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Autor(en): 
  • Victor Trex
  • The Algorithmic Trading Machine: Architecture, Engineering, and Automation 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Dezember 2025  
    Genre:  Wirtschaft / Recht 
     
    algorithmic trading / Quantitative Finance / trading system architecture
    ISBN:  9798896652427 
    EAN-Code: 
    9798896652427 
    Verlag:  NobleTrex Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 19 mm 
    Gewicht:  508 gr 
    Seiten:  350 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    "The Algorithmic Trading Machine: Architecture, Engineering, and Automation" The Algorithmic Trading Machine is a practical blueprint for engineers, quants, and technically minded traders who want to build institutional-grade trading systems rather than toy backtests. Instead of treating trading as a black box of "alpha," this book walks you through the machinery itself: how data flows, how decisions are computed, and how orders traverse the market. It is written for readers who care as much about latency, robustness, and deployment as they do about Sharpe ratios. Across seven tightly integrated parts, the book connects market microstructure, statistical modeling, and software architecture into a coherent end-to-end design. You will learn how to engineer clean market data pipelines; construct and validate signals with modern statistical and machine learning methods; design event-driven backtesters; and translate research into production via services, APIs, and automated CI/CD. The text then advances to portfolio optimization, cost-aware execution, low-latency infrastructure, and the governance, observability, and operational workflows that keep real capital safe. A working knowledge of Python, basic probability, and linear algebra is assumed, but each chapter is self-contained and oriented toward implementable patterns rather than theory alone. Emphasis is placed on reproducibility, automation, and realistic constraints, making the book equally suitable for prop desks, fintech startups, and independent technologists determined to build a serious algorithmic trading machi

      



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