Quantitative factor discovery
Use computational tools and AI-assisted exploration to generate, refine, and investigate potential market signals.
AI-Assisted Quantitative Research
Research smarter.
Trade systematically.
ARRC explores quantitative factors and develops systematic trading strategies with the support of AI, bringing a research-driven approach to high-frequency markets.
Our research processSystematic
01
Factor discoveryExplore data and identify potential signals using AI-assisted research.
02
Strategy developmentTranslate hypotheses into testable systematic trading strategies.
03
High-frequency executionApply an engineering-minded approach to fast-moving markets.
Illustrative workflow · Not live trading data
Our focus
01 / What we do
From ideas to
systematic strategies.
Our work connects AI-assisted discovery, rigorous quantitative thinking, and trading technology.
Systematic strategy design
Develop rules-based strategies, test hypotheses, and evaluate ideas through a repeatable research process.
High-frequency trading
Focus on speed-sensitive markets where data, disciplined execution, and software engineering come together.
02 / Our approach
AI for exploration.
Research for conviction.
We view AI as a tool to expand the research process—not as a substitute for careful validation and systematic execution.
- 01
Explore
Use AI-assisted research to surface ideas, factors, and market hypotheses.
- 02
Evaluate
Examine robustness, assumptions, and the behavior of candidate strategies.
- 03
Engineer
Turn selected research ideas into systematic, testable trading logic.
- 04
Execute
Bring trading models and execution technology together in high-frequency settings.
03 / Contact
Let’s start a conversation.
For research discussions, potential collaborations, or general inquiries, we'd be glad to hear from you.
edison@arrc.dev