# imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict

<https://repo.masters-masters.com/en/repos/imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict>

[Home](https://repo.masters-masters.com/en) › [imhgchoi](https://repo.masters-masters.com/en/owners/imhgchoi) › [ARIMA-LSTM-hybrid-corrcoef-predict](https://repo.masters-masters.com/en/repos/imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict)

imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict has 435 stars on GitHub. Its RepoMasters card: Alpha tier. Applied an ARIMA-LSTM hybrid model to predict future…

| Field | Value |
| --- | --- |
| Owner | [imhgchoi](https://repo.masters-masters.com/en/owners/imhgchoi) |
| Stars | 435 |
| Forks | 127 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | machine-learning, arima-model, portfolio-optimization, neural-network |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict](https://github.com/imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict) |

## Repository

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.