Low Latency
Trading Systems
Built for India.
We design and build sub-millisecond trading infrastructure for Indian markets — C++ execution engines, Rust order management systems, NSE co-location setups, and HFT strategy development. The same technology stack used by prop desks and quant funds, now available to you.
What We Build
Every component of your low-latency stack, designed from first principles for Indian market microstructure.
C++ Execution Engines
Ultra-fast order routing in C++ with custom memory allocators, lock-free queues, and kernel bypass (DPDK/RDMA) for sub-100μs execution.
Rust Order Management
Memory-safe, high-performance OMS in Rust. No GC pauses, deterministic latency, and fearless concurrency for multi-strategy execution.
Market Data Infrastructure
High-throughput market data handlers for NSE/BSE tick feeds. Custom parsers for multicast market data with nanosecond timestamping.
NSE/BSE Co-location Setup
Server configuration, network tuning, CPU affinity, NUMA optimization, and integration with exchange co-location services for minimal round-trip latency.
Why Latency Matters in Indian Markets
NSE's co-location facility allows servers to be physically placed within the exchange premises — reducing round-trip order latency from 50–200ms (retail) to sub-1ms (co-lo). For certain strategy types, this is the difference between fill and no fill.
Even for non-HFT strategies, a slow execution engine costs money. Every millisecond of slippage on a ₹10L intraday Nifty position can mean ₹500–₹2,000 in adverse fills per trade. At 10 trades per day, that's ₹50,000/month in preventable losses.
Who This Is For
Proprietary Trading Desks
Scale to dozens of strategies running simultaneously with microsecond co-ordination. Full risk management, kill switches, and P&L aggregation.
Statistical Arbitrage Traders
Cross-exchange and cross-instrument arbitrage requires deterministic, low-latency execution. We build the infrastructure that makes it feasible.
Market Makers
Continuous two-sided quoting demands the fastest possible quote updates. C++ market-making engines with custom spread and inventory logic.
Frequently Asked Questions
Do I need co-location for low latency trading?
Not necessarily. Co-location gives the lowest possible latency but a well-optimised C++ engine on a good VPS can achieve 5–15ms — sufficient for most non-HFT strategies. We assess your actual latency requirements before recommending infrastructure.
What is the minimum viable setup for a prop desk?
A dedicated Linux VPS with a C++ or Python execution engine, proper broker API integration, risk management, and monitoring. For co-lo strategies, additionally a rack space application with NSE/BSE and a FIX engine. We scope this precisely based on your strategy.
Do you build from scratch or use existing frameworks?
We build from scratch for all latency-critical components to avoid hidden overhead from third-party libraries. For non-latency-critical parts (reporting, monitoring), we use proven open-source tools.
Can you audit my existing trading system for latency?
Yes. We perform latency profiling, hotspot analysis, and provide a detailed optimisation report with specific code changes that will reduce your end-to-end execution time.
Build Your Low-Latency Edge
Share your latency requirements and strategy type. We'll scope the right architecture and give you a quote.
Discuss Your Infrastructure