Burrate Quant Research
We build LLM-driven trading systems that transform both market data and language into actionable signals.
Our approach combines quantitative rigor with AI-driven interpretation to uncover opportunities traditional models miss.
Rethinking Quantitative Trading
Burrate Quant Research is a research-driven firm focused on applying large language models to financial markets.
We study how AI can enhance signal generation, interpret complex market narratives, and improve systematic strategy design across asset classes.
Our goal is not just automation—but building adaptive systems that evolve with markets.
Signal Generation
Extracting alpha from both structured market data and unstructured information using LLM-driven models.
Market Interpretation
Translating news, sentiment, and narratives into quantitative signals with scalable AI systems.
Strategy Design
Building systematic trading frameworks that integrate machine learning with financial theory.
Data Infrastructure
Designing pipelines that unify market data, text data, and model outputs for real-time decision making.
Execution Intelligence
Enhancing trade execution through data-driven insights and adaptive decision systems.
Research & Backtesting
Rigorous testing and validation of strategies across multiple market environments.
Research & Insights
We develop and share insights at the intersection of quantitative finance and artificial intelligence, focusing on how LLMs reshape signal discovery and trading strategies.
Burrate Research Platform
- Analyze market data alongside real-time textual signals
- Build and test LLM-driven trading strategies
- Explore cross-asset insights through unified data pipelines
Burrate Research Notes
- Insights on LLM-driven trading and market structure
- Research on signal generation and alpha discovery
- Perspectives on AI and systematic investing
“We don’t just analyze markets—we interpret them.”
info@burratequant.com