Portfolio Optimization by utilizing Fundamental and Price-Volume Analytics with Machine Learning Techniques XGBoost and LSTM Model Architectures

Portfolio Optimization by utilizing Fundamental and Price-Volume Analytics with Machine Learning Techniques XGBoost and LSTM Model Architectures

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/v895n
Primary Topic
Risk and Portfolio Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Portfolio Optimization by utilizing Fundamental and Price-Volume Analytics with Machine Learning Techniques XGBoost and LSTM Model Architectures

Open Science Framework
Risk and Portfolio Optimization
article

Portfolio Optimization by utilizing Fundamental and Price-Volume Analytics with Machine Learning Techniques XGBoost and LSTM Model Architectures

article en

Abstract

Portfolio Optimization by utilizing Fundamental and Price-Volume Analytics with Machine Learning Techniques XGBoost and LSTM Model Architectures

Open Science Framework
Openalex Percentile: Top 53%
Risk and Portfolio Optimization
DOIOpen Access PDFOpenAlex
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Portfolio Optimization by utilizing Fundamental and Price-Volume Analytics with Machine Learning Techniques XGBoost and LSTM Model Architectures · Open Science Framework (2025) | TGRS Research Map | TGRS