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48037420
Python for Algorithmic Trading: From Idea to Cloud Deployment (Paperback)
Vare #:
48037420
DKK 408
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By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field.
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Hvad der skiller sig ud
Comprehensive Guide
Covers the entire trading workflow from conceptualization to real-world application, enabling readers to transform ideas into profitable trading strategies seamlessly.
Cloud Deployment
Focuses on practical deployment methods into cloud platforms, allowing traders to access and manage algorithmic strategies remotely, ensuring flexibility and scalability.
User-Friendly
Written for both beginners and experienced traders, simplifying complex concepts through clear explanations and real-world examples, making algorithmic trading accessible for all.
Produktdetaljer
- A practical book by author Yves Hilpisch that demonstrates how to use Python in algorithmic trading for individuals and small organizations
- Covers various applications of Python in algorithmic trading, including backtesting trading strategies and interacting with online trading platforms
- Explores setting up a Python environment, retrieving financial data, and implementing machine learning for market predictions
- Guides readers through vectorization for financial analytics using NumPy and pandas, and real-time processing of streaming data with socket programming tools
- Provides insights into automated algorithmic trading strategies using the OANDA and FXCM trading platforms
- Aims to level the playing field by showing how Python can be used to systematically build and deploy automated trading strategies
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2020 |
| Pages | 378 |
| Reading level | Professional and Scholarly |
| Subgenre | Computers |
| Edition | 1st Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Editor | Kavita Singh NSCA -National Strength & Conditioning Association, Lorena Torres Ronda |
| Assembled product dimensions (l x w x h) | 7.00 x 0.90 x 9.10 in (17.8 x 2.3 x 23.1 cm) |
| Assembled product weight | 1.35 lb (610 grams) |
| Bisac subject heading | Computers, Business & Economics |
Hvem bør købe?
-
Aspiring Traders
Individuals looking to leverage Python for developing algorithmic trading strategies will benefit from practical guidance and resources.
-
Developers Transitioning
Developers wanting to transition into finance and trading using Python will find valuable insights on implementing algorithms.
-
Cloud Enthusiasts
Users interested in cloud deployment of trading algorithms will gain knowledge in cloud services integration for financial applications.
-
Absolute Beginners
Those without foundational programming or trading knowledge may struggle with the advanced concepts presented in this book.
Produktbeskrivelse
Python for Algorithmic Trading: From Idea to Cloud Deployment (Paperback)
About This Item
Introducing "Python for Algorithmic Trading: From Idea to Cloud Deployment" Paperback, a comprehensive guide for traders and enthusiasts looking to leverage Python's power for successful algorithmic trading strategies. Authored by Yves Hilpisch, this book provides expert insights and hands-on examples to help you navigate the world of algorithmic trading. ISBN: 9781492053354 Format: Paperback Publication Date: 2021-02-09 Delve into the fascinating realm of algorithmic trading and gain a solid understanding of its principles. This book offers valuable knowledge and practical techniques to effectively implement algorithmic trading strategies using Python.
Whether you're a beginner or an experienced trader, this resource is designed to take you from idea to cloud deployment, equipping you with the skills needed to create profitable trading systems. With the Python programming language becoming increasingly popular in the finance industry, this book explores its potential in the context of algorithmic trading. Discover how to implement trading strategies, develop trading systems, and leverage cloud deployment to execute trades efficiently. Key Features: 1. Algorithmic Trading Strategies: Unlock a wide range of proven strategies and learn how to implement them effectively for maximum profitability. 2.
Python Algorithmic Trading Library: Familiarize yourself with popular Python libraries specifically designed for algorithmic trading, enabling you to streamline your workflow. 3. Algorithmic Trading System: Learn how to design and build your own algorithmic trading system from scratch using Python's versatile capabilities. 4. Algorithmic Trading Software: Gain insights into popular algorithmic trading software and understand how to integrate them seamlessly with your Python code. 5.
Algorithmic Trading Platform: Explore different algorithmic trading platforms and determine the best fit for your trading needs. 6. Python Algorithmic Trading Bot: Dive into the world of automated trading and develop your Python-based trading bot to execute trades on your behalf. 7. Algorithmic Trading Algorithms: Master the art of designing and implementing effective trading algorithms using Python as your primary programming language. Are you ready to harness the power of Python for algorithmic trading? This book serves as your comprehensive guide, providing step-by-step instructions, real-world examples, and invaluable insights to help you succeed in the exciting and ever-evolving world of algorithmic trading. Take your trading skills to new heights with "Python for Algorithmic Trading: From Idea to Cloud Deployment" Paperback.
Order now and start maximizing your trading potential!.
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Yves Hilpisch All Books Editorial Review
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DKK 408
Bestil nu og få den omkring Tirsdag, Oktober 27
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Sikker transaktion
PCI DSS-kompatibel og ISO 27001:2022-certificeret, med krypteret betaling og fuld køberbeskyttelse på hver ordre
Vores bedste logistikpartnere
Hurtigste grænseoverskridende levering
Egenskaber og fordele
- Set up a proper Python environment for algorithmic trading
- Explore vectorization for financial analytics with NumPy and pandas
- Master vectorized backtesting of different algorithmic trading strategies
- Generate market predictions by using machine learning and deep learning
- Tackle real-time processing of streaming data with socket programming tools
- Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms
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