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  • Market Bulletin – 06/10/2026

    Systemic Liquidity Cascades and Algorithmic Alpha: A Macro-Quantitative Synthesis The current market regime is characterized by an escalating divergence between geopolitical supply-side shocks—specifically the volatility in the Strait of Hormuz affecting Brent crude—and the relentless expansion of AI-driven capital allocation models. For the quantitative practitioner, this creates a distinct liquidity profile: the “Brent at $100”…

  • Market Bulletin – 01/10/2026

    Algorithmic Alpha and Market Microstructure: The Q4 Transition As we navigate the transition into Q4 2026, the convergence of quantitative model performance—notably the 34% yield demonstrated by AI-driven asset selection in BBVA and the broader outperformance of ProPicks AI strategies—highlights a critical shift in institutional execution. For the quantitative trader, this signals a transition from…

  • Market Bulletin – 30/09/2026

    Market Microstructure and Alpha Decomposition: The AI-Infrastructure Feedback Loop The current market trajectory, evidenced by the Q4 performance of Micron (MU) and the strategic pivot toward energy-intensive AI infrastructure—most notably the 20-year nuclear power agreement between Constellation Energy (CEG) and Amazon—signals a transition from speculative AI growth to fundamental infrastructure integration. For the quantitative practitioner,…

  • Market Bulletin – 29/09/2026

    Quantitative Microstructure Analysis: Assessing Liquidity Asymmetry and Alpha Decay in AI-Driven Tech Portfolios The current market regime, characterized by aggressive share buyback programs—most notably in NVIDIA (NVDA)—and the strategic capital deployment by AMD into emergent AI entities, necessitates a structural re-evaluation of liquidity flow. As systematic models increasingly dominate retail-centric inflows, the gap between high-frequency…

  • Market Bulletin – 28/09/2026

    Systemic Risk and Liquidity Dynamics: The AI-Driven Structural Alpha The current market architecture is defined by a dichotomy between high-beta AI-sector expansion and rising geopolitical fragility. As we approach Micron’s (MU) earnings print, the microstructure reveals a significant accumulation of gamma around key strike prices. From an algorithmic perspective, the $8.2 billion AMD capital injection…

  • Boletín de Mercado – 28/09/2026

    Systemic Risk and Liquidity Dynamics: The AI-Driven Structural Alpha The current market architecture is defined by a dichotomy between high-beta AI-sector expansion and rising geopolitical fragility. As we approach Micron’s (MU) earnings print, the microstructure reveals a significant accumulation of gamma around key strike prices. From an algorithmic perspective, the $8.2 billion AMD capital injection…

  • Boletín de Mercado – 28/09/2026

    Arquitectura de Flujos: Sinergias Tecnológicas y Fragmentación del Risk-Off La convergencia de la inversión en Inteligencia Artificial y la inestabilidad geopolítica en el Estrecho de Ormuz configura un escenario de doble régimen de volatilidad. Para los desarrolladores de algoritmos, esto exige una transición de modelos estáticos de reversión a la media hacia arquitecturas de regime-switching…

  • Non-Linear Market Impact Modeling: Adapting Kyle Lambda and Amihud Illiquidity Ratios for Block Trades

    This research evaluates linear market impact limitations during institutional block trades, introducing non-linear adjustments to Kyle’s Lambda and Amihud illiquidity ratios.

  • L2/L3 Feed Latency Arbitrage: Quantifying Information Asymmetry and Queue Position Decay

    This research examines how data feed latency in L2/L3 market architectures triggers queue position decay, information asymmetry, and HFT latency arbitrage vulnerabilities.

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