Name | jaxlob JSON |
Version |
0.19
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upload_time | 2023-10-22 08:46:17 |
maintainer | |
docs_url | None |
author | |
requires_python | |
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# JAX-LOB
## JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
### Architecture of the package:
* `gymnax_exchange`: the `GPU` version of rl_environment
* `jaxob`: Jax limit order book
* `jaxen`: Jax trading_environment
* `jaxrl`: Jax training loop
## Dependencies
```
pip install jax[cuda]==0.4.11 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html jaxlib==0.4.11 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html distrax brax chex flax optax gymnax wandb
```
## Installation
To install the latest version of Jaxlob, run:
```bash
pip install jaxlob
```
## Citation
If you find this project useful, please cite:
```
@misc{frey2023jaxlob,
title={JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading},
author={Sascha Frey and Kang Li and Peer Nagy and Silvia Sapora and Chris Lu and Stefan Zohren and Jakob Foerster and Anisoara Calinescu},
year={2023},
eprint={2308.13289},
archivePrefix={arXiv},
primaryClass={q-fin.TR}
}
```
## Contribution
* Anyone who might contribute codes to this repository, please email me: kang@robots.ox.ac.uk
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