Rothenberg Wealth Strategies

Rothenberg Wealth Strategies conducts applied research at the intersection of machine learning, market microstructure, and systematic trading. Our work centers on identifying persistent structure in financial data and developing adaptive strategies that are reasoned, testable, and robust. We build internal tools and infrastructure for large-scale experimentation, including data pipelines, modeling environments, and backtesting systems. Research areas include time series representation learning, factor modeling, signal extraction, and strategy evaluation across market regimes. The firm currently manages proprietary capital and is focused on advancing research quality, implementation reliability, and operational discipline. Future expansion to external capital may be considered once systems demonstrate stable performance and repeatability.