AI-assisted systematic trading research

Researching adaptive market systems for disciplined decision-making.

Pétanque Partners develops AI-centered quantitative research infrastructure, ML-based forecasting models, and risk frameworks for liquid markets, with a focus on price, volatility behavior, and systematic strategies.

Approach

Built at the intersection of machine learning, markets, and risk discipline.

Our work combines statistical research, machine-learning experimentation, and practical trading constraints. We focus less on discretionary prediction and more on repeatable systems that can be tested, monitored, and improved over time.

01

Adaptive Research

Forecasting frameworks designed to identify evolving relationships across market data, volatility, and price behavior.

02

Systematic Process

A rules-driven workflow for translating research into monitored model outputs, scenario analysis, and actionable trading logic.

03

Risk First

Risk management is treated as core infrastructure: sizing, drawdown control, regime awareness, and operational documentation.

Focus Areas

What we study

Selected areas of research and infrastructure development.

Stocks, bonds, ETFs, alternative assets, currencies, and derivatives
Volatility forecasting and regime detection
Long/short strategy design and implementation
Machine learning forecasting experiments
Monte Carlo and stress-testing workflows
Model monitoring and risk documentation

Contact

For research, partnerships, or general inquiries.

Pétanque Partners is available for conversations with institutional investors, research partners, and market-technology collaborators.

contact@petanquep.com

New York, NY, USA

This website is for informational purposes only and does not constitute investment advice, an offer to buy or sell securities, or a solicitation of any transaction, of any kind.