Algorithmic Trading (Paperback)

Sprache: Englisch

Verlag: Independently Published, 2024

9798327378728

Serie: Buch 6 von 16 - Python Libraries for Finance

Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 29. Juni 2022

Softcover

Zustand: Neu

EUR 54,31

EUR 44,35 Versand 
Versand von Vereinigtes Königreich nach USA

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Artikelbeschreibung des Verkäufers

Paperback. Reactive PublishingIn the fast-paced world of finance, the edge goes to those who can seamlessly blend technology with trading strategy. "Algorithmic Trading: How to Effectively Profit with Python" is your ultimate guide to mastering algorithmic trading, harnessing the power of Python to unlock new levels of profitability and efficiency.Overview: "Algorithmic Trading: How to Effectively Profit with Python" offers a comprehensive dive into the world of algorithmic trading. Whether you're a seasoned trader or a novice investor, this book provides you with the tools and knowledge to automate your trading strategies, optimize your portfolio, and stay ahead of market trends.What You Will Learn: Fundamentals of Algorithmic Trading: Understand the core concepts and advantages of algorithmic trading, including risk management and strategy optimization.Python for Trading: Step-by-step tutorials on leveraging Python, one of the most versatile and powerful programming languages, for developing and executing trading algorithms.Data Analysis and Backtesting: Learn how to use Python libraries such as Pandas, NumPy, and Matplotlib to analyze market data, backtest your strategies, and improve their performance.Real-World Applications: Discover practical examples and case studies that illustrate the application of algorithmic trading strategies in real-world scenarios.Advanced Techniques: Explore advanced topics such as machine learning, sentiment analysis, and high-frequency trading to gain a competitive edge.Why This Book?Hands-On Approach: Practical exercises and code snippets guide you through each concept, ensuring you can apply what you learn directly to your trading endeavors.Expert Insights: Gain insights from an experienced financial analyst and Python programmer, with tips and tricks to avoid common pitfalls and maximize your returns.Comprehensive Resource: This book serves as a one-stop resource, covering everything from the basics to advanced techniques, making it suitable for traders at all levels.Who Should Read This Book?Aspiring algorithmic traders looking to enter the field with a solid foundation.Experienced traders seeking to automate their strategies and increase efficiency.Financial analysts and quants interested in enhancing their skill set with Python.Python developers looking to apply their programming skills to the financial markets.About the Author: Hayden Van Der Post, a seasoned financial analyst and Python enthusiast, combines years of industry experience with a passion for teaching. With a background in finance and technology, [Author Name] brings a unique perspective to the world of algorithmic trading, making complex concepts accessible and actionable for all readers.Embrace the future of trading and take control of your financial destiny with "Algorithmic Trading: How to Effectively Profit with Python." Transform your approach to the markets and discover the limitless potential of algorithmic trading today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Bestandsnummer des Verkäufers 9798327378728

Titel
Algorithmic Trading (Paperback)
Autor
Reactive Publishing
Verlag
Independently Published
Erscheinungsjahr
2024
Zustand
new
Einband
Paperback
Sprache
Englisch
ISBN-13
9798327378728
Serie
Buch 6 von 16: Python Libraries for Finance

CitiRetail

Stevenage, Vereinigtes Königreich

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 29. Juni 2022

Versandkosten von Vereinigtes Königreich nach USA

Artikel7 bis 14 Werktage7 bis 60 Werktage
Erster ArtikelEUR 44,35EUR 44,35
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