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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Print on Demand. Codice articolo I-9798243754941
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798243754941
Quantità: Più di 20 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Reactive PublishingThis 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 frameworksDesigned 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798243754941
Quantità: 1 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798243754941
Quantità: Più di 20 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Reactive PublishingThis 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 frameworksDesigned 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798243754941
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware. Codice articolo 9798243754941
Quantità: 2 disponibili