# Deep Learning Techniques: GAN and LSTM for Stock Market Closing Price Prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-techniques-gan-and-lstm-for-stock-market-closing-price-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pappula Praveen,Anjaneyulu Gudla |
| Citations | 0 |
| DOI | 10.5935/jetia.v12i60.3947 |
| Fields | Decision Sciences,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://itegam-jetia.org/journal/index.php/jetia/article/download/3947/1742 |
| OpenAlex ID | https://openalex.org/W7172027535 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Anjaneyulu Gudla](https://scholariq.org/researchers/anjaneyulu-gudla/)

## Paper journal

- [ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)](https://scholariq.org/journals/itegam-journal-of-engineering-and-technology-for-industrial-applications-itegam/)

## 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/)
- [Forecasting Techniques and Applications](https://scholariq.org/topics/forecasting-techniques-and-applications/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

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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.