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247486490
Building Algorithmic Trading Systems: A Step-by-Step Guide
Item #:
247486490
INR 5202
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INR 5202
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- Building Algorithmic Trading Systems: A Step-by-Step Guide is an essential resource for anyone seeking to understand and master the art and science of algorithmic trading. This comprehensive guide navigates the complex interplay between technology, finance, and mathematics, offering readers a systematic approach to designing, coding, and deploying sophisticated trading algorithms. With clarity and precision, it illuminates foundational concepts while providing practical insights into data analysis, risk management, and the latest innovations in machine learning and AI applications within trading.The book delves deeply into the infrastructure required to support algorithmic trading, detailing the technological frameworks necessary for success in modern financial markets. Readers will benefit from expertly crafted sections on backtesting strategies, portfolio optimization, and ethical considerations, ensuring that they are well-equipped to create robust, efficient, and ethical trading systems. As markets evolve, this book stands as a beacon, guiding traders through emerging trends and regulatory landscapes, setting the stage for sustainable and informed trading practices.Whether you are a novice eager to explore the potentials of algorithmic trading or a seasoned professional looking to enhance your strategic acumen, Building Algorithmic Trading Systems offers invaluable knowledge and tools, ensuring your place at the forefront of financial innovation.
| Publisher | NobleTrex Press |
| Publication date | November 12, 2024 |
| Language | English |
| Print length | 339 pages |
| ISBN-13 | 979-8896650614 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 6 x 0.77 x 9 inches (15.2 x 2 x 22.9 cm) |
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Building Algorithmic Trading Systems: A Step-by-Step Guide
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Features & Benefits
- Comprehensive guide on algorithmic trading systems.
- Covers technology, finance, and mathematics integration.
- Offers practical insights into data analysis and risk management.
- Includes sections on backtesting strategies and portfolio optimization.
- Focus on ethical considerations and technological frameworks.
- Suitable for both novices and seasoned professionals.
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