Mark Mednikov

Projects

Kalshi Order Book Scraper

June 2026 • Python, REST

A read-only data capture tool that polls Kalshi's REST API to collect live order book snapshots, allowing for historical data sets Kalshi does not publicly provide. Used for strategy research, backtesting, and market analysis.

GitHub

Sorting Algorithm Visualizer

June 2026 • C++, SFML

A C++ sorting algorithm demonstration visualized with array bar charts. Allows the user to select from a provided set of demo sorting algorithms with the ability to easily implement new ones. Actively being worked on.

GitHub

Low Latency Execution Simulator

April 2026 • C++, Git

A trade execution simulator with a price-time priority matching engine, achieves 736k orders per second single threaded, with multithread implementation also available for testing.

GitHub

WSJ Data Aggregate

January 2026 • Python, Beautiful Soup

Parses Wall Street Journal RSS feeds for news article headlines and descriptions using Beautiful Soup, creating a regularly updated dataset accessible through the terminal, web, or Discord.

Try it GitHub

Stevens SHIFT

December 2025 - Present • Python, C++, Doxygen

Researcher working on Stevens Institute of Technology's High Frequency Trading Sim. Responsible for onboarding, creating simulated markets using Reinforcement Learning, and most recently leading the migration to Nasdaq ITCH/OUCH protocols.

Information Competition

About Me

First year Quantitative Finance student at Stevens Institute of Technology with a concentration in Computer Science. I'm interested in machine learning, low level programming, and how both can be applied to understanding and building systems in financial markets.

Skills

Languages: Python, C/C++, R, HTML/CSS, Assembly

Libraries: Beautiful Soup, Matplotlib, NumPy, Pandas, YFinance, PyTorch

Tools: Bloomberg Terminal, AWS, Git, Linux, Vim, Tmux, SSH

Interests: Competitive Programming, Language Learning, Muay Thai, Calisthenics