Systematic python trading systems di preston james (7 risultati)

Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingCrypto Quant Strategies teaches you how to design, backtest, and implement automated trading strategies specifically for Bitcoin, Ethereum, DeFi protocols, and other digital assets. You'll move beyond simple indicators and learn how to construct robust quantitative systems that can operate with discipline in 24/7 markets.What You'll Learn: - Core principles of quantitative trading applied to crypto markets- How to collect, clean, and analyze cryptocurrency market data- Building backtesting engines tailored for crypto-specific challenges (funding rates, slippage, 24/7 trading)- Developing systematic strategies including momentum, mean reversion, arbitrage, and DeFi yield opportunities- Risk management techniques designed for high-volatility digital assets- Python implementation using libraries such as pandas, NumPy, TA-Lib, CCXT, and backtrader- Strategy optimization, walk-forward analysis, and avoiding common overfitting pitfalls- Deployment considerations for live trading systemsWritten for traders, developers, and analysts with basic Python knowledge, this book bridges the gap between traditional quant methods and the unique characteristics of cryptocurrency markets. Each chapter includes working code examples and practical implementation guidance.Whether you're looking to professionalize your crypto trading or develop algorithmic systems for Bitcoin, Ethereum, and decentralized finance, Crypto Quant Strategies offers a clear, technical pathway to building trading systems based on data and logic rather than emotion.Perfect for: - Python developers interested in finance- Experienced traders moving into systematic crypto strategies- Quantitative analysts exploring digital asset marketsThis book is for educational and informational purposes only. Trading cryptocurrencies involves substantial risk of loss.…

Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingThe volatility surface is broken. Rough volatility explains why.This book delivers the most accessible, practical, and comprehensive guide to rough volatility, fractional Brownian motion (fBM), and Hurst-driven modeling ever written for quantitative traders and financial engineers.If you have struggled to understand why standard stochastic volatility models fail, or why modern markets behave with 'memory' and microstructure-induced roughness, this book gives you the complete framework, intuition, and Python workflows to build the next generation of volatility models and trading systems.What This Book Teaches You- The core intuition behind rough volatilityWhy volatility is not smooth, why it cannot be modeled with classical Brownian motion, and how fractional processes capture long-memory behavior in real markets.- Fractional Brownian motion (fBM) from zero to masteryStep-by-step construction, parameterization, simulation, and calibration. Learn Hurst exponents the right way - intuitively first, then rigorously.- Full rough volatility model implementations in PythonIncluding: - The Rough Bergomi Model- Fractional Stochastic Volatility (fSV)- Multi-factor fractional models- Hybrid neural/fractional architecturesAll presented with clean, reusable code templates.- How rough volatility transforms tradingUse fractional features to detect volatility clustering, regime shifts, option mispricings, and structural breaks that traditional models miss.- Complete volatility trading systemsConcrete, plug-and-play strategies built from fractional features: - Hurst-driven volatility filters- fBM momentum/anti-momentum signals- Rough volatility mean-reversion engines- Volatility-of-volatility predictorsIncludes full Python implementations.Why Rough Volatility MattersClassical models assume volatility is smooth, Markovian, and memoryless. Modern markets are the opposite. They are rough, self-similar, and exhibit long-range dependence - and this book shows how to model that structure directly.Rough volatility is not an academic curiosity. It is the new foundation of volatility modeling at banks, hedge funds, and derivatives desks worldwide.Who This Book Is ForQuant traders, systematic volatility researchers, derivatives professionals, financial engineers, and advanced Python quants who want to push beyond Black-Scholes-era assumptions and into the future of stochastic modeling.If you want to understand how volatility really behaves, and build trading systems that exploit it, this is the most practical, complete, and modern guide available.…

Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingBuild robust, production-grade automated trading infrastructure from the ground up using Python.Systematic Python Trading Systems provides a comprehensive, engineering-focused blueprint for designing, testing, and deploying automated trading strategies. Moving beyond simple scripts and isolated backtests, this book focuses on building clean, modular architecture capable of handling the entire systematic life cycle, from high-throughput market data processing to real-time order execution and dynamic risk management.Designed for quantitative developers, systematic traders, and software engineers, this guide delivers clear, actionable implementations without relying on black-box frameworks. You will learn how to write efficient, vectorized code, construct realistic simulation engines, and implement robust risk controls that protect capital in live market environments.What You Will Learn: - System Architecture: Design modular, maintainable Python frameworks for signal generation, portfolio allocation, and order routing.- Vectorized Backtesting: Build high-performance backtesting engines using NumPy and pandas, accounting for slippage, commission models, and execution delays.- Data Pipelines: Ingest, clean, and structure time-series market data for accurate historical analysis and real-time processing.- Execution Controls: Connect to broker APIs, manage live order state, and implement dynamic position-sizing algorithms.- Risk Management: Integrate automated stop-loss mechanisms, drawdown monitors, and system-level kill switches to prevent catastrophic failures.- Performance Optimization: Identify and eliminate bottlenecks in signal computation and data handling to ensure low-latency execution.Equip yourself with the tools and architectural clarity needed to transition your trading ideas from research to execution with confidence.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

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.