Algorithmic Trading with Interactive Brokers (Python and C++)
85% of respondents would recommend this to a friend
SAR 182
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What Stands Out
Product Details
- Learn to develop applications for automated trading through Interactive Brokers using Python and C++
- Understand how to read financial data, scan for contracts, and submit orders automatically
- Develop full-scale trading systems with the guidance of fundamental classes and functions provided in the book
- Focus on Python and C++ coding with no assumed experience in financial trading
- Gain knowledge on stocks, bonds, options, and futures, and how to write applications for trading them
- Written by Matthew Scarpino, a veteran programmer with over twenty years of experience and a CFA Level II candidate
| Publisher | Quiller Technologies LLC |
| Publication date | 2 Sept. 2019 |
| Language | English |
| Print length | 418 pages |
| ISBN-10 | 0997303735 |
| ISBN-13 | 978-0997303735 |
| Item weight | 100 g |
| Dimensions | 19.05 x 2.41 x 23.5 cm |
Who Should Buy?
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Beginner Traders
Those new to algorithmic trading will benefit from comprehensive tutorials and clear examples provided in the product.
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Developers
Python and C++ developers looking to implement trading strategies through Interactive Brokers will find this resource invaluable.
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Quantitative Analysts
Professionals in quantitative finance can use the product to automate trading strategies and backtest algorithm performance efficiently.
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Non-Technical Users
Individuals without a programming background may find the technical aspects of this product challenging and difficult to apply.
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Editorial Review
Algorithmic Trading With Interactive Brokers Python And C++ is a comprehensive resource published by Quiller Technologies LLC, featuring 418 pages of engaging content. This book, published on September 2, 2019, is written in English and is perfect for those looking to enhance their algorithmic trading skills using popular programming languages. Readers appreciate the clear explanations and practical examples that help demystify complex trading strategies. The book also provides insights into using Interactive Brokers effectively, making it a favorite among both beginners and experienced traders. This guide serves as a valuable tool in the world of algorithmic trading, combining technical aspects with hands-on applications.
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Pros
- Comprehensive guide for algorithmic trading
- Clear explanations and practical examples
- Useful for both beginners and experienced traders
- Focused on Interactive Brokers platform
- Well-structured and easy to follow
Cons
- Some concepts may be challenging for absolute beginners
Product Price History
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Features & Benefits
- Develop applications based on IB's Trader Workstation programming interface using Python and C++
- Implement full-scale trading systems with algorithmic trading
- Focuses on Python and C++ coding with no experience in financial trading required
- Explains stocks, bonds, options, and futures
- Access financial data, scan for securities, computing technical indicators
- Practical algorithmic trading guide
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