# Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-approach-for-short-term-stock-trends-prediction-based-on-two/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dang Lien Minh,Abolghasem Sadeghi‐Niaraki,Huynh Duc Huy,Kyungbok Min,Hyeonjoon Moon |
| Citations | 268 |
| DOI | 10.1109/access.2018.2868970 |
| Fields | Decision Sciences,Economics, Econometrics and Finance,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1109/access.2018.2868970 |
| OpenAlex ID | https://openalex.org/W2891929938 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Abolghasem Sadeghi‐Niaraki](https://scholariq.org/researchers/abolghasem-sadeghi-niaraki/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

## Paper topics

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Financial Markets and Investment Strategies](https://scholariq.org/topics/financial-markets-and-investment-strategies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.