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.

Implemented a player agent that uses algorithmic strategy to score high on a predefined, random seeded Pac-Man game framework.

A high-performance Python-based automation script designed to interface with brokerage APIs for executing real-time stock buy orders based on custom algorithmic triggers.

A 2026 financial analysis utility designed for real-time market monitoring and portfolio optimization. It features automated stock screening, technical indicator alerts (RSI, MACD), and risk-assessment modules. The helper includes API integration for live price tracking and data-driven suggestions for diverse trading strategies.

Course notes for mastering algorithm design and analysis.