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Herausgeber: 
  • Alice Schwartz
    Autor(en): 
  • Vincent Bisette
  • James Preston
  • Algorithmic FX & Currency Trading with Python: Systematic Strategy Design, Execution, and Risk Modeling for the Forex Market 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Januar 2026  
    Genre:  EDV / Informatik 
     
    BUSINESS & ECONOMICS / Foreign Exchange / COMPUTERS / Programming Languages / Python
    ISBN:  9798243754941 
    EAN-Code: 
    9798243754941 
    Verlag:  Independently Published 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 30 mm 
    Gewicht:  576 gr 
    Seiten:  480 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Reactive Publishing

    This book is a practitioner's guide to designing, building, and scaling algorithmic trading systems for the currency market. It bridges quantitative modeling, market microstructure, and Python-driven automation into a cohesive framework for traders seeking systematic edge in global FX.

    Beginning with the economic and structural foundations of the foreign exchange market, the book moves into predictive modeling, volatility dynamics, regime detection, and multi-timeframe signal engineering. Readers learn how to convert research into executable trading strategies by integrating data pipelines, backtesting engines, execution models, and risk management architectures built specifically for FX.

    The technical focus spans statistical, machine-learning, and hybrid approaches, covering trend, carry, mean reversion, calendar, macro-driven, and volatility-based strategies. Special emphasis is placed on execution layer challenges including slippage, spreads, order book liquidity, and broker microstructure, details routinely overlooked in retail FX trading.

    Topics include:
    - Market microstructure and currency-specific behavior
    - Regime classification and volatility modeling
    - Statistical forecasting and signal engineering for FX
    - Machine learning models and feature sets for currency prediction
    - Carry, momentum, macro, and hybrid systematic strategies
    - Multi-asset portfolio construction and cross-currency hedging
    - High-confidence backtesting, walk-forward validation, and error diagnostics
    - Transaction costs, spreads, slippage, and execution optimization
    - Deployment pipelines, automation, and API execution with Python
    - FX risk modeling, drawdown control, and position sizing frameworks

    Designed for quantitative traders, hedge fund practitioners, and advanced retail traders alike, Algorithmic FX & Currency Trading with Python delivers a practical blueprint for converting data and code into real trading performance. It gives readers not only the theoretical and quantitative tools required for success, but also the engineering and execution mindset needed to operate systematically in one of the most liquid and competitive markets in the world.

      



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