Quantitative Finance: Advanced Analysis with Python

Quantitative Finance: Advanced Analysis with Python

Quantitative Finance: Advanced Analysis with Python
Автор: Van Der Post Hayden
Дата выхода: 2024
Издательство: Reactive Publishing
Количество страниц: 685
Размер файла: 1.4 MB
Тип файла: PDF
Добавил: codelibs
 Проверить на вирусы

Title Page....2

Dedication....3

Contents....4

Chapter 1: Introduction to Algorithmic Trading....7

1.1 Definition of Algorithmic Trading....10

1.2 Key Benefits of Algorithmic Trading....20

1.3 Fundamentals of Algorithm Design....31

1.4 Regulatory and Ethical Considerations....42

Chapter 2: Understanding Financial Markets....52

2.1 Market Structure and Microstructure....55

2.2 Asset Classes and Instruments....70

2.3 Fundamental and Technical Analysis....84

2.4 Trading Economics....100

Chapter 3: Python for Finance....118

3.1 Basics of Python Programming....122

3.2 Data Handling and Manipulation....141

3.3 API Integration for Market Data....156

3.4 Performance and Scalability....171

Chapter 4: Quantitative Analysis and Modeling....189

4.1 Statistical Foundations....193

4.2 Portfolio Theory....207

4.3 Value at Risk (VaR)....222

4.4 Algorithm Evaluation Metrics....234

Chapter 5: Strategy Identification and Hypothesis....250

5.1 Identifying Market Opportunities....254

5.2 Strategy Hypothesis Formulation....273

5.3 Data Requirements and Sources....288

5.4 Tools for Strategy Development....306

Chapter 6: Building and Backtesting Strategies....323

6.1 Strategy Coding in Python....327

6.2 Backtesting Frameworks....345

6.3 Performance Analysis....361

6.4 Optimization Techniques....375

Chapter 7: Advanced Trading Strategies....390

7.1 Machine Learning for Predictive Modeling....394

7.2 High-Frequency Trading Algorithms....410

7.3 Sentiment Analysis Strategies....423

7.4 Multi-Asset and Cross-Asset Trading....435

Chapter 8: Real-Time Back testing and Paper Trading....452

8.1 Simulating Live Market Conditions....456

8.2 Refinement and Iteration....469

8.3 Robustness and Stability....486

8.4 Compliance and Reporting in Algorithmic Trading....502

Chapter 9: Machine Learning and AI....519

9.1 Deep Learning and Neural Networks....522

9.2 Reinforcement Learning for Trading....533

9.3 Natural Language Processing (NLP)....548

9.4 NLP Integration in Market Prediction Models....560

Chapter 10 : Blockchain and Cryptocurrency Markets....576

10.1 Fundamentals of Blockchain Technology....580

10.2 Trading Cryptocurrencies....593

10.3 Tokenization and Asset Representation....607

10.4 Decentralized Finance (DeFi)....621

Chapter 11: Quantum Computing in Finance....636

11.1 Quantum Computing Fundamentals....639

11.2 Quantum Algorithms for Optimization....652

11.3 Quantum Computing for Risk Analysis....662

11.4 Future Prospects of Quantum Computing in Trading....672

Epilogue....681

Additional Resources....683

Unlock the potential of Quantitative Finance with Python and elevate your professional trading strategies. 'Advanced Algorithmic Stock Trading with Python: Strategies for Professionals' is the comprehensive guide you've been waiting for, crafted for those who have mastered the basics and are ready to harness the most sophisticated techniques in the market.

Building on the foundations laid by its predecessor, the top-selling introductory guide to algorithmic trading with Python, this book delves deep into the realm of complex trading algorithms and provides practical examples, showing you not just the theory, but how to apply it to real-world markets.

Inside 'Quantitative Finance,' you'll discover:

  • A thorough exploration of advanced trading algorithms, including machine learning, mean reversion strategies, and complex time series analysis.
  • Step-by-step guidance on backtesting your strategies with precision and how to adapt to various market conditions.
  • Expert insights on managing risk and optimizing performance for high-frequency trading operations.
  • A deep dive into sentiment analysis, using big data and natural language processing to forecast market trends.
  • Real-world case studies that illustrate the successful application of advanced techniques, reinforcing learning and providing a clear path to implementation.

Whether you are a financial analyst, a seasoned trader, or a quantitative researcher, this book is designed to help you push the boundaries of algorithmic trading. Use it to build on your existing knowledge and to implement strategies that were once reserved for the top professionals in the field.

Immerse yourself in 'Quantitative Finance' and become part of the elite group that stands at the forefront of the financial industry. Embrace the challenge, learn the most cutting-edge techniques available, and watch as your algorithmic trading evolves to new heights of success and profitability.


Похожее:

Список отзывов:

Нет отзывов к книге.