Go from the bare basics to implementing your own automatic trading algorithm and become a cryptocurrency trading pro Key Features Excel at crypto trading with structured methodologies, practical examples, and real-time trading scenarios Go from the theoretical know-how to developing and testing your own strategy Transform manual trades into an automated algorithm for nonstop trades Purchase of the print or Kindle book includes a free PDF eBook Book...

An in-depth guide covering system architecture, low-latency strategies, risk management, and machine learning for experienced programmers looking to enter the financial industry and build high-performance trading systems Key Features Get started with building financial trading systems Focus on scalability, architecture, and implementing low-latency network communication in C++ Optimize code and use parallel computing techniques for better performance...

These shortcuts delve into generative AI, where algorithms and models create synthetic data, detect anomalies, and help confirm statistical properties. They explore how generative AI is reshaping risk management, fraud detection, and data simulation, and they offer a unique synthesis of theory and practical applications.

Explore Automated Market Makers (AMMs), the underlying protocols used by decentralized exchanges (DEX) to allow users to perform trades of cryptocurrencies in a decentralized way with no middlemen. This book provides a thorough study and a clear-cut exposition of the principal AMMs (Uniswap v2 and v3, Balancer, and Curve). You'll receive a detailed description of how these AMMs work, unveiling the mathematics behind them and showing plenty of examples...

Python is becoming the number one language for data science and also quantitative finance. This book provides you with solutions to common tasks from the intersection of quantitative finance and data science, using modern Python libraries.

"Finance students and practitioners may ask: Can machines learn everything? Where could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance. To finance students and practitioners, this book will explain the promise of AI and its limitations. It will cover knowledge representation,...

This book will provide knowledge and hands-on practical experience required to build a good understanding of how modern electronic trading markets and market participants operate. You will learn how to design, build and operate all the components required to build a practical and profitable algorithmic trading business using Python.

With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.