QPG

AiQuant Research

Proprietary, Self-Funded

AiQuant Research is QPG’s proprietary research effort focused on developing and validating systematic investment strategies through a disciplined, self-funded process.

What It Is

This workstream represents QPG’s long-term research and capital development layer. Current efforts are centered on structured hypothesis formation, testing, and refinement rather than external capital management.

The objective is to build a research process that is evidence-based, repeatable, and resilient over time, with particular interest in information-driven and domain-intensive markets.

Current Focus

  • Market hypothesis development and evaluation
  • Backtesting and signal validation
  • Healthcare and biotechnology market research
  • Application of machine learning to market and scientific data
  • Risk management and staged capital testing

Current Stage

Research Phase (Self-Funded)

Role Inside QPG

AiQuant Research serves as QPG’s long-term research engine, supported by operating cash flow and developed through a staged, evidence-based process.

Over time, this work is intended to compound into a more mature capital allocation framework built on validated research, disciplined execution, and practical operating experience.

QPG does not manage third-party capital or provide regulated investment advisory services. Any trading activity referenced is conducted solely with the founder's personal capital.