Runan Zhang & Jakub Wnęk, 2024
The goal of this repository is to replicate the market making trading strategy proposed in the paper "High-frequency trading in a limit order book" by Marco Avellaneda and Sasha Stoikov on a random walk stock price model. We aim to understand the behavior of stock prices in a high-frequency trading environment and validate our simulation model against the results provided in the paper.
Packages used:
- python >= 3.9.6
- numpy >= 1.26.2
- matplotlib >= 3.8.2
- ipython >= 8.23.0
- pandas >= 2.2.1
One can use included requirements.txt file to recreate the environment ('pip install -r requirements.txt').