AI Agent Factor Mining
Autonomous AI agents continuously explore and validate millions of alpha factors. Self-evolving strategies with reinforcement learning and genetic algorithms for systematic signal discovery.
AI infrastructure for quantitative trading.
Autonomous AI agents continuously explore and validate millions of alpha factors. Self-evolving strategies with reinforcement learning and genetic algorithms for systematic signal discovery.
Unified processing of market microstructure, alternative data, news sentiment, satellite imagery, and social signals. Real-time fusion of structured and unstructured data streams into actionable intelligence.
Distributed GPU cluster processing PB-scale high-frequency tick data. Sub-millisecond latency with custom FPGA acceleration. Backtesting 10+ years of L3 order book data in minutes.
Foundation models trained on decades of global market data. Transfer learning across asset classes and market regimes. Billion-parameter architectures capturing complex market dynamics and cross-asset correlations.
Portfolio optimization across millions of instruments with complex constraints. Real-time risk management with convex and non-convex solvers. Dynamic rebalancing with transaction cost optimization and market impact modeling.
State-of-the-art transformer architectures for sequence modeling. Attention mechanisms capturing long-range market dependencies. End-to-end differentiable trading systems with neural network-based execution.
Backed by leading investors and institutions.