High-Performance
Trading Architecture
At TigerQuantLabs, we build trading systems that bridge the gap between abstract mathematical research and sub-millisecond market execution. Our infrastructure is engineered for the rigors of institutional liquidity.
Low-Latency Execution Infrastructure
Our quant labs specialize in the development of proprietary execution engines designed to minimize slippage and maximize fill rates across various market conditions. We do not rely on off-the-shelf software; every component of our stack is optimized for the specific asset classes we trade.
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C++ Core Engines
Sub-microsecond internal latency for signal processing and order routing.
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Direct Market Access (DMA)
Proximity hosting in key financial hubs to ensure minimal transport time.
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Pre-Trade Risk Controls
Hard-coded safety limits that operate independently of the trading logic.
Quant Labs Development Verticals
We categorize our trading systems based on time-horizon, liquidity profile, and statistical edge. Each vertical operates on a unified data backbone.
Statistical Arbitrage (StatArb)
Leveraging mean-reverting properties of correlated assets. Our systems analyze thousands of instrument pairs simultaneously, identifying temporary dislocations that deviate from long-term cointegration.
Trend-Following Alpha
Non-discretionary models that capture macro-economic shifts and momentum. These systems utilize multi-factor filters to distinguish between structural trends and noise-driven volatility.
Liquidity Provision Engines
Proprietary market-making frameworks that manage inventory risk while providing depth to electronic order books. Optimized for low-latency environments and high-frequency updates.
Event-Driven Quantitative
Automating the analysis of structured and unstructured data releases. Our systems react to economic indicators and corporate actions within milliseconds of public dissemination.
The Foundation of High-Frequency Trading
A trading system is only as robust as the data it consumes. TigerQuantLabs maintains a massive, cleaned historical data silo spanning 15+ years of tick-by-tick market activity across global exchanges.
Backtest Fidelity
Our simulator accounts for exchange fees, latency jitter, and market impact, eliminating survival bias and look-ahead artifacts.
Real-Time Normalization
Heterogeneous data streams from multiple providers are normalized into a single internal format for immediate cross-asset analysis.
Redundant Feed Ingestion
Multiple direct exchange feeds ensure zero downtime and serve as a cross-check for data accuracy during peak volatility.
Protocol & Stability
Operational risk management is woven into the very fabric of our system development life cycle (SDLC). We operate under the principle of "Fail-Safe Logic," where any anomaly in market data or system performance triggers an immediate, graceful cessation of trading.
Hardware Isolation
Critical risk servers are physically isolated from the primary strategy execution hardware to prevent cascading failures.
Adaptive Limits
Exposure thresholds automatically contract during high VIX environments, preserving capital during tail events.
Systems updated last: March 2026.
Compliant with institutional reporting standards.
Integration Ready
Whether you require bespoke strategy development or access to our existing quantitative trading infrastructure, our team in Shanghai is ready to assist.