# mjuchli/ctc-executioner

<https://repo.masters-masters.com/en/repos/mjuchli/ctc-executioner>

[Home](https://repo.masters-masters.com/en) › [mjuchli](https://repo.masters-masters.com/en/owners/mjuchli) › [ctc-executioner](https://repo.masters-masters.com/en/repos/mjuchli/ctc-executioner)

mjuchli/ctc-executioner has 179 stars on GitHub. Its RepoMasters card: Prototype tier. Master Thesis: Limit order placement with Reinforcement Learning

| Field | Value |
| --- | --- |
| Owner | [mjuchli](https://repo.masters-masters.com/en/owners/mjuchli) |
| Stars | 179 |
| Forks | 81 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2017 |
| Topics | openai-gym, openai-gym-environment, openai-gym-agents, execution-strategy, reinforcement-learning, order-placement, limit-order-book, match-engine, dqn, q-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mjuchli/ctc-executioner](https://github.com/mjuchli/ctc-executioner) |

## Repository

Master Thesis: Limit order placement with Reinforcement Learning

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.