Post H.V.D., Strauss J. Algorithmic Essentials: Trading with Python: Your Comprehenive Guide for 2024

Reactive Publishing, 2024. — 350 p."Algorithmic Essentials: Trading with Python" unlocks the dynamic world of algorithmic trading, offering a unique blend of practical insight and technical expertise. This book is a must-read for those eager to harness the power of Python in the fast-paced arena of financial markets. It guides readers from the fundamentals of algorithmic trading to the development of their own trading systems using Python.The pages of this book are filled with clear, step-by-step instructions and real-world examples. Beginners will appreciate the straightforward explanations, while experienced traders will find value in the advanced strategies and Python code snippets. Whether you're looking to refine your trading approach or starting from scratch, "Algorithmic Essentials: Trading with Python" provides the tools to create more efficient and effective trading algorithms.Dive into topics such as market data analysis, risk management, and backtesting strategies. Learn how to automate trades and make split-second decisions based on complex data, all through the power of Python. This book is your gateway to turning theoretical knowledge into tangible skills in algorithmic trading. Join the ranks of savvy traders who have stepped into the future of the stock market with "Algorithmic Essentials: Trading with Python."Python's ease of use, adaptability, and extensive open-source library support have established it as a cornerstone in computational finance and algorithmic trading. It acts as a fundamental base for enacting and executing algorithmic trading strategies, owing to its key characteristics: clarity in syntax, a wide range of libraries, and robust community backing. With a syntax that is clean, intuitive, and predictable, Python embodies a characteristic brevity which makes it an accessible language for traders and developers alike. For a budding algorithmic trader, the learning curve with Python is less steep than with some other languages, making it an excellent entry point into the world of programming. Moreover, its readable syntax allows for easier debugging, a crucially important element in trading programs where bugs can be extremely costlyContents:
Chapter 1. The Basics of Algorithmic Trading
Chapter 2. Beginning with Python
Chapter 3. Comprehending Financial Data
Chapter 4. Fundamental Financial Analysis with Python
Chapter 5. Fundamentals of Machine Learning & AI in Finance
Chapter 6. Testing Your Strategies Retrospectively
Chapter 7. Market Microstructure
Chapter 8. High-Frequency Trading
Chapter 9. Handling Portfolio Risk
Chapter 10. Optimizing Trading Systems
Concluding Thoughts
Resources for Continued Learning
Recommended Reading