We are an independent research group focused on the structural dynamics of modern financial markets. Our work combines quantitative modeling with a robust, proprietary simulation framework to analyze market phenomena that are often inaccessible through purely theoretical methods.
Our approach is intentionally multi-disciplinary, integrating concepts from:
- Market Microstructure Theory: Building upon and extending foundational models (e.g., Treynor, Glosten-Milgrom) to better reflect contemporary market conditions.
- Econometrics & Statistics: Applying rigorous statistical analysis to high-frequency data.
- Systems Engineering: Understanding the impact of latency, data flow, and exchange architecture.
- Regulatory & Legal Frameworks: Analyzing how market rules and enforcement actions shape participant behavior.
All hypotheses are validated against a proprietary simulation environment built to replay historical ITCH data. During the buildout of our primary Kafka pipeline, we supplement our analysis with custom data acquisition tools.
Our research is centered on several key areas within market microstructure::
- The mechanics of dealer markets and hot-potato trading dynamics.
- Modeling and detection of illegal spoofing and layering strategies.
- The formation and behavior of liquidity queues in limit order books.
- Analysis of foundational models and their connection with current advanced markets.
Our team's composition includes members with deep domain experience in proprietary trading, low-latency systems development, and quantitative research. This structure allows us to approach problems from both a practitioner's and a researcher's perspective.
For more details, please contact:
spcmer@gmail.com or
p737917355@gmail.com
