investment strategies. Towards this end, this project compares how machine learning (ML) models perform in predicting stock market prices with relatively small dataset sizes so as to get the best performing one. This study evaluates the efficiency and accuracy of artificial neural networks, support vector regression, LSTM and decision trees in capturing market trends and forecasting stock movements. The importance of our proposed paper lies in its potential to demystify the complexities of financial markets for students and new entrants in the field of finance. Participants can garner practical insights on how the stock market operates and the application of theoretical ML concepts to financial analytics by identifying the best-performing ML models with limited datasets, which is a common occurrence in real-life situations. This paper aims to analyse the commonly present machine learning models in stock market prediction and choose the most effective model depending upon their performance, which is achieved using limited information (short term data). This would provide an edge in taking small (less-risky) informed financial decisions without extensive study of the stock market.
Keywords Keywords: Stock Market, Machine Learning, Random Forest (RF), Support Vector Regression (SVR), Artificial Neural Network (ANN), Long Short-Term Memory (LSTM).
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-18
Cite This Strategic Selection of Machine Learning Models for Short-term Trading Optimization - Suman Halder, Debjyoti Bagchi, Anirban Samanta, Debarghya Mondal, Subhradeep Samanta, Shreya Hati, Abhishek Kundu - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20529
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20529
Short DOI https://doi.org/gtvtxv

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