Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions

By Juan C. King, José M. Amigó

Published 2025-11-20

Everscope rating

1305.5

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Hybrid LSTM-Random Forest Model. Problem types: Classification, Time Series Forecasting, Algorithmic Execution, Portfolio Optimization.

arXiv:2512.02036 · Code · Paper rankings

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