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Item #:
17089307
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques
87% of respondents would recommend this to a friend
Item #:
17089307
€ 75
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Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques provides insights into trading strategies and models with advanced statistical methods, predictive analytics, and neural networks.
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What Stands Out
Advanced Techniques
Utilizes cutting-edge statistical methods and machine learning to refine trading strategies, surpassing traditional approaches in accuracy and decision-making efficiency for serious traders and analysts.
Practical Applications
Offers real-world examples and case studies, helping users directly apply complex concepts to financial scenarios, making it accessible for both novices and experienced algorithmic traders.
Comprehensive Coverage
Covers a wide range of topics, from optimization to risk management, providing a holistic understanding of algorithmic trading, essential for anyone aiming to excel in financial markets.
Product Details
- Sequel to The Science of Algorithmic Trading and Portfolio Management
- New chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods
- Focus on trading strategies, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements
- Includes guidance on investment techniques, best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis
- Incorporates advanced modeling techniques using machine learning, predictive analytics, and neural networks
- Provides readers with a suite of transaction cost analysis functions accessible via numerous software applications and programming languages
| Publisher | Academic Press |
| Publication date | September 18, 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 612 pages |
| ISBN-10 | 0128156309 |
| ISBN-13 | 978-0128156308 |
| Item Weight | 3.25 pounds (1.47 kg) |
| Dimensions | 7.52 x 1.44 x 9.25 inches (19.1 x 3.7 x 23.5 cm) |
Who Should Buy?
-
Quantitative Analysts
Ideal for professionals seeking to apply statistical and machine learning techniques in financial markets for trading strategies.
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Data Scientists
Beneficial for data scientists focusing on financial data to enhance algorithmic trading models with innovative methodologies.
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Finance Students
Useful resource for students in finance aiming to understand practical applications of statistics and machine learning in trading.
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Beginner Traders
Not suitable for novice traders lacking foundational knowledge in statistics and algorithmic trading concepts or applications.
Product Description
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques
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Banks & Banking Editorial Review
This book provides advanced techniques in algorithmic trading, but is poorly edited with several mistakes in pronoun agreement and sentence construction. Despite these shortcomings, the book is still informative and worth reading for those with some experience in the subject matter.
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Pros
- Provides advanced techniques in algorithmic trading
- Contains a lot of theory that is difficult to find in other books
Cons
- Poorly edited with mistakes in pronoun agreement and sentence construction
Product Price History
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Features & Benefits
- New insights on trading strategies and models
- Includes advanced modeling techniques such as predictive analytics and neural networks
- Covers pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements
- Assists in the best execution process, model validation, and quality assurance testing
- Accessible via numerous software applications and programming languages
- Provides a suite of transaction cost analysis functions
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