Model Repository 2026

Systematic Alpha Generation.

At Taipei Quant Research, our trading models are built on the intersection of statistical rigor and market microstructure. We categorize our research into distinct algorithmic families, each designed to capture specific inefficiencies within the global financial landscape.

Taipei Quant Research Lab environment

Strategy Taxonomy

Our quant research team divides focus between short-term liquidity capture and medium-term structural shifts. By maintaining a diverse portfolio of logic-bases, we ensure resilience during regime changes.

  • Type 01 Statistical Arbitrage
  • Type 02 Trend & Momentum
  • Type 03 Alternative Alpha
Quantitative hardware infrastructure

Mean Reversion & Stat-Arb

This family of trading models focuses on identifying temporary pricing dislocations between correlated assets. By utilizing cointegration analysis and high-frequency data ingestion, the model enters positions when the spread exceeds three standard deviations from the historical mean.

Primary Markets

Equities, Fixed Income Futures

Average Duration

4 Minutes to 6 Hours

Algorithmic strategy architecture

Adaptive Trend Capture

Our momentum models discard static moving averages in favor of machine-learning-driven volatility filters. These strategies are designed to participate in significant directional moves while aggressively minimizing drawdown during sideways market regimes.

Primary Markets

FX Spot, Commodity Futures

Average Duration

3 to 15 Trading Days

Built for Taiwan's Unique Market Latency

Our execution engine is localized in Taipei 23, providing sub-millisecond connectivity to regional exchanges. This proximity allows us to execute trading models that rely on paper-thin margins and rapid order-book updates.

FPGA-Accelerated Logic

Critical path analysis performed on hardware for zero-jitter execution.

Curated Signal Streams

Integration of proprietary sentiment and liquidity data points.

Regional exchange connectivity

Operational Safeguards

01

Model Verification

Every model undergoes a 12-month backtesting phase across multiple market cycles, including stress-tests for extreme volatility and liquidity crunches.

02

Risk Orchestration

Dynamic position sizing is calculated in milliseconds. Our quant research protocols ensure no single asset exceeds the allocated risk-at-value (VaR) parameters.

03

Automated De-risking

In the event of anomalous data input or execution failures, our models feature a "Circuit Break" logic that neutralizes all active positions within seconds.

Refine Your Strategy Approach

Our team provides tailored quantitative research for institutional partners. If you require a custom trading model or want to discuss specific regional alpha opportunities in Taipei, let’s schedule a consultation.

Office Hours

Mon-Fri: 09:00-18:00

Direct Line

+886 2 4000 0323