# Jeonghwan-Cheon/lob-deep-learning

<https://repo.masters-masters.com/en/repos/Jeonghwan-Cheon/lob-deep-learning>

[Home](https://repo.masters-masters.com/en) › [Jeonghwan-Cheon](https://repo.masters-masters.com/en/owners/Jeonghwan-Cheon) › [lob-deep-learning](https://repo.masters-masters.com/en/repos/Jeonghwan-Cheon/lob-deep-learning)

Jeonghwan-Cheon/lob-deep-learning has 162 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of various deep learning models for limit…

| Field | Value |
| --- | --- |
| Owner | [Jeonghwan-Cheon](https://repo.masters-masters.com/en/owners/Jeonghwan-Cheon) |
| Stars | 162 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | financial-engineering, deep-learning, market-microstructure, high-frequency-trading, limit-order-book, convolutional-neural-networks, lstm, transformer |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Jeonghwan-Cheon/lob-deep-learning](https://github.com/Jeonghwan-Cheon/lob-deep-learning) |

## Repository

Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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