# hungchun-lin/Stock-price-prediction-using-GAN

<https://repo.masters-masters.com/en/repos/hungchun-lin/Stock-price-prediction-using-GAN>

[Home](https://repo.masters-masters.com/en) › [hungchun-lin](https://repo.masters-masters.com/en/owners/hungchun-lin) › [Stock-price-prediction-using-GAN](https://repo.masters-masters.com/en/repos/hungchun-lin/Stock-price-prediction-using-GAN)

hungchun-lin/Stock-price-prediction-using-GAN has 270 stars on GitHub. Its RepoMasters card: Alpha tier. In this project, we will compare two algorithms for…

| Field | Value |
| --- | --- |
| Owner | [hungchun-lin](https://repo.masters-masters.com/en/owners/hungchun-lin) |
| Stars | 270 |
| Forks | 106 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | stock-prediction, gan, lstm, gru, python |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hungchun-lin/Stock-price-prediction-using-GAN](https://github.com/hungchun-lin/Stock-price-prediction-using-GAN) |

## Repository

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utili…

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.