LSTM-ARIMA as a Hybrid Approach in Algorithmic Investment Strategies

By Kamil Kashif, Robert Ślepaczuk

Published 2024-06-27

Everscope rating

1277.2

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: LSTM-ARIMA Hybrid. Problem types: Time Series Forecasting, Algorithmic Trading.

arXiv:2406.18206 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.