Technology

Built From the Ground Up

InfiQuant builds proprietary trading infrastructure — custom data pipelines, real-time market data capture, algorithmic execution engines, and machine learning research platforms. Every component is purpose-built for Indian derivatives markets.

Infrastructure

Market Data Infrastructure

Real-time tick data capture and storage across multiple instruments and exchanges. Historical data management for backtesting and research. Stream processing with sub-millisecond enrichment.

Execution Engine

Automated order management with exchange connectivity across the NSE/BSE ecosystem. Low-latency execution with multi-layer WebSocket reconnection and position tracking.

Research Platform

Statistical analysis and machine learning pipelines for signal detection. Walk-forward optimization and out-of-sample validation frameworks. Reproducible research environments.

Risk Management

Real-time position monitoring with automated stop-loss and exposure management. Drawdown controls at instrument, strategy, and portfolio levels. No manual overrides during market hours.

Stack

LanguagesPython, JavaScript
InfrastructureCloud-hosted (AWS), containerized workloads
DataReal-time streaming pipelines, time-series databases
ML/AIReinforcement learning, statistical signal processing

Research Philosophy

Our research is grounded in data-driven hypothesis testing. Every signal begins as a statistical observation, is tested rigorously with proper out-of-sample validation, and must pass strict risk-adjusted criteria before deployment.

We focus on structural market phenomena — volatility clustering, compression regimes, and microstructure patterns — rather than pattern matching or technical indicators.