Implemented a player agent that uses algorithmic strategy to score high on a predefined, random seeded Pac-Man game framework.
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Updated
Jul 9, 2023 - Java
Implemented a player agent that uses algorithmic strategy to score high on a predefined, random seeded Pac-Man game framework.
This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various algorithmic traders. The simulator includes a FIX (Financial Information eXchange) protocol handler, a market-making algorithm, and synthetic liquidity generation.
Course notes for mastering algorithm design and analysis.
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