Shop Stickerbox
Buy New
To see product details, add this item to your cart.
Ships from: Amazon.com
Sold by: Amazon.com
To see product details, add this item to your cart. You can always remove it later.
Shipper / Seller
Amazon.com
Amazon.com
Shipper / Seller
Amazon.com
Returns
30-day refund / replacement
30-day refund / replacement
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt.
Read full return policy
Gift options
Available at checkout
Available at checkout This item is a gift. Change
At checkout, you can add a custom message, a gift receipt for easy returns and have the item gift-wrapped
Payment
Secure transaction
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
To see product details, add this item to your cart. You can always remove it later.
Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc... Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc... See less
Access codes and supplements are not guaranteed with used items.
Added to

Sorry, there was a problem.

There was an error retrieving your Wish Lists. Please try again.

Sorry, there was a problem.

List unavailable.
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

  • Python for Algorithmic Trading: From Idea to Cloud Deployment

Follow the author

Get new release updates & improved recommendations
Yves J. Hilpisch
Follow
Something went wrong. Please try your request again later.

Python for Algorithmic Trading: From Idea to Cloud Deployment

by Yves Hilpisch (Author) Format: Paperback
4.4 out of 5 stars (151)

Purchase options and add-ons

Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading.

You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field.

  • Set up a proper Python environment for algorithmic trading
  • Learn how to retrieve financial data from public and proprietary data sources
  • 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

Read more
Previous slide of product details
  1. ISBN-10
    149205335X
  2. ISBN-13
    978-1492053354
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    December 22, 2020
  6. Language
    English
  7. Dimensions
    7.25 x 0.75 x 9.25 inches
  8. Print length
    378 pages
Next slide of product details
Books%20with%20Buzz
Books with Buzz
Discover the latest buzz-worthy books, from mysteries and romance to humor and nonfiction. Explore more

Frequently bought together

This item: Python for Algorithmic Trading: From Idea to Cloud Deployment
$40.12
Get it as soon as Tuesday, Sep 22
Only 15 left in stock (more on the way).
Ships from and sold by Amazon.com.
+
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systemati
$47.60
Get it as soon as Tuesday, Sep 22
In Stock
Ships from and sold by Amazon.com.
+
Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with P
$44.99
Get it as soon as Tuesday, Sep 22
In Stock
Ships from and sold by Amazon.com.
Total price: $00
To see our price, add these items to your cart.
Details
Added to Cart
Some of these items ship sooner than the others.
Show details Hide details
Choose items to buy together.

Customers who viewed this item also viewed

Page 1 of 1 Start over
Previous set of slides
Next set of slides

Customers also bought or read

Page 1 of 1Start over
Previous page
  4. Book cover Python for Finance: Mastering Data-Driven Finance
    Python for Finance: Mastering Data-Driven Finance
    Paperback
    $56.56
    $3.99 delivery Sep 28 - Oct 1
  5. Book cover Advances in Financial Machine Learning
    Advances in Financial Machine Learning
    Hardcover
    $32.53
    Delivery Mon, Sep 21
  8. Book cover Artificial Intelligence in Finance: A Python-Based Guide
    Artificial Intelligence in Finance: A Python-Based Guide
    Paperback
    $49.49
    FREE delivery Tue, Sep 22
  14. Book cover Trading and Exchanges: Market Microstructure for Practitioners
    Trading and Exchanges: Market Microstructure for Practitioners
    Hardcover
    $105.00
    FREE delivery Thu, Sep 24
  16. Book cover Hands-On AI Trading with Python, QuantConnect, and AWS
    Hands-On AI Trading with Python, QuantConnect, and AWS
    Hardcover
    $16.99
    Delivery Tue, Sep 22
  18. Book cover Fluent Python: Clear, Concise, and Effective Programming
    Fluent Python: Clear, Concise, and Effective Programming
    Paperback
    $43.99
    FREE delivery Mon, Sep 21
  21. Book cover A Practical Guide To Quantitative Finance Interviews
    A Practical Guide To Quantitative Finance Interviews
    Paperback
    $26.20
    Delivery Tue, Sep 22
  22. Book cover Trading Systems and Methods (Wiley Trading)
    Trading Systems and Methods (Wiley Trading)
    Hardcover
    $80.94
    FREE delivery Mon, Sep 21
  23. Book cover The Elements of Quantitative Investing (Wiley Finance)
    The Elements of Quantitative Investing (Wiley Finance)
    Hardcover
    $46.20
    FREE delivery Mon, Sep 21
Next page
Loading...

From the brand

  2. Artificial Intelligence in Finance: A Python-Based Guide
    Reinforcement Learning for Finance: A Python-Based Introduction
    Financial Data Engineering: Design and Build Data-Driven Financial Products
    Learning Modern C++ for Finance: Foundations for Quantitative Programming

    Start learning with O'Reilly

    Visit the Store

  3. Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
    Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
    Understanding DeFi: The Roles, Tools, Risks, and Rewards of Decentralized Finance
    Financial Theory with Python: A Gentle Introduction

    Explore more finance resources

    Visit the Store

  4. Mastering Blockchain: Unlocking the Power of Cryptocurrencies, Smart Contracts, and Decentralized...
    Blockchain Tethered AI: Trackable, Traceable Artificial Intelligence and Machine Learning
    Mastering Bitcoin: Programming the Open Blockchain
    Mastering the Lightning Network: A Second Layer Blockchain Protocol for Instant Bitcoin Payments

    Blockchain & Cryptocurrency

    Visit the Store

  5. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable ...
    AI Engineering: Building Applications with Foundation Models
    Fundamentals of Software Architecture: A Modern Engineering Approach
    Fundamentals of Data Engineering: Plan and Build Robust Data Systems

    More From O'Reilly

    Visit the Store

  6. Sharing the knowledge of experts

    O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

From the Publisher

Python, Algorithmic Trading, finance

From the Preface

Finding the right algorithm to automatically and successfully trade in financial markets is the holy grail in finance. Not too long ago, algorithmic trading was only available and possible for institutional players with deep pockets and lots of assets under management. Recent developments in the areas of open source, open data, cloud compute, and cloud storage, as well as online trading platforms, have leveled the playing field for smaller institutions and individual traders, making it possible to get started in this fascinating discipline while equipped only with a typical notebook or desktop computer and a reliable internet connection.

Nowadays, Python and its ecosystem of powerful packages is the technology platform of choice for algorithmic trading. Among other things, Python allows you to do efficient data analytics (with pandas, for example), to apply machine learning to stock market prediction (with scikit-learn, for example), or even to make use of Google’s deep learning technology with TensorFlow.

This is a book about Python for algorithmic trading, primarily in the context of alpha generating strategies (see Chapter 1). Such a book at the intersection of two vast and exciting fields can hardly cover all topics of relevance. However, it can cover a range of important meta topics in depth.

These topics include:

  • Financial data: Financial data is at the core of every algorithmic trading project. Python and packages like NumPy and pandas do a great job of handling and working with structured financial data of any kind (end-of-day, intraday, high frequency).
  • Backtesting: There should be no automated algorithmic trading without a rigorous testing of the trading strategy to be deployed. The book covers, among other things, trading strategies based on simple moving averages, momentum, mean-reversion, and machine/deep-learning based prediction.
  • Real-time data: Algorithmic trading requires dealing with real-time data, online algorithms based on it, and visualization in real time. The book provides an introduction to socket programming with ZeroMQ and streaming visualization.
  • Online platforms: No trading can take place without a trading platform. The book covers two popular electronic trading platforms: Oanda and FXCM.
  • Automation: The beauty, as well as some major challenges, in algorithmic trading results from the automation of the trading operation. The book shows how to deploy Python in the cloud and how to set up an environment appropriate for automated algorithmic trading.

Python, Algorithmic Trading, finance

Who This Book Is For

This book is for students, academics, and practitioners alike who want to apply Python in the fascinating field of algorithmic trading. The book assumes that the reader has, at least on a fundamental level, background knowledge in both Python programming and in financial trading. For reference and review, the Appendix A introduces important Python, NumPy, matplotlib, and pandas topics.

The following are good references to get a sound understanding of the Python topics important for this book.

Financial Theory with Python: A Gentle Introduction
Python for Finance: Mastering Data-Driven Finance
Python for Algorithmic Trading: From Idea to Cloud Deployment
Artificial Intelligence in Finance: A Python-Based Guide
Reinforcement Learning for Finance: A Python-Based Introduction
Customer Reviews
4.3 out of 5 stars 38
4.6 out of 5 stars 323
4.4 out of 5 stars 151
4.5 out of 5 stars 66
5.0 out of 5 stars 4
Also by Yves Hilpisch A Gentle Introduction Mastering Data-Driven Finance From Idea to Cloud Deployment A Python-Based Guide A Python-Based Introduction

Editorial Reviews

About the Author

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http://tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O'Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program (http://cqf.com), on data science at htw saar University of Applied Sciences (http://htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ December 22, 2020
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 378 pages
  • ISBN-10 ‏ : ‎ 149205335X
  • ISBN-13 ‏ : ‎ 978-1492053354
  • Item Weight ‏ : ‎ 2.31 pounds
  • Dimensions ‏ : ‎ 7.25 x 0.75 x 9.25 inches
  • Best Sellers Rank: #220,510 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.4 out of 5 stars (151)

About the author

Follow authors to get new release updates, plus improved recommendations.
Yves J. Hilpisch

Yves J. Hilpisch

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Dr. Yves J. Hilpisch is founder and CEO of The Python Quants (http://tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also the founder and CEO of The AI Machine (http://aimachine.io), a company focused on AI-powered algorithmic trading based on a proprietary strategy execution platform.

Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance and is Adjunct Professor for Computational Finance.

Yves is the author of five books (https://home.tpq.io/books):

* Artificial Intelligence in Finance (O’Reilly, forthcoming)

* Python for Algorithmic Trading (O’Reilly, forthcoming)

* Python for Finance (2018, 2nd ed., O’Reilly)

* Listed Volatility and Variance Derivatives (2017, Wiley Finance)

* Derivatives Analytics with Python (2015, Wiley Finance)

Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https://home.tpq.io/certificates/pyalgo) and Computational Finance (https://home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http://cqf.com).

Yves is the originator of the financial analytics library DX Analytics (http://dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence and algorithmic trading in London (http://pqf.tpq.io), New York (http://aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.

Related books

Page 1 of 1Start Over
Sponsored
Previous page
  1. Shop the Store on Amazon ›
    AI IN BUSINESS - AN EXECUTIVE GUIDE FOR BEGINNERS: Leverage Artificial Intelligence to Simplify Automation, Improve Data-Driven Decisions, Maximize ROI and Elevate Customer Experience
    AI IN BUSINESS - AN EXECUTIVE GUIDE FOR BEGINNERS: Leverage Artificial Intelligence to Simplify Automation, Improve Data-Driven Decisions, Maximize ROI and Elevate Customer Experience
    4.74.7 out of 5 stars32
    $16.99
  2. Shop the Store on Amazon ›
    Python Programming for Beginners: The Complete Python Coding Crash Course - Boost Your Growth with an Innovative Ultra-Fast Learning Framework and Exclusive Hands-On Interactive Exercises & Projects
    Python Programming for Beginners: The Complete Python Coding Crash Course - Boost Your Growth with an Innovative Ultra-Fast Learning Framework and Exclusive Hands-On Interactive Exercises & Projects
    4.54.5 out of 5 stars1,011
    $24.90
  3. Shop the Store on Amazon ›
    Day Trading: Quickstart Guide for Beginners with Powerful Strategies to Trade Options, Stocks, Forex, Futures, Crypto and ETFs to Generate a Continuous Cash Flow.
    Day Trading: Quickstart Guide for Beginners with Powerful Strategies to Trade Options, Stocks, Forex, Futures, Crypto and ETFs to Generate a Continuous Cash Flow.
    4.44.4 out of 5 stars96
    $19.99
  4. Shop the Store on Amazon ›
    Python Programming Projects Workbook for Kids: Master Python in 1 month with 150 Outrageously Fun Small Python Programs for Kids (2026 Python Coding for Absolute Beginners)
    Python Programming Projects Workbook for Kids: Master Python in 1 month with 150 Outrageously Fun Small Python Programs for Kids (2026 Python Coding for Absolute Beginners)
    4.34.3 out of 5 stars56
    $19.99
  5. Shop the Store on Amazon ›
    50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
    50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
    4.74.7 out of 5 stars118
    $33.77 List:$49.99
Next page