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PulseQ is a fully autonomous, multi-strategy algorithmic trading firm engineered for scale, safety, and adaptability across market regimes. Built by experienced quants, traders, and system architects, our system integrates a proprietary quant stack—spanning research, strategy generation, backtesting, portfolio orchestration, and precision execution. Every layer is built entirely in-house and continuously improved with AI, ensuring full control, visibility, and rapid iteration. We believe adaptive systems outperform static ones. By running a diverse set of low-correlation strategies in parallel, we reduce risk, smooth the equity curve, and avoid reliance on any single edge. Our live trading engine uses machine learning to dynamically rotate capital toward models that best align with the current market regime, while sidelining those that degrade or lose relevance. Robustness is our foundation. Every strategy must pass rigorous simulation, stress testing, and live validation before it is allocated capital. With over 100 active strategies, thousands of trades executed, and a strong track record supported by institutional-grade risk management, PulseQ brings structure and scalability to modern systematic trading. We collaborate with forward-thinking allocators and technologists who share our commitment to precision, resilience, and long-term edge.

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Elihay Zedek is the Co-Founder and CTO of PulseQ.

3 people are employed at PulseQ.

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