PulseQ - Systematic Trading

Fully In-House Quant System.
_{Engineered to run multi-strategy portfolios safely, at scale, and with real-time adaptability across market regimes.}

Built since 2019 and stress-tested across diverse market conditions, PulseQ runs 100+ low‑correlation models in parallel, using live regime‑aware — fully proprietary, always adaptive.

PHILOSOPHy

Diversification is our Foundation

At PulseQ, we operate under the belief that no single strategy works in all conditions. Market regimes shift, and systems must adapt accordingly.
‍
We run a wide set of uncorrelated strategies across timeframes and asset classes. Each strategy is developed in-house, backtested, stress-tested, and validated live before deployment.
‍
Rather than relying on static allocations, we use machine learning to monitor performance, correlations, and volatility—dynamically adjusting capital toward the models best suited for current conditions.
‍
Our approach emphasizes robustness over optimization. Strategies that lose edge are removed, new ones are added, and portfolio risk is continuously monitored and managed at both the model and portfolio levels.
‍
This framework allows us to stay consistent and risk-aware, without overexposure to any single signal or regime.

System Pillars

Quant Infrastructure

Data Analysis

Robust Testing

System Components for Dynamic Markets

CORE

Strategy
Factory

Generate, evaluate, and evolve a wide range of strategy candidates using a combination of rule-based logic, data-driven research, and AI-enhanced modeling.

Robust Backtesting

Run strategies through our proprietary backtesting engine using historical regimes to validate edge, tune parameters, and identify structural risks—emphasizing robustness over curve-fitting.

Portfolio Management

Dynamically allocate capital across live models based on real-time performance, correlation, and volatility. Promote strategies aligned with current conditions, while sidelining those that degrade.

Risk Management

Enforce strict portfolio- and strategy-level risk controls, and real-time monitoring. Every model is governed by system-wide safeguards to ensure stability across all market conditions.