Orthogonal Labs develops algorithmic trading strategies using advanced mathematics, machine learning, and quantitative research to generate consistent alpha across global markets.
We combine deep theoretical research with engineering excellence to create robust trading systems.
Our research team publishes novel insights in market microstructure, developing mathematical models that capture inefficiencies others miss.
Custom neural architectures and ensemble methods trained on decades of market data to identify non-linear patterns and relationships.
Multi-layered risk framework combining portfolio optimization, dynamic hedging, and real-time monitoring to preserve capital.
Proprietary trading stack built on FPGA-accelerated hardware and optimized software for ultra-low latency execution.
Ingest and analyze thousands of alternative data sources—from satellite imagery to sentiment—to gain predictive edge.
Culture of relentless experimentation and improvement, treating every strategy as a hypothesis to be tested and refined.
Our research platform empowers quants to rapidly develop, backtest, and deploy trading strategies. Built with reproducibility and scalability at its core.
Every strategy undergoes rigorous validation including walk-forward analysis, stress testing, and live paper trading before real deployment.
We bring together the best minds in quantitative finance, computer science, and mathematics.