Form the thesis
Define a question using company fundamentals, scientific literature, sector dynamics, macroeconomic conditions, geopolitics, or observed market behavior.
AiQuant Research
Investment Approach
QPG is developing a proprietary quantamental research process combining fundamental, scientific, macroeconomic, and geopolitical analysis with systematic quantitative testing.
The present priority is building a repeatable research process and its supporting infrastructure—not deploying capital at scale.
Research process
From a documented thesis to controlled testing.
Document the reasoning
Make the evidence, assumptions, limitations, and conditions behind the thesis explicit.
Test what can be tested
Translate selected questions into structured data, reproducible analysis, backtests, simulations, or paper trading.
Allocate proportionally
Commit internal capital only when exposure is appropriate to the maturity, evidence, and limitations of the research.
Risk discipline
Evidence and exposure should mature together.
Validation before commitment
Distinguish repeatable evidence from isolated outcomes, fragile assumptions, and overfitted conclusions.
Risk before scale
New capabilities earn additional resources through testing, usefulness, and demonstrated process maturity.
Preserve flexibility
Avoid unnecessary leverage, premature scale, and irreversible commitments while the process is developing.
Decision quality
Use organized records, explicit assumptions, relevant data, and documented reasoning to improve consistency.
Domain focus
Knowledge where it matters.
Particular attention is given to healthcare and biotechnology, where scientific domain knowledge can contribute to investment analysis, alongside selected company, sector, macroeconomic, and geopolitical questions.
Technology
Tools in service of research.
Software, automation, data analysis, and machine learning may strengthen appropriate parts of the process, but they do not replace fundamental reasoning or domain expertise.