# javifalces/HFTFramework

<https://repo.masters-masters.com/en/repos/javifalces/HFTFramework>

[Home](https://repo.masters-masters.com/en) › [javifalces](https://repo.masters-masters.com/en/owners/javifalces) › [HFTFramework](https://repo.masters-masters.com/en/repos/javifalces/HFTFramework)

javifalces/HFTFramework has 309 stars on GitHub. Its RepoMasters card: Alpha tier. HFTFramework utilized for research on " A reinforcement learning approach…

| Field | Value |
| --- | --- |
| Owner | [javifalces](https://repo.masters-masters.com/en/owners/javifalces) |
| Stars | 309 |
| Forks | 64 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | algorithmic, hft, high-frequency-trading, trading, trading-bot, trading-strategies, deep-learning, market-maker, market-making, market-making-bot |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [javifalces/HFTFramework](https://github.com/javifalces/HFTFramework) |

## Repository

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

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.